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                    <text>International Conference on Economic and Social Studies, 10-11 May, 2013, Sarajevo

The Relation between Self-Esteem in Decision Making,
Decision Making Styles and Problem Solving Skills
Yusuf Yılmaz
Akdeniz University, Antalya, Turkey
yusufyilmaz@akdeniz.edu.tr
Sevcan Yıldız
Akdeniz University, Antalya, Turkey
sevcanyildiz@akdeniz.edu.tr
The aim of this study is to examine whether a relationship between SelfEsteem in Decision Making, Decision Making Styles and Problem Solving
Skills. The importance of this study stems from the fact that there are very
few studies in national and international literature regarding self-esteem,
decision making styles, and problem solving skills of employees working in
the tourism sector. In this respect, this study shall greatly contribute to the
literature. The working group of the study consists of 442 participants who
are working actively as tourist guides in the provinces of Antalya, Ankara,
Muğla and Antalya. Correlation analysis was applied to testing hypothesis.
Keywords: Professional Tourist Guide, Self-Esteem, Problem Solving,
Problem Solving Skills, Decision Making, Tourism Management.

277

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                <text>YILMAZ, Yusuf
YILDIZ, Sevcan</text>
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                <text>The aim of this study is to examine whether a relationship between Self-  Esteem in Decision Making, Decision Making Styles and Problem Solving  Skills. The importance of this study stems from the fact that there are very  few studies in national and international literature regarding self-esteem,  decision making styles, and problem solving skills of employees working in  the tourism sector. In this respect, this study shall greatly contribute to the  literature. The working group of the study consists of 442 participants who  are working actively as tourist guides in the provinces of Antalya, Ankara,  Muğla and Antalya. Correlation analysis was applied to testing hypothesis.  Keywords: Professional Tourist Guide, Self-Esteem, Problem Solving,  Problem Solving Skills, Decision Making, Tourism Management.</text>
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                    <text>International Conference on Economic and Social Studies, 10-11 May, 2013, Sarajevo

The Impact of the Arab Spring on Turkish Foreign Trade,
Opportunities and Threats
Mutlu Yılmaz
Gediz University, İzmir, Turkey
mutlu.yilmaz@gediz.edu.tr
Aslıhan Kocaefe Cebeci
Gediz University, İzmir, Turkey
aslihan.kocaefe@gediz.edu.tr
Doğan Uysal
Celal Bayar University, Manisa, Turkey
dogan.uysal@cbu.edu.tr
December 17, 2010 marks the beginning of a period known as the Arab
Spring throughout which undemocratic regimes lacking economic liberty
has been overturned. This revolutionary period initiated first in Tunisia
with rebellions and spread through Egypt in February 17, 2011. Having
influenced from this period, Libya also overturned its dictators. Another
country where this period called the Arab Spring has been experienced is
Syria.
This study aims at scrutinizing the effects of the Arab Spring on Turkish
Foreign Trade. The factors paving the way for the development of the Arab
Spring and its expansion to other African and Middle Eastern countries is
evaluated in a chronological order. In this study, the scope of the
evaluation regarding the impact of the Arab Spring on Turkish Foreign
Trade is limited with Tunisia, Morocco, Egypt, Libya and Syria where this
period has been felt deeply. The impact of the crisis on other African and
Middle Eastern countries remains outside the scope of this study. The
impact of the Arab Spring on Turkish Foreign Trade is evaluated by
referring to the import/export values of the above mentioned countries
both before and after the crisis and having completed the assessment of
the situation we tried to evaluate the risks and opportunities in the long
run. Furthermore, in studying Turkey’s market variations in its export
activities, import and export values among the Middle Eastern and North
African Countries known as MENA have been taken as a reference. The
impact of the Arab Spring within the scope of the MENA Countries is

217

�International Conference on Economic and Social Studies, 10-11 May, 2013, Sarajevo

evaluated in comparison with the five particular countries subject to this
study.
In the first part the conditions and factors preparing the development of
the Arab Spring has been evaluated and in the following parts the import
and export values realized between Turkey and the other five countries
namely Tunisia, Syria, Libya, Egypt and Morocco have been reviewed. In
the next part, the impact of the Arab Spring on the Middle Eastern and
North African Countries (MENA) is studied. In the last part of the study an
overall evaluation of the impact of the Arab Spring on our foreign trade has
been carried out by taking the period between 2010 and 2012 into
consideration and in this respect the bilateral trade activities between
Turkey and Tunisia, Morocco, Egypt, Syria and Libya have been reviewed
on a periodical basis throughout which the impact of the crisis was deeply
felt, a trend towards amelioration was experienced and normal conditions
was sustained.
In the conclusion the impact and the results of the Arab Spring on Turkish
Foreign Trade have been evaluated in a period when Turkey developed a
zero problem policy in particular with the neighboring countries and the
question whether this political crisis impose an opportunity or threat for
Turkey in the short and medium run is discussed.
Keywords: The Arab Spring, Foreign Trade, Political and Economic Crisis

218

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KOCAEFE CEBECI, Aslihan
UYSAL, Dogan</text>
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                <text>December 17, 2010 marks the beginning of a period known as the Arab  Spring throughout which undemocratic regimes lacking economic liberty  has been overturned. This revolutionary period initiated first in Tunisia  with rebellions and spread through Egypt in February 17, 2011. Having  influenced from this period, Libya also overturned its dictators. Another  country where this period called the Arab Spring has been experienced is  Syria.  This study aims at scrutinizing the effects of the Arab Spring on Turkish  Foreign Trade. The factors paving the way for the development of the Arab  Spring and its expansion to other African and Middle Eastern countries is  evaluated in a chronological order. In this study, the scope of the  evaluation regarding the impact of the Arab Spring on Turkish Foreign  Trade is limited with Tunisia, Morocco, Egypt, Libya and Syria where this  period has been felt deeply. The impact of the crisis on other African and  Middle Eastern countries remains outside the scope of this study. The  impact of the Arab Spring on Turkish Foreign Trade is evaluated by  referring to the import/export values of the above mentioned countries  both before and after the crisis and having completed the assessment of  the situation we tried to evaluate the risks and opportunities in the long  run. Furthermore, in studying Turkey’s market variations in its export  activities, import and export values among the Middle Eastern and North  African Countries known as MENA have been taken as a reference. The  impact of the Arab Spring within the scope of the MENA Countries is evaluated in comparison with the five particular countries subject to this  study.  In the first part the conditions and factors preparing the development of  the Arab Spring has been evaluated and in the following parts the import  and export values realized between Turkey and the other five countries  namely Tunisia, Syria, Libya, Egypt and Morocco have been reviewed. In  the next part, the impact of the Arab Spring on the Middle Eastern and  North African Countries (MENA) is studied. In the last part of the study an  overall evaluation of the impact of the Arab Spring on our foreign trade has  been carried out by taking the period between 2010 and 2012 into  consideration and in this respect the bilateral trade activities between  Turkey and Tunisia, Morocco, Egypt, Syria and Libya have been reviewed  on a periodical basis throughout which the impact of the crisis was deeply  felt, a trend towards amelioration was experienced and normal conditions  was sustained.  In the conclusion the impact and the results of the Arab Spring on Turkish  Foreign Trade have been evaluated in a period when Turkey developed a  zero problem policy in particular with the neighboring countries and the  question whether this political crisis impose an opportunity or threat for  Turkey in the short and medium run is discussed.  Keywords: The Arab Spring, Foreign Trade, Political and Economic Crisis</text>
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                    <text>International Conference on Economic and Social Studies, 10-11 May, 2013, Sarajevo

A Comparison and an Implementation of Time Driven
Activity Based Costing and Activity Based Costing
Methods in Private Schools
Metin Yılmaz
Dumlupınar University, Kütahya, Turkey
metinyilmaz@dpu.edu.tr
Ali Coşkun
Fatih University, İstanbul, Turkey
alicoskun@fatih.edu.tr
Şenay Yılmaz
Dumlupınar University, Kütahya, Turkey
senay.yilmaz@dpu.edu.tr
Due to the recent increase in demand for private schools, these schools
have experienced a growth in number and in significance. Therefore, it has
been crucial for the executives of private schools to be able to gain
competitive advantage and to make strategically decisions. This increase of
demand for private schools has also increased the competition in the area.
Due to this increasing competition in private schooling, it has been more
significant to correctly calculate the costs. This study points out the
applicability of activity based costing and time based activity based costing
methods of modern costing methods and the differences between them so
that the executives of private schools could make strategic decisions. Even
though both activities based costing and time driven activity based costing
methods can be applied in private schools, it seems more advantageous to
apply time driven activity based costing since it allows a faster way to
access the information and it is easier to update, which provides a better
chance for long-lasting usage.
Keywords: Activity Based Costing Method; Time Driven Activity Based
Costing Method; Private Education; Costing; Education Institution.

208

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                    <text>International Conference on Economic and Social Studies (ICESoS` 13)
"Economic Crises and European Union"

A Comparison and an Implementation of Time Driven Activity Based Costing
and Activity Based Costing Methods in Private Schools
Metin Yilmaz
Dumlupinar University, Kutahya, Turkey
metinyilmaz@dpu.edu.tr
Ali Coskun
Fatih University, Istanbul, Turkey
alicoskun@fatih.edu.tr
Senay Yilmaz
Dumlupinar University, Saphane Vocational School, Kutahya, Turkey
senay.yilmaz@dpu.edu.tr

Abstract
Due to the recent increase in demand for private schools, these schools have
experienced a growth in number and in significance. Therefore, it has been crucial for
the executives of private schools to be able to gain competitive advantage and to make
strategically decisions. This increase of demand for private schools has also increased
the competition in the area. Due to this increasing competition in private schooling, it
has been more significant to correctly calculate the costs. This study points out the
applicability of activity based costing and time driven activity based costing methods
of modern costing methods and the differences between them so that the executives of
private schools could make strategic decisions. Even though both Activity Based
Costing (ABC) and Time Driven Activity Based Costing (TDABC) methods can be
applied in private schools, it seems more advantageous to apply time driven activity
based costing since it allows a faster way to access the information and it is easier to
update, which provides a better chance for long-lasting usage.
Keywords: Activity Based Costing Method; Time Driven Activity Based Costing
Method; Private Education; Costing; Education Institution.

Introduction
The present scene of intense competition forces enterprises to seek ways to produce quality
products with the minimum cost. The goal is to increase the feasibility and to reduce the
costing due to the production of shortened time through the elimination of the unnecessary
(Yükcü, 2000; Yilmaz, 2012). The fast growing global competition and technological
development have required an alteration of approaches and practices particularly in enterprise
management. Naturally, it has been followed by the search for new approaches in accounting
management, which is the base for administrative decision making. Recently experienced
alterations and approaches, as their natural outcomes, requires an adaptation process to meet
the needs for methods of costing and administrative accounting within enterprises
(Hacirüstemoglu ve Sakrak, 2002).
Regarding the future of the enterprise, it has been crucially significant for administrators to
reach the most accurate costing data in the fastest way. TDABC, as a driver distribution, has
made ABC method even simpler through the usage of solely “time” driver. Therefore,

�International Conference on Economic and Social Studies (ICESoS` 13)
"Economic Crises and European Union"
TDABC leads to faster and more effective decision making and a better usage of institutional
performance.
Activity Based Costing Method
With technology becoming a significant factor within modern production scene, the total
costing of enterprises has experienced a change. Direct labor, the used to be basis of
production costing has been replaced by indirect factors. Therefore, it seems that loading
keys, such as direct labor, functions insufficiently in distributing general production costs into
products and services; besides that, these keys are becoming far from representing the
relationship between the general production costs and products and services (Gering, 1999;
Beheshti, 2004; Hacirüstemoglu ve Sakrak, 2002).
The goal of ABC approach is to be able to calculate product costs and services in a reliable
fashion considering the fact that an easier way of calculation is possible without being
dependent on production volume of some costing types (Rayburn, 1996).
ABC method is determined as a method to produce the most accurate data needed by the
administrators and as an alternative to traditional costing methods (Gupta and Galloway,
2003; Weetman, 2003). In addition to this, ABC method provides data on cost factors,
activities, resources, performance measurement, customer profitability, distribution chains,
merchandisers, brands, and on other fields that directly affect the profitability of an enterprise.
ABC method relies on processes, activities, and then products, services, and customers for
resource costing so that the costing can be calculated more reliably (Cooper and Kaplan,
1988; Eker, 2002; Kaplan and Atkinson, 1998). ABC method is defined as “ an attitude of
management and costing which is based on the idea that products consume the resources of
the enterprise on the level of activity thus points out that indirect expenses must be classified
among activities and which recognizes linear relationships between products and indirect
expenses without depending solely on production volume (Oker, 2003).
ABC method offers a number of advantages for the enterprises.
Among these advantages: (Innes and Mitchell, 1990; Ozer, 2004; Gokcen, 2004);


It provides a reliable indicator regarding particularly the cost of long-term variable
goods for strategic level administrative decision making.



It provides meaningful financial or non-financial data for operational level cost
management and performance assessment.



ABC, to gain competitive advantage, determines what goods, if altered, will deliver
cost saving in terms of product model.



ABC focuses on customer satisfaction on basis of demand and needs by indicating
available activity fields for cost reduction.



It provides more realistic and more meaningful costing data.



For offering more detailed and thorough data on activity costs and cost drivers it
provides assistance for administrators regarding costing management and pricing.

The phases to set up ABC method follow these steps (Garrison and Noreen, 2000; Oker,
2003):


Determining activities.

�International Conference on Economic and Social Studies (ICESoS` 13)
"Economic Crises and European Union"


Categorizing activities (determining activity cost pools).



Redistribution of indirect costs based on activities (loading cost onto activity cost
pools).



Determining suitable cost factors for transferring costs into goods.



Loading activity costs onto goods.

Despite the benefits of ABC, it never gained widespread acceptance, largely because of
problems in implementing it. ABC usually requires time-consuming surveys and high dataprocessing costs; in addition, there are significant behavioral and organizational hurdles (Oker
and Adıgüzel, 2010 ). The shortcomings of ABC method can be classified into four groups:
the complexity of the method, mistakes of computation in the method, the long time period
required to set up the method, and the difficulties of updating the ABC method (Kosan, 2007).
Time Driven Activity Based Costing Method
TDABC offers an easy-to-update and implement, transparent, and scalable method by
eliminating the difficulties faced with ABC. It offers a practical and systematic option to
enterprises for customer, products and the profitability of orders, capacity utilization and
determining costs. The most remarkable feature of TDABC approach is that it allows the
capacity to be calculated dynamically, to be added to activity costs, and to be dissociated from
unutilized capacity costs (Kaplan and Anderson, 2007; Yilmaz and Baral, 2007).
TDABC shortens and thus simplifies the process of cost calculation by shortening the
research period of implementers for time-consuming interviews and for including resource
costs within activities. Many enterprises have given up ABC method since it is costly to form,
maintain and time-consuming to implement. To solve these issues, TDABC notion has been
suggested. TDABC is a method offering a chance to define complex operations in a simple
way through the usage of time equations (Bruggeman, et al., 2005).
This method makes it possible to generate a simpler ABC method, also to easily update the
changes within model structure, and to dynamically reflect the determined capacity into
activity costs as well and at the same time it offers a chance to calculate activity key cost rates
which changes on occasion. For all the activities occurring within the enterprise, time driven
cost rates are calculated. The cost of cost objects such as customer or product is practiced
according to cost equations generated as a result of designing work process and operational
activity (Yilmaz and Baral: 2007).
The most significant feature of TDABC is to transform cost drivers into time equations.
Therefore, even though the production circumstances experience a change, these equations
will be easily updated. Besides, with TDABC method the costs of a great number of subactivities will be determined and these operations will also be less costly (Wegmann, 2007;
Silver, 2007). The only feature differentiates TDABC method from ABC method is the usage
of “time” driver as a costing driver. Therefore, it is obvious that the only difference between
two methods is operational while the basis is the same for both (Gremco and Gremco, 2007).
From this point of view TDABC method, compared to ABC method, seems as a beneficial
method for big and small businesses in terms of offering faster and simpler set-up, being easyto-update, and indicating the unutilized capacity, at the same time it is a more accurate
method which indicates the amount of unutilized capacity, provides data on the feasibility of

�International Conference on Economic and Social Studies (ICESoS` 13)
"Economic Crises and European Union"
the personnel and activities and in this regard allows administrators to make resource planning
(Carıkcıoglu and Polat, 2007).
Consequently, TDABC is based on time, notices the calculation of per minute cost. Since it is
simpler, less costly, and easy-to-implement, it eliminates the most of the shortcomings of
traditional ABC method. By focusing on the actual capacity of the unit, it emphasizes what
activities and products the capacity are related to and the cost of forming a unit with the
related capacity (Yilmaz and Baral, 2007).
Within this regard, it can be pointed out that TDABC includes these steps (Bruggeman, et al.,
2005; Everaert and Bruggeman, 2007; Carıkcıoglu and Polat, 2007):
1) To determine of cost pools where activities happen.
2) To determine the cost of each resource pool.
3) To predict the practical capacity of each resource pool.
4) To calculate the unit cost of each resource pool through dividing the total cost of
resource pool by practical capacity.
5) To determine the necessary duration for the each subdivision of the activities
depend on time drivers.
6) To determine the cost of cost objects through multiplying unit cost by the
necessary duration for the activity.
What TDABC method presents as an innovation is to predict time drivers, which is a
prerequisite for the fulfillment of the activity, separately for each subdivision (for each
featured condition) of the activities which have separate features, which is called time drivers
(Carıkcıoglu and Polat, 2007).
Within this regard, depending on the method’s structure mentioned above it seems that two
parameters are required for the operability of the duration (Kaplan and Anderson, 2003; Polat,
2011; Yilmaz and Baral, 2007);


The unit cost of the procured capacity



The capacity consumed by the activities carried out for cost objects

TDABC method, as ABC method does, launches with predicting the cost of the procured
resource (Kaplan and Anderson, 2003). The cost of these resources is the cost of the stable
factors of production. TDABC uses time equations and resource costing for activities is
automatically appointed in this method (Kaplan and Anderson, 2007).
An example of time equations as follows (Bruggeman, et al., 2005; Everaert and Bruggeman,
2007): Should order processing depend on three time drivers, customer type (new/old), the
number of input data (the number of demand entries), order type (standard/urgent).
Considering, basic order data entry takes 5 minutes, each entry requires 3 minutes and new
customer data takes 20 minutes and in case of an urgent order it takes an additional 7 minutes:
Order processing duration per data= 5+3*X1+20*X2+7*X3
X1; order processing (demand entry) number,
X2; value: in case of a new customer (1), old customer (0),
X3; value: urgent order (1), standard (0),
Thus, for a new customer, in case of 5 urgent orders, it will take (tjk)=
5+3*5+20*1+7*1= 47 minutes to process the order data.

�International Conference on Economic and Social Studies (ICESoS` 13)
"Economic Crises and European Union"
Implementation of Time Driven ABC and ABC in Private Schools
This study aims to achieve an exemplification on “Enrollment Activity”, which is the first
activity of a private school. The data on the private school has been derived from the data
indicated in a study by Yilmaz (Yilmaz, 2010).
Table 1 shows the activity centers and activities belonging to the private school. Since the
study takes “Enrollment Activity” as reference point, the table shows only the activities
within this pool. Table 2 shows the cost drivers.
Table 1:Activity Pools and Activities

ACTIVITY CENTERS
Activity–1 Enrollment

Activity –2 Teachers Training
Activity –3 Students Orientation
Activity -4 Educationlal Activities
Activity –5 Summer School
Activity –6 Students’ Clubs
Activity –7 Parent-Teacher Meetings
Activity –8 Certificate Programs for
Students
Activity –9 Students Parents Counsels
Activity –10 Administration, Accounting,
Information, Cleaning, Transportation and
Security Services
Activity -11 Maintenance
Activity -12 Graduation

ACTIVITIES
 Parents and students visiting Enrollment Office
 The new students to enroll at school meeting
vice principals of 9th, 10th, and 11th grades
 The placement exam
 Assessment and evaluation of placement exams
by data processing department
 The Negotiation of enrollment conditions
between vice principals and the students
 The initiation of accounting record regarding the
students of who has got the access for enrollment
who wish to enroll
 School enrollment in Students’ Bureau after
completing the accounting record process
 Re-registration of 9th grade and 10th grade
students in accounting

�International Conference on Economic and Social Studies (ICESoS` 13)
"Economic Crises and European Union"
Table 2: Cost Drivers
Activity Centers

Cost Drivers

Activity–1 Enrollment

The number of newly registered students

Activity –2 Teachers Training

The number of teachers

Activity –3 Students Orientation

The number of 9th graders

Activity -4 Educationlal Activities

The number of students in total

Activity –5 Summer School

The number of summer school attendees

Activity –6 Students’ Clubs

The number of Students’ club participants

Activity –7 Parent-Teacher Meetings

The number of Parent-Teacher meetings

Activity –8 Certification Programs for
Students
Activity –9 Students Parents Counsels

The number of certification program attendees

Activity –10 Administration, Accounting,
Information, Cleaning, Transportation and
Security Services
Activity -11 Maintenance

The number of students in total

Activity -12 Graduation

The number of graduates

The number of counseling activities for each grade

The number of students in total

Table 3 shows the data regarding enrollment activity. These data are the ones to be used in
ABC and TDABC implementations.
Table 3: Data Regarding Enrollment Activity

ACTIVITIES

Activity 1Enrollment

Number of
Staff

1 Enrollment
Officer
(financial
officer )
1 Bureau
Officer
3 Vice Principal
1 Typesetting
Officer

Time
Spent
Working
in
Activities
4 month

Number of
Individuals
provided
with
services
414

Costing Factors
9th
10th
11th
Grade Grade Grade

4 month

414

126

180

108

4 month
4 month

1150
1150

700
700

300
300

150
150

180
108
Newly Enrolled
126
43
11

Subsidiary datum regarding enrollment process: 414 students have enrolled in the education
season. Among those, 180 students are newly-enrolled students, 126 for 9th Grade, 43 for 10th
Grade, 11 for 11th Grade. Re-registration just requires accounting record. A staff member of
accounting department (financial office) is responsible for the enrollment during the set time
period. The Bureau officer is responsible for the final registration. The typesetter officer is
responsible for the optical mark reading of placement exams. Enrollment procedures last four
months (May, June, July, August).

�International Conference on Economic and Social Studies (ICESoS` 13)
"Economic Crises and European Union"
Yilmaz, in his study depend on ABC method, calculates the total expense of the enrollment
activity as 54.868 TL. The product group share of the expense as follows (Yilmaz, 2010).
The calculation of loading rates and the share of departments (9th, 10th, 11th Grades) as follow:
Enrollment (Activity 1): the number of newly-enrolled students in a year is 180. There are
126 students to enroll at 9th Grade, 43 students to enroll at 10th Grade, and 11 students to
enroll at 11th Grade.
Loading rate: 54.868 TL/180 newly-enrolled student number(II. Distribution loading key)=
304,82 TL/ 1 newly-enrolled student
9th Grade 126 x 304,82= 38.408 TL
10th Grade 43 x 304,82= 13.107 TL
11th Grade 11 x 304,82= 3.353 TL
Table 4: Allocating Costs using ABC
Activity Centers

Load Rates

Activity–1
304,82 TL/ newly
Enrollment
enrolled students
Activity –2 Teachers
2.969,6 TL/teacher
Training
Activity –3 Students
283,48 TL/9th
Orientation
grader
Activity -4
2.393,37
Educationlal
TL/student
Activities–5 Summer
Activity
401,1 TL/summer
School
school attendee
Activity –6 Students’ 650,8 TL/students’
Clubs
club attendee
Activity –7 Parent3.544,14
Teacher Meetings
TL/parent-teacher
meetingTL/
Activity –8
66,395
Certificate Programs
certification
for
Students
program
Activity
–9 Students
8.357,5 attendee
Parents Counsels
TL/counseling
activities
Activity –10
695,2
TL/student
Administration,
Accounting,
Information,
Activity
142,7 TL/student
Cleaning,-11
Maintenance
Transportation and
Security -12
Services
Activity
482,73 TL/student
Graduation
GRADE COSTS IN TOTAL
STUDENTS COST PER UNIT (Total
Cost/The number of graders)

9th Costs
Allocation
Key
Criteria x
Load Rate
126 x
304,82
11,59 x
2.969,6
126 x
283,48
126 x
2.393,37
-

Activity
Costs

38.408
TL
34.418
TL
35.718
TL
301.564
TL
-

72 x
650,8
4x
3.544,14
126 x
66,395
4x
8.357,5
126 x
695,2

46.859
TL
14.177
TL
8.366
TL
33.430
TL
87.595
TL

126 x
142,7
-

17.978
TL
-

10th Grade Costs
Allocation Activity
Key
Costs
Criteria x
Load Rate
43 x
13.107
304,82
TL
16,53 x
49.088
2.969,6
TL
-

11th Grade Costs
Allocation Activity
Key
Costs
Criteria x
Load Rate
11 x
3.353
304,82
TL
9,88 x
29.340
2.969,6
TL
-

180 x
2.393,37
180 x
401,1
178x
650,8
6x
3.544,14
-

430.806
TL
72.197
TL
115.842
TL
21.264
TL
-

108 x
2.393,37
108 x
401,1
-

258.484
TL
43.317
TL
-

4x
3.544,14
-

14.177
TL
-

6x
8.357,5
180 x
695,2

50.145
TL
125.136
TL

4x
8.357,5
108 x
695,2

33.430
TL
75.081
TL

180 x
142,7
-

25.686
TL
-

15.411
TL
52.135
TL

618.513 TL

903.271TL

108 x
142,7
108 x
482,73
524.728 TL

618.513 TL / 126=
4.908 TL

903.271TL / 180=
5.018TL

524.728 TL /108=
4.858 TL

�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

Table 5: Comparison of ABC and Traditional Costing
Activity Centers
9th Grade

10th Grade

11th Grade

Conventional Costing Method

4.943 TL/student

4.943 TL/
student

4.943 TL/
student

Activity Based Costing Method

4.908 TL/ student

5.018 TL/
student

4.858 TL/
student

The Difference between Two Costing
Systems

35 TL/ student

(75 TL/ student)

85 TL/ student

Calculating Costs Appointed onto Product Groups through TDABC
The costs of each resource group have been calculated with the first Distribution. While
the capacity belonging to each resource group has been determined, laboring hours have
been taken into consideration. The practical capacity of the workers who work in activity
venues has been calculated (assuming daily labor lasts 6.5 hours). Then, by the division of
total costs by practical capacity, the cost rates of capacity have been indicated. Table 6
shows the cost rates of each resource group.

Table 6: Calculation of the Cost Rate of Capacity for Each Resource Group
Activity Centers

Activity–1 Enrollment
Activity –2 Teachers
Training
………

Calculation of Resource Group Capacity Cost Rates
The Practical Capacity
of the Workers who
work in activity venues
(hour)
3.120

Total Expense
(TL)

Capacity Cost
Rates= Total
Expense/Hour

54.868

17,59

…….

…….

…….

…….

…….

…….

To be able to make time equations in enrollment section, processes of the activity,
activities of the processes, time drivers need to be determined; and to be able to achieve the
amount of time drivers and activities, the necessary duration needs to be determined. Table
7 shows datum required by Enrollment section.

8

�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

Table 7: Enrollment Processes, Time Drivers, Driver Amounts and Time Durations
Processes

Activities Of The
Processes

Parent–Vice
Principal Meeting
- Introduction of the
school and pre-interview
for the placement exam

Parent-Vice
Principal Meeting
Regarding the
Result of the
Placement Exam

1.

ENROLLMENT

Placement Exam

Initiation of
Account Record
for the Student

Time
Drivers

Time Driver
Amounts

The number
of parents
who
interview
for
enrollment

1.150
parent/student
(234 the number
of re-registered
students)

-Placement exam taken

Time Durations

-40 minutes

-60 minutes

-The evaluation of the
exam
-Determining discount
rate depending on the
result of the exam

-10 minutes
The number
of students
who take
the exam

-The student to enroll
visiting Accounting
Office

The number
of student /
parent who
enrolled

-Parents dealing with
legal documents

-5 minutes

-15 minutes

414
parent/student
(180 the number
of first registry)

-35 minutes

Enrollment process consists of steps of parent-vice principal meeting, students taking the
placement exam, parent-vice principal meeting regarding the exam result and the initiation
of the accounting record of the student.
The process of parent–vice principal meeting consists of pre-interview for the placement
exam and introduction of the school, which takes 40 minutes. However, in case the student
is a re-registering one, the duration is shorter and takes only 10 minutes.
Time equation for parent- vice principal meeting= 40*X1+10*X2
X1: the number of parents who interview for the first enrollment
X2: the number of parents who interview for re-registration
The process of taking the placement exam consists of testing and the assessment and all the
students already enrolled or to be enrolled take this exam. This process takes 70 minutes.
Time equation for the process of taking the placement exam= 70*X1
X1: the number of students who take the exam
The process of parent–vice principal meeting regarding the result of the exam consists of
determining the discount rate depending on the exam result and the initiation of account
record for the students who wish enrollment. This process takes 20 minutes.
Time equation for the process of parent – vice principal meeting regarding the result of the
exam= 20*X1
X1: the number of students who take the exam
The process of the initiation of account record consists of the activity of parent dealing
with legal documents. The process takes 35 minutes. However, for re-registration it takes
20 minutes.
9

�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

Time Equation for the process of the initiation of account record= 35*X1+20*X2
X1: the number of students who enroll
X2: the number of students who re-register
Table 8 shows time driver amounts demanded by each product group (9th, 10th, 11th grades)
in Enrollment section.
Table 8: Time Driver Amounts in Enrollment Section

TIME
DRIVER
S
PRODUCT GROUPS
9th Grade
th
th

The number
of parents
who
interview
for the first
enrollment
700

10 Grade
11 Grade
TOTAL

The
number of
students
who take
the exam

The number
of
parent/stude
nt who
enroll

700

126

The number
of
parent/stude
nt who
enrolled for
the first time
126

The
number of
parent/stud
ent who reregister

300

300

180

43

137

150

150

108

11

97

1.150

1.150

414

180

234

-

After necessary time drivers have been determined, the durations demanded by each
product can be calculated. Durations demanded by each product group as follows:
Table 9: Calculating Durations Demanded by Enrollment Section
Parent–Vice principal
meeting

Students taking the
placement exam

Parent–Vice
principal meeting
regarding exam
result

Initiation of Account
Record

(70*X1)

(20*X1)

(35*X1+20*X2)

40*700+10*0=28.000

70*700=49.000

20*700=14.000

35*126+20*0=4.410

95.410

40*163+10*137=7.890

70*300=21.000

20*300=6.000

35*43+20*137=4.245

43.135

40*53+10*97=3.090

70*150=10.500

20*150=3.000

35*11+20*97=2.325

18.915

(40*X1+10*X2)
9th
Grade
10th
Grade
11th
Grade

TOTAL
(minute)

Then, through multiplying the durations required by each product group by capacity cost
rate, the costs appointed on product groups by the enrollment office have been calculated.
Table 10 shows these costs appointed on product groups by the enrollment office.

10

�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

Table 10: Costs Appointed On Product Groups by the Enrollment Section

Products
th

9 Grade
th

10
Grade
11th
Grade
TOTAL

Duration Demand by
Enrollment office
(minute)

Duration Demand
by Enrollment
office (hour)

Capacity Cost
Rate per Hour

Costs Appointed
by Enrollment
Office

A

B=A/60

C

D= B*C

95.410

1.590,17

17,59

27.971,03

43.135

718,92

17,59

12.645,74

18.915

315,25

17,59

5.545,25

157.460

2.624,33

17,59

46.162,02

Table 11 compares the results of ABC and TDABC methods for enrollment activity in
private schools.
Table 11: Comparison of the Results of ABC and TDABC Methods
Products

9th Grade
th

10 Grade
th

Costs appointed by
Enrollment Office
through ABC method
(TL)
38.408

Costs appointed by
Enrollment Office through
TDABC method (TL)

13.107

Difference between ABC
and TDABC methods (TL)

27.971

10.437

12.646

461

11 Grade

3.353

5.545

-2.192

TOTAL

54.868

46.162

8.706

According to TDABC method, the cost load is lower than ABC method for 9th Grade
product group, with a difference of 10.437 TL, for the 10th Grade product group, the cost
load is lower in TDABC method than in ABC method with a difference of 461 TL, for the
11th Grade product group, cost load is higher in TDABC method than in ABC with a
difference of 2.192 TL. In total, it seems that TDABC offers less cost load than ABC with
a difference of 8.706 TL. This difference shows unutilized capacity for the enrollment
activity.
Conclusion
TDABC method is a modern costing technique developed to eliminate the shortcomings of
ABC method. TDABC method aim to assist administrators to determine the costs of
product groups faster and more accurately. Thus, it will contribute competition through
faster and more accurate decisions. This study points out the existing difference between
ABC method ad TDABC regarding cost load on products, which can be both positive and
negative. The difference is caused by the fact that TDABC uses “time” driver which allows
a more detailed computation and it notices cost per minute. For being simpler, less costly,
and easy-to-implement, TDABC eliminates the disadvantages of ABC method. It focuses
on the actual capacity of the sections. Compared to ABC method, TDABC seems to be a
more accurate method for allowing fast and simple set-up, being easy to update, and
indicating unutilized capacity and therefore, for being a method allowing administrators to
make resource planning by providing data on the personnel and activity efficiency.
11

�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

Consequently, it seems rather possible to say that the use of TDABC method which makes
it possible to reach more accurate data in a faster way will be utmost beneficial for the
enterprises.

References
Beheshti, H. M. (2004). Gaining and Sustaining Competitive Advantage With Activity
Based Cost Management System. Industrial Management and Data Systems
Journal, 104-5, 377-383.
Bruggeman, W., Everaert, P., Anderson, S. R., &amp; Levant Y. (2005). Modeling Logistic
Costs using TDABC: A Case in a Distribution Company.Working Paper,
September, 1-17.
Carikcioglu, P., &amp; Polat, L. (2007).Time Drive Activity Based Costing (TDABC) and an
SME Case Study.4th SMEs and Efficiency Congress, GCP, Istanbul, 517-532.
Cooper, R.,&amp;Kaplan, R. S. (1988). Measure Costs Right: Make the Right
Decisions.Harvard Business Review, September/October, 96-103.
Eker, M. C. (2002).Activity Based Costing Method of Overhead Costs in accounting of
Distribution and Use of No. 8 Group Master Account.Uludag University, Faculty of
Economics, 21- 1, 237-256.
Everaert, P.,&amp; Bruggeman, W. (2007). Time-Driven Activity-Based Costing: Exploring
The Underlying Model.Journal of Cost Management, March-April, 21- 2, 16-20.
Garrison, R.H., &amp; Noreen, E. W. (2000). Managerial Accounting.Ninth Edition, McGrawHill, USA.
Gering, M. (1999). Activity based costing focusing on what counts.Management
Accounting, February, 77-2, 20-21.
Gupta, M.,&amp; Galloway,K. (2003). Activity based costing/management and its implications
for operations management.Technovation, 23, 131-138.
Gremco, O.D. L. V., &amp;Gremco, Y. L. (2007). Time-Driven ABC: The Simplification Of
The Assessment Of Costs Through Resorting To Equivalents.30th Annual
Congress of the Eropean Accounting Association, Lisbon.
Gökcen, G. (2004). Business Decisions Using Activity-Based Costing. Journal of
Accounting and Finance, July, 23, 58-67.
Hacirüstemoglu, R., &amp; Sakrak, M.(2002). Latest Approaches to Cost Accounting.Türkmen
Publishing, Istanbul.
Innes, J., &amp; Mitchell, F.(1990). Activity Based Costing: A Review with Case Studies.
Chartered Institute of Management Accountants, London.
Kaplan, R. S., &amp; Atkinson, A. (1998). Advanced Management Accounting. Prentice Hall
International.
Kaplan, R.S., &amp; Anderson, S. R. (2003). Time-Driven Activity Based Costing. White
Paper, HBS Working Paper Number: 04-045, November, 1-18.
Kaplan, R.S., &amp; Anderson, S. R. (2007). Time-Driven Activity-Based Costing: A Simpler
and More Powerful Path to Higher Profits.Harvard Business Press Books.

12

�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

Kosan, L. (2007).A New Approach to Cost Calculation: Driven Activity-Based Costing
System.Mali Cözüm, 84, 155-168.
Oker, F.(2003). Activity-Based Costing, Production and Service Business Practices.
Literature Publications, November, Istanbul.
Oker, F., &amp; Adigüzel, H. (2010). Time-Driven Activity-Based Costing: An Implementation
in a Manufacturing Company.The Journal of Corporate Accounting &amp; Finance /
November/December,75-91.
Ozer, A. (2004). Impact of Activity-Based Costing Related to Marketing Decisions.
Journal of Accounting and Auditing Overview, September, 13,123-138.
Polat, L. (2011). Time Drive Activity-Based CostingImplementation of an Industrial
Company. Journal of Accounting and Finance, January, 49,126-137.
Rayburn, L.G.(1996). Cost Accounting: Using a Cost Management Approach.McGraw
Hill.
Silver, B. (2007). Deeper Into Simulation, Part III: Activity Based Costing.
http://www.brsilver.com. (22.02.2013).http://www.brsilver.com/2007/01/05/deeperinto-simulation-part-3-activity-based-costing/
Weetman, P. (2003).Management Accounting: An Introduction.Financial Times Prentice
Hall.
Wegmann, G. (2007). Developments Around the Activity-Based Costing Method: A Stateof-the Art Literature Review. 1-13. http://ssrn.com. (13.01.2013).
http://ssrn.com/abstract=1012664.
Yilmaz, R., &amp;Baral, G. (2007). Corporate Performance Management Driven ActivityBased Costing. International Congress of Social Sciences of the Turkish World,
Proceedings Code 537121, Jalal-Abad, Kyrgyzstan.
Yilmaz, M., &amp; Coskun A. (2012). A Modern Method For Calculating Unit Cost Per
Student At Secondary Schools. Dumlupınar University Journal of Social Sciences,
33, 277-290
Yilmaz, S. (2010).Activity-Based Costing Method And Implementation of Private
Education institution.Unpublished Master's Thesis.
Yükcü, S. (2000). JIT Effect of Cost Accounting PracticesJIT Manufacturing
System.Accounting and Audit Review, 1,18-30.

13

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COSKUN, Ali
YILMAZ, Senay</text>
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                <text>Due to the recent increase in demand for private schools, these schools  have experienced a growth in number and in significance. Therefore, it has  been crucial for the executives of private schools to be able to gain  competitive advantage and to make strategically decisions. This increase of  demand for private schools has also increased the competition in the area.  Due to this increasing competition in private schooling, it has been more  significant to correctly calculate the costs. This study points out the  applicability of activity based costing and time based activity based costing  methods of modern costing methods and the differences between them so  that the executives of private schools could make strategic decisions. Even  though both activities based costing and time driven activity based costing  methods can be applied in private schools, it seems more advantageous to  apply time driven activity based costing since it allows a faster way to  access the information and it is easier to update, which provides a better  chance for long-lasting usage.  Keywords: Activity Based Costing Method; Time Driven Activity Based  Costing Method; Private Education; Costing; Education Institution.</text>
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                    <text>International Conference on Economic and Social Studies, 10-11 May, 2013, Sarajevo

Research for Mathematics Anxiety of Students Attending
Social Programs in Community Colleges: Yalova
Community College Sample
Salih Yıldız
Yalova University, Yalova Community College
slhyldz1@gmail.com
The oldest description of mathematics anxiety is expressed as “the
formation of emotional response syndrome against arithmetic and
mathematics” by Dreger &amp; Aiken in 1957 (Baloğlu, 2010:508).
There exist many studies in literature to determine the mentioned anxiety.
“Most of the problems to see mathematics anxiety put forth the fact that
there exists no consensus for mathematics anxiety therefore various
measurement techniques were developed. The first mathematics anxiety
rating scale is created by Dreger &amp; Aiken (1957) (Kazelskis, 1998:623).
The study is prepared to clarify the reasons for mathematics anxiety of the
students taken basic mathematics courses in Yalova Community College.
Therefore surveys as anxiety rating scale (consisted of 10 items and
created by Recep Bindak in 2005) are applied to 200 students and 175 of
them are taken into account. SPSS 16 program is used to analyze the
research data.
Keywords: Education of mathematics, Anxiety, Mathematics anxiety,
Yalova

248

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                    <text>International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

Research for Mathematics Anxiety of Students Attending Social Programs in
Community Colleges: Yalova Community College Sample
SalihYildiz
Yalova University, Yalova, Turkey
slhyldz1@gmail.com

Abstract
The oldest description of mathematics anxiety is expressed as “the formation of
emotional response syndrome against arithmetic and mathematics” by Dreger&amp;
Aiken in 1957 (Baloğlu, 2010:508).
There exist many studies in literature to determine the mentioned anxiety. “Most of
the problems to see mathematics anxiety put forth the fact that there exists no
consensus for mathematics anxiety therefore various measurement techniques were
developed. The first mathematics anxiety rating scale is created by Dreger&amp; Aiken
(1957) (Kazelskis, 1998:623).
The study is prepared to clarify the reasons for mathematics anxiety of the students
taken basic mathematics courses in Yalova Community College. Therefore surveys
as anxiety rating scale (consisted of 10 items and created by RecepBindak in 2005)
are applied to 400 students and 175 of them are taken into account. SPSS 16
program is used to analyze the research data.
Keywords: Education of mathematics, Anxiety, Mathematics anxiety, Yalova

Introduction
Anxiety is defined in broadest sense as an emotional situation which experiencing a sense
of perceived weakness during the preparation of a perceived risk. Anxiety have three
different varieties arising from personality, status, and event. Anxiety, caused by
personality , in some individuals encountered in a continuous situation is a part of the
human personality. Anxiety, caused by situation is defined as faced reaction to a
significantly situation in a specific time. Finally, anxiety, caused by event experienced face
of significant events (Ellis, 1994). Mathematics anxiety is defined by Miller and Mitchell
(1994) as ; when students think about mathematics , illogical state of fear which causes to
stay in concern, reduces the performance and hence preventing their learning. Hembree
(1990) also stated that mathematics anxiety causes to creation of anxiety towards to
mathematics such as decrease in mathematics achievement and avoidance of mathematics.
For these reasons, mathematics anxiety is a serious problem, composed students mostly at
the beginning of learning and solution is not easy(Hannula, 2005). Students who are under
the influence of such a concern cannot acquire the desired level of knowledge of
mathematics and they may choose the way of memorization without understanding,
assimilating and conception of acquired mathematical information(Işık, Çiltaş and
Bekdemir, 2008). About the reasons of mathematics anxiety, many studies have been
proposed as possible causes (Lazarus, 1974), and emphasized on there may be a general
concept that mathematics anxiety caused by interaction of mentioned many factors. We
can state that a few of these factors are; factors sourced the field of mathematics,

1

�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

educational factors, factors related to the attitudes of parents, personal values and
expectations of the overall success. The relationship between mathematics anxiety and
mathematics achievement is one of the areas that most interest for mathematics anxiety
researchers (Zakaria and Nordin, 2008). However, there are differences in opinion about
the effects of mathematics anxiety on mathematics achievement. Some studies could not
find a remarkable link between mathematics anxiety and mathematics achievement (Boodt,
1980; Llabre and Suarez, 1985, etc.)... In a lot of studies serious findings were observed
that mathematics anxiety have negative effect on the success of mathematics. (Dreger and
Aiken, 1957; Richardson and Suini, 1972; Tobias and Weisbrod, 1980, etc.)...
The Purpose of the Study
The purpose of the study is revealıng how the perceive the cognitive level of accounting
through metaphors among graduate and undergraduate students.
The purpose of the study is revealing mathematics anxiety at students who is studying at
undergraduate program in Yalova \ Yalova University Vocational School and had
mathematics lesson.
The Methodology of the Study
A 10-point anxiety scale questionnaire which developed by RecepBindak (2005) was
implemented on participants and this questionnaire was evaluated. The data source has
been generated from data which have been collected from students. SPSS 16 program was
used for analysis of the data.
Analysis of the Data
Frequency and percentage of the data obtained from the results of used
distributed.

scale were

After calculating
score which obtained from 5-point Likert-type scale towards
mathematics anxiety , these points , were subjected to relational statistics with variables.(
gender graduated high school, transition state of university, going or not going to extra
courses in preparation term of university entrance exams, department and class of
university, learning methods, staying where during the academic year, like or dislike the
teaching style of mathematics teacher, an effect on the success of the class course).
In relational analyzes t-test and ANOVA test were used. Differences are expressed at the
level of 0.05 in meaning.
Findings and Conclusion
In this section anxiety of vocational school students' to mathematics is analyzed according
to various demographic information.

2

�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

Table 1: Differences in anxiety of mathematic according to gender of vocational school students
Question 3: I’am always
askedtomeworried.
Gender
N
X

concerned

in

Mathematics lessons

a

questionbeing

Ss

t

Sd

p

2,380

398

,018

Female

229

2,52

1,283

Male

171

2,84

1,374

Question 5: I'm not afraidof anything else as well as Mathematics exams.
Gender

N

X

Ss

t

Sd

p

Female

229

2,76

1,401

2,767

398

,006

Male

171

3,16

1,453

As shown in in Table 1, “I’m always concerned in Mathematics lessons a question being
asked to me” and “I'm not afraid of anything else as well as Mathematics exams.” t-Test of
these statements according to gender, P &lt;0.05 significant difference was observed.
According to these expressions female students more concerned than male students.
In the analysis based on the transition of university status, there was not found any
significant difference in any expression.
Table 2: Differences in mathematics anxiety for vocational school students according to the state of
going to extra course
Question 8: I could not know how to study to mathematics exam.
Gender

N

X

Ss

t

Sd

p

Male

162

3,20

1,361

3,246

396

,001

Female

236

2,76

1,332

As shown in in Table 2, the statement of “: I could not know how to study to mathematics
exam.” Observed that according to t-test results which based on students went to extra
courses or not, there is a p&lt;0,05 level of significant difference.
In this expression, anxiety of students who did not go to extra courses was significantly
higher than students who went to extra courses.
In analysis which made according to classrooms (1. Class, 2. Class), there was not found
any significant difference in any statement.
In analysis which made according to education type of students (regular education,
secondary education) there was not found any significant difference in any statement.
In analysis which made according to graduated high school type there was not found any
significant difference in any statement.

3

�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

Table 3: The analysis of “I am scared that I cannot pass my class because of mathematics
“statement according to department of education
f , X , Ss Values
Point Groups

S 6 Office
Services and
Secretary
Dept.
Acc. And Tax
Dept.
Hotel,
Restaurante
and Catering
Services Dept.
Mark.
and
Foriegn Trade
Dept.
Transportation
Servisec Dept.
.
Total

ANOVA Results
N

X

Ss

91

2,66

1,558

88

3,45

1,405

97

3,00

1,392

61

2,80

1,547

63

2,56

1,468

400

2,92

1,497

Source
of
Varience
Between
Groups

Sum of
Squares

Sd

41,145

4

Avarage
of
Squares
10,286

In
Group
Total

853,453

395

2,161

894,598

399

F

p

4,761

,001

Students of Office Services and Secretary Department, Accounting and Tax Department
and transport services department have expressed significant views different from each
other.
Students of the Accounting and Tax Department have expressed their feeling of “I am
scared that I cannot pass my class because of mathematics “less than Office Services and
Secretary Department and Transportation Services Department students’.
Table 4: Analysis of statement “When I enter to mathematics, I feel puckered “according to
education department
f , X , Ss Values

ANOVA Results

Points

Groups

N

X

Ss

Source of
Varience

Sum of
Squares

Sd

S7

Office
Services and
Secretary
Dept.
Acc. And Tax
Dept.
Hotel,
Restaurante
and Catering
Services Dept.
Mark. and
Foriegn Trade
Dept.
Transportation
Servisec Dept.
.
Total

91

3,18

1,546

Between
Groups

25,888

4

Avarage
of
Squares
6,471

88

3,81

1,321

In Group

809,994

395

2,051

97

3,37

1,333

Total

835,877

399

61

3,21

1,416

63

3,11

1,567

400

3,36

1,447

4

F

p

3,156

,014

�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

Students of Office Services and Secretary Department, Accounting and Tax Department
and transport services department have expressed different views from each other
significantly.
Students of the Accounting and Tax Department have expressed their feeling of “When I
enter to mathematics, I feel puckered “less than Office Services and Secretary Department
and Transportation Services Department students’.
In analysis based on education department, students of Accounting and Tax Department
and Transportation Services Department have expressed different views from each other
significantly.
Students of the Transportation Services Department have expressed their feeling of “I
could not know how to study to mathematics exam. “more than Accounting and Tax
Department students’
In analysis based on education department, students of Office Services and Secretary
Department, Accounting and Tax Department have expressed different views from each
other significantly.
Students of the Accounting and Tax Department have expressed their feeling of
“Mathematics is so funny for me " more than Office Services and Secretary Department
students’
In the analysis based on location where students stay in , there was not found any
significant difference between location and mathematics anxiety.
Do you like teaching style of mathematics teacher?" Question of the survey were analyzed
according to the following conclusions;
Students who strongly dislike (X=1,81) teaching style of mathematics teacher are
expressed their feeling of “ Mathematics minds me complex, incomprehensible things. “
significantly more than strongly like (X=2,82) and like (X=2,55) students’.
Again, who neutral like (X=2,27) and dislike (X=2,04 are expressed that statement
significantly more than strongly like students’.
There is a significant difference between groups of students who strongly like (X=2,89
teaching style of mathematics teacher and students neutral like (2,00) and students strongly
dislike (X=2,00) about statement of “ It is hard for me to come to the blackboard in
mathematics lessons”.
The group of students which strongly like have expressed that it is less hard for them to
come to the blackboard.
There is a significant difference between groups of students
who strongly dislike
(X=2,14) teaching style of mathematics teacher and students dislike (X=1,96)) and
students strongly like (X=3,04) about statement of “ I am always concerned in
Mathematics lessons a question being asked to me “

5

�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

The group of students which strongly dislike and dislike have expressed that they have
more anxiety than strongly like students.
There was not found a significant difference between groups of students who strongly
dislike (X=2,14) teaching style of mathematics teacher and students dislike (X=2,37)) and
students neutral like (X=2,58) and students like (X=3,01) about statement of “I'm not
afraid of anything else as well as Mathematics exams.”
The students who strongly like have expressed that they are less afraid from mathematics
exam than other student groups.
There is a significant difference between groups of students who strongly like (X=3,54)
teaching style of mathematics teacher and students like (X=2,10) and students neutral like
(X=2,56) and students dislike ( X=1,81) and students strongly dislike ( X=2,10) about
statement of “ I am scared that I can cot pass my class because of mathematics “.The
students who strongly like and like have expressed that they are less afraid than other
student groups.
There is a significant difference between groups of students who strongly like (X=3,93)
teaching style of mathematics teacher and students neutral like (X=2,99) and students
dislike ( X=2,67) and students strongly dislike ( X=2,76) about statement of “When I enter
to mathematics, I feel puckered “.The students who strongly like have expressed that they
feel less puckered than other student groups.
There is a significant difference between groups of students who strongly like (X=3,45)
teaching style of mathematics teacher and students neutral like (X=2,59) and students
dislike ( X=2,56) and students strongly dislike ( X=2,43) about statement of “I could not
know how to study to mathematics exam.”
The students who strongly like have expressed that they are less worried about how to
study to mathematics exam than other student groups.
There is a significant difference between groups of students who strongly like (X=2,62)
teaching style of mathematics teacher and other students about statement of
“Mathematics is so funny for me “. Again there is a significant difference between group
of students who like (X=3,25) teaching style of mathematics teacher and other student
groups. There is not a significant difference between groups of students who neutral like
(X=3,73) and dislike ( X=4,00) and strongly not dislike ( X=4,14). The group of students
who strongly like feels that the most funny. The student group of like feels less funny than
students who strongly like, but the student group of likes feels funnier than other three
groups.
There is a significant difference between groups of students who strongly like (X=3,79)
teaching style of mathematics teacher and students neutral like (X=3,14) and students
dislike ( X=2,76) and students strongly dislike ( X=2,67) about statement of “I am afraid
to ask any question in mathematics lesson”.
The students who strongly like are expressed that they are less afraid to ask any question
than other three groups.

6

�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

The following conclusions were reached by the survey when this question is analyzed
“What is your opinion about Mathematics lesson contents?”
There was not found a significant difference between groups of students who think
mathematics lesson is very easy (X=3,62) and who thinks easy (X=3,30) about statement
of “Mathematics minds me complex, incomprehensible things. “. The students who
think mathematics lesson is very easy are expressed the statement of “Mathematics minds
me complex, incomprehensible things. “Less than other groups.
The students who think neutral easy( X=2,56) are expressed significantly more than
students who think very easy and easy. Also significantly less than students who think very
difficult and difficult?
Again, the students who think very difficult (X=1,53) have perceived that mathematics as
more complex than students who think difficult (X=2,05) .
There was not found a significant difference between groups of students who think
mathematics lesson is very easy (X=3,38) and who thinks easy (X=3,32). There is a
significant difference between groups of students who think mathematics lesson is neutral
easy (X=2,57, difficult (X=2,09) and very difficult (X=1,42) about statement of “ It is
hard for me to come to the blackboard in mathematics lessons”. The students who think
mathematics is very difficult are significantly expressed that more than other groups. The
students who think mathematics is difficult are less expressed that statement than students
who think difficult but more expressed than other groups.
The students who think neutral easy are less expressed than students who think difficult
and very difficult but more expressed than students who think easy and very easy.
There was not found a significant difference between groups of students who think
mathematics is very easy (X=4,25) and easy (X=3,68) about statement of “I am always
concerned in Mathematics lessons a question being asked to me”
There is a significant difference between groups of students who think mathematics
lesson is neutral easy (X=2,66), difficult (X=2,32) and very difficult (X=1,66). There was
not found significant difference between groups of students who think mathematics
lesson is neutral easy and difficult.
There is a significant difference between groups of students who think mathematics
lesson is neutral easy and very difficult. The students who think very easy and easy they
are the group which have less concerned.
The group of students who think neutral easy is less concerned than student group who
think very difficult but less concerned than student group who think easy and very easy.
There was not found a significant difference between groups of students who think
mathematics is very easy (X=4,00) and easy (X=3,40) about statement of “Now i can
understand but i am worried it will be more difficult” There is a significant difference
between groups of students who think mathematics lesson is neutral easy (X=2,53) and
difficult (X=2,56) and very difficult(X=2,38).

7

�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

Although they understand from mathematics lessons, the students who think mathematics
is very difficult, difficult and neutral easy are more worried that it will be more difficult
than the students who think mathematics is easy and very easy.
There was not found a significant difference between groups of students who think
mathematics is very easy (X=4,69) and easy (X=3,40) about statement of “I'm not afraid
of anything else as well as Mathematics exams.” There was not found a significant
difference between groups of students who think mathematics lesson is neutral easy
(X=2,53) and difficult (X=2,38) . But there is a significant difference between students
who think mathematics is very easy , very difficult and students who think mathematics is
neutral easy, very difficult and difficult. The students who think mathematics is very
difficult are most afraid from mathematics lesson.
There was not found a significant difference between groups of students who think
mathematics is very easy (X=4,69) and easy (X=3,40) about statement of “I cannot pass
my class because of mathematics”. There is a significant difference between other groups.
The students who think mathematics is very difficult (X= 1,67) they expressed they cannot
pass class because of mathematics. more than the students who think mathematic is
difficult (X=2,46).The students who think mathematics is neutral easy ,they expressed they
cannot pass class because of mathematics. more than the students who think mathematic is
very
easy.
There was not found a significant difference between groups of students who think
mathematics is very easy (X=4,69) and easy (X=4,54 about statement of “When I enter to
mathematics, I feel puckered ”. There is a significant difference between other groups. The
students who think mathematics is very difficult ( X=2,11) expressed that statement more
than students who think mathematic is neutral easy. The students who think mathematics is
neutral easy expressed that statement more than students who think mathematic is easy and
very
easy.
The students who think mathematics lesson is very difficult (X=1,78) ,they expressed
statement of “ I could not know how to study mathematics” significantly more than the
students who thinks mathematics is Difficult (X=2,44) and neutral easy (X=2,9). The
students who think mathematics lesson is neutral easy (X=2,97) ,they expressed statement
of “ I could not know how to study mathematics” significantly more than the students who
thinks mathematics is easy (X=4,10) and very easy (X=4,44) .
The students who think mathematics lesson is very easy (X=1,69) and easy(X=2,44)they
expressed statement of “ Mathematics is so funny for me” significantly more than the
students who thinks mathematics is neutral easy (X=3,15) . The students who think
mathematics lesson is neutral easy, they expressed statement of “Mathematics is so funny
for me” significantly more than the students who thinks mathematics is difficult (X=3,97)
and very difficult (X=4,40) .
The students who think mathematics lesson is very difficult (X=2,44) ,and difficult
(X=2,97)they expressed statement of “ I am afraid to ask any question in mathematics
lesson ” significantly more than the students who thinks mathematics is neutral easy
(X=3,45) . The students who think mathematics lesson is neutral easy (X=4,38) ,they
expressed statement of “ I am afraid to ask any question in mathematics lesson”
significantly more than the students who thinks mathematics is easy (X=3,90) and very
easy (X=4,38) .

8

�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

References
Baloğlu, M. (2010). An investigation of the validity and reliability of the adapted
mathematics Anxiety rating scale-short version (MARS-SV) among Turkish
students. European Journal of Psychological Education, 25, 507-518.
Bindak, R. (2005), “F. Ü. Fen veMühendislikBilimleriDergisi”, 17 (2), 442-448
Boodt, M. (1980). “The Nature of the Relationship Between Anxiety Toward Mathematics
and Achievement in Mathematics”, Dissertation Abstracts Int., 40: 5346A.
Dreger, R.M. ve Aiken, L.R. (1957). “the Identification of Number Anxiety in College
Population”, Journal of Educational Psychology, 48: 344-351.
Ellis, R. (1994). “The Study of Second Language Acquisition”, Oxford University Press,
1994.
Hannula, M. (2005). “Affect in mathematical thinking and learning. The Future of
Mathematics Education and Mathematics Learning”. BIFEB Strobl. Austria,
August.
Hembree, R. (1990). “The Nature, Effects and Relief of Mathematics Anxiety”, Journal of
Research in Mathematics Education, 21(1), 33-46.
Işık, Ahmet - Çiltaş, Alper – Bekdemir, Mehmet (2008). “Neccesity and Importance of
Mathematics Education” KazımKarabekir Education Faculty, (KKEF) Magazine
No:17, Year:2008.
Kazelskis, R. (1998). Some dimensions of mathematics anxiety: a factor analysis across
instruments. Educational and Psychological Measurement, 58, 623-633.
Lazarus, M. (1974). “Mathophobia: Some Personal Speculations”, National Elementary
Principal, 53: 16-22.
Llabre, M. ve Suarez, E. (1985). “Predicting Math Anxiety and Course Performance in
College Women and Men”, Journal of Counseling Psychology, 32:283-287.
Miller, L.D., Mitchell, C.E. (1994). “Mathematics Anxiety and Alternative Methods of
Evaluation”, Journal of Instructional Psychology. 21(4), 353-358.
Richardson, F.C. veSuinn, R.M. (1972). “The Mathematics Anxiety Rating Scale:
Psychometric Data”, Journal of Counseling Psychology, 19:551-554.
Tobias, S. ve Weisbrod, C. (1980). “Anxiety and Mathematics: An Update”, Harvard
Educational Review, 50(1): 63-69.
Zakaria, Efandi ve Nordin, Norazah Mohd (2008). “The Effects of Mathematics Anxiety
on Matriculation Students as Related to Motivation and Achievement”, Eurasia
Journal of Mathematics, Science &amp; Technology Education; Feb2008, Vol. 4 Issue
1, p27-30, 4p.

9

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                <text>Research for Mathematics Anxiety of Students Attending  Social Programs in Community Colleges: Yalova  Community College Sample</text>
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                <text>YILDIZ, Salih</text>
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                <text>The oldest description of mathematics anxiety is expressed as “the  formation of emotional response syndrome against arithmetic and  mathematics” by Dreger &amp; Aiken in 1957 (Baloğlu, 2010:508).  There exist many studies in literature to determine the mentioned anxiety.  “Most of the problems to see mathematics anxiety put forth the fact that  there exists no consensus for mathematics anxiety therefore various  measurement techniques were developed. The first mathematics anxiety  rating scale is created by Dreger &amp; Aiken (1957) (Kazelskis, 1998:623).  The study is prepared to clarify the reasons for mathematics anxiety of the  students taken basic mathematics courses in Yalova Community College.  Therefore surveys as anxiety rating scale (consisted of 10 items and  created by Recep Bindak in 2005) are applied to 200 students and 175 of  them are taken into account. SPSS 16 program is used to analyze the  research data.  Keywords: Education of mathematics, Anxiety, Mathematics anxiety,  Yalova</text>
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                    <text>International Conference on Economic and Social Studies, 10-11 May, 2013, Sarajevo

Turkish “Spring”, European “Fall”: A Political-Economic
Analysis of Turkey-European Union Relations
Hatice Yazgan
Çankırı Karatekin University, Çankırı, Turkey
hyazgan@karatekin.edu.tr
Mutlu Yılmaz
Gediz University, İzmir, Turkey
mutlu.yilmaz@gediz.edu.tr
Current stalemate in Turkey-European Union (EU) relations stemming mainly
from political issues has taken place by coincidence when both parties namely
Turkey and the EU are experiencing peculiar economic circumstances. The EU,
on the one hand, has been struggling to restore the effects of debt crisis and
on the other hand Turkish economy has been displaying an outstanding
economic performance. Turkish economic performance with repercussions in
its foreign policy displayed by Turkish economic and political activism in
neighboring areas has led to “axis shift” debate in some circles which refers
disassociation of Turkey from the “West”. In contrast, the EU, experiencing the
deepest economic crisis of ever has also a political turmoil inside and possible
scenarios have been discussed for the future of the Union while huge steps are
taken which led to more “deepening”. Future of the relations between Turkey
and the EU is very much dependent on the future tendencies of both sides
which have clues from today’s policies. Combined effect of the EU’s
economic/politic deterioration, put it another way “European fall” and Turkish
economic performance and foreign policy activism, “Turkish spring” have
reinforced the scenarios for the future of the relations. Against this
background, this paper aims to analyze the current situation and the future
tendencies through the political-economic analysis of the relations. This
analysis is two-folded: On the one hand, economic relations of the two-sides
will be elaborated by utilizing economic data including basically the foreign
trade statistics comparatively analyzed through years and economic
interdependency and integration of both sides will be analyzed partly through
customs union arrangements and the other common policy areas. On the
other hand, political dimension of the relations will be elaborated mainly by
analyzing the possible future political scenarios of the EU discussed in
European circles. Main argument of this paper is that future of the relations
between Turkey and the EU is dependent on the future direction of the EU
which should be closely observed by Turkey and although current foreign trade
statistics refer different directions other than the EU, Turkey’s economic
performance could be leverage for the EU membership given the intertwined
nature of political and economic aspects of Turkish accession to the EU.
Keywords: Axis Shift, Debt Crisis, European Union, Turkey, Turkish Economy.

154

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YILMAZ, Mutlu</text>
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                <text>Current stalemate in Turkey-European Union (EU) relations stemming mainly  from political issues has taken place by coincidence when both parties namely  Turkey and the EU are experiencing peculiar economic circumstances. The EU,  on the one hand, has been struggling to restore the effects of debt crisis and  on the other hand Turkish economy has been displaying an outstanding  economic performance. Turkish economic performance with repercussions in  its foreign policy displayed by Turkish economic and political activism in  neighboring areas has led to “axis shift” debate in some circles which refers  disassociation of Turkey from the “West”. In contrast, the EU, experiencing the  deepest economic crisis of ever has also a political turmoil inside and possible  scenarios have been discussed for the future of the Union while huge steps are  taken which led to more “deepening”. Future of the relations between Turkey  and the EU is very much dependent on the future tendencies of both sides  which have clues from today’s policies. Combined effect of the EU’s  economic/politic deterioration, put it another way “European fall” and Turkish  economic performance and foreign policy activism, “Turkish spring” have  reinforced the scenarios for the future of the relations. Against this  background, this paper aims to analyze the current situation and the future  tendencies through the political-economic analysis of the relations. This  analysis is two-folded: On the one hand, economic relations of the two-sides  will be elaborated by utilizing economic data including basically the foreign  trade statistics comparatively analyzed through years and economic  interdependency and integration of both sides will be analyzed partly through  customs union arrangements and the other common policy areas. On the  other hand, political dimension of the relations will be elaborated mainly by  analyzing the possible future political scenarios of the EU discussed in  European circles. Main argument of this paper is that future of the relations  between Turkey and the EU is dependent on the future direction of the EU  which should be closely observed by Turkey and although current foreign trade  statistics refer different directions other than the EU, Turkey’s economic  performance could be leverage for the EU membership given the intertwined  nature of political and economic aspects of Turkish accession to the EU.  Keywords: Axis Shift, Debt Crisis, European Union, Turkey, Turkish Economy.</text>
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                    <text>International Conference on Economic and Social Studies, 10-11 May, 2013, Sarajevo

Credit Rating Perception
Ramazan Yanık
Atatürk University, Erzurum, Turkey
ryanik@atauni.edu.tr
Murat Serçemeli
Atatürk University, Erzurum, Turkey
msercemeli@atauni.edu.tr

Reşat Karcıoğlu
Atatürk University, Erzurum, Turkey
rkarci@atauni.edu.tr
Severe Tremors existing in Country economies caused by global crisis in
recent years have brought reactions to the notes determined before crisis
period with them for the countries affected considerably from the crises by
Credit Rating Agencies. For this reason, harsh criticisms relating that credit
rating agencies were influenced from political pressures were expressed.
The perception of academicians about this subject is the subject of the
study. In the study, the fact that sharp criticisms against rating agencies
should be evaluated with the dimension perceived by academics is
supported by a study.
Keywords: Credit Rating, Crisis, Academics Perceptions.

239

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                    <text>International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

Credit Rating Perception
Ramazan Yanik
Ataturk University, Erzurum, Turkey
ryanik@atauni.edu.tr
Murat Sercemeli
Ataturk University, Erzurum, Turkey
msercemeli@atauni.edu.tr
Resat Karcioglu
Ataturk University, Erzurum, Turkey
rkarci@atauni.edu.tr
Abstract
Severe Tremors existing in Country economies caused by global crisis in recent
years have brought reactions to the notes determined before crisis period with them
for the countries affected considerably from the crises by Credit Rating Agencies.
For this reason, harsh criticisms relating that credit rating agencies were influenced
from political pressures were expressed. The perception of academicians about this
subject is the subject of the study. In the study, the fact that sharp criticisms against
rating agencies should be evaluated with the dimension perceived by academics is
supported by a study.
Keywords: Credit rating, crisis, academics perceptions

Introduction
As a result of improvement of the relationships between those who demand load and those
who provide funds in ABD in 19th century, rating got wider, and in the world today, it has
been used by mainly the countries as well as a number of organizations.
Credit Graded Organizations are of important place in the realisation of element of
investment, detection and arrangements ın the financial markets. In recent years, it
becomes a discussion subject about the wideness of global crisis.
With the aim of protecting investors on public benefiters of organizations and countries: a)
Borrowing tools they exported (shore and stocks) and they’re loads’ main capital and the
risk of their gains and interest refunds,b) The risks that will be originated from them own
administration and financial structures,c) Measurement of the risks they designed for
specially their financial structure, and the operation of their numbering or determination,
and these have been called as “Credit Graded”.As follows, some of the Graded
organizations and types of Graded have been shown.
Fitch Graded
Today, the organizations publishing financial statistics developed a mark scale from
AAAA to Din the world this organizations has provided knowledge to the more than so
countries, and have been pursuing the data the investor’s demanded.
1

�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

Standard &amp; Poor’s Graded
Today, this organizations has 23 branches offices in all over the world, it produces
solutions for those, which want to decide true investments.
Mood’s Graded
John Moody established it in 1300. It published Moody’s Manuel. A number of founds,
stocks, treasure, and papers for private organizations offer their contents in it. It graded
from AAA to C scale.
Findings
Table 1 Descriptive Statistics
Academic Tittle
Ass. Prof. Dr.
Assoc. Prof. Dr.
Prof. Dr.
Academic Field
Accounting/ finance
Economics

N
29
5
6

%
72,5
12,5
15,0

15
25

37,5
62,5

Table 2 The Field The lecturer tookhis /her academic Title

The criteria as to perception
The criteria of reality of country marks
The criteria of reality of country mark for Turkey
After 2008, the criteria of reality country mark for
Turkey
Independence criteria for country mark
Independence criteria of country mark for Turkey
After 2008, for Turkey independence criteria of country
mark

The criteria as to perception
The criteria of country marks to reflect
the reality
The criteria of country marks to reflect
reality for Turkey
After 2008, the criteria of country marks
to reflect reality for Turkey
Independence criteria for country marks
Independence criteria for country mark
For Turkey
After 2008, independence criteria of
country mark

Accounting /
Finance
Mean
Std.Dev
.
2,53
1,25
2,20
0,94
2,46
0,99
3,06
2,73
2,73

1,10
1,22
1,10

Economics
Mean

Std.Dev.

2,60
2,48
2,40

1,22
1,23
1,22

2,56
2,40
2,32

1,23
1,54
1,14

Ass.Prof.Dr.
Mean
Std.Dev.

Academic Title
Asc.Prof.Dr.
Mean
Std.Dev.

Prof.Dr.
Mean
Std.Dev.

2,48

1,21

2,60

1,14

3,00

1,41

2,34

1,11

2,20

1,10

2,66

1,37

2,41

1,05

2,20

1,30

2,66

1,51

2,65

1,23

2,60

1,14

3,33

1,03

2,44

1,27

2,60

1,14

2,83

0,75

2,48

1,21

2,20

1,30

2,66

0,52

2

�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

Conclusion and Discussion
In the result of responding of the surveys carried out by the lecturers with doctorate
working in the department of accounting and finance at Ataturk University; the
determination of Country Marks by credit Graded Organizations isn’t perceived as
independently and really. The determination of country marks about Turkey after 2008 by
Credit Graded Organizations isn’t perceived as independent and really. As regard academic
tittles and academic fields; there is no distinction as regards evaluation of independence
and reflection of reality.
References
Akbulak .Y. (2012), Kredi derecelendirmesi veya rating: kavram ve ölçütler, Mali Çözüm
Dergisi
http:/www.tesam.org.tr/download/krediderecelendirme pdf
http:/ www.economitrend.com/kredi-derecelendirme-kurumları and notes

3

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SERCEMELI, Murat
KARCIOGLU, Resat</text>
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                <text>Severe Tremors existing in Country economies caused by global crisis in  recent years have brought reactions to the notes determined before crisis  period with them for the countries affected considerably from the crises by  Credit Rating Agencies. For this reason, harsh criticisms relating that credit  rating agencies were influenced from political pressures were expressed.  The perception of academicians about this subject is the subject of the  study. In the study, the fact that sharp criticisms against rating agencies  should be evaluated with the dimension perceived by academics is  supported by a study.  Keywords: Credit Rating, Crisis, Academics Perceptions.</text>
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                    <text>International Conference on Economic and Social Studies, 10-11 May, 2013, Sarajevo

How and Why Corporations Evaluate Sponsored “Sports
for Peace” Projects
Andrew Webb
Faculty of Business Administration, Laval University, Quebec, Canada
andrew.webb.1@ulaval.ca
André Richelieu
Faculty of Business Administration, Laval University, Quebec, Canada
andre.richelieu@fsa.ulaval.ca
Since the United Nations named 2005 the international year of Sports and
Physical education, the field of Sports for Peace research has been
attracting ever increasing academic interest. Yet, one of the
nd
recommendations that resulted from the 2 International Forum on Sport
for Peace and Development, that was held at the United Nations office in
th
th
Geneva on 10 and 11 of May 2011, was a call for the strengthening of
evaluation tools on the impact of sport and for interdisciplinary research to
develop scientific evidence and good practices. However, considering the
rich and complex nature of both sports and peace, will first need to
identify and then focus on the subtle nuances of how sports may
contribute to peace. And since most sports for peace agencies, like the
Open Fun Football School that has been operating in Bosnia-Herzegovina
since 1998, receive funding from large corporations such as Statoil, Socar
and Unicredit, examining the sponsor/sports for peace agency relationship
may be a promising avenue for providing more insight on the sports for
peace construct. A literature review, that covers four concepts related to
how and why corporations evaluate sponsored sports for peace projects,
was conducted as a pertinent first step to help identify key ideas that may
impact future research. Based on the reviewed literature, and on key
peacemaking theory, a conceptual model which crystalizes our
understanding of how sports for peace agency relationships may influence
peace building was constructed. This model demonstrates that the
evaluating of outcomes and impacts of sports for peace projects will be
relative and will not only depend on which relationship we study, but also
on which point of view we choose to examine the relationship. It also
causes us to reflect that these points of view may be influenced by broad
reaching discourse on the importance of Corporate Social Responsibility
(CSR) and on the potential of sports for peace. Finally, we recommend that
more research is needed on how and why each stakeholder monitors and

38

�International Conference on Economic and Social Studies, 10-11 May, 2013, Sarajevo

evaluates the outcomes and impacts of their particular sports for peace
relationships, and that focusing specifically on how and why corporations
evaluated their sponsored sports for peace projects on the ground may be
a promising avenue of research to contribute to the UN’s call for more
insight into the sports for peace and development construct.
Keywords: Peace, Sport, Sports for Peace, Corporate Social Responsibility.

39

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RICHELIEU, André</text>
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                <text>Since the United Nations named 2005 the international year of Sports and  Physical education, the field of Sports for Peace research has been  attracting ever increasing academic interest. Yet, one of the  recommendations that resulted from the 2nd International Forum on Sport  for Peace and Development, that was held at the United Nations office in  Geneva on 10th and 11th of May 2011, was a call for the strengthening of  evaluation tools on the impact of sport and for interdisciplinary research to  develop scientific evidence and good practices. However, considering the  rich and complex nature of both sports and peace, will first need to  identify and then focus on the subtle nuances of how sports may  contribute to peace. And since most sports for peace agencies, like the  Open Fun Football School that has been operating in Bosnia-Herzegovina  since 1998, receive funding from large corporations such as Statoil, Socar  and Unicredit, examining the sponsor/sports for peace agency relationship  may be a promising avenue for providing more insight on the sports for  peace construct. A literature review, that covers four concepts related to  how and why corporations evaluate sponsored sports for peace projects,  was conducted as a pertinent first step to help identify key ideas that may  impact future research. Based on the reviewed literature, and on key  peacemaking theory, a conceptual model which crystalizes our  understanding of how sports for peace agency relationships may influence  peace building was constructed. This model demonstrates that the  evaluating of outcomes and impacts of sports for peace projects will be  relative and will not only depend on which relationship we study, but also  on which point of view we choose to examine the relationship. It also  causes us to reflect that these points of view may be influenced by broad  reaching discourse on the importance of Corporate Social Responsibility  (CSR) and on the potential of sports for peace. Finally, we recommend that  more research is needed on how and why each stakeholder monitors and evaluates the outcomes and impacts of their particular sports for peace  relationships, and that focusing specifically on how and why corporations  evaluated their sponsored sports for peace projects on the ground may be  a promising avenue of research to contribute to the UN’s call for more  insight into the sports for peace and development construct.  Keywords: Peace, Sport, Sports for Peace, Corporate Social Responsibility.</text>
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                    <text>International Conference on Economic and Social Studies, 10-11 May, 2013, Sarajevo

Significant Predictors of Employees’ Motivation and
Employees’ Job Satisfaction
Ljiljan Veselinovid
School of Economics and Business in Sarajevo, Sarajevo, Bosnia and
Herzegovina
ljiljan.veselinovic@efsa.unsa.ba
Zijada Rahimid
School of Economics and Business in Sarajevo, Sarajevo, Bosnia and
Herzegovina
zijada.rahimid@efsa.unsa.ba
As Henry Ford noted in his autobiography “business *…+ is not a machine. It
is a collection of people who are brought together to do work.” In existing
literature it is evident that soft approach of human resources is
predominant since researches are more focusing on workers’ satisfaction
of the job and different aspects of job satisfactions in various businesses’
environment rather than treating workers the same way as other
resources are treated (hard approach). However, job satisfaction is a multifaceted construct. The most conventional aspects of satisfaction are:
satisfaction with pay, promotion opportunities, co-workers, supervision,
and the work itself. Some researches examine model where passion and
organizational commitment are important predictor of job satisfaction.
The purpose of this research is to identify factor structures associated with
Minnesota Satisfaction Questionnaire (MSQ), Organizational Commitment
Questionnaire (OCQ) and Worker Motivation Questionnaire (WMQ) and to
develop regression model that will be able to predict level of motivation
(measured in hours) and workers satisfaction on the sample from Bosnia
and Herzegovina.
An online questionnaire was distributed to individuals by e-mail (Google
Survey Tool). A total of 63 surveys were obtained and analysed. Data
screening, assumption testing and sampling adequacy was done according
to Field (2005). All relevant tests (such as KMO) provide sufficient
information to confirm that factor analysis is the appropriate technique for
the sample.
First regression model shows that passion affect motivation level
(measured in hours) and it accounts for 47% in the variance of the hours

189

�International Conference on Economic and Social Studies, 10-11 May, 2013, Sarajevo

people are motivated. However, other two independent variables
(extrinsic and intrinsic motivation instruments) do not improve significantly
model. Another model emerged from the collected data. Organizational
commitment (both continuance and affective) seems to be a good
predictor of extrinsic satisfaction of the workers. Implication of this is: if
managers want to improve workers’ satisfaction of the working
environment, they should arouse workers emotions toward organization
(affective commitment) and should increase costs of leaving the
organization (continuance commitment). Further researches should be
focused on discovering factors that could predict motivation level in
Bosnian-Herzegovinian environment. As it is already confirmed (in the
literature as well as by this research), salary is not an important predictor
of worker motivation and satisfaction. While passion seems to be the most
important predictor of motivation, it is questionable what facets of passion
are and how to measure them properly.
Keywords: Job Satisfaction, Organization Commitment, Employees’
Motivation, Regression Model, Bosnia And Herzegovina.

190

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                    <text>International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

Significant Predictors of Employees’ Motivation and Employees’ Job
Satisfaction
Ljiljan Veselinovic
School of Economics and Business in Sarajevo, Sarajevo, Bosnia and Herzegovina
ljiljan.veselinovic@efsa.unsa.ba
Zijada Rahimic
School of Economics and Business in Sarajevo, Sarajevo, Bosnia and Herzegovina
zijada.rahimic@efsa.unsa.ba
Abstract
As Henry Ford noted in his autobiography “business […] is not a machine. It is a
collection of people who are brought together to do work.” In existing literature it
is evident that soft approach of human resources is predominant since researches
are more focusing on workers’ satisfaction of the job and different aspects of job
satisfactions in various businesses’ environment rather than treating workers the
same way as other resources are treated (hard approach). However, job satisfaction
is a multi-faceted construct. The most conventional aspects of satisfaction are:
satisfaction with pay, promotion opportunities, coworkers, supervision, and the
work itself. Some researches examine model where passion and organizational
commitment are important predictor of job satisfaction.
The purpose of this research is to identify factor structures associated with
Minnesota Satisfaction Questionnaire, Organizational Commitment Questionnaire
and Worker Motivation Questionnaire and to develop regression model that will be
able to predict level of motivation (measured in hours) and workers satisfaction on
the sample from Bosnia and Herzegovina.
An online questionnaire was distributed to individuals by e-mail (Google Survey
Tool). A total of 63 surveys were obtained and analyzed. Data screening,
assumption testing and sampling adequacy was done according to Field (2005). All
relevant tests (such as KMO) provide sufficient information to confirm that factor
analysis is the appropriate technique for the sample.
First regression model shows that passion affect motivation level (measured in
hours) and it accounts for 47% in the variance of the hours people are motivated.
However, other two independent variables (extrinsic and intrinsic motivation
instruments) do not improve significantly model. Another model emerged from the
collected data. Organizational commitment (both continuance and affective) seems
to be a good predictor of extrinsic satisfaction of the workers. Implication of this is:
if managers want to improve workers’ satisfaction of the working environment,
they should arouse workers emotions toward organization (affective commitment)
and should increase costs of leaving the organization (continuance commitment).
Further researches should be focused on discovering factors that could predict
motivation level in Bosnian-Herzegovinian environment. As it is already confirmed
(in the literature as well as by this research), salary is not an important predictor of
worker motivation and satisfaction. While passion seems to be the most important
predictor of motivation, it is questionable what facets of passion are and how to
measure them properly.
Keywords: job satisfaction,organization commitment, employees’ motivation,
regression model, Bosnia and Herzegovina

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�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

Introduction
The purpose of this research is to identify factor structures associated with Minnesota
Satisfaction Questionnaire (MSQ), Organizational Commitment Questionnaire (OCQ) and
Worker Motivation Questionnaire (WMQ) and to develop regression model that will be
able to predict level of motivation (measured in hours) and workers satisfaction on the
sample from Bosnia and Herzegovina. Literature review is provided in the first section and
subsequently detail explanation of methodology, data structure and results. In the last
section of this paper conclusion, limitations and further research suggestion are given.
This paper aims to contribute to better understanding of different facets of job satisfaction,
organizational commitment and worker motivation. This paper also examines relationship
between these different constructs. From practical perspective, different organizational
climate influences productivity, innovation and employee satisfaction (Rahimić, 2013).
Therefore, studying previously mentioned constructs are even more required in order to
define organizational guiding principles for local managers.
Literature Review
Henry Ford noted in his autobiography that “business […] is not a machine. It is a
collection of people who are brought together to do work.” (Ford 2008, p.65). In Human
Resource Management theory, there are two approaches to managing people (Rahimić
2010, p.20): (1) soft approach and (2) hard approach. Main difference between these two
approaches is the way workers are treated, i.e. the same as other resources (hard approach)
or workers are the most important part of the business (soft approach). However, it seems
that soft approach is predominant in existing literature since researches are more focusing
on workers’ satisfaction of the job and different aspects of job satisfactions in various
businesses’ environment (Ali Shaikh, Buttho and Maitlo 2012; Westover 2012; Sharma
and Bajpai 2011; Ferguson and Cheek 2011; Rogelberg, Allen, Shanock, Scott,
Shufflerwang 2010; Wang, Tiksin, Chiang, Huang 2010).
Job satisfaction is a multi-faceted construct (Rogelberg et al. 2010, p.150). The most
conventional aspects of satisfaction are: satisfaction with pay, promotion opportunities,
coworkers, supervision, and the work itself (Rogelberg et al. 2010, p.150). In the recent
research by Amabile and Kramer (2010)progress was identified as the most important
factors of the employees’ workdays, i.e. making headway in doing jobs was bringing
significant satisfaction to the employees and motivates them to work even harder.
According to this research collaboration, instrumental support, interpersonal support and
having important work are other aspects of the workplace that motivates people to work
harder and to feel satisfied.
Job satisfaction is defined as “…the state in which employees feel the situation of pleasure
from his or her job or it is the positive and emotional state of the employee as a result of
the appraisal of his or her job and performance” (Ali Shaikh et al. 2012, p.322). Different
concepts that are used in existing literature, such as workplace learning, organizational
commitment, and workplace performance are related to the job satisfaction. Jang et al.
(2010) discuss relationship between these constructs: workplace learning improves
workers’ skills and abilities and this in turn enhances job satisfaction and job commitment;
job satisfaction improves organizational commitment; while organizational commitment
can improve workplace performances. All those constructs lead to higher workers’

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�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

productivity. Research conducted by Malhotra et al (2004) indicates that organizational
commitment and job satisfaction influence service quality of customer-contact employees
in backing call centers.
Job satisfaction is “… one of the most commonly researched topics across both
management and psychological disciplines with several hundred refereed, published
articles in the last decade alone.” (Ferguson and Cheek 2011, p.222). Job satisfaction as a
concept could be ignored neither from theoretical perspective nor from practical. From
theoretical perspective, there are many different facets of job satisfaction that should be
analyzed, while from the practical perspective people spend more time at the workplace
than at any other so understanding these facets will help manager in better managing
people.
Five job facets (satisfaction with pay, promotion opportunities, coworkers, supervision,
and the work itself) usually “… account for a substantial amount of the variance in overall
job satisfaction.” (Rogelberg et al. 2010, p.150). However, Westover et al. (2010) examine
model where passion and organizational commitment are important predictor of job
satisfaction. Many others models are developed to predict job satisfaction as well.
However, specific working environments and different cultural values require testing these
models in order to prove its general purpose.
Research Design and Methods
The purpose of this research is to identify factor structures associated with Minnesota
Satisfaction Questionnaire (MSQ), Organizational Commitment Questionnaire (OCQ) and
Worker Motivation Questionnaire (WMQ) and to develop regression model that will be
able to predict level of motivation (measured in hours) and workers satisfaction on the
sample from Bosnia and Herzegovina.
Data was collected by questionnaire based on existing literature. Questionnaire is consisted
of following five sections:
(1) General information about respondents (age, education, gender, their general
satisfaction level).
(2) MSQ developed by Weis, England, Dawis and Lofquist (20 questions)
(3) OCQ developed by Modwday, Porter and Steers (15 questions)
(4) Worker motivation and satisfaction on one particular day. Respondent were asked to
choose one particular day, to write what happened on that day, and then to estimate
different aspects of job satisfaction and motivation instruments that occurred on that
particular day.
(5) Average salary (this was the last question showed at separate page with clear
information that they are not oblige to answer it; however 43 respondents out of 63
answer to this question as well)
MSQ was developed by Weiss, Daswis, England and Lofquist (Wang et al., 2010) and is
based on five-point Likert scale. It comes in 100-item long form and a 20-item short form.
In general, MSQ is covering almost 20 aspects of job satisfaction, such as “… activity,
independence, variety, social status, supervision and moral values.” (Wang et al. 2010,
pp.151). Organizational commitment questionnaire (OCQ) was used since it affects job
satisfaction the most, according to researches of Westover et al. (2010). Again, five-point
Likert scale was used.

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�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

In order to predict job satisfaction and worker motivation, respondents were asked to think
of one particular day. Although, this question was not indented to be used in data analysis
it is important to collect other data: respondents would be focused on that particular day,
and their answers would reflect their reality since they would be forced to think of that day.
Respondents were asked to estimate their motivation level, passion level and tasks
completed that particular day in percentage (from 0 to 100). Many other facets of
workplace that affects job satisfaction and worker motivation were measured on five-point
Likert scale.
All statistical procedure will be done according to suggestion of Field (2005) and Hair et
al. (2010). Variables that are collected from the questionnaire are shown in Table 1.
Table 1: Variables defined in the questionnaire
Variable
AGE
GENDER
WORKING_HOURS_DAY
WORKING_DAYS_PER_WEEK
DO_YOU_LIKE_YOUR_WORK
SATISFACTION_LEVEL

Description and measure
Number of years
Male or female
Working hours during the week
Number of working days per week
Yes or No
General satisfaction level of current work (Ten-point
Likert scale)
RESOURCES_AVAILABLE
Are all required resources available to you? (Tenpoint Likert scale)
MSQ_Q1, MSQ_Q2, […],
Minnesota Satisfaction Questionnaire [20 questions]
MSQ_Q20
(Five-point Likert scale)
OCQ_Q1, OCQ_Q2, […],
Organizational Commitment Questionnaire [15
OCQ_Q15
questions] (Five-point Likert scale)
TASK_DESCRIPTION
Description of one particular day [text/ memo]
RM_MOTIVATION_LEVEL
Estimation of general motivation level at that
particular day (in hours)
PASSION
How passionate they were in doing that job at that
particular day
(as percentage)
TASK_COMPLETED
How much of the work was done at that particular
day? (as percentage)
RM_Q1, RM_Q2, […], RM_Q8
Question regarding causes of worker motivation that
occurred at that particular date [8 questions] (Fivepoint Liker scale)
SALARY
Their monthly income (average salary)
*Note: Description of MSQ_Q1, MSQ_Q2, OCQ_Q1 etc. are provided in exploratory factor analysis’
section

Basic descriptive statistics and correlation matrices were used to analyze data. Exploratory
factor analyses were used to identify factor structure among question from MSQ, OCQ and
WMQ. This method will be employed to find common factors from the three sections, so
average scores of the factors will be used. In order to predict job satisfaction and worker
motivation, multiple regressions will be used.
Data Collection
An online questionnaire was distributed to individuals by e-mail (Google Survey Tool). A
total of 63 surveys were obtained and analyzed out of 312 that were distributed, which
represents response rate of 20%. Female represents 57.1% of the sample, while male
42.9%. All respondents aged between 20 and 40 years.
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�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

Salary and text description of one particular day were not required to fill. However, total of
46 respondents provided information regarding their salaries, and almost everyone
provided textual description of one particular day. Descriptive statistics regarding age,
salary and average working hours are shown in table 2.
Table 2: Descriptive statistics – age, salary and average working hours per day
N

Minimum

Maximum

Mean

Std. Deviation

Age

63

20

40

28.56

4.450

Average salary (BAM)

46

200

4000

1397.55

773.325

Average working

63

5

18

8.74

1.962

hours per day

Seventeen surveys had missing values in one variable (salary) since it was not obligate to
answer. This lack of data certainly limits the results of regression analysis. However, it did
not affect exploratory factor analysis for MSQ, OCQ and MWQ since all other questions
were obligate to answer via web online survey. Data for salary that was collected does not
predict motivation level and is accounted for 6.9% of the total variance in the motivation
level (when salary is independent variable and motivation level is dependent variable), so it
was not used. Variable RM_MOTIVATION_LEVEL had 4 missing values because
question was misunderstood by respondents (instead of writing number of hours,
respondents wrote day of the week). The problem also appeared in expressing the
motivation level as percentage since some respondents use scale from 0 to 1, while other
from 0 to 100 (although 0 to 100 was specified). All those issues were corrected. There
were four outliers detected in the research (case number 8, 43, 56 and 61). Rules for
elimination of case was based on standardized residual and if standardized residual is less
than -2 or greater than 2 cases were eliminated (number of such outliers was at acceptable
level and was less than 7%).
Power of regression model is estimated to be 100% (R2 is 0.725; number of predictors 3;
sample size 63 and probability level of 0.05).
Data Analysis
Before running exploratory factor analysis, data screening, assumption testing and
sampling adequacy was checked. Preliminary analysis suggested by Field (2005) was
followed. All 20 variables from MSQ correlate fairly well except variables MSQ_Q9 and
MSQ_Q1. One-tailed significance of Pearson correlation coefficient between variable
MSQ_Q5, MSQ_Q8, MSQ_Q18 and all other pairs of variable were not significant.
Therefore, these five variables were excluded from the analysis. Variables OCQ_Q4,
OCQ_7 and OCQ_13 in OCQ did not have one-tailed significance of Pearson correlation
coefficient below 0.05, while variable OCQ_Q3 did not correlate to any other. All
variables in MWQ correlate fairly well and one-tailed significance of Pearson correlation
coefficient were below 0.05.
After elimination of five variables from MSQ, the determinant was greater than the value
of 0.0001, so multicollinearity is not a problem of these data anymore. The values of
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�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

determinants above 0.0001 have been calculated for MWQ as well as for the OCQ after
reduction of variables.
Other preliminary analysis includes KMO statistics, Bartlett’s test of sphericity and antiimage matrices analysis. KMO value for MSQ was 0.867, so exploratory factor analysis is
appropriate technique for these data. All diagonal elements of anti-image matrices had
KMO values greater than 0.5. Bartlett’s test is highly significant (p&lt;0.001). KMO values
for OCQ and MWQ were also higher than minimum required. Table 3 shows summaries of
the KMO statistics and Bartlett’s test of sphericity for the MSQ, OCQ and MWQ data.

Table 3: KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of
Sampling Adequacy.
Bartlett's
Approx. Chi-Square
Test of
Df
Sphericity
Sig.

MSQ
.867

OCQ
.860

WMQ
.752

531.952
105
.000

486.835
55
.000

355.747
28
.000

Most of the communalities exceed 0.7, while average communality for the MSQ is 0.66.
Residuals are computed between observed and reproduced correlations. There are 53
(50.0%) nonredundant residuals with absolute values greater than 0.05. Since this value is
not higher than 50%, so no grounds for concern.
The number of extracted factors in MSQ was three (Table 4). Cronbach’s  for each
subscale of MSQ is around acceptable level, which indicates good reliability. Those three
factors accounted for 65.19% of explained variance.
First factor is concerned with extrinsic satisfaction. Extrinsic satisfaction refers to the
situations when employees consider only the conditions of work (coworkers, pay etc), ie.
Satisfaction that comes from outside an individual (for example praise received for doing
good job). Factors 2 and 3 are concerned with different aspects of intrinsic satisfaction
which comes from inside an individual (employees consider the task that make up the job,
job type etc.). Factor 2 is concerned with relationship between one particular employee
and others, while factor 3 is more concerned with giving employee certain level of
freedom.

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�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

Table 4: Rotated Component Matrix(a. Rotation converged in 6 iterations) for MSQ

Extrinsic
satisfactio
n (1)
[19. praise I get for doing a good job]
[20. feeling of accomplishment I get from job]
[12. the way company policies are put into practice]
[13. my pay and the amount of work I do]
[6. the competence of my supervisor in making
decisions]
[17. working conditions]
[14. the chances for advancement on this job]
[10. the chance to tell other people what to do]
[8. my job provides for steady employment]
[4. the chance to be somebody in community]
[3. the chance to do different things from time to time]
[11. do something that makes use of my abilities]
[16. try my own methods of doing the job]
[15. freedom to use my own judgment]
[2. the chance to work alone]
Share of variance explained (%)
Cronbach's Alpha
Cronbach's Alpha Based on Standardized Items
No of Items
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.

Component
Intrinsic
satisfaction:
relationship
(2)

Intrinsic
satisfaction:
level of
freedom (3)

.893
.827
.810
.716
.651
.646
.574
.763
.689
.660
.608
.600

28.329
.894
.894
7

.859
.833
.635
65.194
.846
.844
3

47.536
.818
.820
5

While in Taiwan and BH same, elements of factor 1 (extrinsic satisfaction) are the same
and more important than factor 2 (intrinsic satisfaction). In the US sample, intrinsic
satisfaction was more important than extrinsic satisfaction. Comparison between US,
Taiwan and BH sample is shown in Table 5.
Table 5: Comparison of factor structures of US, Taiwan and BH sample
Sample
BH
Taiwan
US

Factor 1
19, 20, 12, 13, 6, 17, 14
12, 13, 6,17, 5, 20
1, 2,3, 4, 7, 8, 9, 10,
11,15, 16,20

Factor 2
10,8,4, 3,11
2,11, 10, 1, 16, 15
5, 6,12, 13, 14,19

Factor 3
16, 15, 2
4, 3,14
17, 18

Factor 4

Factor 5

19, 18

7, 8, 9

Explanation: Factor 1 in BH sample is represented with red color, factor two with blue color and factor 3
with orange color.Variables identified in the Taiwan and US researched are showed in the second and third
row, while colors of the factors from the BH sampled remained across the table. As it can be seen, most of
the elements that belongs to factor 1 in BH sample, belongs to factor 1 in Taiwan sample, but to factor 2 in
US sample.

The numbers of extracted factors in OCQ questionnaire is two (Table 6). Wang et al.
(2010) borrowed typology from Meyer and Allen (1997), so the same typology was used
here. Therefore, factor 1 is concerned with continuance commitment (employees are
aware of the costs associated with leaving the organization). Factor 2 explains affective

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�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

commitment (emotions and attitudes towards organization). Cronbach’s  for each
subscale of OCQ is around acceptable level, which indicates good reliability.
Table 6: Rotated Component Matrix(Rotation converged in 3 iterations) for OCQ

[11.not much gained by sticking with this org (R)]
[9.little change cause me to leave (R)]
[15.mistake on my part working for this org (R)]
[10.glad choosing this organization to work for.]
[12.difficult to agree with the policies relating to
employees (R)]
[8.inspire the very best in me in way of job
performance]
[14.best of all possible org to work]
[1.putting great deal of effort to help this
organization]
[2.great organization to work for]
[6.proud to tell that I am part of this organization]
[5.my and the organization’s values are similar]
Share of variance explained (%)
Cronbach's Alpha

Component
Continuance
Affective
commitment (1)
commitment (2)
.902
.884
.757
-.692
.641
-.603
.775
.769

36.675
.770

Cronbach's Alpha Based on Standardized Items
.772
No of Items
6
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.

.745
.745
.670
69.116
.741
.743
5

MWQ revealed two kinds of instruments that happened at one particular day workers
selected (Table 7): intrinsic motivation instruments (factor 1) and extrinsic motivation
instruments (factor 2). Cronbach’s  for each subscale of MWQ is around acceptable level,
which indicates good reliability (see appendices)

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�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

Table 7: Rotated Component Matrix (Rotation converged in 3 iterations) for MWQ
Component
Intrinsic
Extrinsic
motivation
motivation
instruments (1)
instruments (2)
.920

[3. The goals were clear and I know what I was
supposed to do]
[1. That particular day I had a feeling I was
.865
making progress, ie. I was busy all day]
[2. I was excited about work that day. I believed
.835
I could finish the work that was required.]
[4. Deadlines were clearly defined and I had
.834
enough time to finish my work]
[7. That day I made an excellent collaboration
with our colleagues, who helped me (and often
do) to overcome obstacles]
[8. My colleagues were very accessible to,
friendly and helpful]
[5. I got recognition for my work doing that
particular day]
[6. I received a monetary incentives on that day]
Share of variance explained (%)
39.129
Cronbach's Alpha
.908
Cronbach's Alpha Based on Standardized Items
.912
No of Items
4
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.

.858

.815
.810
.725
74.114
.837
.843
4

Initial regression model (Figure 1) was that motivation level (measured in hours at one
particular day) will depend on passion and many different instruments. WMQ factor
analysis revealed that there are two groups of motivation instruments: intrinsic and
extrinsic. So, following regression model was specified.
Figure 1: Regression model 1
Independent variable 1
Passion (PASSION)
Independent variable 2
Intrinsic motivation instruments
(WMQ_FACTOR1)

Dependent variable
Motivation level
(RM_MOTIVATION_LEVEL)

Independent variable 3
Extrinsic motivation instruments
(WMQ_FACTOR2)

However, only passion is significant predictors of motivation level, as it was already
suggested by Westover et al. (2010). Passion alone could explain 47% of the variance in
the motivation level. Other two independent variables (intrinsic and extrinsic motivation
instruments) do not improve model considerably (change of R2 is 0.01 and 0.02 when
WMQ_FACTOR1 and WMQ_FACTOR2 are introduced, respectively). Assumption of
independent errors is tenable (Durbin-Watson statistic is close to 2). Multicollinearity is no

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�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

problem, which can be seen from correlation matrix as well (no Pearson coefficient is
above 0.9). However, assumption of homoscedasticity is not met. VIF statistics also shows
that there is no multicollinearity, however tolerance statistics is below 0.1 which indicates
a serious problem. Therefore, this model will not be analyzed further.
Table 8: Model Summaryd
Mo
del

1

R

.6
90

R
Square

Adjusted
R Square

Std. Error
of the
Estimate

Change Statistics
R Square
Change

F
Change

df1

df
2

DurbinWatson
Sig. F
Change

.477

.468

1.995

.477

51.940

1

57

.000

.480

.461

2.007

.003

.344

1

56

.560

.481

.452

2.024

.001

.073

1

55

.788

a

2

.6
93
b

3

.6
93

2.110

c

a. Predictors: (Constant), PASSION; b. Predictors: (Constant), PASSION, RM_FACTOR1; c.
Predictors: (Constant), PASSION, RM_FACTOR1, RM_FACTOR2; d. Dependent Variable:
RM_MOTIVATION_LEVEL

After collected data has been study in more details, following (new) model was
established: Workers’ satisfaction of the working environment could be predicted if we
increase intrinsic satisfaction, workers emotions toward organization (affective
commitment) and costs of leaving the organization (continuance commitment).
Figure 2: Regression model specifications
Independent variable 1
Intrinsic satisfaction (MSQ_FACTOR 2)

Independent variable 2
Affective commitment (OCQ_FACTOR 2)

Dependent variable
Extrinsic satisfaction (MSQ_FACTOR 1)

Independent variable 3
Continuance commitment (OCQ_FACTOR 1)

This model was specified in order to predict level of extrinsic satisfaction of the job (i.e.
satisfaction when workers consider only the conditions of work). Extrinsic satisfaction is
an average value of the variables that belongs to MSQ Factor 1 (19, 20, 12, 13, 6, 17 and
14). Independent variables are: intrinsic satisfaction, affective commitment and
continuance commitment. Intrinsic satisfaction means that workers consider only the type
of work they do or the tasks that make up the job (measured by average value of the
variables that belongs to MCQ Factor 2 – variables 10, 8, 4, 3, 11). Affective commitment
represents attitudes that employees show towards organization (measured by average value
of the variables that belongs to OCQ Factor 2 – variables 14, 1, 2, 6, 5). Continuance
commitment explains employees’ awareness of the costs associated with leaving the
10

�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

organization (measured by average value of the variables that belongs to OCQ Factor 2 –
variables 1, 9, 15, 10, 12, 8).
All assumptions are met (variable types are quantitative; non-zero variance; no perfect
multicollinearity; homoscedasticity; Durbin-Watson test of independent errors).
Table 7: Model Summary
Mo

R

del

R

Adjusted

Std. Error

Squa

R Square

of the

R

F

df

Estimate

Square

Chan

1

Change

ge

re

Change Statistics

Durbindf2

Sig.

Watson

F
Cha
nge

1

.59
8

2

.79
8

3

.357

.347

.73370

.357

a

1

61

.000

1

60

.000

1

59

.000

7
.637

.625

.55590

.280

b

.85

33.88

46.26
0

.725

.712

.48752

.088

19.01

2.096

c

2
2
a. Predictors: (Constant), MSQ_FACTOR2; b. Predictors: (Constant), MSQ_FACTOR2, OCQ_FACTOR2;
c. Predictors: (Constant), MSQ_FACTOR2, OCQ_FACTOR2, OCQ_FACTOR1; d. Dependent Variable:
MSQ_FACTOR1

Intrinsic satisfaction accounts for 35.7% of the variance in extrinsic satisfaction. Affective
commitment and intrinsic satisfaction account for 63.7% of the variance in extrinsic
satisfaction. Finally, continuance commitment, affective commitment and intrinsic
satisfaction account for 72.5% of the variance in extrinsic satisfaction. Adjuster R2 does
not change radically so if the sample was derived from the population from which the
sample was taken, independent variables would account for almost the same percentage of
variance in extrinsic satisfaction.
Conclusions, Limitations and Further Research Suggestion
Minnesota Satisfaction Questionnaire analyses different aspects of the job satisfaction.
However, two factors could be identified: intrinsic and extrinsic satisfaction. Exploratory
factor analysis conducted in the US and Taiwan has similar factor structure, but it seems
that BH sample structure is more similar to Taiwan than US sample. Organization
Commitment Questionnaire discovered two factors: continuance and affective
commitment. Worker Motivation Questionnaire discovered two kinds of instruments to
improve motivation during day: intrinsic and extrinsic.
First regression model shows that passion affect motivation level (measured in hours) and
it accounts for 47% in the variance of the hours people are motivated. However, other two
independent variables (extrinsic and intrinsic motivation instruments) do not improve
significantly model and the model does not meet multiple regression assumptions.
Therefore, it was not analyzed. However, another model emerged from the collected data.
Intrinsic satisfaction, and organizational commitment (both continuance and affective)
seems to be a good predictor of extrinsic satisfaction. Managerial implication of this is: if
managers want to improve workers’ satisfaction of the working environment, they should

11

�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

increase intrinsic satisfaction, as well as workers emotions toward organization (affective
commitment) and should increase costs of leaving the organization (continuance
commitment).
At shallow view at the data collected could derive conclusion that sample size could be
limitation to this research. However, all relevant tests provide sufficient information to
confirm that factor analysis is the appropriate technique. According to some researches
(Field, 2005, p.640; Guagagnoli and Velicer, 1988) factor with four or more loadings
greater than 0.6 is reliable which was the case in this research. Some argues that overall
KMO greater than 0.7 is good enough to use exploratory factor analysis. While there is no
doubt that data for factor analysis was collected properly (Likert scale), precision of data
for regression data for the first model could be improved by conducting in-depth
interviews.
Further researches should be focused on discovering factors that could predict motivation
level in Bosnian-Herzegovinian environment. As it is already confirmed (in the literature
as well as by this research), salary is not an important predictor of worker motivation and
satisfaction. While passion seems to be the most important predictor of motivation, it is
questionable what facets of passion are and how to measure them properly.
References
Atkinson, Robert D. ve Ulevich, Jacob. (2000). Digital Government: The Next Step to
Reengineering the Federal Government. Progressive Policy Institute Technology
&amp; New Economy Project.www.ppionline.org/documents/DigitalGov.pdf, 5. date
of access: 12.02.2013.
Amabile T., Kramer, S. (2010). What Really Motivates Workers?. Harvard Business
Review, January-February 2010
Field, A. (2005). Discovering Statistics Using SPSS. Second Edition. SAGE publications.
Ferguson, T. D., Cheek, R. (2011). How Important Are Situational Constraints in
Understanding Job Satisfaction? International Journal of Business and Social
Science, Vol. 2 No. 22; December 2011
Ford, H. (2008). My Life and Work: An Autobiography of Henry Ford. BN Publishing
Guadagnoli, E., Velicer, W. (1988). Relation of sample size to the stability of component
pattern. Psychological Bulletin, 103/ 265-275
Hair, J. Black, W., Babin, B. Anderson, R. (2010). Multivariate Data Analysis. Seventh
edition. Prentice Hall
Meyer, J.P., Allen, N.J (1997). Commitment in the workplace – Theory, research, and
application. Newbury Park, CA: Sage
Neeru Malhotra, Avinandan Mukherjee, (2004) The relative influence of organisational
commitment and job satisfaction on service quality of customer- contact
employees in banking call centres. Journal of Services Marketing, Vol. 18 Iss: 3,
pp.162-174
12

�International Conference on Economic and Social Studies (ICESoS’13), 10-11 May, 2013, Sarajevo

Rahimić, Z. (2010). Menadžment ljudskih resursa. Ekonomski fakultetu u Sarajevu,
Sarajevo.
Rahimić, Z. (2013). Influence of Organizational Climate on Job Satisfaction in Bosnia and
Herzegovina Companies, International Business Research: Vol. 6, No. 3:2013,
ISSN 1913-9004 E-ISSN 1913-9012, pp. 129-139
Rogelberg, S.G., Allen, J.A., Shanock, L. Scott, C., Shuffler, M. (2010). Employee
Satisfaction with Meetings: A Contemporary Facet of Job Satisfaction. Human
Resource Management, March–April 2010, Vol. 49, No. 2, Pp. 149–172
Shaikh, M.A., Bhutto, N.A., Maitlo, Q. (2012). Facets of Job Satisfaction and Its
Association with Performance. International Journal of Business and Social
Science. Vol. 3 No. 7; April 2012
Sharma, J.P, Bajpai, N. (2011). Salary Satisfaction as an Antecedent of Job Satisfaction:
Development of a Regression Model to Determine the Linearity between Salary
Satisfaction and Job Satisfaction in a Public and a Private Organization. European
Journal of Social Sciences. Volume 18, Number 3 (2011)
Wang, J., Tolson, H., Chiang, T., Huang, T. (2010). An exploratory factor analysis of
workplace learning, job satisfaction, and organization commitment in small to
midsize enterprises in Taiwain. Human Resource Development International. Vol.
13, No. 2, April 2010, 147-163
Westover, J., Westover, A., Westover, L. (2010). Enhancing long-term worker productivity
and performance. International Journal of Productivity and Performance
Management. Vol. 59, No. 4., pp.372-387
Westover, J. (2012). Comparative International Differences in Intrinsic and Extrinsic Job
Quality Characteristics and Worker Satisfaction, 1989-2005. International Journal
of Business and Social Science. Vol. 3 No. 7; April 2012.

13

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RAHIMIĆ, Zijada</text>
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                <text>As Henry Ford noted in his autobiography “business *…+ is not a machine. It  is a collection of people who are brought together to do work.” In existing  literature it is evident that soft approach of human resources is  predominant since researches are more focusing on workers’ satisfaction  of the job and different aspects of job satisfactions in various businesses’  environment rather than treating workers the same way as other  resources are treated (hard approach). However, job satisfaction is a multifaceted  construct. The most conventional aspects of satisfaction are:  satisfaction with pay, promotion opportunities, co-workers, supervision,  and the work itself. Some researches examine model where passion and  organizational commitment are important predictor of job satisfaction.  The purpose of this research is to identify factor structures associated with  Minnesota Satisfaction Questionnaire (MSQ), Organizational Commitment  Questionnaire (OCQ) and Worker Motivation Questionnaire (WMQ) and to  develop regression model that will be able to predict level of motivation  (measured in hours) and workers satisfaction on the sample from Bosnia  and Herzegovina.  An online questionnaire was distributed to individuals by e-mail (Google  Survey Tool). A total of 63 surveys were obtained and analysed. Data  screening, assumption testing and sampling adequacy was done according  to Field (2005). All relevant tests (such as KMO) provide sufficient  information to confirm that factor analysis is the appropriate technique for  the sample.  First regression model shows that passion affect motivation level  (measured in hours) and it accounts for 47% in the variance of the hours people are motivated. However, other two independent variables  (extrinsic and intrinsic motivation instruments) do not improve significantly  model. Another model emerged from the collected data. Organizational  commitment (both continuance and affective) seems to be a good  predictor of extrinsic satisfaction of the workers. Implication of this is: if  managers want to improve workers’ satisfaction of the working  environment, they should arouse workers emotions toward organization  (affective commitment) and should increase costs of leaving the  organization (continuance commitment). Further researches should be  focused on discovering factors that could predict motivation level in  Bosnian-Herzegovinian environment. As it is already confirmed (in the  literature as well as by this research), salary is not an important predictor  of worker motivation and satisfaction. While passion seems to be the most  important predictor of motivation, it is questionable what facets of passion  are and how to measure them properly.  Keywords: Job Satisfaction, Organization Commitment, Employees’  Motivation, Regression Model, Bosnia And Herzegovina.</text>
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Socio intercultural Evaluation for Investment Projects in
Indigenous Communities Wixarikas
José G. Vargas-Hernández
University of Guadalajara, Mexico
jvargas2006@gmail.com
This paper analyses aspects of the problem that occurs in the social
evaluation of investment projects for indigenous communities’ Wixarikas
(Huichols). A project in this context make particularly complex the
evaluation. On the socio-economic perspective with which it is evaluated
comes into play the incommensurability of social and intercultural issues
that cannot be ignored. It is addressed the questions that have arisen in
the development of this type of project and presents a theoretical
framework for the methodological proposal of socio-cultural evaluation.
Keywords: Social Evaluation of Investment Projects, Socio-Intercultural
Evaluation, Indigenous Communities, Wixarikas.

181

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                <text>This paper analyses aspects of the problem that occurs in the social  evaluation of investment projects for indigenous communities’ Wixarikas  (Huichols). A project in this context make particularly complex the  evaluation. On the socio-economic perspective with which it is evaluated  comes into play the incommensurability of social and intercultural issues  that cannot be ignored. It is addressed the questions that have arisen in  the development of this type of project and presents a theoretical  framework for the methodological proposal of socio-cultural evaluation.  Keywords: Social Evaluation of Investment Projects, Socio-Intercultural  Evaluation, Indigenous Communities, Wixarikas.</text>
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Electronic Government and Privacy
Abdullah Ural
Yalova University, Yalova, Turkey
uralabdullah@gmail.com
Cihat Çetin
Yalova University, Yalova, Turkey
cihatcetin@gmail.com
Privacy can be defined as areas which are peculiar to an individual not to public
or society. The concept of privacy is mentioned with the concepts of
confidentiality and security of personal information and private areas. While
the governments create electronic tools and environment to watch and make
observation to provide the citizens more secure and an environment to live, it
might cause an individual’s private area to shrink.
Today records of cameras, signals of mobile phones, records of phone calls
through mobile phones, IP numbers of computers, e-mail tracking systems,
satellite based systems, Google earth applications, GPS applications are the
tools that comes to mind at first which can be used to violate privacy. These
tools can be easily reached. When these tools are used for observation, they
can constrict privacy. Some of the ethical issues that appear are as follows:
Does the government open files on citizens? Do individual privacy and freedom
not exist? Does watching and recording everything citizens do conform to
democracy?
As Michael Faucault mentioned knowing means being strong and ruler ship
keeps information to hold power. Today not only governments but also private
huge corporations gather information and both of them watch citizens. As a
result, individuals face social, psychological security and insecurity problems
caused by these. Because of this individuals and societies should be informed
about these issues and ways to protect individual freedom.
Though governments should develop sensitivity to such issues and regulations
are needed to be done, it is not enough. In this study, as discussed in
democracy theory, we propose that a strong government which is furnished
with information might always cause a threat to individual freedom. In
addition, contrary to liberal democracy that huge corporations threaten
democracy by interfering individuals’ privacy will be examined. We suggest
that it is necessary to establish and increase the efficiency of an independent
“Information Conservation and Auditing Authority”.

Keywords: Electronic Government, Privacy, Information Conservation,
Auditing Authority.
5

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Electronic Government and Privacy
Abdullah Ural
Yalova University, Yalova, Turkey
uralabdullah@gmail.com
CihatÇetin
Yalova University, Yalova, Turkey
cihatcetin@gmail.com
Abstract
Privacy can be defined as areas which are peculiar to an individual not to public or
society. The concept of privacy is mentioned with the concepts of confidentiality
and security of personal information and private areas. While the governments
create electronic tools and environment to watch and make observation to provide
the citizens more secure and an environment to live, it might cause an individual’s
private area to shrink.
As Michael Faucault mentioned knowing means being strong and rulership keeps
information to hold power. Today not only governments but also private huge
corporations gather information and both of them watch citizens. As a result,
individuals face social, psychological security and insecurity problems caused by
these. Because of this, individuals and societies should be informed about these
issues and ways to protect individual freedom.
Building of personal databases by the state and private businesses is otherizing the
individual with prejudice in many fields, and causing to feel the self weak and
helpless. Political alienation which may emerge as a result of this othering may
deepen the representation crisis which liberal democracy is in on the contrary to the
assumption that e-state would increase participation.
Key words: Electronic government, privacy,Invasion of Privacy, liberal democracy

Introduction
Today records of cameras, signals of mobile phones, records of phone calls through mobile
phones, IP numbers of computers, e-mail tracking systems, satellite based systems, google
earth applications, GPS applications are the tools that come to mind at first which can be
used to violate privacy. These tools can be easily reached. When these tools are used for
observation, they can constrict privacy. Some of the ethical issues that appear are as
follows: Does the government open files on citizens? Do individual privacy and freedom
not exist? Does watching and recording everything citizens do conform to democracy?
Though governments should develop sensitivity to such issues and regulations are needed
to be done, it is not enough. In this study, as discussed in democracy theory, we propose
that a strong government which is furnished with information might always cause a threat
to individual freedom. In addition, contrary to liberal democracy that huge corporations
threaten democracy by interfering individuals’ privacy will be examined.

1

�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

Electronic Government
For the services provided to citizens, it is beyond any doubt that technology has made it
faster and faster, better quality, less expensive, more transparent, more equitable and more
reliable. When the public administration is taken into consideration, technology has
revealed a new management model by the opportunities it provides.The Internet and web
technology oriented applications which brought forward this new understanding in terms
of public administration have been conceptualized in different sources in different ways.
For instance, Fountain (2001) used the term “virtual state” describing web and Internet
based applications in public administration, some writers (Atkinson ve Ulevich, 2000;
Garson, 2004; Mullen, 2004) have prefered to use the term “digital state”. In addition to
this, the term widely used in the literature is “electronic government”. (Howard, 2001;
West, 2004; Evans and Yen, 2006; OECD, 2003; Worldbank, 2008; De Benedictis et al…
2002). With reference to widespread acceptance in litearature, electronic government term
has been adopted to conceptualize new management approach in public administration.
In the literature, there are many definitions developed on the understanding of electronic
government. We are confronted with that some parts of these definitions are narrow sense
but some parts of these are wider scoped definitions. Within these, the selected main
definitions of e-government can be listed as follows: It is to serve up government
information and services to citizens online through the use of the Internet and other digital
tools. (West, 2004: 16)It is the use of information and communication technologies
particularly the Internet in governmental issues to produce service(Howard, 2001: 6) for
citizens and businesses as well. (OECD, 2003: 23). It is the use of information and
communication technologies to improve public services and democratic functioning and to
secure the support of public policies in public administration which is combined with
organizational change and new skills.(United Nations, 2003: 7)
We understand with all these definitions in common is that a system in which all
information and data are distributed with less cost by quick obtaining, the relationship of
goods / services work between individuals and institutions is practised more effectively
and productively with the help of online methods (Kösecik ve Karkın, 2004: 119-120),
bureaucracy is reduced, the state governance has become more transparent (Erdal,
2004:1), expenditures are diminished, information and communication technologies are
used for offering public services as a tool, public administration is restructured on behalf of
citizens’satisfaction.
Privacy
Privacy is closely related to the concept of supervision. The concept of supervision can be
discussed in two ways. While supervision, by its first definition, means the enciphered
knowledge that can be used for managing human behaviours, it involves, by its second
definition, of an authority to watch human behaviours directly. (Gİddens, 2008, p.24)
Today, not only governments but also private sectors collect personal information. Also,
private sectors conduct a supervision function as governments.
Privacy, however, generally means an area that people can stay on their own, that they can
think and behave however they wish, that they themselves can decide to when, where,
how, and to what extent communicate with others; and the right they have on this area
(Yüksel, 2003:182). It is the dependent upon their choice that whether some human

2

�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

behaviours should be confidential or open-to-public, and they should be secret to
government and other people’s concern.
The invasion extent of privacy is higher and more effective in the processes of e-state and
the spreading of information and communication technologies. While it is a local region or
a street that an individual’s private information may spread through the people’s sayings
with the possibility to be forgotten in a short time; this kind of private information will be
open to everybody living in the world; a picture, a video or a clip or a piece of writing may
be duplicated many times and, in theory, maintain its existence forever in the virtual world
(Tataroğlu, 2009, p:96).
Invasion of Privacy
One of the major problems of today’s democracies is the representation crisis they find
themselves in. The rate of participation in elections is very low in many western countries.
The citizens’s trust on the representative institutions of democracy and politicians is
decreasing gradually. It is discussed whether the e-state, by the help of technological
means, would bring solutions to the political alienation by increasing the participation in
the democratic processes. Therefore, it is hoped that it will increase the support on the state
and its institutions and save the future of democracy.
Information and data technologies may present a solution to the represenation crisis of
democracy with its role in participation. On the other hand, it may bring many threats in
terms of democracy. The activities that are carried out on an electronic spectrum can be
recorded, and the personal information can be unveiled, all the activities hidden, and
controllable.
The information and communication technologies, with their means to watch and to
inform, may provide a great power with governments. It leads to an over centralization of
the power in bureaucracy. The information technologies, today, support an organization
aimed at increasing bureaucratic control mechanisms. Power may transform into a
totalitarian identity when it lays a focus on a certain area. This situation brings the threat
for the democratic regimes to go dead and governments to show a tendency toward
repressive, totalitarian and anti-democratic works.
The term “thought police” that Laidler has drawn attention shows the possibility to know
the people’s political views from their activities on internet. It is not only possible to find
out the political tendencies of people by detecting what sites they have visited on internet,
what newspapers they have read, what books they have bought by their credit cards, but
also to draw their personal profiles, and determine their illnesses, weak and strong sides.
Moreover, these records may be transformed into personal data bases.
Besides, the invasion of privacy may stem not only from the states but also from private
individuals or companies. In addition to the state institutions, the private institutions that
communicate with people for some purposes, service and so forth, mostly make it a precondition, in a commanding position, for the individuals to tell both their personal
information and, most importantly, credentials. It can be regarded almost impossible for
people’s personal information to be kept secret. It may come to mean that surfing the net or
doing something on it, shopping by creadit card, paying highway fines, or even carrying a
mobile phone with you, will cause your private information to be unveiled and monitored.

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�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

The employers can do some monitoring practices with the intention of decreasing the risks
at workplaces. They feel obligated to examine the employers’ internet use, e-mail traffic
and phone calls because of some reasons such as performance evaluation, productivity
measurement, and safety concerns. These practices mean the invasion of the privacy of
employers’ private lives.
The privacy violations of companies make it necessary to question the fundamental values
of the liberal democracy. Liberalism owes its existence to free market and the individual
who set him free and apart of state. Privacy in liberal thought is the field that an individual
is set free or, necessarily is set free, comprehends in whatever way he wants, develops
himself, and pursues his own goodness. This field must be protected from any kind of
intervention.
It’s not possible to mention free will, if the individual isn’t able to possess field of privacy
or is afraid of being followed or is exposed to different interventions. The foundations of
democratic society are based on the existence of public interest in supervision of
governments and the privacy right which protects the individual and common life.
(Tataroğlu, 2009, S:100) In the same way, the society may cause pressure on the individual
but the perception of society for liberal thinkersis evaluated within the context of beliefs,
traditions and values. In this case, as the national or international companies are not
accepted in state sphere, will they be accepted in the public sphere, or are they units of
individual sphere which emerged as a result of free will and free enterprise.
No matter what we accept, it is true that companies intervene in individual privacy keeping
a kind of “consumer tendency statistics”. The market, which restrains the state from
repressing the individual by balancing the state power, may also invade the area of
freedom and privacy of the individual whom it protects. The free and autonomous liberal
individual who can preserve itself by means of economical power it owns can intervene in
other individual’s privacy in order to increase the economical power once more.
The Effect of Privacy Invasion on Individuals
Privacy invasions may cause changes in individuals’ psychological states and behaviours.
Knowing the possibility that governments might use these technologies - even if they do
not - may create effects on the thoughts and behaviours of individuals. The selfconfidence of individuals who think that they are constantly under supervision begin to
corrode in time. Their personalities depreciate and they may have to behave submissively
and in a way that they are told to. The individual who supposes that he can always be
monitored – even if they are not – develops a self-control mechanism on his own and starts
overseeing himself. Individuals who know that the government owns the technologies to
constantly monitor him or her begin to feel that they no longer have privacy and adopt a
self-censorship application which will cause them to stay away from behaviours and
thoughts that can mean opposition. Naturally, their reference of values may be the choices,
ideologies, or the words and behaviours which the government or the people who monitor
them will appreciate. (Tataroğlu, 2009, p:111)
The negative effects of monitoring on the employees are; demoralization, the constant rise
of workloads, using the data for the purpose of punishment, stress, and the illnesses caused
by stress according to Yılmaz’s research which he conducted in firms. (Yılmaz, 2005:12).

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�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

Conclusion
The state of chronic fear and anxiety caused by the individual’s opinion that he/she is
monitored all the time may become an obstacle for the individuals to improve and express
themselves. Also, a number of instances at present show that recorded personal data cannot
be protected. Almost every day, it is heard that data of one of the important websites have
been stolen. The governments are primarily responsible for this. Maybe, one of the most
fundamental principles of legality of the state is to protect the tangible and intangible assets
and honour of the individual.
The fact that e-state has the opportunity to be able to reach personal data, store it and
process it by means of communication it has may promote the tendencies to abuse this
power and use it for repressive and authoritarian purposes. The possibility of electronic
totalitarianism should never be ignored.
To overcome the problem of invading privacy, it is necessary for the governments to show
sensitivity and do the required legislation but it is not enough. The governments constitute
legal regulations and enforcements in order to protect the personal data from being used by
the third parties and bureaucracy for illegal purposes. However, it is clearly seen that the
governments cannot fulfil their responsibilities for privacy. Therefore, efficiency of the
politically neutral supervisory and regulatory institutions is required to be increased.
The common argument for the ones who think that the government’s monitoring as an
electronic eye is not inconvenient is that “the ones who has nothing to hide shouldn’t be
afraid of being watched”. This is a very common statement for governing parties
throughout the whole world. This approach assumes that monitoring is related to the
elements which are regarded as crime by law. However, the monitoring is in progress in
much more different fields including physical, financial, familial, and intellectual. Building
of personal databases by the state and private businesses is otherizing the individual with
prejudice in many fields, and causing to feel the self weak and helpless. Political alienation
which may emerge as a result of this othering may deepen the representation crisis which
liberal democracy is in on the contrary to the assumption that e-state would increase
participation.
References
Atkinson, Robert D. veUlevich, Jacob. (2000). Digital Government: The Next Step to
Reengineering the Federal Government. Progressive Policy Institute Technology
&amp; New Economy Project.www.ppionline.org/documents/DigitalGov.pdf, 5. date
of access: 12.02.2013.
DeBenedictis, Andrea, Howell, Whitney, Figueroa, Robert ve Roy A. Boggs. (2002). EGovernment Defined: An Overview Of The Next Big Information Technology
Challenge. Issues in Information Systems. IACIS 3, 130-136.
Erdal, Murat (2004). E-Devlet - E-TürkiyeveKurumsalDönüşüm. İstanbul: FilizKitabevi.

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�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

Evans, Donna ve Yen, David C. (2006). E-Government: Evolving Relationship Of Citizens
and Government, Domestic, And International Development. Government
Information Quarterly. 23, 207-235.
Fountain, Jane E. (2001).Building The Virtual State: Information Technology and
Institutional Change. Washington D.C.: Booking Institutional Press.
Gıddens, Anthony. (2008).UlusDevletveŞiddet, (Çev.CumhurAtay), KalkedonYayınları,
YerBelirtilmemiş
Howard, Mark (2001). E-Government Across the Globe: How Will “e” Change
Government?.Government
Finance
Review,http://www.gfoa.org/downloads
/eGovGFRAug01. Date of access: 10.02.2013.
Kösecik, MuhammetveKarkın, Naci.(2004). BelediyeYöneticilerininveMeclisÜyelerinin
E-devleteBakışıDenizliBelediyesiÖrneği.TürkİdareDergisi, Sayı: 443,119-139.
Laidler, Keith. (2008). Surveillance Unlimited: How We'veBecom the Most Watched
People on Earth, Iconbooks, Cambridge
OECD. (2003). The E-Government Imperative. Paris: OECD Publications Service
Solove, Daniel J. (2007).I've Got Nothing to Hide and Other Misunderstanding of Privacy.
San Diego Law Review, C:44: 745-772.
Tataroğlu,Muhittin.EDevlet'teKullanılanGözetimVeKayıtTeknolojilerininMahremiyetÜzerindeEtkileri.
AbantİzzetBaysalÜniversitesiSosyalBilimlerEnstitüsüDergisi Cilt:2009/1 Sayı :18
S:95-119
United Nations. (2003). World Public Sector Report 2003: E-Government at the
Crossroads. New York, Department of Economic and Social Affairs.
Yüksel, Mehmet. (2003). MahremiyetHakkıveSosyo-TarihselGelişimi, AÜ SBF Dergisi,
C:58/1:181-213
Yılmaz,

Gözde.
(2005).
ElektronikPerformansİzlemeSistemlerininiÇalışanlarveİşletmelerÜzerindekiEtkile
ri. İstanbul TicaretÜniversitesi, SosyalBilimlerDergisi, C: 4/7:1-19.

West, Darrell M. (2004). E-Government and the Transformation of Service Delivery and
Citizen Attitudes.Public Administration Review, 64/ 1: 15-27
Worldbank.(2008). Definition of E-Government, http://go.worldbank.org/M1JHE0Z280,
date of access: 12.02.2013.

6

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                <text>Privacy can be defined as areas which are peculiar to an individual not to public  or society. The concept of privacy is mentioned with the concepts of  confidentiality and security of personal information and private areas. While  the governments create electronic tools and environment to watch and make  observation to provide the citizens more secure and an environment to live, it  might cause an individual’s private area to shrink.  Today records of cameras, signals of mobile phones, records of phone calls  through mobile phones, IP numbers of computers, e-mail tracking systems,  satellite based systems, Google earth applications, GPS applications are the  tools that comes to mind at first which can be used to violate privacy. These  tools can be easily reached. When these tools are used for observation, they  can constrict privacy. Some of the ethical issues that appear are as follows:  Does the government open files on citizens? Do individual privacy and freedom  not exist? Does watching and recording everything citizens do conform to  democracy?  As Michael Faucault mentioned knowing means being strong and ruler ship  keeps information to hold power. Today not only governments but also private  huge corporations gather information and both of them watch citizens. As a  result, individuals face social, psychological security and insecurity problems  caused by these. Because of this individuals and societies should be informed  about these issues and ways to protect individual freedom.  Though governments should develop sensitivity to such issues and regulations  are needed to be done, it is not enough. In this study, as discussed in  democracy theory, we propose that a strong government which is furnished  with information might always cause a threat to individual freedom. In  addition, contrary to liberal democracy that huge corporations threaten  democracy by interfering individuals’ privacy will be examined. We suggest  that it is necessary to establish and increase the efficiency of an independent  “Information Conservation and Auditing Authority”.  Keywords: Electronic Government, Privacy, Information Conservation,  Auditing Authority.</text>
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