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

A Research of Burnout Levels on Vocational School
Students
Hakan Çetin
Akdeniz University, Antalya, Turkey
hakanc@akdeniz.edu.tr
Osman Nuri Demirel
Akdeniz University, Antalya, Turkey
onuridemirel@mynet.com
Yusuf Yılmaz
Akdeniz University, Antalya, Turkey
yusufyilmaz@akdeniz.edu.tr
Sebahattin Taş
Akdeniz University, Antalya, Turkey
yusufyilmaz@akdeniz.edu.tr
Engin Üngüren
Akdeniz University, Antalya, Turkey
enginunguren@akdeniz.edu.tr
In the present study, the burn-out level of the students Vocational School
of Social Sciences at Akdeniz University was determined and also the
relation of some demographic variables with burn-out level was
investigated. 376 students participated in the study. As data collection
instruments, Burnout Measure (BM) developed by Pines and Aronson
(1988) and demographic information form were used. The data collected
from the sample were subjected to descriptive statistics and inferential
statistics. The results were firstly tabulated using frequency and
percentages. Later, independent t-test was used in order to examine two
group differences while analysis of variance (ANOVA) was used to compare
the means scores of more than two groups. For the pair-wise comparison,
Post hoc with LSD was utilized to assess the source of significance.
Keywords: Pines and Aronson Burnout Measure, Burnout Level, Burnout,
Vocational School Students, Management

140

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                <text>CETIN, Hakan
NURI DEMIREL, Osman
YILMAZ, Yusuf
TAS, Sebahattin
Unguren, Engin</text>
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                <text>In the present study, the burn-out level of the students Vocational School  of Social Sciences at Akdeniz University was determined and also the  relation of some demographic variables with burn-out level was  investigated. 376 students participated in the study. As data collection  instruments, Burnout Measure (BM) developed by Pines and Aronson  (1988) and demographic information form were used. The data collected  from the sample were subjected to descriptive statistics and inferential  statistics. The results were firstly tabulated using frequency and  percentages. Later, independent t-test was used in order to examine two  group differences while analysis of variance (ANOVA) was used to compare  the means scores of more than two groups. For the pair-wise comparison,  Post hoc with LSD was utilized to assess the source of significance.  Keywords: Pines and Aronson Burnout Measure, Burnout Level, Burnout,  Vocational School Students, Management</text>
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                    <text>International Conference on Economic and Social Studies, 10-11 May, 2013, Sarajevo

A Research on Beck Hopelessness Scale of the Students
in Vocational School of Higher Education
Sebahattin Taş
Akdeniz University, Antalya, Turkey
Yusuf Yılmaz
Akdeniz University, Antalya, Turkey
yusufyilmaz@akdeniz.edu.tr
Osman Nuri Demirel
Akdeniz University, Antalya, Turkey
onuridemirel@mynet.com
Hakan Çetin
Akdeniz University, Antalya, Turkey
hakanc@akdeniz.edu.tr
Engin Üngüren
Akdeniz University, Antalya, Turkey
enginunguren@akdeniz.edu.tr
In this research, it has been investigated the hopelessness levels of
students who study at Akdeniz University Vocational School of Social
Sciences and whether some demographic variables affect the hopelessness
levels of students. 376 students have participated in the research. Beck
Hopelessness Scale (BDS) and a personal questionnaire have been utilized
in data collection. According to the characteristics of the study group,
descriptive frequency and percentage tables of the variables collected by
the data collection tools have been created. To investigate the differences
between two groups Independent Sample T Test, to compare more than
two groups, one-way ANOVA have been applied. To determine which
group causes the obtained difference, LSD test from post hoc analysis has
been applied.
Keywords: Beck Hopelessness Scale, Hopelessness Level, Hopelessness,
Vocational School Students, Management.

249

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YILMAZ, Yusuf
NURI DEMIREL, Osman
CETIN, Hakan
Unguren, Engin</text>
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                <text>In this research, it has been investigated the hopelessness levels of  students who study at Akdeniz University Vocational School of Social  Sciences and whether some demographic variables affect the hopelessness  levels of students. 376 students have participated in the research. Beck  Hopelessness Scale (BDS) and a personal questionnaire have been utilized  in data collection. According to the characteristics of the study group,  descriptive frequency and percentage tables of the variables collected by  the data collection tools have been created. To investigate the differences  between two groups Independent Sample T Test, to compare more than  two groups, one-way ANOVA have been applied. To determine which  group causes the obtained difference, LSD test from post hoc analysis has  been applied.  Keywords: Beck Hopelessness Scale, Hopelessness Level, Hopelessness,  Vocational School Students, Management.</text>
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                    <text>2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

A Research On Consumer Ethnocentrism and Consumer Boycotts
HurĢit Ertuğrul DERE
Afyon Kocatepe University
Sultandağı Vocational School
Turkey
hursitdere@yahoo.com

Abstract: The objective of this study is to investigate the consumer ethnocentric tendency and
consumer boycotts. Participiants who are consumers upper 18 age in 8 different cities of Turkey
formed the sample for this study. For the emprical investigation consumer ethnocentric tendency
and a new improved consumer boycott scales were used. Data collected were analyzed by using
Anova, t-test and descriptive statistical techniques. Considerable findings in the matter of
understanding consumer ethnocentric tendency and consumer boycot in Turkey market.End of this
study it is found that significiant relationship between age and consumer ethnocentric tendency
and significiant relationship between marriage status and consumer boycot tendency.
Keywords: Consumer ethnocentrism, Consumer boycott behaviour, CETSCALE

Introduction
The aim of this study is to examine the correlation between the ethnocentric tendencies of the consumers and
consumer boycott behavior. Consumer ethnocentrism provides emotional perception of the consumers towards
national goods. On the other hand, it is seen that even ethnocentric consumers prefer the cheaper goods even if they
are foreign originated ones when they are comparing the goods in terms of prices which is a rational qualification.
Today, the increase of the competition, transformation of the world into a common market by transportation
and information technologies, and the encountered economical difficulties have
made the consumers more
conscious and caring more about rational factors compared to old days. In fact, even consumer boycotts that are
mostly done with emotional base don‘t last long because of the rational factors. Consumers end the boycott for the
brand, good, or the country when they realize that they will get the maximum benefit from these goods. Although
national goods which are bought as a substitution to the foreign ones, reach a high number of sales income during the
boycott, they have dramatical decreases of sales income when the boycott ends. National manufacturers can have a
constantly increasing sales income if they focus on the issues such as quality development and basing the market,
rather than taking advantage of the cases like these.

Consumer Ethnocentrism
The concept of ethnocentrism means the tendency of the individuals to see their groups as the center of the
universe and judging of the other groups that have cultural differences and blindly acceptance of the groups that are
similar. In this context, the symbols and values of their own group are seen as a resource of pride while the values of
the other groups are scorned. As a result of relating ethnocentrism with the consumer behaviors, the consumer
ethnocentrism has appeared. In general concept, consumer ethnocentrism expresses the effects of consumers‘
national emotions on purchasing intentions. ( Uzkurt &amp; Özmen,2004).
Many scientific researches, mostly foreign, have been conducted about consumer ethnocentrism recently.
In the research which was conducted in 2004 in EskiĢehir by Uzkurt and Özmen, data was obtained by
interviewing the customers who were chosen using convenience sampling method. Analysis has been conducted over
172 surveys in total. As a result of the analysis, the old compared to the young, ones with a lower education level
compared to the higher ones, ones who have lower income compared to the higher ones and married people
compared to the bachelors have higher ethnocentric tendencies.
In the research which is conducted by Güneren and Öztüre (2005) in Cyprus using CETSCALE ( Consumer
Ethnocentric Tendencies Scale), data is obtained from the survey applied to 114 people who were chosen with
convenience sampling method. As a result of the survey, the participants with a high level of ethnocentrism were

455

�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

mostly amongst women, people with lower education level and lower income. No remarkable correlation has been
seen with the age of the participants and ethnocentrism.
In the research which was conducted by Orth and Firbasova in 2002 in Brno, the second biggest city of the
Czech Republic, and which was on ethnocentrism and yoghurts produced in Czech Republic, data was obtained
using a survey applied to 297 people who were randomly chosen and four different correlation model were formed.
As a result of the analysis it has been seen that, old consumers who have a high level of ethnocentric tendency, like
Czech yoghurts more than the young costumers who have a lower level of ethnocentric tendency. It makes it hard to
generalize the research that the number of the participants is low and it was only about yoghurt.
Fang Liu and others examined the correlation between the brand names from different languages and
customers‘ ethnocentric tendencies in 2007 in Guangzhou, the capital city of Guandog state in China. As a result of
the research it has been found that there is a remarkable correlation between the ethnocentric tendencies of the
customers and their ages and education levels.
In the research that was conducted by Chakrabarty and Conrad in 1995, a survey was applied on the phone
to 315 people who were chosen randomly. It has been found that ethnocentric tendencies decrease for good quality
products.

Consumer Boycotts
The tendencies of consumers on not buying a brand or none of the brands of a country is called consumer
boycott (Balıkçıoğlu and others, 2008). Consumer boycotts can be divided into various kinds considering the
duration, scope, organization type and reasons to do.
However, it is very difficult to consider a boycott in one class. For example, a boycott that is started because
of political reasons may last for a long time or in contrast it may last for a short time.
According to Balıkçıoğlu and others‘ statements, Friedman (1999) and Smith (2000) divide the consumer
boycotts into four considering their functions. These are: instrumental, expressive, punitive and buycott.
When boycotts in Turkey are examined, it is seen that products of Denmark were boycotted as the last one.
As a result of the publication of Hz. Mohammed‘s cartoons one after the other negatively, not only in Turkey but
also in the whole Islamic World they had confronted with enormous reaction and a boycott towards Danish products
was started. However, the very little trading volume between Turkey and Denmark was resulted this boycott not to
be so effective. Besides this boycott which was done as a result of religious exploitation, Italy and France were
boycotted because of political reasons and enterprises in the public towards boycotting the products of these
countries were started. Just like it was in Denmark sample, the little trading volume between Turkey and these two
countries and employment of thousands of Turkish citizens in Italian and French originated corporations in Turkey
with their national partners resulted these two boycott enterprises to fail.
Besides country boycotts also brand boycotts have been made. Especially in 2005, an organized boycott on
the Internet was started against Danone that is one of the biggest food companies, with messages distributed on the
Internet telling that additional substances that cause mental deficiencies are used in the child-oriented products of
this company and these statements caused dramatical decreases in the sales of the company.
Danone firm, that had great damage because of this case, has started legal process for the responsible ones
who distributed these messages on the Internet and for the next marketing works focused on the message that its
products include no additional substances that may damage human health transmitting it in various medias.

Research Method
In the research data is obtained using a survey. Surveys were applied to consumers who live in eight
different cities by interviewing them. 900 survey copies for consumers who live in 8 different cities were prepared
and 514 of them returned, thus the analysis has been made using these 514 survey copies. The distribution of the
participants according to the cities is given below.

456

�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

Province
Ġstanbul
Ankara
Ġzmir
Adana
Afyonkarahisar
Konya
Samsun
Gaziantep

Frequency
98
99
85
71
63
49
20
29

%
19.1
19.3
16.5
13.8
12.3
9.5
3.9
5.6

Table 1: The Distribution of the Participants According to the Cities
The survey used in the research has four parts. In the first part the participant‘s city, his/her attitude related
to consumer behaviors and if he/she is a member of any kind of consumer organization or not are asked. In the
second part basing on the February 2008 data of Turkish Statistical Institute (TSI) ten countries are given from
which Turkey imported goods and the participants are asked to state their attitude towards these countries. In this
part a fivefold likert scale has been used and attitudes are listed from (1) the country from which I can buy products
with peace of mind, to (5) the country which must be boycotted the most.
In the third part, five scales, which are in ―I certainly agree‖ and ―I certainly disagree‖ interval, are given for
19 attitude items that are prepared in accordance with likert scale. Six of these items are taken from CESTSCALE
which was developed by Shimp ve Sharma (1987). 10 items are related to consumer boycott and final 3 items are
asked in order to find out the attitudes of the consumers towards foreign goods and EU.
In the fourth part the demographic features of the participants have been tried to evaluate. In addition, it has
been asked the participants how do they defined themselves and whether they had any foreign product on at the
moment when the survey was being applied.

Research Findings
Demographic Structure of the Participants
64.6 % of the participants are male and 31.3 % of the participants a female. According to the 2008 TSI data
male-female rationale is equal in total population but it has been a limit of the study that female rationale is less than
male one. Besides according to the 2007 TSI data, the ratio of the university graduates to the total population is C
(vocational schools+faculties+masters degree and Phd) about 10%. In the sample the rato of the university graduates
is 39.7%. This situation is the other limit of the research.

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�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

Demographic Structure
Gender
Male
Female
Marital Status
Married
Single
Widow-divorced
Education
Primary education
High education
University
Age
18-24
25-31
32-40
40-50
51-60
Over 60
Income (YTL)
Below 580
581-800
801-1200
1201-2000
Over 2000 YTL
Occupation
Officer
Laboring
Tradesman
Retired
Self-employed
Housewife
Student

Frequency

Current %

332
161

66,7
32,3

292
190
14

58.9
38.3
2.8

79
221
204

15.7
43.8
40.5

138
102
121
89
43
6

27.7
20.4
24.2
17.8
8.6
1.2

107
84
136
71
42

24.2
19
30.8
16.1
9.5

95
120
72
33
33
21
81

20.9
26.4
15.8
7.3
7.3
4.6
17.8

Table 2: Demographic Structure of the Participants
The World View of the Participants
At the end of the survey it has been asked the participants how they defined themselves and to choose one
option out of six ones. 37% of the participants have defined themselves as patriots.
View
Leftist
Social Democrat
Conservative
Religious
Nationalist
Liberal
None

Frequency
40
92
59
59
183
36
23

%
8.1
18.7
12
12
37.2
7.3
4.6

Table 3: The World View of the Participants.

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�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

67% of the participants have stated that they had foreign products on at the moment of replying the survey.
It has been found out that the most common foreign product that the participants have on is the mobile phone.
Research Findings About Consumer Boycott Behavior
46.5 % of the participants have stated that they had boycotted a country or a brand.
In table 4 that is given below, the product groups that the consumers had boycotted are shown. As a result
of the analysis it has seen that the product group which is boycotted the most is food group with a ratio of 44.7 % and
the least is medical group with a ratio of 2.5%.
Product Group
Food
Confection-textile
Automative
Personal care products
Cleaning products
Whiteware
Newspaper-magazine
Furniture-carpet-home products
Banking-insurance group
Medical Group

Frequency
106
36
21
16
11
13
11
9
8
6

Current %
44.7
15.2
8.9
6.8
4.6
5.5
4.6
3.8
3.4
2.5

Table 4: Boycotted Product Groups.
When the boycott durations are analyzed, 61.3 of the participants have stated that they have been still going
on with the consumer boycotts.
Boycott duration
Below 3 mounths
3-6 mounths
6-12 mounths
1-2 years
Over 2 years
Still going on

Frequency
25
25
19
14
8
144

Current %
10.6
10.6
8.1
6
3.4
61.3

Table 5: Boycott Duration
Boycotted Countries and Brands
With a ratio of 35.7% it has been found out that mostly boycotted country is USA and 39% of the
participants believe USA to be boycotted constantly. Five of the participants have stated that they boycott Turkey.

459

�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

Country
U.S.A
France
Israel
Italy
China
Russia
England
Denmark
Netherland
Germany
Iran
Turkey
Sweden
Japan

Frequency
74
38
28
16
13
1
4
16
12
6
1
5
1
2

Current %
35.7
18.4
13.5
7.7
6.3
0.5
1.9
7.7
1
2.9
0.5
2.4
0.5
1

Table 6: The Boycotted Countries
It has been found out that the participants boycott 41 different brands. According to the results of the
analysis mostly boycotted brand is Coca-Cola. As Coca-Cola is a food company that belongs to the USA, it is seen
that research findings about the boycotted product group, country and brand are consistent. It has been found out that
11different Turkish brands are boycotted by the participants.

460

�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

Brand
Coca-Cola
Ariel
Danone
Mc Donalds
Nestle
Nescafe
Rodi
Motorola
Gucci
Ġpek shampoo
Colgate
Bosche
Benetton
Newspaper of Turkey
Ülker
Rosche
Profilo
Adidas
Pınarsüt
Fruko
Leke
Knorr
Converse
Amway
Telefunken
Vestel
Ġstikbal
Avon
Beta
Leman
Newsweek
Peugeot
Renault
Ford
Fiat
Scharzkopf
Siemens
Ġpana
Philips
Toyota
Loreal Paris

Frequency
49
10
5
3
7
2
1
5
1
1
1
1
3
1
1
5
1
1
1
1
2
1
1
2
3
1
1
2
3
1
1
1
4
1
1
2
1
2
1
1
1

Current %
36.6
7.5
3.7
2.2
5.2
1.5
0.7
3.7
0.7
0.7
0.7
0.7
2.2
0.7
0.7
3.7
0.7
0.7
0.7
0.7
1.5
0.7
0.7
1.5
2.2
0.7
0.7
1.5
2.2
0.7
0.7
0.7
3
0.7
0.7
1.5
0.7
1.5
0.7
0.7
0.7

Table 7. The Boycotted Brands
34.3 % of the participants have stated that they bought a product again later which once they had boycotted.
16.1 % of the participants have replied the question. The reasons of the re-purchasing these products are shown in
Table 8.

461

�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

Reasons for Repurchasing
Quality
Chepness
Obligation
Reason of the boycott
disappeared

was

Frequency
18
12
43
10

Current %
21.7
14.5
51.8
12

Table 8: Consumers Reasons for Repurchasing The Brands That They Boycotted.
More than half of the participants who have replied to the question have stated that they re-purchased the
products that they once boycotted because they had to do it. 21.7 of the participants have re-purchased the products
because of its good quality.
The attitudes of the participants towards ten countries from which Turkey had imported goods according to
the February 2008 data of TSI have been evaluated. A fivefold scale has been used starting from the country from
which you can buy goods in peace of mind (1) to the country that must be boycotted the most (5) In table 9 attitudes
of the participants towards these ten countries are shown.
Countries

The counrty
which shoul
be boycotted
most (%)

The counrty
which should
be boycotted
(%)

Russia
Germany
China
Italy
U.S.A.
France
England
Switzerland
Ukrain
Iran

9.7
8
35.6
10.9
55.6
42.8
28.8
12.5
5.4
10.5

17,3
13.6
24.7
22
24.5
26.1
19.8
11.5
8.4
5.1

The country
which
doesn‘t need
to
be
boycotted
(%)
27
28
15.6
27.4
7
11.9
19.5
30.5
35
29.4

The country
which should
be
cooperated
(%)
27
23.2
10.9
14.2
4.5
6.4
12.5
17.5
22.8
30.5

The country
which we get
their
products with
peace
of
mind (%)
3.5
13.6
1.8
3.5
1.9
1.6
2.7
7.2
5.8
8.6

The
participants
that have no
informed
(%)
15.4
13.6
11.5
22
6.4
11.3
16.7
20.6
22.6
16

Table 9: View of the Participants About Ten Selected Countries
Only 1.8 % of the participants have been a member of any kind of a consumer organization.
Evaluation results about the 19 items which are located in the third part of the research and which are
prepared using a fivefold likert scale about the attitudes of the participants towards consumer boycotts are given in
Table 10.

462

�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

Statement
1. Domestic products should be taken at any time instead of
imported products.
2. The products not only in our country should be imported.
3. Foreign products should‘nt be bought because this will cause
unemployment.
4. I prefer to support my country‘s product, even if the cost
burden to me.
5. Access of the foreign products to Turkish market should be
complicated
6. Consumer boycotts are effective on companies.
7. Local businesses organizate the boycotts that against to the
foreign products.
8. Media orientate the consumer boycotts.
9. I boycott the products of companies which exploited my
religious beliefs.
10. I boycott the products of companies which damaged my
country‘s political interest.
11. People around me effect met to do consumer boycott.
12. I boycott the products with my own volition.
13. I never purchase a product of a country or firm which I
boycotted before.
14. I try to orientate the other consumers to boycott.
15. Boycott is an individual reaction against the negative
bahaviour.
16. Importation sholud be prevented because it is a big threat
for domestic production.
17. Quality product should been in my country even if it is
foreigner
18. I believe that EU membership would be useful for our
country.
19. Imported products increases our quality of life.

Mean
4.18

S.D.
1.03

3.94
3.64

1.03
1.14

3.72

1.15

3.71

1.07

3.73
3.26

0.92
0.92

4.01

0.87

4.19
4.33

0.99
0.89

2.35
4.04

1.15
1.61

3.85
3.57

1.02
1.1

3.96

0.94

3.97

1.02

3.49

1.12

3.35

1.34

2.82

1.24

Table 10: Average Values Related to the Participants‘ Ethnocentric Tendencies and Consumer Boycott
Behaviors
The correlation between the demographic characteristics of the participants and consumer ethnocentric and
consumer boycott behaviors has been examined. T-test and variance analysis results are separately given in Table 11
and Table 12.
Demographic
Structure
Gender
Age
Marital status
Income

Calculated Value
14.684
2.297
0.601
2.548

Significicance
Level
0.188 (t)
0.048
0.549
0.02

(P= 0,05)

Table 11: The Examination of the Correlation Between Ethnocentric Tendencies and Demographic Features of the
Participants

463

�2nd International Symposium on Sustainable Development, June 8-9 2010, Sarajevo

As a result of the T-test it has seen that ethnocentric tendencies don‘t change according to the gender. As a
result of the variance analysis no remarkable correlation is found between the consumer ethnocentric tendencies and
marital status. Besides that it is seen that consumer ethnocentric tendencies differ according to age and marital status.
Demographic
Structure
Gender
Age
Marital status
Income

Calculated Value
1.073
0.843
3.076
0.676

Significicance
Level
0.451
0.519
0.047
0.669

(P= 0,05)

Table 12: The Examination of the Correlation Between Consumer Boycott Behavior of the Participants and Their
Demographic Features.
In the result of the T-test it has been found out that consumer boycott behaviors tendencies don‘t differ
according to the gender. In the results of variance analysis it has been found out that consumer boycott behavior
tendencies differ according to the marital status. In addition to that it has been found out that consumer boycott
behavior tendencies don‘t differ according to the age and income.

Conclusion and the Limits of the Research
Inadequate quantity of the sample group and because available sample group doesn‘t reflect the
demographic features of the main group prevent the research results from generalization. Another limit of the
research is because of the disparity of the number of the participants from 8 different cities compared to the number
of each city‘s population.
As a result of the T-test it has been found out that consumer ethnocentric tendencies don‘t differ according
to the gender. As a result of the variance analysis no remarkable correlation has been found out between consumer
ethnocentric tendencies and consumer marital status. However, it has been found out that consumer ethnocentric
tendencies change according to the age and income.
As a result of the research, the upper location of the countries and brands that are mostly boycotted in the
list in terms of Turkey‘s exporting volume and intensifying of consumer boycotts in especially some definite
countries and brands can be subjects of future researches.

References
Balıkçıoğlu, B., Koçak, A., Özer, A.(2008). Process of indirect consumer boycott as a non-violence movement and evolvations
for Turkey. Journal of Faculty of Politic Sciences of Ankara University, 63(2), 79-100
Güneren, E.&amp; Öztüren, A. (2005). A Pilot Survey on Effect of Consumer Ethnocentric Tendencies to Buying Trend of Domestic
and Foreign Products of TRNC Citizens. 10th Marketing Congress, 2005, 169-188
Lui F., Murphy, J., Li, J., Liu, X. (2007). English and Chinese? The role consumer ethnocentrism and country of Chinese attitudes
towards store sings. Australasian Marketing Journal, 14(2), 5-13
Orthu, R. &amp; Firbasova, Z.(2002). Ethnocentrism and Consumer Evaluations of Czech Made Yoghurt. Agric. Econ.48(4),175-181
Turkish Statistical
(10.05.2008)

Institute.(2008).

National

Data

Release

Calendar.

http://www.tuik.gov.tr/PreTablo.do?tb

id=11.

Uzkurt, C. &amp; Özmen, M. (2004). The Effects of Consumer Ethnocentrism and Country-origin to Consumer Attitudes of Domestic
and Foreign Products. Proceedings Books. Faculty of Administrative and Economic Sciences of Gazi University, 2004, 261-274

464

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                <text>The objective of this study is to investigate the consumer ethnocentric tendency and  consumer boycotts. Participiants who are consumers upper 18 age in 8 different cities of Turkey  formed the sample for this study. For the emprical investigation consumer ethnocentric tendency  and a new improved consumer boycott scales were used. Data collected were analyzed by using  Anova, t-test and descriptive statistical techniques. Considerable findings in the matter of  understanding consumer ethnocentric tendency and consumer boycot in Turkey market.End of this  study it is found that significiant relationship between age and consumer ethnocentric tendency  and significiant relationship between marriage status and consumer boycot tendency.</text>
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                    <text>A Research on Heavy Metal Statues in Some Pasture Soil of Antalya
Cengiz ERDURMUŞ
Batı Akdeniz Agricultural Research Institute, Antalya
Semiha ÇEÇEN
Batı Akdeniz Agricultural Research Institute, Antalya
cecen@hotmail.com
Sadık ÇAKMAKÇI
Akdeniz University Faculty of Agriculture Field Crops Department, Antalya
Ramazan TOKER
Batı Akdeniz Agricultural Research Institute, Antalya
Abstract: Meadow and pasture resources fulfill many important tasks, besides feature of
being a source of feed for livestock production. Being natural balance element, erosion
prevention, clean water, air and food production and protection of genetic resources of
many plant and livestock organism can be accepted among these.
Because of rapidly growing urbanization, industrialization and tourism, meadow and
pasture resources in the Mediterranean region have been polluted with different pollutants.
In this study, soil pollution research was done in pastures near intensive industry and
tourism region of Antalya. Concentration of Cd, Cr, Cu, Ni, Pb, Zn and Hg elements were
analyzed in 12 samples from 3 different pastures as 4 samples from each one.
Results showed us that the concentration of Ni was higher than the limits written in Turkey
Soil Pollution Control Regulation. The other concentrations are lower than the limits
written in Regulation. This study is a precursor study which shows the needs of other
detailed study.
Key words: Pasture, Soil, Heavy metal

Introduction
Meadow and pasture are being one of the important natural richness of a country (Altin et al., 2005). According
to last evaluations, nearly half of the land of the earth is taken in to pasture concept and these areas have been
accepted as valuable part of the nature and they should be protected as tropic forest (Avcioglu, 1999). Meadow
and pastures have important tasks such as protection of soil, protection of genetic resources and using as
livestock feed (Avcioglu, 1983). It is known that increasing with industrial activity, energy production,
transportation and urbanization is caused to environmental pollution. Environmental pollutants are dangerous to
human health, plants and other goods (Hodges, 1977; Biggins and Harrison, 1980).
The most negative effect of pollutants is carrying heavy metals which are toxic and carcinogenic (Lagerwer and
Specth, 1970; Linton et al., 1980; Biggins and Harrison, 1980; Sakai et al., 1988). Pb, Cd and Ni pollution are
more common in urban areas than rural areas because they are caused by industrial sources. Normally Pb and Cd
are not found in plants. Whether if they are found trace amount in plants, it is accepted as a sign of pollutions
(Foy et al., 1978). Heavy metals such as Pb, Cd, Ni, Cr are toxic for human and animals (Lagerwerff et al Specth,
1970; Linton et al., 1980). These toxic heavy metals are spread out to environment by industrial activities and
emissions of motor vehicles (Biggins and Harrison, 1980; Miller and McFee, 1983; Chow, 1970).
Antalya is one of the provinces which has highest emigration rate in Turkey. This emigration causes to
industrialization. In this study, soil pollution of 3 selected pastures which have great role as livestock feed source
and near to urban and industry areas.

566

�Material and Method
Ooil samples were taken from 4 stations of each 3 pastures, totally 12 stations. Each sample was formed by
mixing 5 samples taken from 100 m2 representative areas of pasture. Samples were taken from 10 cm depth.
Analyses were carried out at Atmosfer Agriculture Analysis Laboratory.
Soil samples were prepared to analyses by sieving them through 2 mm sieves after making them as air dry at
laboratory conditions (Jackson, 1967). In soil samples, structure analysis were done by hydrometric method
(Bouyoucos, 1962), and water soluble total salt content were done by measuring electricity resistant in sature soil
priming (U.S. Soil Survey Staff, 1951). Amount of CaCO were analysed by Scheibler calcimeter (Schlichting
3

ve Blume, 1966), organic materials were analyzed by crossing organic C percentage, which were evaluated by
fresh burning method, with 1.724 factor (Reuterberg and Kremkus, 1951), total N was analyzed by modified
macro Kjeldahl method (Bremner, 1965).
In soil and ash samples, content of some trace elements (Fe, Zn, Mn, Cu, Cd, Co, Cr, Ni, Pb) and heavy metals,
which were extracted in aqua regia (HNO +HCl), were analyzed at ICP-OES after extraction by aqua regia
3

extraction methods.

Result and Discussion
Analysis results of researched pasture soil are given in Table 1, contents of some useful macro and micro
nutrition elements are given in Table 2, results of some heavy metals are given in Table 3, changing of pollutant
heavy metals according to each station are shown in Figure 1. Pb content of soil is changed from 1.8 ppm to
13.16 ppm. The lowest Pb content of soil is at the Aşağıoba 3 and the highest one is at the Yağca 1 (Table 3).
According to values which were given by Kloke (1980) that shows the Pb pollution of soil (100 ppm), it can be
said that there is no Pb pollution at the researched soils (Figure 1).
Nickel contents of soils are changed between 12.76 ppm and 78.25 ppm. The lowest nickel level belongs to
Aşağıoba 4 soils and the highest one is belong to Kovanlık 2 (Table 3). According to values which were given by
Kloke (1980) that shows the Pb pollution of soil (50 ppm), some researched soil samples nickel contents are
higher than Klokes’s data. They are also higher that the limits (75 ppm) written in the Turkey Soil Pollution
Control Regulation (Figure 1). But according to Regulation, analysis results can be exceeded to this limit, if it is
proven scientifically, that they are not dangerous for human and environment at the feed crop cultivated areas.
Cupper contents of soils are changed between 0.7 ppm and 27.63 ppm. The lowest cupper level belongs to
Yağca 4 soils and the highest one is belong to Yağca 2 (Table 3). According to values written in the Turkey Soil
Pollution Control Regulation (140 ppm) there is cupper pollution at the researched soils (Figure 1).
Station

pH

Aşağıoba 1
Aşağıoba 2
Aşağıoba 3
Aşağıoba 4
Kovanlık 1
Kovanlık 2
Kovanlık 3
Kovanlık 4
Yağca 1
Yağca 2
Yağca 3
Yağca 4

6,1
5,4
6,1
6,4
8,1
7,9
7,9
7,9
7,8
7,6
7,7
7,3

Total Nitrogen
EC
CaCO3 Organic materials
(%)
(%)
(N), %
(mmos/cm)
0,7
2,0
0,9
0,10
0,7
2,0
1,6
0,14
0,9
2,0
1,0
0,12
1,0
2,0
1,5
0,10
1,6
16,0
2,7
0,15
1,4
10,0
2,5
0,14
1,3
8,0
2,3
0,13
1,2
9,0
2,3
0,14
1,7
6,0
4,4
0,27
1,6
3,0
3,9
0,23
1,2
5,0
4,6
0,35
0,4
2,0
4,6
0,25
Table 1. Some soil properties of research area

567

Structure
%
31
36
35
40
64
63
59
63
66
57
65
63

�.
Station
Aşağıoba 1
Aşağıoba 2
Aşağıoba 3
Aşağıoba 4
Kovanlık 1
Kovanlık 2
Kovanlık 3
Kovanlık 4
Yağca 1
Yağca 2
Yağca 3
Yağca 4

P 2O 5
(kg/da)
2,15
6,14
5,95
4,08
2,15
0,82
1,88
1,60
42,73
3,25
31,24
8,34

K 2O
(kg/da)
21,02
32,40
56,64
33,60
41,04
37,44
37,68
40,80
158,16
188,16
206,40
262,56

Ca
(ppm)
1559
2250
2492
3255
7310
7518
6301
7436
7813
7975
7485
6874

Mg
(ppm)
249,00
348,00
366,00
417,00
367,00
468,00
339,00
416,00
358,00
383,00
330,00
434,00

Fe
(ppm)
32,4
71,4
33,8
11,8
0,7
1,2
0,6
0,6
1,0
1,5
0,2
1,5

Mn
(ppm)
35,78
55,74
29,19
34,93
0,39
0,08
0,44
0,04
0,04
3,88
2,84
2,94

Zn
(ppm)
0,24
0,01
0,24
0,42
0,68
0,74
0,68
0,53
0,53
6,20
1,53
6,90

Cu
(ppm)
0,87
1,62
1,28
1,69
1,76
1,24
1,20
1,72
1,66
1,19
0,39
2,43

Table 2. Some useful macro and micro nutrition elements in soil samples

Pasture

Aşağıoba

Kovanlık

Yağca

No
1
2
3
4
1
2
3
4
1
2
3
4

Cu
14.34
11.83
7.08
6.02
16.64
17.13
16.00
13.42
15.78
27.63
5.97
0.70

Ni
28.62
27.81
18.65
12.76
59.65
78.25
58.11
27.11
70.5
60.75
45.54
17.29

Heavy metals (ppm)
Pb
Zn
Bor
3.42
5.95
5.24
1.8
3.35
5.96
6.19
31.83
6.08
31.01
4.44
27.52
3.34
5.37
13.16
76.85
7.7
147.86
2.73
52.17
33.98
-

Table 3. Some heavy metals contents of soil samples, ppm

568

Hg
-

Cd
-

�Figure 1.Concentration values of polluted heavy metals according to stations
Amount of Zn contents of soils are changed between 3.35 ppm and 147.86 ppm. Aşağıoba 3 has the lowest Zn
level whereas Yağca 2 has the highest one (Table 3). According to values written in the Turkey Soil Pollution
Control Regulation (300 ppm) there is cupper pollution at the researched soils (Figure 1).
In this research, Bor, Cd and Hg, which were analyzed in the soils, were not found.

Results
Four elements (Ni, Pb, Cu, Zn) were found for soil pollution at the 3 pasture near to urban areas and industry
centers. Heavy metal pollution of soil is now at low levels. But if any precaution does not taken, this pollution
level can be increase. For this reason, this initiator research should be considered an than these type of researches
should be replicated periodically (once a 3 or 4 year) and results should be taken in to consideration carefully. If
it is thought, that large part of livestock feed needs are covered from pastures, pastures should be protected from
non-returning soil pollution

Acknowledgment
This paper was supported by the Scientific Research Projects Administration Unit of Akdeniz University.

References
Altın, M., Gökkuş, A., Koç, A., 2005. Çayır Mera Islahı, Çayır-Mera Yem Bitkileri ve Havza Geliştirme Daire Bşk., Mart
Matbaası, Đstanbul.
Avcıoğlu, R., 1999. Çayır Mera Amenajmanı ve Islahı. TBK TÜGEM. Ankara.
Avcıoğlu, R., 1983. Çayır - Mer’a Bitki Topluluklarının Özellikleri ve Đncelenmesi. Ege Üniversitesi Ziraat Fakültesi Yayın
No : 466, Bornova-Đzmir.
Biggins, P.D.E. and Harrison, R.M., 1980. Chemical specification of leaf compounds in street dusts, Env.Sci.Tech.14.
Bouyoucos, G. J., A., 1962. Recalibration of the hydrometer method for making mechanical analysis of the soils, Agronomy
Journal, 4(9) :434.
Bremner, J. M., 1965. Total nitrogen, Editor C.A. Black. Methods of soil analysis part 2. American society of Agronomy. Inc.
Publisher, Madison, Wisconsin, U.S.A 1149-1178.
Chow, T.J., 1970 Lead accumulation in roadside soils and grass Nature London 225, 295.
Foy, C.D., Chaney, R.L. and White, M.C., 1978. Physiology of metal toxicity in plants, Ann. Rev. Plant. Physiol. 29, 511.

569

�Hodges, L.,1977 Environmental Pollution, Holt-Rinehart and Winston, 2nd Ed., 496, New York.
Jackson, M.L., 1967. Soil chemical analysis prentice-Hall of India Private Limited, New Delhi.
Kloke, A., 1980. Orientierungsdaten für Tolerierbare Gesamtgehalte einiger Elemente in Kulturboden Mitt. VDLUFA, H 1-3,
9-11.
Lagerwer_, J.V. and Specth, A.W., 1970. Contamination of roadside soil and vegetation with Cd, Ni, Pb and Zn, Env. Sci.
Tech. 4, 583,
Linton, R.W., Natucsh, D.F.S., Solomon, R.L. and Evans, C.A., 1980 Physicochemical characterization of lead in urban dusts.
A microanalytical approach to lead tracing, Env. Sci. Tech. 14, 158.
Miller, W.P. and McFee, W.W.,1983. Disribution of Cd, Zn, Cu and Pb in soils of industrial Northwestern Indiana, J. Env.
Qual. 12, 29.
Reuterberg , E., Kremkus, F., 1951. Bestimmung von Gesamt Humus und Alkalischen Humusstoffen in Boden. Z.für
Pflanzenernaehrung, Düngung und Bodenkunde, Verlag Chemie Gmbh, Weinheim.
Sakai, H., Sasaki, T.and Saito, K., 1988. Heavy metal concentrations in urban snow as an indicator of air pollutions, The Sci.
of the Total Env. 77, 163.
Schlichting, E.; Blume, H.P., 1966. Bodenkundliches Practicum. Verlag Paul Parey. Hamburg, Berlin.

570

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                <text>Meadow and pasture resources fulfill many important tasks, besides feature of  being a source of feed for livestock production. Being natural balance element, erosion  prevention, clean water, air and food production and protection of genetic resources of  many plant and livestock organism can be accepted among these.  Because of rapidly growing urbanization, industrialization and tourism, meadow and  pasture resources in the Mediterranean region have been polluted with different pollutants.  In this study, soil pollution research was done in pastures near intensive industry and  tourism region of Antalya. Concentration of Cd, Cr, Cu, Ni, Pb, Zn and Hg elements were  analyzed in 12 samples from 3 different pastures as 4 samples from each one.  Results showed us that the concentration of Ni was higher than the limits written in Turkey  Soil Pollution Control Regulation. The other concentrations are lower than the limits  written in Regulation. This study is a precursor study which shows the needs of other  detailed study.</text>
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                    <text>1st International Syposium on Sustainable Development, June 9-10 2009, Sarajevo

A Research on Updating of Anthropometric Measurements
M. Dursun KAY A
Atatürk University,
Vocational College of Erzurum,
Erzurum, Turkey
dursun@atauni.edu.tr
Đsmail MAL K O Ç
Atatürk University,
Department of Anatomy, Faculty of Medicine,
Erzurum, Turkey
imalkoc@atauni.edu.tr
Os man ERD O Ğ A N
Management of National Education,
Erzurum, Turkey
osman124512 @hotmail.com
Aslı KARA
Center of Public Health of Yakutiye,
Erzurum, Turkey
dr.aslikara@hotmail.com
Hakkı YELŞĐYURT
Ministry of Health, Ankara
hyesil62@hotmail.com
Abstract: By considering the dimensional measurements of the students who spend most of
their time at school, the fact that their body and structural equipment haven’t been designed
will affect their body and psychological improvements negatively. Anthropometric
measurements are necessary for education equipment and designs of education-structural
equipment of the children at the age of school.
It is emphasized that anthropometric
measurements of the people living in different climate and altitude conditions in literature will
be different. It is mentioned that anthropometric data available for a certain region will be
able to change in terms of changing socio-economical conditions and therefore, updating of
anthropometric data is necessary in certain in period of times.
For the reason, in 1999 anthropometric data obtained from the children, between the age of
seven and fifteen, who were in sitting and standing position, were measured to plan a
longitudinal study in 2007. In the result of comparison which was made, as reported in
literature, it is clear that anthropometric data will be able to be updated in certain period of
times.
Keywords: anthropometric measurement, primary school students, longitudinal

Introduction
Anthropometric measurements are essentialinthe correct designs of ergonomic business areas. Obtaining
of anthropometric data is very significant in terms of growing and shaping of body posture regularly of the
children who spend most of theirtime sitting in the desks and on the chairs (Jeong and Park, 1990, Floyd, and
Roberts, 1958, Oxford, 1969). The factthatthe chairs and desks were designed appropriately and in a functional
way according to the physical structure of the user made the design of equipment for school significant.
Therefore,itis necessary that different changes and relations among body dimensions should be known (Kayış
&amp; Özok, 1986, Mandal, 1982,).
First of all, Ergonomist’s duty is to determine the features of the product to be used in the design of the
equipment produced with mass production and then isto provide the usage of the objectsincluding fixed things
which will be benefited in the design by anthropometry (Hira, 1980, Floyd &amp; Word, 1969). Firstly, it is
necessary to obtain anthropometric measurements for the design of certain products. It is emphasized that
anthropometric data of the people living in different altitude and climate conditions willbe separate (Yip et
189

�1st International Syposium on Sustainable Development, June 9-10 2009, Sarajevo

al., 1988). Also, itis mentioned that anthropometric data obtained for a certain region will change within the
time in terms of changing socio-economical conditions and therefore, updating of anthropometric measurements
made in the studies before at every five yearsis necessary. In this study, anthropometric measurements obtained
by using Phesant measurements method (Tab. 1)in 1999 were obtained again by using the same method in 2007
and these data compared by updating as Yip and their colleagues suggested (Phesant, 1988).

Variable
Eye Height
Elbow height
Shoulder breadth
Buttock-knee length

Corresponding
measurement in
Pheasant (1988)
Method of Measurement
2
Vertical distance from the floor to the inner canthus (corner) of the eye.
4
Vertical distance from the floor to the radiale
18
Horizontal distance across the shoulders measured between the acromia (bony
points)
13
Horizontal distance from the back of the uncompressed buttock to the front of the
kneecap

Table 1: List of anthropometric variables and methods of measurement.

Material and Method
In this study,in 1999 in Erzurum province,the altitude of which is 2000 meters (medium altitude), 1408
students, 694 of whom are male, and in 2007 1477 students, 732 of whom are male, were included in the
research by stratified sampling method (Kaya et al.,2000a,Kaya et al.,2000b, Kaya et al.,2003). These children
were evaluated with regard to four different anthropometric measurements in both studying periods. These
anthropometric measurements included the height of eye and elbow at standing position,the width of shoulder
and leg and knee distance. Allthe studentsincluded in the study were examined regarding general health control
by pediatrician. Any chronic and systemic cases which will be able to affect anthropometric measurements
weren’t included in the study. The students whose families have monthly incomes above minimum living
conditions according to State Statistics Institute’s economical indications were included in the study in every
both periods (1999 and 2007 years).
Harpenden Anthropometer device was used for allthe measurements. The anthropometer was calibrated
withthe accuracy of 0.05 cm. During the measurements,the children were barefooted and lightly clothed. Allthe
measurements weretaken between 8 and 12 o’clock every in the morning to prevent within day variabilityin the
measurements (Kayis, 1987,Kaya et al., 2003).
The studentsincluded inthe study were divided into groups interms of age and sex in every both periods.
The data obtained were evaluated statistically in both among themselves and among the groups. SPSS statistical
packet programme was used for statistical analysis.

Findings
According to age and sex, description and statistical analyses of anhropometric measurements belonging
to female and male students in 1999’s and 2007’s were shown in (Tab. 2 and 3). According to this it was
determined that anthropometric measurements according to age and sex of cases evaluated in 1999’s and 2007
are increased. Anthropometric measurements obtained in every both periods were compared according to age
and sex. When (Tab. 2) was examined, for example,it was found thatthere was a significant difference among
the heights of elbow values at standing position of male students, 8 years old, in 1999’s and 2007’s (t=-4.29,
p&lt;0.001). While anthropometric measurements of the heights of elbow at standing position of the female
students, 8 years old, was 72.38 ± 4.26 in (Tab. 3) in 1999, it was found to be 74.67 ± 3.02 in 2007 and the
comparison of these two values was quite significant (t=-3.97, p&lt;0.001).In every both periods,the comparison
of anthropometric measurements obtained among their kinds ofthe students at same age of group was shown in
(Tab. 2 and 3).

190

�1st International Syposium on Sustainable Development, June 9-10 2009, Sarajevo

Anthropometric
measurements
Eye Height

Elbow height

Shoulder breadth

Buttock-knee
length

Age
7
8
9
10
11
12
13
14
15
7
8
9
10
11
12
13
14
15
7
8
9
10
11
12
13
14
15
7
8
9
10
11
12
13
14
15

n
71
73
81
76
78
80
81
76
78
71
73
81
76
78
80
81
76
78
71
73
81
76
78
80
81
76
78
71
73
81
76
78
80
81
76
78

1999 Year
Mean ± SD
108.43 ± 4.57
112.52 ± 6.16
118.02 ± 5.55
122.80 ± 5.45
129.87 ± 5.07
134.84 ± 3.63
139.58 ± 4.03
141.98 ± 4.65
145.01 ± 5.07
69.08 ± 3.67
72.38 ± 4.55
76.24 ± 3.97
80.13 ± 3.97
84.65 ± 3.85
88.73 ± 4.36
90.18 ± 3.42
92.39 ± 3.75
94.29 ± 3.73
26.88 ± 1.12
27.62 ± 1.40
28.91 ± 1.51
29.82 ± 1.69
31.26 ± 1.51
32.73 ± 1.67
33.23 ± 1.24
34.52 ±1.43
35.39 ± 1.54
38.97 ± 2.16
40.74 ± 2.49
42.93 ± 2.73
44.76 ± 2.88
47.71 ± 2.60
50.32 ± 2.53
51.33 ± 2.17
52.64 ± 2.79
53.57 ± 2.85

n
74
80
83
82
82
85
82
81
83
74
80
83
82
82
85
82
81
83
74
80
83
82
82
85
82
81
83
74
80
83
82
82
85
82
81
83

2007 Year
Mean ± SD
109.35 ± 4.43
114.82 ± 4.11
120.63 ± 5.85
123.58 ± 5.29
129.76 ± 5.55
135.75 ± 5.13
140.20 ± 5.10
144.87 ± 6.31
145.42 ± 5.20
71.66 ± 3.73
74.99 ± 2.89
79.33 ± 4.22
81.54 ± 3.93
85.72 ± 3.88
89.31 ± 3.42
92.98 ± 4.24
96.56 ± 4.33
94.57 ± 3.86
28.38 ± 2.95
29.18 ± 1.40
30.43 ±2.24
30.98 ± 1.80
32.47 ± 1.77
33.51 ± 1.53
34.51 ± 1.72
35.80 ± 2.67
35.50 ± 1.67
39.26 ± 1.90
41.31 ± 2.08
43.80 ± 2.73
44.87 ± 2.61
47.31 ± 2.74
49.37 ± 2.12
51.29 ± 2.24
51.29 ± 2.79
53.70 ± 2.98

t
-1.23
-2.75 **
-2.93 **
-0.91
0.12
-1.23
-0.82
-3.24 **
-0.49
-4.24 ***
-4.29 ***
-4.82 ***
-2.25 *
-1.74
0.94
-3.92 ***
-6.44 ***
-0.45
-4.02 ***
-6.71 ***
-5.08 ***
-4.12 ***
-4.62 ***
-3.12 **
-5.27 ***
-3.70 ***
-0.42
-0.85
-1.55
-2.04 *
-0.26
0.95
2.62 **
0.13
0.83
-0.27

*: significant at p&lt;0.05, **: significant at p&lt;0.0.1, ***: significant at p&lt;0.001
Table 2: The Comparison of anthropometric measurements of boys in 1999 and 2007

191

�1st International Syposium on Sustainable Development, June 9-10 2009, Sarajevo

Anthropometric
measurements
Eye Height

Elbow height

Shoulder breadth

Buttock-knee
length

Age
7
8
9
10
11
12
13
14
15
7
8
9
10
11
12
13
14
15
7
8
9
10
11
12
13
14
15
7
8
9
10
11
12
13
14
15

n
80
78
82
85
77
85
81
78
68
80
78
82
85
77
85
81
78
68
80
78
82
85
77
85
81
78
68
80
78
82
85
77
85
81
78
68

1999 Year
Mean ± SD
108.66 ± 4.42
112.59 ± 5.91
118.31 ± 5.75
122.45 ± 5.82
128.48 ± 5.22
132.11 ± 5.18
139.84 ± 6.71
144.74 ± 6.84
150.21 ± 7.75
69.17 ± 3.25
72.38 ± 4.26
76.45 ± 4.02
79.57 ± 4.34
84.15 ± 3.93
86.40 ± 4.28
91.53 ± 5.25
94.32 ± 5.04
98.17 ± 5.32
27.30 ± 1.35
28.19 ± 1.39
29.24 ± 1.57
30.17 ± 1.66
31.11 ± 1.49
32.00 ± 1.61
33.92 ± 1.96
34.96 ± 2.14
36.61 ± 2.41
38.77 ± 1.96
40.05 ± 2.61
42.29 ± 2.75
44.32 ± 2.61
46.44 ± 2.43
48.24 ± 2.29
51.19 ± 2.95
52.80 ± 2.26
54.83 ± 2.78

n
78
85
86
76
85
87
83
86
79
78
85
86
76
85
87
83
86
79
78
85
86
76
85
87
83
86
79
78
85
86
76
85
87
83
86
79

2007 Year
Mean ± SD
108.37 ± 4.56
113.75 ± 4.07
119.10 ± 6.60
124.23 ± 6.05
129.63 ± 4.99
133.58 ± 5.23
141.85 ± 5.37
144.54 ± 4.64
151.58 ± 8.09
71.35 ± 3.26
74.67 ± 3.02
78.76 ± 5.62
82.29 ± 4.41
85.59 ± 4.14
88.40 ± 3.81
93.99 ± 3.88
96.39 ± 3.70
98.54 ± 5.64
27.97 ± 1.36
28.78 ± 1.29
29.88 ± 1.93
30.92 ± 1.85
32.33 ± 1.70
32.96 ± 1.47
34.91 ± 1.97
35.63 ± 1.53
36.72 ± 2.31
39.51 ± 2.34
41.48 ± 1.90
43.69 ± 2.71
45.44 ± 2.70
47.60 ± 2.63
49.06 ± 2.32
51.74 ± 3.23
53.14 ± 2.41
54.59 ± 2.69

t
0.39
-1.47
0.82
-1.91
-1.43
-1.69
-1.19
0.20
-0.94
-4.20
-3.97
-3.05
-3.98
-5.22
-2.95
-2.35
-2.73
-0.60
-3.11
-2.79
-2.33
-2.75
-4.79
-3.73
-3.22
-2.11
-0.17
2.16
-4.02
-3.31
-2.72
-2.92
-1.99
-1.12
-0.84
-0.49

***
***
**
***
***
**
*
**
**
**
*
**
***
***
**
*
*
***
**
**
**
*

*: significant at p&lt;0.05, **: significant at p&lt;0.0.1, ***: significant at p&lt;0.001
Table 3: The Comparison of anthropometric measurements of girlsin 1999 and 2007

Discussion
Itis always obvious that updating of the data bank is necessary in terms of checking and following the
students’ growing and developing in a healthy way by determining the dimensions of desks and tables used by
the students who spend most of their daily life at school during teaching and educating period. Although
discussions are available aboutfor how long anthropometric measurements should be updated,the results of our
study reflect the difference of 8 year anthropometric measurements. Yip and their colleagues emphasize that
anthropometric measurements should be updated at every 5 years (Yip et al., 1988). According to the result of
our study, it was determined that there was q significant difference in the comparison of anthropometric
measurements of the same age and kind of group. Although it was considered that changing of climate
conditions, developing of socio and economical conditions and health services, increasing the percent of
individual education level and changing oftheirfeeding habitcaused anthropometric measurementsincrease,the
result of our study showed thatthis period was necessary for updating anthropometric measurements.
However,in spite ofthe factthat statistical difference wasn’tfound among anthropometric measurements
dealing with the height ofthe eye and the distance between the leg and knee at standing position from the point
of all age groups, on the other hand, it was determined that statistical difference was found in terms of the age
and the kind in every both periods withthe regard tothe height ofthe elbow and width of shoulder parameters at
standing position.
As a result, although the results of our study suggestthat anthropometric measurement values during the
childhood should be updated always needed at every ten years, new studies are the children living in different
socio and economic and altitude conditions.
192

�1st International Syposium on Sustainable Development, June 9-10 2009, Sarajevo

Acknowledgments
The authors would like to extend their deep appreciation to Prof. Dr. Behzat ÖZKA N of the Department
of Pediatrics, Faculty of Medicine at Atatürk University,for his suggestions on write-up ofthe study.

References
Floyd, W.F. &amp; Roberts, D.F. (1958). Anatomical and physiological principles in chair and table design. Ergonomics, 2, 1–16
Floyd, W.F. &amp; Word, J.S. (1969). Anthropometric and physiological considerations in school, office and factory seating.
Ergonomics, 12, 132–139
Hira, D.S. (1980). An ergonomic apprasial of educational desks. Ergonomics, 23, 213–221
Jeong, B.Y. &amp; Park, K.S. (1990). Sex differences in anthropometry for school furniture design. Ergonomics, 33(12), 1511–
1521.
Kaya, M.D., Hasiloglu, A.S., Bayramoglu, M., Yesilyurt, H., &amp; Ozok, A.F. (2003). A new approach to estimate
anthropometric measurements by adaptive neuro-fuzzy inference systems (ANFIS). International Journal of Industrial
Ergonomics, 32(2), 105–114.
Kaya, M.D., Yeşilyurt, H., Özkan, B. &amp; Akdağ, R. (2000b). Orta dereceli irtifada (2000 m., Erzurum) yaşayan lise
öğrencilerinin antropometrik ölçümleri, YA/EM’2000 Yöneylem Araştırması ve Endüstri Mühendisliği XXI. Ulusal Kongresi,
12-14 Haziran 2000, Doğu Akdeniz Üniversitesi.
Kaya, M.D., Yeşilyurt, H., Özkan, B., Çapoğlu, Đ. &amp; Akdağ, R. (2000a). Anthropometric measurements in adolescents living
at an intermediate altitude: the relationship between height, weight, head circumference and socioeconomics status, McCabe,
P.T., Hanson, M.A., Robertson, S.A. (Editör), Contemporary Ergonomics 2000, Taylor &amp; Francis Inc., London, 38-43.
Kayış, B. &amp; Özok, A.F. (1986). Đlkokul öğrencilerinin boyutsal ölçülerinin saptanması, TÜBĐTAK, YAE, Rapor no: h128,
Ankara.
Kayış, B. (1987). Đlk eğitim donanımlarının tasarımında antropometrik verilerin önemi, TÜBĐTAK, YAE, Rapor no: a67,
Ankara.
Mandal, A.C. (1982). The correct height of school furniture. Human Factors, 24, 257–269
Oxford, H.W. (1969). Anthropometric data for educational chairs. Ergonomics, 12, 140–161
Pheasant, S. (1988). Bodyspace: Anthropometry, Ergonomics and Design. London, Taylor &amp; Francis; 1988.
Yip, R., Binkin, N.J. &amp; Trowbridge F.L. (1988). Altitude and childhood growth. The Journal of Pediatrics, 113, 486–489.

193

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                    <text>1. International Symposium on Sustainable Development, June 9-10 2009, Sarajevo

A Research Survey on People who has not Fire Insurance
Kamil TAŞKIN
Researcher, The Faculty of Economics and Administrative Sciences,
Sakarya University, Turkey,
ktaskin@sakarya.edu.tr
Recep YILMAZ
Lecturer, Karasu Vacationaly School, Sakarya University, Turkey,
rcyilmaz@sakarya.edu.tr
Fatih Burak GÜMÜŞ
Researcher, The Faculty of Economics and Administrative Sciences,
Sakarya University, Turkey,
fbgumus@sakarya.edu.tr
Abstract: Fire Insurance Usage in Turkey is very small stage now. Turkish people often use
the other insurance types like car, earthquake, and asset. The reasons why this situation has
not been researched up to now. In our study, we prepared a survey which measuring the
reasons of less usage levels of fire insurance. We applied to the survey nearly to 170 people
which not use fire insurance policy. After the survey, we entered the data into spss program.
We applied some tests and we got some results about fire insurance less usage level in
Turkey.
Keywords: Insurance, fire, survey, tests

Introduction:
Real estate investments are a very cost-effective investments for businesses and legal entities. These
costs make up 3 basis. Property of the land value, property value and environment value. In case of sudden
disaster, (fire, earthquake, flood, etc..) land value does not lose its value, but houses will lose their value for the
owner. Housing and office prices are high today, the people who have suffered from damage will force the
resources to bringing back. The insurance sector developed insurance policies to minimize the risk like fire,
accident, earthquake. Today, housing and dwelling fire insurance have been developed in case of the tangible
damage for the property to protect the owners of builts. Although fire insurance based on historical areas, this
type of insurance has not been developed at Turkey. This study focus on the reason why the fire insurance
branch has not been expanded all over the country.

Insurance Sector In World:
In economic terms, insurance refers to the pooling mechanism used to reduce the downside of risk
(Masci and Tejerina; 2006;1).
The insurance industry forms an integral part of the global financial market, with insurance companies
being significant institutional investors. In recent decades, the insurance sector, like other financial services, has
grown in economic importance (Hussels, Ward, Zurbzuegg; 2005, 258-259)
Twenty years ago, banks and insurance companies maximized the size of their balance sheets: banks
accumulated assets in search of a larger market share, and the insurance industry was mostly liability driven.
Recent years, risk has increasingly transferred from banks to nonbank institutions such as insurers, mutual funds,
pension funds and hedge funds ( Hausler; 2004,1).
Insurance sector has been increasing its huge economic and strategical power. In many countries
insurance sector has more improved structure and economic power than banking sector (Ünal,1994,46). At table
1 shows the Premium production of developed countries and turkey. As table 1,developed countries has a huge
percentage in total Premium production. Only USA produced excess to 1 trillion dollars. This means the giant
size amount of funds which could be effected to economies.

321

�1. International Symposium on Sustainable Development, June 9-10 2009, Sarajevo

Table1 : Premium Production In World In 2003.
Billion
Dolar
Countries
%
USA
1.117.944 35,41
Japan
472.820
20,62
United
Kingdom
254.363
8,63
Germany
170.137
5,77
France
161.483
5,48
Sweden
39,876
1,35
Turkey
3,316
0,11
(www.swissre.com)
Insurance firm has more affect on economic structure. The biggest insurance firm is the Citigroup and it
has 1.4 trillion asset structures. The first 100 firm have asset changing between 1.100 and 243 billion dollar
(Oskay, 2005; 64).

Insurance Sector in Turkey
In Turkey insurance sector has not been developed in comparison with developed country. For example,
European Union Countries produced 1.1 trillion US dollar insurance premium in 2004. The same year, England
become the country which the most piled insurance premium with 294 billion US Dollars (www.tsrb.org.tr). In
2003, USA produced 1.117,944 billion US dollar.

322

124
201
369
671
1.427
2.602
5.272
11.099
20.471
40.807
82.689
182.635
354.669
623.522
1.144.889
1.600.478
2.355.308
3.300.858
4.271.629
5.042.403
6.236.143

Fire insurance
premiums to
the total rate
(%)

Amount of fire
insurance
premiums
collected

Years
1986
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007

Quantity of
collected
insurance
premiums

Table 2: All And Fire Insurance Premium Production

33
54
93
167
283
408
781
1.792
3.785
7.043
13.870
27.469
49.104
100.971
165.252
284.233
419.531
529.173
655.711
733.046
1.192.800

27,01
26,70
25,33
24,92
19,81
15,68
14,82
16,14
18,49
17,26
16,77
15,04
13,85
16,19
14,43
17,76
17,81
16,53
15,35
14,54
19,13

7.052.563
1.105.287
www.hazine.gov.tr

15,67

�1. International Symposium on Sustainable Development, June 9-10 2009, Sarajevo

Table 2 shows that total and fire insurance Premium production in accordant to years. Sector is incline
to improve but this inclination is a bit slow. Foreign investors and professional management shortage is the
biggest problems in Turkey’s Sector.

Survey Research
Our survey research have been put into practise in Marmara region and along april and may in this year.
Survey have been filled by 170 participants nearly. Aim of this study is to measure of the reason why less level
fire insurance and knowlodge level of the participants about fire insurance and fire measurments. There is no
academic research to measure to inclination of not being made fire insurance. This is the first and ongoing
academic research on this topic.
In Turkey, although insurance sector is incline to develop but either insurance capacity or fire insurance
production is very low level. In Table 1 and Table 2, this situation are being appeared clearly below.

194%
176%
184%
140%
147%
136%
133%
118%
124%
113%

Percentage Of
Increase level Of
Fire Insurance

Year
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007

Percentage Of
Increase level Of
Total Premium

Table 3: Amount Of Total And Fire Insurance Premium In Turkey As Graphic
250%

200%

150%

100%

179%
206%
164%
172%
148%
126%
124%
112%
163%
93%

50%

0%
1998

1999

2000

2001

2002

Percentage Of Increase level Of Total Premium

2003

2004

2005

2006

2007

Percentage Of Increase level Of Fire Insurance

In accordant to these table, Turkey produced 7,05 billion US Dolar and the percent 15,67 of this
produced premium is fire insurance. Total premium level and fire insurance level are increasing inclination but
this inclination is very slow and inadequate. Table 2 shows that percentage of increase level of total premium
and percentage of increase level of fire insurance. Comparation with England, Turkey’s total premium level is
very small, nearly 1,5 percentage of England’s premium production.

Educational
degree

Mountly income

Gen
der

Table 4: Participant’s Gender, Mounthly Income And Educational Degree
Frequency Percent
Man
114 70,80
Woman
47 29,20
333 - 666 $
36 22,36
667 - 999 $
52 32,30
1000 - 1333 $
36 22,36
1334 - 2000 $
24 14,91
2001 - 2666 $
7
4,35
2667 and over $
6
3,73
Primary School
19 11,80
Secondary School
24 14,91
High School
53 32,92
Associate Degree
7
4,35
B.A.
49 30,43
Master and over Degree
6
3,73

323

�1. International Symposium on Sustainable Development, June 9-10 2009, Sarajevo

Upper table shows the participants pecularities. Striking point of this table that is the participants’
income level. % 55 of participants has income below 1.000 US dollar. This is the most important reason about
less level of fire insurance demand. The more income level increase, people are incline to spend their funds to
insure their goods. This is the reason why is the insurance sector more strong and effective on economy at
developed countries at the same time. At these countries, people have more income in accordance to
undeveveloped countries’ people and spend their income to getting valuable goods and insure them. In our
country, people reasonable wages and they are incline to spend this income to essential poverty.

1
2
3
4
5
6
7
8
9

Table 5: Why Do You Not Use The Fire Insurance ?
Frequency
Why Do You Not Use The Fire Insurance?
Nobody offered me to fire insurance
62
A low probability of fire out
54
I have no information about this type of insurance
53
I'm getting my own measures
50
I have no enough income to spent to premium of fire insurance.
49
Premium amounts, too much
48
Fire insurance to do was continually postponed
26
I have no confidence in the insurance sector
24
I've done before, never satisfied
8

Percent
38,5%
33,5%
32,9%
31,1%
30,4%
29,8%
16,1%
14,9%
5,0%

If we take a look at table 4, it is obvious that the most striking result is weakness of marketing. Agencies
and insurance firms think about this topic. If marketing operation is accelerated, it is probable that fire insurance
branch may be extended. 62 participants and 53 participants declared that we had not enough information about
fire insurance and its benefits.
A huge percent of participants declared that fire out probability is very small. In accordance to other risk
(desiases accident...), fire out probability may be seen as very small probability but expand speed and damage of
fire could be very effective and mortal.
The other result of this table is existence of high premium prices and having income level weakness.
Table 6: During your life, have you ever eyewitnesses very close to any fire around your house?
Frequency
Percent
52
32,30
Yes
108
67,08
No
The reason why the people who has not fire insurance policy could be that they have never seen a fire
around their houses. % 67 of participants have not been eyewitnesses to fire. This is a psychological result. The
people are incline to focusing on things effected them. As a result, It is clear that marketing and enlightment
studies must be increased by the firm. In point of result of fire, fire always has a big risk.
Table 7: Are you owner of house which you sit in?
Frequency
Percent
Yes
No

110
49

69,32
30,43

110 participants have own houses. The others have not own houses and tenant of their house. Whereas % 69 of
participants have own houses, they are not interested in make fire insurance.

324

�1. International Symposium on Sustainable Development, June 9-10 2009, Sarajevo

Table 8: How many people do you know who have fire insurance around you?
Frequency
Percent
No have
1 person
2-3 person
4-5 person
6-7 person
8 and over

91
22
39
6
1
1

56,52
13,66
24,22
3,73
0,62
0,62

Small percentage of fire insurance is appeared at this table again. % 56 of participants has no identified to people
has fire insurance.
Table 9: Do you know the risks are covered by fire insurance policy in detail?
Frequency
Percent
Yes
No

10
149

6,21
92,55

Participants have neither knowledge fire insurance nor coverage of fire insurance policy. Whereas fire insurance
has different some coverage like thunder and exploit.
Table 10: Do you have the measures which of the followings related to the fire in your home available?
Frequency Percent
Fire
extinguisher
71
1
41 %
30
2 Fire escape
18 %
16
3 Fire alarm
9%
4
4 Sand bucket
2%
Fire
Cabinet
8
5
5,0 %
0
6 Fire Ball
0%
No
one
41
7
25 %
Most preferred equipment is fire extinguisher in the case of fire in accordance to answers. Fire alarm,
cabinet and escape are not affected to extinguish to fire. These measurements are helpful to after fire occurred. %
25 of participant has no any measurements about fire. This is the most important result shows that disregarders
of fire risks of this table.
Table 11 : Have you enough information about fire protection?
Frequency
Percent
59
36,65
Yes
100
62,11
No
% 62 of participants have no enough information about protection of fire. Although communication possibilities
are very widen, this high percentage shows that communication possibilities are not used usefully. Booklets, tv
and radio programs must be used for enlighment to people to protect from fire and precautions before the fire
occurred.

325

�1. International Symposium on Sustainable Development, June 9-10 2009, Sarajevo

Table 12: Cross table of "income" and "Why do you not use the fire insurance?"

Cross table used for comparing with income level and the reasons not to do fire insurance. In
accordance to the Table 11, the participants who have not reasonable income are getting their own measures and
they find to Premium price are very high. Medium level incomed participants have less confidence to insurance
sector. The more income is higher, measurements against to fire decreaser and the reason of high premium price
decreaser.

Conclusions:
As Turkish Insurance sector has lots of problem, fire insurance branch has some obstacles and
problems. Although fire risk and its results’ fatality is big, lots of participants ignore to fire insurance. As survey
fire insurance branches 3 main problems;
1. The biggest problem is weak income level. Turkish per capita income is incline to increase but it is not
enough for improvng to insurance sector. The people has huge income incline to spend their funds to precious
goods. As a result precious goods need to be insured.
2. Marketing deficiency is the other big problem. Most of participants declared that they had no knowledge
about sector and had not get any fire insurance proposal from agencies.
3. Not to understand of fire risk and its result. It is a bit connected with educational level.

References
Hussels Stephanie; Ward Damian; Zurbruegg Ralf ; “Stimulating The Demand For Insurance” Risk Management and
Insurance Review, 2005, Volume. 8, No. 2, 257-278
Targan, Ünal ; “ Türk Sigortacılık Sektörünün Ekonomik Đşleyişi ve Fon Oluşturma Kapasitesi; ĐTO Publishing, Đstanbul
1994
“Avrupa Birliğinde Sigorta Sektörünün Vergilendirilmesi” http:/www.tsrsb.org.tr
Oskay; Suna; “Küresel Sigorta Piyasalarında Türk Sigorta Piyasasının Rekabet Gücü” 2005 http://www.soksay.com/econet/downloads/K%C3%BCreSig.pdf
Hausler, Gerd ; “Risk Transfer and the Insurance Industry”; Contributions from the 31st General Assembly of the Geneva
Association, June 2004
Masci Pietro; Tejerina Louis . ; “Insurance Market Development in Latin America and the Caribbean”
http://199.79.166.188/sds/doc/FINALIN SURANCEPAPER _Masci_Tejerina.pdf
www.swissre.com

326

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                    <text>A REVIEW OF ACCUMULATION OF CADMIUM IN THE BOLETUS
EDULIS AND LACTARIUS DELICIOSUS
Hayrünisa Baş Sermenli
Muğla Sıtkı Koçman University, Muğla, Turkey
hayba2000@gmail.com
Handan Çınar
Muğla Sıtkı Koçman University, Muğla, Turkey
h.platanus@gmail.com
Mustafa Işıloğlu
Muğla Sıtkı Koçman University, Muğla, Turkey
isiloglu48@gmail.com
Keywords: Boletus edulis; Cadmium; Lactarius deliciosus; macrofungi.
ABSTRACT
Environmental pollution is the most important problem in today’s world. Although their toxic
effects are well-established, heavy metals have still extensive range of application in industry. It
is known that wild mushrooms can accumulate some toxic metals, such as lead, mercury and
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                <text>Keywords: Boletus edulis; Cadmium; Lactarius deliciosus; macrofungi.  ABSTRACT  Environmental pollution is the most important problem in today’s world. Although their toxic effects are well-established, heavy metals have still extensive range of application in industry. It is known that wild mushrooms can accumulate some toxic metals, such as lead, mercury and cadmium. In this study, lead accumulation levels of Boletus edulis Bull. andLactarius deliciosus (L.) Gray taxa which are naturally grown and edible, are given.</text>
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                    <text>A REVIEW OF ACCUMULATION OF LEAD IN THE BOLETUS EDULIS
AND LACTARIUS DELICIOUS
Mustafa Işıloğlu
Muğla Sıtkı Koçman University, Muğla, Turkey
isiloglu48@gmail.com
Selen Özbay
Muğla Sıtkı Koçman University, Muğla, Turkey
selenozbay@hotmail.com
Hayrünnisa Baş Sermenli
Muğla Sıtkı Koçman University, Muğla, Turkey
hayba2000@gmail.com
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There is a strong relationship between environmental pollution and sustainable energy. Increased
use of renewable energy sources for sustainable energy, reduced environmental pollution, energy
resources must be used efficiently. Environmental problems that arise during energy production
and consumption must be minimized. One of these environmental problems of heavy metal
pollution. The Volcanic activities , rock, mining,anthropogenic activities, creates heavy metal
pollution . Biological materials can be used to reduce the heavy metal pollution. Mushrooms can
be one of from these biological material and the heavy metal pollutions can be used. Therefore,
the mushrooms are used to assess the level of environmental pollution. Lead is a heavy metal and
causes environmental pollution. The aim of the this study to accumulation of lead in the Boletus
edulis and Lactarius delicious.

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                    <text>Journal of Economic and Social Studies

A Review of Service and E-Service Quality Measurements:
Previous Literature and Extension
Emel Kursunluoglu Yarimoglu
Yasar University
Izmir, Turkey
emel.kursunluoglu@yasar.edu.tr
Abstract: The purpose of this study is to show the requirement of
industry-specific national service quality indices for measuring
quality in both traditional and electronic services in various
industries in a country. In this study, the literature about service
and e-service quality measurements was reviewed, and a threedimensional framework was developed. It was found out that the
dimensions of each service quality measurement were all different
from each other due to the different characteristics of the industries
that each study has been conducted in. The study showed that
there is a need for an industry-specific national service quality
index and suggested that national customer satisfaction indices
which have existed in the literature can be a model for industryspecific national service quality indices. An industry-specific
national service quality index enables national companies to
understand their unique industrial characteristics that needed to
be improved continuously in order to increase service quality and
gain competitive advantage. The index which was proposed to
develop in the future was suggested for the first time in this study.

Volume 5 Number 1 Spring 2015

Keywords: Service Quality; E-

Service Quality; Service Quality
Dimensions; National Customer
Satisfaction
Indices;
Turkish
Customer
Satisfaction
Index
(TCSI).

JEL Classification: M31
Article History

Submitted: 11 June 2014
Resubmitted: 3 September 2014
Resubmitted: 17 December 2014
Accepted: 25 December 2014

http://dx.doi.org/10.14706/JECOS
S115110

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�Emel Kursunluoglu Yarimoglu

Introduction
The techniques of measuring service quality have become a major area in the
marketing literature during the past few decades since the increasing importance of
service industry. The share of service industry in the economy has been increasing for
years. The importance of services has been growing rapidly since the services account
for more than 60 percent of GDP worldwide, almost all economies have a
substantial service sector, and most new job is derived by services (Lovelock and
Wirtz, 2011). Increasing competition in the service industry has led many companies
to consider service quality as a strategic tool. As well as service quality, e-service
quality has been becoming more important nowadays. Measuring e-service quality
was highly developed after 2000s with the increasing usage amount of e-services. The
researches about measuring and improving e-service quality have been continuing
sharply.
Service quality affects customer satisfaction and loyalty which have strong influences
on customer behavior. Since service quality is one of the antecedents of customer
satisfaction (Parasuraman et al., 1988; Boulding et al., 1993; Cronin and Taylor,
1992; Athanassopoulos, 2000) and there are many relations among service quality,
satisfaction, loyalty, perceived value, and behavioral intentions (Leonard and Sasser,
1982; Cronin and Taylor, 1992; Chang and Chen, 1998; Gummesson, 1998;
Silvestro and Cross, 2000; Cabuk et al., 2013), the measurement of service quality
has been a valuable concept that should be analyzed. E-service quality has also
positive impacts on customer satisfaction (Chang and Wang, 2008; Barutcu, 2010;
Liang, 2012). It was shown that e-service quality has a positive effect on satisfaction
and satisfaction has a positive effect on loyalty (Chang et al., 2009). E-service quality
has a significant and positive effect on perceived value; and perceived value increases
the loyalty (Fuentes-Blasco et al., 2010; Pearson et al., 2012). Pearson et al. (2012)
also showed that loyalty intentions can be affected by perceived e-service quality.
There have been many studies that developed scales and dimensions for measuring
service and e-service quality in the literature. This paper reviewed the service and eservice quality measurements and showed the need of an industry-specific national
service quality index for each various service industry in a country. The aim of the
study is to show the requirement of developing industry-specific national service
quality indices. In this study, firstly service and e-service quality scales and their
dimensions were examined, criticisms about service and e-service quality scales were
analyzed, and a three-dimensional framework was developed according to the
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Journal of Economic and Social Studies

�A Review of Service and E-Service Quality Measurements: Previous Literature and Extension

literature review. This framework showed that each service quality dimensions were
all different from each other due to the different characteristics of the industries that
each study has been conducted in. It was highly suggested that there is a need for an
industry-specific national service quality index and customer satisfaction indices
which have existed in the literature can be a model for industry-specific national
service quality indices. National customer satisfaction indices from different
countries were explained and Turkish Customer Satisfaction Index was focused on.
In conclusion, it was highly recommended to develop an industry-specific national
service quality index since it enables national companies to understand the unique
industrial characteristics that needed to be improved continuously in order to
increase service quality and gain competitive advantage.
Service Quality (SQ) Measurements
Service quality concept was defined by seven service attributes such as security,
consistency, attitude, completeness, condition, availability, and training of service
providers (Sasser et al., 1978). Lehtinen and Lehtinen (1982) defined three
dimensions of service quality such as physical quality, interactive quality, and corporate
quality. Physical quality refers to tangible appearance of the service; interactive
quality relates to the interactions between customers and service personnel; corporate
quality involves the image of service provider.
The first model for measuring service quality was developed by Grönroos in 1984
(Dotchin and Oakland, 1994; Seth et al., 2005; Bulbul and Demirer, 2008). He
developed a service quality model and measured perceived service quality. Technical
quality, functional quality, and corporate image were used in the model as the
dimensions of service quality. Technical quality is about customer evaluations about
the service delivered. Functional quality is seen to be more important dimension
than technical quality. It refers how consumers take the service and it is the
important variable for consumer perceptions and service differentiation. Technical
quality is interested in what was delivered such as the knowledge about product and
services whereas functional quality is interested in how the service was delivered such
as the importance of the service personnel manners. Corporate image has a positive
impact on customer perceptions.
Parasuraman et al. (1985) analyzed the dimensions of service quality and constituted
a GAP model that provides an important framework for defining and measuring
service quality (Saat, 1999). They conducted an exploratory investigation and
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�Emel Kursunluoglu Yarimoglu

developed the GAP Service Quality Model. It shows the key insights gained through
the executive interviews and focus group interviews about the service quality
concept. The gaps revealed by the executive interviews are shown in the marketer
side (GAP1, GAP2, GAP3, GAP4), and the GAP 5 which was formed by the focus
group interviews is in the consumer side of the model. The GAP names were shown
below (Parasuraman et al., 1985; Lovelock, 2011): The Knowledge Gap (GAP 1):
Customer expectation-management perceptions gap; The Policy Gap (GAP 2):
Management perception-service quality specifications gap; The Delivery Gap (GAP
3): Service quality specifications-service delivery gap; The Communications Gap
(GAP 4): Service delivery-external communications gap; The Service Quality Gap
(GAP 5): Expected service-perceived service gap. Lovelock (1994) added the sixth
gap to the model as The Perceptions Gap between Service Delivery and Perceived
Service.
After the gaps modeling, ten determinants of service quality that consumers used
when interpreting the quality were described (Parasuraman et al., 1985) as follows:
Reliability involves consistency of performance and dependability and provides right
service in right time. Responsiveness includes the willingness or readiness of employees
to provide service. Competence shows skill and knowledge the service personnel.
Access means accessibility and ease of contact. Courtesy involves politeness and
friendliness of service personnel. Communication keeps customer informed, for
example explaining the service and its cost. Credibility contains trustworthiness and
honesty. Security involves physical safety and financial security.
Understanding/Knowing the Customer means learning the customer's specific
requirements and providing them individualized service. Tangibles show the physical
evidence of the service.
Service quality has been conceptualized with different numbers of dimensions and
generally it has been explained with two or three dimensional models. Rust and
Oliver (1994) proposed a three dimensional model which was not tested in a
conceptual way. In this model service quality is a function of service product, service
delivery, and service environment. Hedvall and Paltschik (1991) identified service
quality dimensions as willingness and ability to serve, and physical and psychological
access. Haywood-Farmer (1988) discussed a service quality model including three
basic attributes such as physical facilities, people behavior and conviviality, and
professional judgment. These attributes were related to Parasuraman et al.’s (1985)
service quality determinants. Physical facilities are related to Tangibles; People
Behaviour and Conviviality are related to Reliability, Responsiveness, Access,
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�A Review of Service and E-Service Quality Measurements: Previous Literature and Extension

Courtesy, Communications determinants; and Professional Judgment is related to
Competence, Credibility, Security, Understanding the consumer determinants.
Parasuraman et al. (1988) developed SERVQUAL scale which is an advanced model
for measuring service quality. In SERVQUAL model, there are five dimensions and
22 items presented in seven-point Likert scale. They measured service quality
especially functional service quality via empirical studies in banking, credit card,
repair and maintenance, and long-distance telephone services. The five dimensions
of SERVQUAL are: tangibles, reliability, responsiveness, assurance, and empathy.
Service quality can be measured by a performance-based SERVPERF scale as well as
the gap-based SERVQUAL scale (Cronin and Taylor, 1992). SERVPERF scale was
developed from the same items in SERVQUAL but it has also the performance
statements. Scale consists of items about expectation (22 items-same as
SERVQUAL), performance (22 items-same as SERVQUAL), importance (22 itemssame as SERVQUAL), future purchase behavior (1 item), overall quality (1 item), and
satisfaction (1 item). This study has shown that service quality is measured as an
attitude, the marketing literature supports the performance-based measures, and the
SERVPERF explains more of the variation in service quality than SERVQUAL.
SERVPERF which is a performance-only model for measuring service quality was
developed via empirical studies in the sectors of banking, pest control, dry cleaning,
and fast food. SERVQUAL had a good fit in banking and fast food sectors whereas
SERVPERF had an excellent fit in all four industries.
Dabholkar et al. (1996) developed and empirically validated the multilevel model
called Retail Service Quality Scale (RSQS) in order to measure retail service quality
that consists of five dimensions such as physical aspects, reliability, personal interaction,
problem solving, and policy. The scale has been viewing as a generalized scale to
measure the service quality in retail stores such as department and specialty stores.
Philip and Hazlett (1997) proposed a hierarchical structure model called P-C-P for
measuring service quality in service organizations. The model is based on pivotal,
core, and peripheral attributes. Pivotal attributes which are the most important
attributes that affect service quality are seen as end product or output whereas core
and peripheral attributes are seen as inputs and processes. These attributes are shown
in a triangle. Pivotal attributes are at the top, core attributes are at the second stage,
and peripheral attributes are at the bottom side of the triangle. The degree of
importance decreases from top to bottom of triangle.
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Brady and Cronin (2001) developed a model for measuring service quality.
According to this model; service quality is affected by personal interaction quality,
physical service environment quality, and outcome quality. Attitude, behavior,
expertise form interaction quality; ambient conditions, design, social factors
constitute physical environment quality; and waiting time, tangibles, valence form
outcome quality. Martinez Caro and Martinez Garcia (2007) used this model in
their empirical research for measuring perceived service quality in urgent transport
service industry. They claimed that Brady and Cronin (2001) developed this
hierarchical conceptualized and multidimensional model by combining the Rust and
Oliver model (1994) and Dabholkar et al.’s RSQS hierarchical model (1996).
E-Service Quality (e-SQ) Measurements
E-services are distinguished from traditional services in terms of their characteristics
such as the cost structure of services, the high degree of outsourcing, the rapid
development of new services, the availability of transparent service feedback, and the
continuous improvement of services (Riedl et al., 2009). Because of these
distinguished characteristics between services and e-services, measuring e-service
quality is different from measuring traditional service quality. Before developing eservice quality scales, the research have concentrated on determining three points
such as technical quality of websites, the factors that influence e-satisfaction, and
service quality of websites (Akinci et al., 2009). Hence, the criteria that should be
used for designing an effective website have been the focus points of researchers.
Abels et al. (1999) determined the six criteria that website designers need to use for
designing a successful website: 1) use - easy to use, 2) content - having useful
information, 3) structure - displaying of website, 4) linkage - providing link to the
information at the website and other websites, 5) search - providing search button in
website itself, 6) appearance - being attractive.
Yoo and Donthu (2001) aimed to develop a psychometrically measure of service
quality of online shopping websites and developed SITEQUAL. According to the
model, there are four important factors that affect web site design such as ease of use of website and ability for information search; aesthetic design - the creativity of
website in terms of excellent multimedia and colour graphics; processing speed online processing promptness and interactive responsiveness to consumers’ requests;
and security - of financial and personal information.

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�A Review of Service and E-Service Quality Measurements: Previous Literature and Extension

Loiacono et al. (2002) measured B2C website quality through WebQual™ in the
websites that sell products such as CDs, books and services such as hotel reservations
and airline reservations. It showed that buying and revisiting intentions of consumers
and the value of website. The model has been seen as more suitable for website
designers to design better websites for users rather than measuring service quality
(Zeithaml et al., 2002). WebQual™ has 36 items and 12 constructs. These constructs
are: Informational fit-to-task: finds the information that consumers want; tailored
communications: consumer-website interaction; trust: improves security and privacy
policies; response time: supports communication capacity; ease of understanding:
designs the pages; intuitive operations: develop an intuitive navigation system; visual
appeal: enhances colors, graphics, and text; innovativeness: finds creative approaches;
emotional appeal: is used to gain online customer experience; consistent image: reflects
the image of the company; online completeness: performs over the website; relative
advantage: makes the website easier for interacting.
Barnes and Vidgen (2002) developed WebQual 4.0 to assess the perceived service
quality of online bookstores such as Amazon, BOL, and IBS in UK and found 3
dimensions and 5 subdimensions for measuring e-service quality of websites.
Usability (Usability and Design as subdimensions): appearance, ease of use, ease of
navigation; Information Quality (Information as sub dimension): accuracy, format, and
relevancy of information; Service Interaction Quality: (Trust and Empathy as
subdimensions) transaction/information security, product delivery, personalization
and communication with website.
Zeithaml et al. (2002) showed that a number of studies have examined some criteria
that identified customers’ evaluations about website quality. These are information
availability and content; ease of use; privacy/security; graphic style;
fulfillment/reliability; and other criteria such as access, responsiveness,
personalization. They developed e-SERVQUAL in 2002 for measuring e-service
quality. This model has been conceptualized in two parts: core e-service quality scale
with four dimensions such as efficiency, reliability, fulfillment, privacy; and recovery eservice quality scale with three dimensions such as: responsiveness, compensation,
contact.
Another scale for assessing service quality of e-tailers was developed as PIRQUAL Perceived Internet Retail Quality Model (Francis and White, 2002). The scale
consists of six dimensions such as web store functionality, product attribute description,
ownership conditions, delivery, customer service, and security.
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�Emel Kursunluoglu Yarimoglu

Wolfinbarger and Gilly (2002) suggested .comQ for the measurement of service
quality delivery through websites. They found that reliability/fulfillment is the
strongest factor that affecting customer satisfaction, website functionality is a strong
factor that affecting loyalty, and customer service is a strong predictive of loyalty and
customer satisfaction. They have developed this valid and reliable scale for the
measurement of etailer quality named eTAilQ (Wolfinbarger and Gilly, 2003).
Service quality of etailers was measured within four factors such as website design,
fulfillment/reliability, privacy/security, customer service. These four factors are shown in
Table 5 and can be defined as follows: Website design includes customer experience
elements such as navigation, information search, order processing, and
personalization. Fulfillment/reliability includes display and description of a product
and right delivery of the product on time. Privacy/security includes information about
customers and credit card payments are secure. Customer service includes being
helpful and responsive towards customer requests.
Santos (2003) proposed e-service quality dimensions that can be classified in two
ways as incubative dimensions and active dimensions. Incubative dimensions
developed before website is launched are ease of use, appearance, linkage, structure and
layout, and content. Active dimensions which can raise customer retention are
developed after launching of a website. They are reliability, efficiency, support,
communication, security, and incentive.
Parasuraman et al. (2005) proposed E-S-QUAL and E-RecS-QUAL scales for
measuring e-service quality. E-S-QUAL is a core service quality scale for measuring
core service attributes of websites and E-RecS-Qual is an e-recovery service quality
scale which measures the quality of recovery services provided by websites. These
scales which adapt to psychometric properties are reliable and valid scales. The E-SQUAL scale has 22 items and four dimensions such as efficiency, fulfillment, system
availability, and privacy. E-RecS-QUAL contains 11 items in three dimensions:
responsiveness, compensation, and contact. E-S-QUAL scale is a leading model for the
measurement of e-service quality just as SERVQUAL in service quality.
Existing e-service quality scales were seen as goal oriented and utilitarian-based by
Bauer et al. (2006). They suggested that utilitarian and hedonic e-service quality
dimensions should be integrated; hence they developed eTransQual scale. It is a
transaction process based approach to integrate utilitarian and hedonic elements in

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�A Review of Service and E-Service Quality Measurements: Previous Literature and Extension

measuring e-service quality. This scale has 25 items and five dimensions such as:
functionality/design, enjoyment, process, reliability, and responsiveness.
E-service quality provided by online travel agencies were investigated by different
researchers such as Park et al., 2007; Kaynama and Black, 2000; Shchiglik and
Barnes, 2004; Chen and Kao, 2010. According to the study of Park et al. (2007), the
dimensions of e-service quality are as follows: ease of use that includes functionality
and accessibility of website and it is the most important item that affects willingness
to buy over the internet, and it is followed by information/content that includes upto-date and reliable information; responsiveness that includes solving customer
problem quickly and on time; fulfillment that includes accuracy of billing, ordering,
online transaction, and services promise; security/privacy that includes to keep
customer personal information, credit card information, and shopping behavior data
safe.
The studies explained about measuring e-service quality above were related to B2C
companies. Since C2C auction websites have been becoming more important as ecommerce business type (Zhang, 2006), a service quality measurement was needed
for C2C auction websites like eBay. Liu et al. (2010) developed a scale called OASQ (online auction service quality). It included 24 items and seven dimensions as:
efficiency, system availability, privacy/security, compensation, personalization, playfulness,
and reputation.
Three-Dimensional Framework on SQ and e-SQ Measurements
Parasuraman et al. (1988) claimed that SERVQUAL measures perceived service
quality in a wide range of service industries. SERVQUAL also has been widely used
in many service industries such as education (Atrek and Bayraktaroglu, 2012; Owlia
and Aspinwall, 1996; Okumus and Duygun, 2008), communication via GSM
operators (Hotamisli and Eleren, 2011), hotels (Akbaba, 2006; Yaprakli and Saglik,
2010), and transportation (Cati and Yildiz, 2005; Aydin and Yildirim, 2012). The
applicability of SERVQUAL to the health care service industry was tested by
Babakus and Mangold (1992). According to them; SERVQUAL is a reliable and
valid scale for measuring functional service quality in hospitals, however hospital
management need to measure both functional and technical quality for a long-term
success.

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On the contrary, Finn and Lamb (1991) did not support that SERVQUAL is valid
for every service industry, thus they suggested that the validity of SERVQUAL in a
variety of service industries should be examined industry by industry (Akbaba,
2006). SERVQUAL dimensions may not fit in every industry which needs its own
quality dimensions. Ekiz and Bavik (2008) also showed that some researchers who
conducted SERVQUAL in different industries confirmed the model (Gabbie and
Neill, 1996; Bojanic and Rosen, 1994; Mehta and Durvasula, 1998; Lam and
Zhang, 1998) whereas some others did not confirm the model (Carman, 1990;
Babakus and Boller, 1992; Brown et al. 1993; Ryan and Cliff, 1996). Carman
(1990) suggested that the requirement of the adaptations of items in SERVQUAL
for each industry. Babakus and Boller (1992) emphasized the requirement of
industry-specific measures of service quality. Brown et al. (1993) found some
problems in SERVQUAL and suggested the requirement of a new method to have
psychometric properties.
SERVPERF another most known and used scale was tested and found as appropriate
for different sectors whereas there were some problems in SERVQUAL. Since the
requirement of industry-specific service quality scale (Babakus and Boller, 1992),
Karatepe et al. (2005) developed an industry-specific (banking) and a countryspecific (Northern Cyprus) model called SQUAL consisting of dimensions as: service
environment, interaction quality, empathy, and reliability. They measured service
quality by using SERVPERF (perceptions-only approach). Besides this, Brady et al.
(2002) also performed a replication and extension of SERVPERF, and they
supported the results of Cronin and Taylor (1992) in different sectors such as
spectator sports, entertainment, health care, long-distance carriers, and fast food.
Also, they claimed that SERVPERF is the superior model among all service quality
models.
As it was explained above, some industry based scales such as SQUAL were derived
by SERVPERF since it was seen as more valid and reliable scale for different service
industries. On the contrary, some of the industry-specific service quality scales were
based on SERVQUAL dimensions such as RENTQUAL (Ekiz and Bavik, 2008) in
car rental services, TISQ (Sangeetha, 2012) in retail banking, SQFS (Chang and
Chelladurai, 2003) in fitness services, DINESERV (Stevens et al., 1995) in
restaurants, SYSTRA-SQ (Aldlaigan and Buttle, 2002) in retail banking, MS-QUAL
(Hosseini et al., 2013) in mobile telecommunication industry, ECOSERV (Khan
and Su, 2003) in ecotourism, and INTSERVQUAL (Frost and Kumar, 2000).
Even though these scale development studies were concentrated on the specific
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Journal of Economic and Social Studies

�A Review of Service and E-Service Quality Measurements: Previous Literature and Extension

industry, they are inadequate with regard to forming a general industry-specific
national index that measures service quality.
For assessing quality of e-services, E-S-QUAL as a main scale for measuring e-service
quality was adapted to different industries in many studies. It was used in the sectors
such as online shopping (Rafiq et al., 2012; Ingle and Connoly, 2006; Meng and
Mummalaneni, 2010; Türk et al., 2012), and online banking (Marimon et al., 2012;
Akinci et al., 2010). Besides this, there were many researches in the literature about
measuring e-service quality in different industries such as internet banking service
quality (Jun and Cai, 2001; Yang et al., 2004; Ho and Lin, 2010; Jayawardhena,
2004; Siu and Mou, 2005; Zhu et al., 2002; Wu et al., 2012; Kayabasi et al., 2013);
mobile service quality (Ozer et al., 2013; Kuo et al., 2009; Lu et al., 2009); online
shopping (Ilter, 2009; Celik and Basaran, 2008; Li et al., 2012; Seethamraju, 2006).
Assessing of online service quality was analyzed in different sectors with different
scales; however there were no industry-specific national measurements.
After considering the criticisms in the literature about service quality measurements,
a three-dimensional framework was developed and shown in Table 1 below. In the
first part of this framework, the service quality measurements which contain the
main scales such as SERVQUAL and SERVPERF were shown. In the second part,
scale development studies deriving from the main service quality scales with the
techniques of replication or adaptation were shown. Even though they focused on a
specific industry more, they were inadequate of developing an index in national
based. In the third part, e-service quality studies which show the general
development of e-service quality measurements in different industries and countries
were shown.
Table 1: Three-Dimensional Framework on SQ and E-SQ Measurements
SQ Studies
Parasuraman et al.,
1985 GAP Model
Parasuraman et al.,
1988 SERVQUAL
Cronin and Taylor,

Industry-Country

Dimensions
Reliability, Tangibles, Access,
Banking, credit card, securities
Responsiveness, Competence,
brokerage, repair and
Courtesy, Credibility, Security,
maintenance-USA
Communication, Knowing Customers
Banking, credit card, repair
Tangibles, Reliability, Empathy,
and maintenance, telephoneResponsiveness, Assurance
USA
Banking, pest control, dry

Volume 5 Number 1 Spring 2015

Same as SERVQUAL but with

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�Emel Kursunluoglu Yarimoglu
1992 SERVPERF
Dabholkar et al.,
1996 RSQS
Philip and Hazlett,
1997 PCP Model

Brady and Cronin,
2001 Service Quality

Scale Development
Studies in SQ
Stevens et al.,
1995 DINESERV
Frost and Kumar,
2000
INTSERVQUAL

cleaning, fast food-USA
Department stores-USA
Particular service
organizations-UK
Amusement parks,
restaurants, health and
automobile care facilities,
hair salons, dry cleaning,
jewelry repair, photographUSA

performance only statements
Physical aspects, Reliability, Personal
interaction, Problem solving, Policy
Pivotal, Core, Peripheral attributes

Personal interaction, Service
environment, Outcome

Industry-Country

Dimensions

Restaurants-USA

Reliability, Tangibles, Assurance,
Responsiveness, Empathy

Airline-Australia

Reliability, Tangibles, Assurance,
Responsiveness, Empathy

Aldlaigan and Buttle,
2002 SYSTRA-SQ

Banking-UK

Service system quality, Behavioral
service quality, Service transactional
accuracy, Machine service quality

Khan and Su,
2003 ECOSERV

Ecotourism-USA

Chang and
Chelladurai,
2003 SQFS

Fitness services-USA

Karatepe et al.,
2005 SQUAL
Ekiz and Bavik,
2008 RENTQUAL
Sangeetha,
2012 TISQ

180

Banking-Northern Cyprus
Car rental services-Northern
Cyprus
Banking-Oman

Eco tangibles, Assurance, Reliability,
Responsiveness, Empathy, Tangibles
Service climate, Management
commitment, Programs,
Interpersonal interactions, Task
interactions, Physical environment,
Other clients, Service failures and
recovery, Perceived service quality
Service environment, Interaction
quality, Empathy, Reliability
Comfort, Delivery, Safety, Handing
over, Ergonomics, Accessibility
ATM, Telephone banking, Internet
banking, Call center services, Queue
systems, Price, Core product
Journal of Economic and Social Studies

�A Review of Service and E-Service Quality Measurements: Previous Literature and Extension

Hosseini et al.,
2013 MS-QUAL

Mobile telecommunicationIran

e-SQ Studies
Yoo and Donthu,
2001 SITEQUAL

Industry-Country
Online shopping websitesUSA

Loiacono et al.,
2002 WebQual™

CDs, books, hotel-airline
reservations-USA

Barnes and Vidgen,
2002 WebQual4.0

Bookstores-UK

Zeithaml et al.,
2002 e-SERVQUAL

Online shopping websitesUSA

Network quality, Value-added
service, Pricing plans, Employee
competency, Billing, Customer
services, Service convenience
Dimensions
Ease of use, Aesthetic design,
Processing speed, Security
Informational fit-to-task, Tailored
communications, Trust, Response
time, Ease of understanding,
Intuitive operations, Visual appeal,
Innovativeness, Emotional appeal,
Consistent image, Online
completeness, Relative advantage
Usability, Information quality,
Service interaction quality
Efficiency, Reliability, Fulfillment,
Privacy, Responsiveness,
Compensation, Contact
Web store functionality, Product
attribute description, Ownership
conditions, Delivery, Customer
service, Security
Website design, Fulfillment, Privacy,
Customer service
Ease of use, Appearance, Linkage,
Layout, Content, Reliability,
Efficiency, Support, Incentive,
Communication, Security

Francis and White,
2002 PIRQUAL

Online shopping websitesAustralia

Wolfinbarger and
Gilly, 2003 eTAilQ

Books, CDs and videos-USA

Santos, 2003
E-service quality

Online shopping websitesUK

Parasuraman et al.,
2005 E-S-QUAL

Apparel, books, CDs,
computer software&amp;
hardware, drugs, electronics,
flowers, groceries, toys-USA

Efficiency, Fulfillment, System
availability, Privacy

Parasuraman et al.,
2005 E-RecS-QUAL

Apparel, books, CDs,
computer software&amp;
hardware, drugs, electronics,

Responsiveness, Compensation,
Contact

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Bauer et al.,
2006 eTransQual
Park et al., 2007
Website quality

flowers, groceries, toys-USA
Online shopping websitesGermany
Online travel agencies
(OTA)-USA

Liu et al.,
2010 OA-SQ

C2C auction websitesTaiwan

Functionality, Enjoyment, Process,
Reliability, Responsiveness
Ease of use, Information, Security,
Responsiveness, Fulfillment
Efficiency, System availability,
Security, Compensation, Reputation,
Personalization, Playfulness.

Source: Author’s own work
Following a review of service quality scales, the study proposed a three-dimensional
framework. The dimensions of service quality measurements both in traditional and
electronic environments can be varied in different industries. As it was shown in
Table 1 above, the dimensions of all scales have been changed according to the
various industries in which each study was conducted. It was required to add
different dimensions to the scales to measure service quality in each industry. Since
every service industry has unique characteristics and requires unique dimensions for
measuring service quality, there is a requirement for the industry-specific national
index in assessing of service and e-service quality in different industries in a country.
The discussion in this research is about the need for industry-specific national
indices in measuring both traditional and electronic service quality in different
industries and countries. The industry-specific national service quality indices can be
developed such as the national customer satisfaction indices which were developed to
measure customer satisfaction level in different countries. National customer
satisfaction indices from the literature were shown below as a model example for
developing the industry-specific national service quality index.
National Customer Satisfaction Indices: A Model Example for the Proposed
Index
There has been a requirement for industry-specific national service quality indices
due to the unique characteristics of various industries and the different cultural
environment of countries. Since service quality is one of the components of customer
satisfaction (Ghobadian et al., 1994; McDougall and Levesque, 2000; Demirci Orel
et al., 2012; Chu et al., 2012), there are positive relations between service quality
and customer satisfaction. Because of these relations, national customer satisfaction

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indices which have existed in the literature can be a model for industry-specific
national service quality indices. Many different countries have developed their
national customer satisfaction indices which help the practitioners to be able to
understand their positions in an industry in terms of customer satisfaction.
The most known and used national customer satisfaction indices are such as: the
Swedish Customer Satisfaction Barometer-SSCB (Fornell, 1992; Anderson et al.,
1994), the American Customer Satisfaction Index-ACSI (Fornell et al., 1996), and
the European Customer Satisfaction Index-ECSI which was developed by the EOQ
(European Organisation for Quality) and EFQM (European Foundation for Quality
Management) and inspired by the SCSB and the ACSI (Kristensen et al., 1999;
Sahin, 2009). Except these indices, there have been many other national customer
satisfaction indices such as the German Customer Barometer (Meyer and Dornach,
1996), the Danish Customer Satisfaction Index (Martensen et al., 2000), the
Norwegian Customer Satisfaction Barometer (Andreassen and Lindestad, 1998), the
Pan-European Customer Satisfaction Index (Eklof and Westlund, 2002), the
Jordanian Customer Satisfaction Index (Al-Nasser et al., 2011), the Mexican User
Satisfaction Index (Calleros et al., 2012), the Chinese Customer Satisfaction Index
(Huang et al.,2011), the Turkish Customer Satisfaction Index (Turkyilmaz and
Ozkan,2007).
The American Customer Satisfaction Index was developed by Fornell et al. in 1996
and measures customer satisfaction level across the United States. The Turkish
Customer Satisfaction Index (TCSI) was developed by KA Research Limited
(KARL) in cooperation with Turkish Society for Quality under the license
agreement with the American Customer Satisfaction Index (KA Research Limited,
2011; Turkyilmaz and Ozkan, 2007; Zaim et al. 2010). The TCSI measures
customer satisfaction in various industries of Turkey.
Industrial Annual Measurement Plan is developed in order to measure customer
satisfaction level of various companies from different industries in the four quarters
of the year. The TCSI Industrial Annual Measurement Plan measures customer
satisfaction levels of companies from these industries (Kalder, 2014): 1st quarter:
LPG gas distributors, mobile phones, GSM operators, credit cards, fast food
restaurants, telecommunication; 2nd quarter: packaged waters, small household
appliances, fruit juices, petrol stations, airlines; 3rd quarter: margarine, liquid oil,
milk and milk products, canned foods, cleaning products, ice cream, meat and
poultry products, personal care; 4th quarter: television as electronic products, white
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goods, personal automobiles, health and automobile insurance, food retailer chains,
cargo companies, consumer banking. The sectoral based rankings according to the
TCSI indices and the industries’ most successful companies between the third
quarter of 2013 and the second quarter of 2014 were shown in Table 2 below.
Table 2: TCSI Ratios According to the Industries and Leading Companies
2013 3rd Quarter
Industry
Margarine:85
Liquid Oil:83
Milk Product:82
Canned food:82
Cleaning Product:82
Ice cream:80
Meat&amp;poultry:78
Personal care:78
2014 1st Quarter
Industry
LPG distributor:82
Mobile phone:76
GSMoperator:73
Credit card:71
Fast food restaurant:71
Telecommunication:70

Company
Unilever
Ana Gıda
Pınar
Tat
P&amp;G
Algida
Erpiliç
Evyap
Company
Aygaz
Iphone
Vodafone
Maximum card
Domino’s Pizza
Türk Telekom

2013 4th Quarter
Industry
Television:82
White Goods:80
Personal automobile:78
Insurance:76
Food retailer chain:76
Cargo company:75
Consumer banking:71

2014 2nd Quarter
Industry
Packaged water:79
Small home appliance:79
Fruit juice:77
Petrol station:77
Airlines:72

Company
Samsung
Arçelik
Volkswagen
Axa insurance
Bim
MNG cargo
Public: Ziraat
Private: İşBankası
Company
Erikli
Beko
Pınar
Opet
Turkish Airlines

Source: compiled from TMME 2013 3rd Q, 2013 4th Q, 2014 1st Q, and 2014 2nd Q.
In the service industry, since services are intangible it is hard to measure quality. The
industry-specific national service quality indices should be formed for each industry
and country similar to these national customer satisfaction indices. The main
difference between national customer satisfaction index and industry-specific
national service quality index is that national customer satisfaction index focuses on
just one country and it does not have any different dimensions for different
industries. It eliminates the diversities among industries. But industry-specific
national service quality index should have different dimensions for each unique
industry. Otherwise, it would become just national service quality index, not
industry-specific national service quality index.

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Conclusion
The importance of service quality is already well known (Lewis and Booms, 1983;
Grönroos, 1984; Parasuraman et al., 1985; Mangold and Babakus, 1990). In the
emerging service industry, it is important to measure the service quality. The first
finding of this study was the requirement of an industry-specific service quality
index. Since SERVQUAL was not valid for every industry, it was suggested that the
validity of SERVQUAL should be examined in a variety of service industries and the
adaptations of items in SERVQUAL for each industry should be organized (Finn
and Lamb, 1991; Carman, 1990; Babakus and Boller, 1992; Brown et al. 1993;
Ryan and Cliff, 1996). Moreover, Babakus and Boller (1992) emphasized the
requirement of industry-specific measures of service quality. In order to measure
service quality effectively in different industries, an industry-specific service quality
index should be developed since every industry has its different unique
characteristics. For example, the dimensions that measure the supermarket service
quality can be differed from the dimensions of service quality in car washing services
or health care services. The measurement of service quality in the retail industry
requires different scales since retail stores offer products and significant services
together. The Retail Service Quality Scale was developed to measure the service
quality in retailers. However, this scale is not sufficient for an industry based index.
This scale should be diversified for various retail types such as a scale for department
stores and another scale for supermarkets since department stores and supermarkets
offer different level of service due to their natures. Because of the differences among
the characteristics of each industry, it was highly suggested developing an industryspecific service quality index in this research.
The second finding of this study was the requirement of national service quality
index. Service quality can be differentiated in different countries since countries’
cultures affect customers’ perceptions on quality (Laroche et al., 2004). For example,
researchers from different countries (Siu and Cheung, 2001; Nakip et al., 2006;
Celik; 2011) have investigated service quality in retailers for years and the results
showed that there was significant differences on quality perceptions. Furrer et al.
(2000) argued that perceptions of service quality varied across cultural groups and
proposed Cultural Service Quality Index by testing SERVQUAL dimensions
correlated with Hofstede’s cultural dimensions (1980, 1991). Because of these
developments that show the importance of cultural differences, it was highly
suggested developing a national service quality index in this research.

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The main comprehensive result of this study was that a service quality index that
consists of both industry-specific and national dimensions should be developed
based on every different industry in a country since the unique characteristics of
these industries and cultural differences among countries. This review study
suggested that there is a general need for developing an industry-specific national
service quality index to be able to measure the unique service quality dimensions in
each industry. The index which was proposed to develop in the future was suggested
for the first time in this study.
Another result was that the national customer satisfaction indices which have existed
in the literature have been recommended as a model example for industry-specific
national service quality indices. After defining the problem with the help of the
literature review, national customer satisfaction indices were proposed as a solution
of the problem. Because of the close relations between service quality and customer
satisfaction, national customer satisfaction models can be taken as a fundamental
basis for developing industry-specific national service quality index. In the case of
taking the national customer satisfaction models as a basis for industry-specific
national service quality index, it would be helpful to show the relations between the
models.
The measurements at the second part of Table 1 called Scale Development Studies
in SQ are the most suitable examples for industry-specific national service quality
index since they focused on a specific industry in a country such as car rental services
(RENTQUAL) in Northern Cyprus, restaurant services (DINESERV) in USA, and
fitness center services (SQFS) in USA. However these measurements focused on a
specific industry in a country, they were inadequate in forming an industry-specific
national service quality index. They need to be improved in terms of creating
industry-specific national service quality index.
Developing an industry-specific national service quality index helps service
companies to find their unique industrial characteristics that should be improved
continuously in order to increase the service quality and serve the customers better.
E-service quality is an essential strategy for online retailers, and more important than
low price and web presence (Zeithaml et al., 2002). In order to develop e-service
quality, industry-specific national e-service quality index should be created.
Discovering the main dimensions that increase the service quality of online
companies enables them to gain competitive advantage in forming the websites and
offerings.
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Limitation and Further Research Directions
The limitation of the study was that the only limited numbers of studies (6 service
quality measurement studies, 9 replication or adaptation studies in service quality,
and 12 e-service quality measurement studies) from the literature could be reviewed
and grouped into three dimensions. Three-dimensional framework that analyzed the
service quality measurement studies into three groups according to industry,
country, and dimensions should be improved in further studies. Moreover, the
empirical studies on industry-specific national service quality index need to be
implemented in future researches. The dimensions of each service industry should be
classified and tested in terms of reliability and validity.
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                <text>Abstract: The purpose of this study is to show the requirement of industry-specific national service quality indices for measuring quality in both traditional and electronic services in various industries in a country. In this study, the literature about service and e-service quality measurements was reviewed, and a three-dimensional framework was developed. It was found out that the dimensions of each service quality measurement were all different from each other due to the different characteristics of the industries that each study has been conducted in. The study showed that there is a need for an industry-specific national service quality index and suggested that national customer satisfaction indices which have existed in the literature can be a model for industry-specific national service quality indices. An industry-specific national service quality index enables national companies to understand their unique industrial characteristics that needed to be improved continuously in order to increase service quality and gain competitive advantage. The index which was proposed to develop in the future was suggested for the first time in this study.    Keywords: Service quality; E-service quality; Service quality dimensions; National customer satisfaction indices; Turkish Customer Satisfaction Index (TCSI).</text>
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                    <text>A REVIEW ON SUSTAINABLE NEW FRUIT THINNING STRATEGIES
IN APPLE GROWING
Fatma Akıncı Yıldırım
Süleyman Demirel University, Isparta, Turkey
fatmayildirim@sdu.edu.tr
Adnan N.Yıldırım
Süleyman Demirel University, Isparta, Turkey
adnanyildirim@sdu.edu.tr
Bekir San
Süleyman Demirel University, Isparta, Turkey
bekirsan@sdu.edu.tr
Emel Kaçal
Fruit Research Station, Isparta, Turkey
emel.vural@gmail.com
Keywords: Thinning, fruit quality, Malus x domestica, organic growing.

ABSTRACT
Most modern high-density orchard systems, including apples, have the goals of attaining
sustainable, high yields with marketable fruit quality. Fruit quality is determined by size, skin
colour and shape, as well as by other features such as internal quality (eg. sugar contents) and
eating quality (e.g. crispness, juiciness). Fruit thinning is one of the most important cultural
practices for the improvement of fruit quality. Fruits are thinned by hand, mechanically and
chemically methods. Although hand thinning is the most reliability thinning method, it is much
more expensive than any type of chemical fruit thinning. To reduce the labor costs, around the
world, growers have been using chemical-synthetic thinning agents or plant hormones, such as
dinitro compounds, NAA (Naphthalene Acetic Acid), NAAm (Naphthalene Acid Amid),
carbaryl, etephon and GA3 (Gibberelic Acid). Whereas, using of these chemicals is not allowed
in certified organic apple growing. So, alternative thinning strategies are need for use in organic
apple orchards. For this purpose, many researchers tested different potential thinning compounds
such as plant oils, ATS (Ammonium thiosulphate), lime sulphur, starch, sodium bicarbonate,
sodium salt, soap and kaolin, which are considered safe for the environment and human health.

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SAN, Bekir
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