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BEHAVIOUR & INFORMATION TECHNOLOGY, 2002, VOL. 21, NO. 6, 373±385 
Shopping behaviour and preferences in 
e-commerce of Turkish and American university 
students: implications from cross-cultural design 
NANCY J. LIGHTNER{, MEHMET M. YENISEY{, A. ANT OZOK} and 
GAVRIEL SALVENDY} 
{University of South Carolina, Moore School of Business, Columbia, SC, USA; e-mail: nlightner@moore.sc.edu 
{Istanbul Technical University, Faculty of Management, Department of Industrial Engineering 80680 Macka, 
Istanbul, Turkey; e-mail: yenisey@itu.edu.tr 
}University of Maryland at Baltimore County, Department of Information Systems, Baltimore, MD, USA; 
e-mail: ozok@umbc.edu 
}Purdue University, School of Industrial Engineering, West Lafayette, IN, USA and Department of Industrial 
Engineering, Tsinghua University, Beijing, PR China; e-mail: salvendy@ecn.purdue.edu 
Abstract. With internationalization of commerce and busi-ness 
and with increased use of e-business and e-commerce, it is 
important to ensure that these systems can be eVectively 
utilized across cultural boundaries. To increase eVectiveness, 
appropriate changes and modi®cations in the systems may be 
required. With this in mind, a survey of 300 Turkish university 
students was undertaken to assess their on-line shopping and 
behaviour preferences, and these were compared with the 
results derived from 64 US university students. The results 
provide guidelines for speci®c design of features for the Turkish 
population that may not be necessary for the US population. 
1. Introduction 
The World-Wide Web enables the Internet as a global 
marketing and commerce tool, with access in almost 
every country. Using international credit cards and 
shipping services, it is now possible to sell products 
around the globe from a Web server located practically 
anywhere. Even with economic uncertainty and dot-com 
crashes, the Forrester Online Retail Index indicates that 
consumers spent nearly $4 billion online in July of 2001, 
down from a high of $4.3 billion in April (Forrester.com 
2001a). Forrester also estimates that European online 
sales will reach EUR152 billion in 2006 (Forrester.com 
2001b). Indications are that there is a movement of sales 
on a global basis to the Internet, with less-developed 
countries experiencing a lag behind the USA (Forres-ter. 
com 2000). With this movement, considerations 
about attracting and retaining online consumers from 
diVerent global regions and cultures is gaining in 
importance. While cross-cultural diVerences in general 
have fascinated researchers for decades due to the 
potential conceptual and design implications for pro-ducts, 
never before have diVerences in shopping 
preferences had such a potential impact. Responding 
to cultural preferences through site design and imple-mentation 
might increase global sales. 
Cultural diVerences in interfaces in general exist in such 
things as writing protocols. Dong and Salvendy (1999) 
found that diVerences in the Chinese andWestern writing 
styles (top to bottom in Chinese and left to right in 
Western populations) resulted in performance increases 
when menus were designed vertically for Chinese and 
horizontally for US subjects. Online commerce incorpo-rates 
interface issues such as this through shopping sites 
as the exclusive means of communication with consumers 
as well as meeting the expectations of shopping in general. 
When shopping behaviour that is distinctly diVerent from 
that in the USA is conceptualized, the Turkish bazaar 
may come to mind. The busy atmosphere coupled with 
the ability to negotiate terms more resembles the New 
Behaviour & Information Technology 
ISSN 0144-929X print/ISSN 1362-3001 online # 2002 Taylor & Francis Ltd 
http://www.tandf.co.uk/journals 
DOI: 10.1080/014492902100007131 6
374 N. J. Lightner et al. 
York Stock Exchange than a shopping mall in the USA. 
If cultural online shopping preferences exist, a compar-ison 
between Turkish and US subjects might reveal 
signi®cant ones. With this in mind, a survey of Turkish 
university students was undertaken to identify electronic 
shopping (e-shopping) behaviour and preferences. The 
results of the survey are analysed and then compared to 
the results of a similar survey of young adult Americans. 
Conclusions are drawn concerning eVorts to respond to 
cultural diVerences in shopping and technological pre-ferences 
and concerns. The next section presents the 
background literature which guided the survey construc-tion. 
The third section discusses the survey questions and 
the fourth section covers the analysis and results of the 
survey. The ®fth section discusses the results and the sixth 
section compares the results from the Turkish survey to a 
similar one conducted in the USA. Finally, the last 
section makes suggestions on accommodating cultural 
diVerences in online shopping Web sites. 
2. Background literature 
Helander and Khalid (2000) propose a model for 
human factors research in e-commerce that includes 
three subsystems; the Web environment, the Customer, 
and the Web technology. The Web environment consists 
of design features of the site that aid in customers’ 
decisions during the buying process. Examples given are 
merchandise descriptions, navigation aids and feedback 
during the visit. Past surveys have indicated that the 
Web environment can either in¯uence shoppers to 
purchase or deter them from purchasing (Tilson et al. 
1998). Recommendations in this area include providing 
rich product descriptions in the form of text and pictures 
(Jarvenpaa and Todd 1997, Lightner and Eastman 2002) 
and providing spatial navigation systems (Kim 1999). 
The Web environment is the area of the e-commerce 
process that companies may manipulate to achieve a 
competitive advantage in their ®eld. Designing an 
appealing and useful Web site may help companies 
realize gains from their on-line presence. Whether 
cultural diVerences exist in the preferences of consumers 
for Web site design is one focus of this research. 
The component called Web Technology includes 
features such as search agents, tools and artefacts used 
for control, and display techniques such as visual and 
auditory. These concerns are also a consideration in the 
selection of sites, especially for certain classes of users 
(Rogers and Rajkumar 1999). The Web Technology 
component incorporates special input/output abilities 
such as speech recognition and braille capabilities. 
At the centre of the e-commerce experience is the 
individual user that makes the decision not only to 
purchase on-line, but where to make that purchase and 
whether to shop at that site again. This component 
incorporates demographic and psychographic variables 
as modulating variables, which aid in the physical and 
cognitive processes that occur when considering a site 
and a purchase decision. User characteristics that have 
empirical support for impacting online behaviour and 
preferences are gender (Teo and Lim 2000), and a 
`wired’ lifestyle (Bellman et al. 1999). 
3. Survey 
This research investigates aspects of a Web site that 
are desirable and will possibly in¯uence consumers to 
purchase online. A survey was developed and imple-mented 
in an attempt to discover online shopping 
behaviour and preferences of Turkish university stu-dents 
as they relate to the three components proposed 
by Helander and Khalid (2000) . The survey contains 29 
questions (see Appendix A). Three questions asked for 
the demographic information of gender, education level 
of father and family income and four queried on general 
Internet use. Most survey questions were derived from 
signi®cant results in previous studies. One question asks 
about the use of text and pictures as a preference (Tilson 
et al. 1998, Jarvenpaa and Todd 1997, Lightner and 
Eastman 2002), and one question ranks categories of 
products for online purchase consideration. Twenty 
questions ask participants to respond using a 7-point 
Likert scale ranging from `very strongly disagree’ to 
`very strongly agree’. All are positively coded. Of these 
questions, nine were derived from the `Shopping 
behaviour preferences’ category and include one ques-tion 
each about experiencing products through physical 
contact (Vaughn 1986), buying out of curiosity (Menon 
and Kahn 1998), the amount of detail and the accuracy 
of information received (Helander and Khalid 2000), 
product and price comparison (Helander and Khalid 
2000), knowing the opinions of others (Jarvenpaa and 
Todd 1997), preference for credit card payment (Tilson 
et al. 1998), and a mega-store format or a boutique 
environment (Jarvenpaa and Todd 1997). A question 
was included that concerned the ability to negotiate for 
a price. This question was derived from the metaphor of 
the Turkish bazaar, and implies a more interactive 
scenario than currently available in online auctions. 
Seven of the questions were from the `Site design 
preferences’ category and include items concerning 
transaction and navigation speed (Fuccella and Pizza-lota 
1997), preference of pictures over text (Jarvenpaa 
and Todd 1997, Lightner and Eastman 2002), presence 
of a shopping cart (Tilson et al. 1998), product 
classi®cation according to brand name or product
Shopping behaviour and preferences in e-commerce of Turkish and American university students 375 
family (Jarvenpaa and Todd 1997), and site organiza-tion 
speed (Fuccella and Pizzalota 1997). Five questions 
were from the `Technology Issues’ category and include 
one concerning transaction security, two concerning the 
use of credit cards online and one about personal 
information privacy (Tilson et al. 1998). One queried on 
an eVective search mechanism (Jarvenpaa and Todd 
1997). We considered the issues of security and privacy 
as technology issues because technologies such as 
cookies and databases allow for the tracking and storing 
of personal information, including credit card informa-tion, 
making it accessible to online hackers. 
Students from a large Turkish university were asked to 
participate in the paper-based survey. All of the 303 
respondents were junior and senior undergraduate stu-dents 
from the Department of Industrial Engineering at 
the Technical University of Istanbul in Istanbul, Turkey. 
The data was collected during May and June of 2001. 
4. Analysis and results 
The ®rst step in data analysis was an examination of 
the responses to discern patterns in them. In an eVort to 
explain the diVerence between those that have purchased 
on line and those that have not, t-test comparisons were 
conducted. Descriptive statistics also aid in determining 
the most important attributes in an online shopping 
experience. Finally, correlation analysis is used to 
evaluate which aspects of online shopping are related. 
The primary goal of this study is to de®ne online 
shopping behaviour and preferences of a young, 
educated Turkish population. The overall internal 
reliability as measured by Cronbach’s alpha was 0.67. 
In this section, the results from the survey are presented. 
4.1. Pro®le of respondents 
As shown in tables 1 and 2, the average respondent is 
male and uses the Internet almost every day, predomi-nantly 
for communication (by e-mail, chat and instant 
messaging) and learning. Since all were university 
students, the education gauge used was the father’s 
education level, of which 41% indicated a level of 
Bachelor’s degree. Of those that responded with a family 
income range, 31% indicated the highest level of more 
than one billion Lira. This represents above average 
income, equivalent to approximately $50 000 USD. It 
appears as though their educational environment has an 
eVect on online behaviour, with 80% of respondents 
checking `to learn new things’ as a main use of the 
Internet. The survey question asking about the use of 
the Internet allows for multiple selections. Surprisingly, 
most respondents (82%) indicated that they have never 
purchased on line. As a result, these results are more 
Table 1. Demographic pro®le of Turkish respondents. 
Variable Ð description (possibilities) n Mean Std. Dev. 
Gender: Male=1, Female=2 303 1.36 0.48 
Highest education your father achieved: 269 3.95 1.61 
3=High school, 4=2 year university, 5=Bachelor degree 
Family income: (2=201 ± 400 million, 3=401 ± 600 million, 244 4.08 1.63 
4=601 ± 800 million, 5=801 ± 1000 million) 
Frequency of Internet use: 1=once a day or more, 302 1.50 0.64 
2=1 ± 4 times a week, 3=1 ± 4 times a month 
Frequency of Internet shopping: 1=never, 2=less than once a 302 1.31 0.73 
year, 3=2 ± 5 times per year, 4=over 5 times per year 
Table 2. Internet usage behaviour of Turkish respondents 
(n=303). 
Survey question Percentage 
3. I use the Internet for . . . 
Communication 86.8 
Learn new things 79.5 
News 68.3 
Entertainment 67.7 
Software 26.7 
Banking 18.5 
Shopping 8.6 
5. If you have never shopped online, why? 
I don’t trust shopping on the Web 62.7 
It is complex 5.0 
I can’t ®nd what I look for 4.3 
I have heard bad things about online shopping 4.0 
15. What do you want to buy online mostly? Percentage 
(select in order of priority, 1: most often of No. 1 
and 6: least often) Ranking (%) 
House wares 26.1 
Food 15.8 
Cleaning materials 13.2 
Health 12.2 
Clothing 11.9 
Entertainment 11.2
376 N. J. Lightner et al. 
about general shopping preferences and behaviour than 
actual online preferences and behaviour. 
Of those respondents that have never shopped online, 
83% indicated that the reason was that they do not trust 
shopping on the Web. 
Table 3 contains the areas of diVerence between those 
that had experience purchasing online and those that do 
not. There are several trends evident in these responses. 
Those that do not purchase online also spend less time 
online performing other tasks and indicate less of a need 
for transaction speed. They are more concerned about 
security, as indicated by the higher scores in the credit 
card risk and credit card reluctance questions and the 
lower score in the question indicating a preference to 
pay with a credit card instead of cash. Those that do 
purchase online buy housewares online less frequently 
than is speculated by those who do not. Perhaps the 
most important diVerence between these groups is the 
income brackets. Those that do not purchase online 
reported less income (between 400 ± 800 million Lira) 
than those that do (801 ± 1000 million Lira). 
4.2. Shopping behaviour preferences 
Table 4 presents the ®ndings for the 20 questions in 
the survey that were derived from the three categories of 
`Shopping behaviour preferences’, `Site design prefer-ences’ 
and `Technology issues’. The questions are 
ordered according to the category speci®cation and 
within that, descending by the mean score. The overall 
ranking in importance for the item is contained in 
column 1. As the last row of the table indicates, the 
average response rated a 5.45, or in between the `agree’ 
and `strongly agree’ scale items. 
These results reveal that of the three categories, the 
Turkish respondents were most concerned about the 
`Technology Issues’ of security and privacy, with all four 
questions scoring above the overall mean. Jarvenpaa 
and Todd (1997) suggested that two types of risk are 
prevalent in the online world. Personal risk is due to 
credit card fraud. The low response to `I have heard bad 
things about online shopping’ , plus the ®rst place 
ranking of transaction security by respondents rein-forces 
that transaction security is the major issue with 
online shopping. 
The questions rating the highest from the `Site design 
preferences’ category were speed-related, with site 
navigation and organization speed ranking fourth and 
sixth and an eVective search mechanism ranking tenth. 
One may argue that a good search engine hastens 
locating relevant product information, as evidenced by 
the high correlation coe cient between the search tool 
and the navigation speed questions (r=0.46Ðsee Table 
5). 
`Customer Preference’ questions ranking the highest 
included the need for accurate and detailed information, 
price negotiation, product and price comparisons 
available and physical contact with the product. The 
other type of risk as suggested by Jarvenpaa and Todd 
(1997) is performance risk. Performance risk exists 
because the product may not function as expected. 
The high value placed on accurate and detailed 
information, ranking them number two and three 
respectively, indicate that performance risk is another 
major concern to potential online shoppers. 
Table 5 contains the overall correlation matrix for 
these 20 questions, organized by question category and 
ranking within the category. Speed and security-related 
questions were highly correlated and also ranked high 
in overall importance. Gender diVerences were evident 
in these results, reinforcing the ®ndings from Teo and 
Lim (2000). Female respondents reported higher 
family incomes and were more concerned with 
Table 3. DiVerences between those who purchase online and those who do not ± Turkish survey. Higher values indicate stronger 
agreement. 
Do Purchase Don’t purchase 
Variable mean n mean n t-value Pr 4|t| 
Frequency of Internet use 1.25 56 1.56 246 3.33 0.001 
Why don’t you use to shop 1.93* 15 1.30** 215 72.93 0.004 
Transaction speed 6.10 56 5.15 247 74.63 50.0001 
Pay with a credit card 4.75 56 3.97 247 73.01 0.003 
Credit card risk 4.79 56 5.90 247 5.84 50.0001 
Purchase housewares 2.33 45 3.11 221 2.63 0.009 
Reluctance to use credit card 5.07 56 6.03 245 4.62 50.0001 
Income 5.00 46 3.87 198 74.39 50.0001 
Shaded boxes indicate signi®cantly higher values for respondents who purchase online. 
*Indicates a more frequent response of `I can’t ®nd what I looked for’. 
**Indicates a more frequent response of `I don’t trust shopping on the web’.
Shopping behaviour and preferences in e-commerce of Turkish and American university students 377 
Table 4. Descriptive statistics for the 20 7-point scale questions in the survey. 
Rank Questions Mean Std. Dev. Total (n) 
transaction security. Men preferred price negotiation, 
physical contact with the product and faster transac-tion 
speed. 
5. Discussion: Turkish population behaviour and 
preferences 
The results of this survey of Turkish university 
students indicates that issues related to the relatively 
new technology of online shopping are of most concern. 
Transaction security had the highest mean score and 
lowest standard deviation (mean=6.58, s.d.=0.74) of 
any question, indicating a high degree of concern for a 
secure online environment. While information privacy 
and issues with credit card payment had mean scores 
above the overall average, they ranked fourth (tied with 
navigation speed), ninth and twelfth. This concern for 
security and privacy may be due to the popular press 
reporting credit card and identi®cation theft that has 
occurred in the online world. We speculated that online 
transaction security concerns may arise from infrequent 
credit card purchases in general, so in March 2002 we 
Responses 
conducted a survey of 98 Turkish university students to 
determine their general credit card use. Results from 
that survey indicate that 41% have a credit card, with 
71% of those using it at least two to three times a 
month. See Table 6 for more detailed results. The use of 
credit cards has probably risen in the year since the 
original survey, as credit and credit card addiction has 
expanded globally, and younger consumers around the 
globe are becoming comfortable incurring debt by using 
small personal loans, usually obtained through credit 
cards (Neusner 2002). 
Accurate and detailed product information ranked 
second and third overall, indicating a preference for 
investigating products online and using online informa-tion 
as a reliable information source. The related 
question concerning product and price comparison 
ranked eighth. These respondents may already be 
accustomed to the convenience of the Web for ®nding 
school-related information and feel they should be able 
to trust what they ®nd. 
Speed was the next highest rated area, with site 
navigation speed tied for fourth with information 
privacy and site organization speed ranked sixth. It is 
Shopping behaviour preferences 
2 Accurate information 6.49 0.82 302 
3 Detailed information 6.40 0.75 303 
7 Price negotiation 5.91 1.37 301 
8 Product and price comparison 5.89 1.10 301 
11 Physical contact with the product 5.74 1.46 302 
15 Knowing the opinion of others 4.67 1.52 301 
17 Mega-store versus boutique store format 4.57 1.66 300 
18 Credit card payment 4.12 1.77 303 
20 Purchase a new product out of curiosity 3.91 1.53 303 
Site design preferences 
4 Site navigation speed 6.17 0.95 301 
6 Site organization speed 6.09 1.12 303 
10 EVective search mechanism 5.78 1.13 301 
13 Transaction speed 5.33 1.43 303 
14 EVective shopping cart 5.07 1.34 299 
16 Pictures or text for information 4.58 1.32 303 
19 Classi®cation by brand-name or product family 4.06 1.70 296 
Technology issues 
1 Transaction security 6.58 0.74 302 
4 Personal information privacy 6.17 1.38 300 
9 Risk of giving credit card number on line 5.85 1.45 301 
12 Reluctance to give credit card number on line 5.70 1.36 303 
Overall mean: 5.45* 
*Items scoring above the overall mean are in bold.
Table 5. Correlation matrix for demographics and the 20 7-point scale questions in the survey*. 
expected that site and transaction speed is important. 
The ranking below security and product information 
indicates that these respondents value a quality experi-ence 
over a hasty one. 
Two aspects of a shopping experience that are 
currently available online, but not widely, are price 
negotiation and product and price comparison. These 
questions scored above the overall mean and were 
ranked seventh and eighth. Price negotiation is available 
to a degree at auction sites, but only for products placed 
there by individuals. Auction sites typically sell used 
products and not the wide variety of new merchandise. 
Name-your-own-pric e sites, such as Priceline.com, also 
incorporate a type of price negotiation, but it is not the 
real-time, interactive exchange that takes place in a 
market or bazaar. Product and price comparisons are 
possible within sites and through shop-bots. However, 
thorough product and price comparisons are best 
performed manually. 
Physical contact with a product scored above the 
overall mean and was ranked eleventh of the 20 
questions. This is one area that will only be resolved 
in real time when transporter s of the Star Trek2 
television show type are developed. Experiencing a 
product before the actual purchase is only available 
online with electronic products such as software, since a 
demonstration can occur online. Physical products 
suVer from the same lack of contact that hinders 
catalogue merchants. Consumers take a chance that 
the product is represented fully and fairly and that if 
they are not satis®ed, the return process will accom-modate 
them. When asked what products they would 
378 N. J. Lightner et al. 
r
Shopping behaviour and preferences in e-commerce of Turkish and American university students 379 
like to buy online, survey respondents indicated that 
they would purchase house wares most often. House-wares, 
such as small decorative and functional pieces, 
can be described fully with text and pictures and are 
familiar enough that surprises may be avoided. 
Low scores on the questions concerning `knowing the 
opinion of others’ and `purchase a new product out of 
curiosity’ does not bode well for the persuasive sell or 
the marketing of new products. While these consumer 
characteristics are not related to online shopping, 
current marketing practices may be personalized to an 
individual user in an online environment. 
6. Comparison to US results 
6.1. Comparison of survey results 
A survey of 64 undergraduate university students was 
conducted in the USA during April of 2001 that was 
similar in nature to the Turkish survey. The overall 
reliability measure for the US survey was acceptable 
(Cronbach a=0.76). The pro®le of the average US 
respondents was similar to the Turkish one in that there 
were more males than females and the family income 
was high ($61 000 ± $100 000 per year). Interestingly, 
67% indicated that they shop online once a month or 
less and 27% said they shopped online between two and 
®ve times a month. Clearly, university students in the 
USA are not frequent online shoppers either with 94% 
shopping online ®ve times a month or less. T-test 
analysis between those that are frequent shoppers and 
those that are not did not result in any statistically 
signi®cant (a50.05) diVerences in the responses between 
these groups. 
The Turkish and US surveys contained ®ve questions 
that were identical. These questions concerned the 
accuracy of product information, site navigation speed, 
site organization speed, product comparison and the 
presence of a shopping cart mechanism. Security issues 
were included in two of the US questions, while general 
security was included in one of the Turkish survey 
questions. Comparisons to this question are made for 
both the US questions separately. T-test results indicate 
that Turkish and US students have similar concerns, but 
they are exaggerated in the Turkish subjects. The main 
diVerences between the perception and behaviour of 
Turkish and US university students about e-shopping 
are: 
. Turkish subjects are more interested than Amer-icans 
in the speed of retrieving information 
(t=2.45, p=0.01); 
. Price comparison (t=3.63, p=0.0002) and per-ceived 
accuracy of information (t=4.77, 
p50.00001) are more important to the Turkish 
students than to the USA; 
. Turkish students are more concerned with Internet 
security than US students (t=5.25, p50.00001). 
In addition, diVerences exist between Turkish re-spondents 
based on whether they purchase online or 
not (see Table 3). Therefore, those who purchase online 
and those who do not are considered separately. Table 
7 contains the results from the similar questions on the 
surveys between the Turkish respondents that shop 
online and the more frequent shoppers from the US 
survey. This data shows that the relative importance of 
the issues is very similar between the two cultures. 
Security issues ranked ®rst, achieving the highest 
means and lowest standard deviations in both popula-tions. 
Information accuracy ranked second in both 
populations. Speed concerns ranked next and product 
and price comparisons and a shopping cart were 
ranked ®fth and last respectively, in both populations. 
While the relative order of the issues was very similar 
between the populations, the mean Turkish scores were 
around half a point higher in every instance. Five out 
of the six times the Turkish results were signi®cantly 
higher. 
Table 8 contains results from the comparison between 
the Turkish respondents that do not shop online and the 
US respondents that either do not shop online or shop 
very little on line. The results re¯ect similar ranking in 
both populations, with security ranking ®rst and site 
organization speed ranking fourth, comparisons ranking 
®fth and the presence of a shopping cart ranking last. 
The rankings diVered in that the ranking of information 
accuracy and site navigation speed was switched 
between the two populations. Three of the six scores 
were signi®cantly higher for the Turkish population 
than the US responses. 
Table 6. Results of credit card usage survey of 98 Turkish 
students. 
Credit card use 
% of 
respondents 
% within 
response 
Do not currently have a credit card 59 
Currently have a credit card 41 
Regularly use 
(2 ± 3 times per month) 
71 
Infrequently use 
(*1 time per month) 
24 
Used once in their life 5 
Have never used a credit card, 
regardless of whether currently 
have one or not 
27
380 N. J. Lightner et al. 
These results indicate similar areas of importance and 
concern in electronic shopping for Turkish and US 
university students. 
6.2. Economic factors 
Data recently collected by the US National Tele-communications 
and Information Administration 
(NTIA) indicates that demographic data including 
age, income, education, and Internet usage while at 
work (US Department of Commerce 2002) correlates 
with Internet usage. These variables are aVected by 
multi-collinearity, so it is di cult to determine which 
factor has the most in¯uence. However, our survey 
essentially controlled for these factors by only collect-ing 
responses from university students who are of 
similar age, family income bracket and education level. 
All of the students had access to the Internet via their 
University. When comparing data gathered about the 
Table 7. Comparison between Turkish and US participants who do purchase on line. 
Turkish survey US survey 
Category Survey question Mean 
Std. 
Dev. n Mean 
Std. 
Dev. n 
Per cent diV. 
of means* t-value p-value 
Technology issues Security{ 6.54 0.74 56 6.05/ 
5.70 
1.07/ 
1.45 
21/ 
20 
7.5/12.8 2.27/ 
Table 8. Comparison between Turkish and US participants who do not purchase on line. 
Turkish survey US survey 
Category Survey question Mean 
Std. 
Dev. n Mean 
Std. 
Dev. n 
3.30 
Per cent diV. 
of means* t-value p-value 
Technology Issues Security{ 6.59 0.74 246 6.07/ 
6.12 
0.99/ 
1.00 
43 7.9/7.2 4.04/ 
3.67 
<0.00001 
Shopping behaviour 
preferences 
Information accuracy 6.50 0.81 246 6.02 1.02 42 7.3 3.36 0.0004 
Site design 
preferences 
Site navigation speed 6.17 0.97 245 6.14 0.80 43 0.40 0.40 0.43 
Site design 
preferences 
Site organization speed 6.03 1.13 247 5.79 0.98 42 4.1 1.32 0.09 
Shopping behaviour 
preferences 
Product-price comparison 5.87 1.09 245 5.28 1.22 43 10.1 3.22 0.0007 
Site design 
preferences 
Shopping cart 5.04 1.32 243 5.00 1.40 43 0.80 0.18 0.43 
Shaded boxes indicate results from the Turkish survey that are signi®cantly higher than results from the US survey. 
*Per cent diV. of means = [(Turkish mean ± US mean)/(Turkish mean)] * 100. 
{Security question comparison between one question on Turkish survey and two on US survey. 
0.01/ 
0.0007 
Shopping behaviour 
preferences 
Information accuracy 6.48 0.87 56 5.67 1.53 21 12.6 2.93 0.002 
Site design 
preferences 
Site navigation speed 6.20 0.84 56 5.67 1.32 21 8.5 2.09 0.02 
Site design 
preferences 
Site organization speed 6.32 1.03 56 5.57 1.29 21 11.9 2.66 0.005 
Shopping behaviour 
preferences 
Product-price comparison 5.98 1.15 56 5.43 1.29 21 9.2 1.81 0.04 
Site design 
preferences 
Shopping cart 5.18 1.43 56 5.14 1.24 21 0.70 0.11 0.46 
Shaded boxes indicate results from the Turkish survey that are signi®cantly higher than results from the US survey 
*Per cent diV. of means = [(Turkish mean ± US mean)/(Turkish mean)] * 100. 
{Security question comparison between one question on Turkish survey and two on US survey.
Shopping behaviour and preferences in e-commerce of Turkish and American university students 381 
Internet use of the USA and Turkey, it is evident that 
technology use is less prevalent in Turkey and is more 
expensive (The World Bank Group 2002). Considering 
the average per capita income, converted using 
purchasing power parity rates, is reported as 9210 
USD for upper middle income Turks in 2000, while it 
is 27 770 USD in the USA, the use of Internet 
technology is signi®cantly more expensive in Turkey 
than in the USA. However, economic factors and 
availability of the Internet do not fully explain the 
diVerences in responses between the country surveys. A 
search of available literature did not ®nd comparisons 
of technology use between Turkey and the USA. 
7. Conclusions 
As this survey shows, online shopping in a country 
considered less technologically advanced than the USA 
is still in its infancy. Based on this survey, the following 
guidelines are proposed for the design of e-commerce for 
use by Turkish university students: 
. Embed the perception of security in e-commerce 
sites; 
. Provide bidding possibilities for product purchase; 
. Develop technology to provide the perception of 
physical feelings for products. 
As evidenced by this study, security remains one of 
the largest issues in the online world. Even though credit 
card companies do not hold cardholders liable when 
theft occurs, the apparent vulnerability concerns shop-pers 
to the point that they avoid purchasing online. 
Trust has been shown to guide social behaviour and 
especially decision-making (Luhmann 1979). Conveying 
trustworthiness by providing a secure and private 
shopping environment seems paramount for online 
success. These results reinforce previous studies and 
reports that indicate the historical importance of these 
issues for e-commerce and e-business (Forcht and Fore 
1995, Soh et al. 1997, Furnell and Karweni 1999, Saito 
et al. 2001, Matthews et al. 2001). Seemingly, if security 
concerns were addressed, more of the population of 
Turkey and the USA would purchase online. Gefen 
(2000) reports that familiarity builds trust in the online 
world, indicating that as shoppers become more 
comfortable with the technology and speci®c vendors, 
they may purchase more. 
The second guideline suggests that allowing for price 
negotiations would provide a more satisfying shopping 
environment. The technology required to provide such 
an environment involves software modules, called 
agents. Agents such as this have been developed for 
research activities (Kersten and Noronha 1999, Liang 
and Doong 2000). The study conducted by Liang and 
Doong (2000) indicates that Chinese consumers prefer 
shopping at online stores that oVer bargaining even 
when the price they achieve is greater than at a store that 
does not oVer bargaining. Bargaining is commonplace in 
Taiwan as it is in Turkey, but only when prices are not 
marked (www.taiwanho.com/shopping/). Currently, e-shopping 
sites do not oVer the type of interactive 
bargaining available in the agent-aided research envir-onments, 
as the technology investment is signi®cant. 
The third recommendation is to provide as much 
realism in the product presentation as possible. Again, 
the technical di culties encountered when addressing 
senses other than vision online are daunting. This 
presents one of the biggest drawbacks of the cyber 
world, which is its lack of realism (Bonsor 2001). The 
®rst additional sense addressed online is that of smell, 
with various companies making smells available via the 
Internet. TriSenx Corporation allows for smells and 
tastes to be sent via a network (www.trisenx.com). The 
conveyance of smells and tastes are limited and are still 
not a substitute for having the product in hand. 
Further investigation is required to discover how 
much of the diVerences between Turkish and US 
students are due to shopping behaviour preferences, Site 
design preferences or technology issues. For example, 
the ®nding that Turkish students are more concerned 
with information retrieval speed may re¯ect faster online 
access in the USA. Therefore, organizing site informa-tion 
to facilitate fast access may aid those with slower, 
dialup access, such as those in less technologically 
developed countries. This ®nding is supported in other 
research (Fucella and Pizzalota 1997, Larson and 
Czerwinski 1998). New technologies such as Extensible 
Markup Language (XML) are touted as enabling data 
sorting without re-retrieving it from the Web server, 
greatly increasing site response times. Download and site 
organization speed is dependent on technology as is 
Internet security. Strict use of encryption techniques and 
®rewalls, as well as credit card company and vendor 
policies, already provides a relatively secure environ-ment. 
However, current and prospective online shoppers 
still seem uncomfortable with it. 
Acknowledgements 
This research has been made possible with the support 
of the Istanbul Technical University Overseas Research 
Support Program. 
Special thanks to Dr Kubra Dogan Yenisey, Winston 
Bonawi-tan and Dr Xiaowen Fang for their invaluable 
assistance during the data collection phase of this study.
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customer in electronic commerce. Applied Ergonomics, 31, 
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electronic shopping on the world wide web. International 
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usability in customer interfaces ± trustworthiness of cyber-banking 
system interfaces. Interacting with Computers, 10, 
1 ± 29. 
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electronic commerce. International Journal of Electronic 
Commerce, 4, 23 ± 43. 
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Shopping behaviour and preferences in e-commerce of Turkish and American university students 383 
Appendix A 
QUESTIONNAIRE 
This is a survey to obtain information about diVerences between Turkish and American people for on-line shopping. 
This survey is conducted by two professors from Turkey and the USA. The information obtained will be used for some 
suggestions about web sites constructed for Turkish people. If you would like to share your e-mail address, we would 
be pleased to share with you the survey results. We would like to express our thanks to you in advance for your kind 
cooperation. My e-mail address is (Optional): ________________________________ . We would most appreciate your 
good cooperation in responding to each of the questions below and returning the questionnaire to us. Thank you. 
(1) Gender 
* Male * Female 
(2) How often do you use the Internet? 
* once a day or more * 1 ± 4 times a week * 1 ± 4 times a month * less than once a month * never 
(3) I use the internet for ........ (choose as many as applicable) 
* news * software * entertainment * banking * communication * to learn new things * shopping 
(4) Frequency of purchasing on-line: 
* never * less than once a year * 2 ± 5 times per year * over 5 times per year 
(5) If you have never shopped on-line, why? 
* I don’t trust shopping on the web 
* I can’t ®nd what I looked for 
* It is complex 
* I have heard bad things about online shopping 
For responses to questions 6 to 27 (with exception of 11 and 15) please use the scale below. 
Very strongly 
disagree 
Strongly 
disagree Disagree 
Neither disagree 
nor agree Agree 
Strongly 
agree 
(6) If negotiation is possible, I want to try negotiation with the vendor for a cheaper price. 
* 1 * 2 * 3 * 4 * 5 * 6 * 7 
(7) If I have no previous information about the product, it is important to me to touch the product, to feel it physically. 
* 1 * 2 * 3 * 4 * 5 * 6 * 7 
(8) Time is an important issue for me. I want to shop as quickly as possible. 
* 1 * 2 * 3 * 4 * 5 * 6 * 7 
(9) I always prefer paying with credit card to paying with cash. 
* 1 * 2 * 3 * 4 * 5 * 6 * 7 
(10) I may buy a new introduced or an interesting product because of my curiosity. 
* 1 * 2 * 3 * 4 * 5 * 6 * 7 
(11) I like the sites which have . . . .. (Please ®ll in the blank with the most proper statement for you). 
* more pictures than text * qual amount of pictures and text * more text than picture 
Very strongly 
agree 
1 2 3 4 5 6 7
384 N. J. Lightner et al. 
(12) It is risky to give credit card number on the Internet. 
* 1 * 2 * 3 * 4 * 5 * 6 * 7 
(13) Detailed information about products is important for me. 
* 1 * 2 * 3 * 4 * 5 * 6 * 7 
(14) I prefer pictures to text for information about product. 
* 1 * 2 * 3 * 4 * 5 * 6 * 7 
(15) What do you want to buy online mostly? (Select in order of priority, 1:most often, and 6:least often) 
_____ food _____ clothing _____ cleaning materials _____ entertainment _____ health _____ house ware 
(16) When I buy from an on-line vendor, a site that is organized in such a way as to minimize the buying time will get 
my business done. 
* 1 * 2 * 3 * 4 * 5 * 6 * 7 
(17) When I buy from an on-line vendor, transaction security issues must be emphasized. 
* 1 * 2 * 3 * 4 * 5 * 6 * 7 
(18) When I buy from an on-line vendor, ®nding the information that I want quickly is most important to me. 
* 1 * 2 * 3 * 4 * 5 * 6 * 7 
(19) When I buy from an on-line vendor, knowing that the information on the site is true is most important to me. 
* 1 * 2 * 3 * 4 * 5 * 6 * 7 
(20) When I buy from an on-line vendor, whether the site provides an eVective means of product and price comparison 
is most important to me. 
* 1 * 2 * 3 * 4 * 5 * 6 * 7 
(21) When I buy from an on-line vendor, the eVective use of the shopping cart mechanism is most important to me. 
* 1 * 2 * 3 * 4 * 5 * 6 * 7 
(22) When I buy from an on-line vendor, I prefer brand-name classi®cation to product based classi®cation. 
* 1 * 2 * 3 * 4 * 5 * 6 * 7 
(23) When I buy from an on-line vendor, to obtain other people’s opinions and experiences about products I don’t 
know is important to me. 
* 1 * 2 * 3 * 4 * 5 * 6 * 7 
(24) When I buy from an on-line vendor, a well-designed search mechanism is most important for me. 
* 1 * 2 * 3 * 4 * 5 * 6 * 7 
(25) When I buy from an on-line vendor, I prefer stores having all kind of products to product speci®c stores. 
* 1 * 2 * 3 * 4 * 5 * 6 * 7 
(26) When I buy from an on-line vendor, It is important to me that the vendor keeps my personal information secret. 
* 1 * 2 * 3 * 4 * 5 * 6 * 7 
(27) When I buy from an on-line vendor, I hesitate to give my credit card number. 
* 1 * 2 * 3 * 4 * 5 * 6 * 7
Shopping behaviour and preferences in e-commerce of Turkish and American university students 385 
The following questions are optional: 
(28) Highest education of your father: 
* Elementary school * Secondary school * High school * 2 year university * Bachelor 
* Master or doctorate 
(29) Total monthly income of your family: 
* less than 200 Million Lira * 201-400 Million Lira * 401 ± 600 Million Lira 
* 601 ± 800 Million * 801 ± 1000 Million Lira * More than 1 Billion Lira 
Thank you very much for participating in this survey.
Ps13
Ps13

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  • 1. BEHAVIOUR & INFORMATION TECHNOLOGY, 2002, VOL. 21, NO. 6, 373±385 Shopping behaviour and preferences in e-commerce of Turkish and American university students: implications from cross-cultural design NANCY J. LIGHTNER{, MEHMET M. YENISEY{, A. ANT OZOK} and GAVRIEL SALVENDY} {University of South Carolina, Moore School of Business, Columbia, SC, USA; e-mail: nlightner@moore.sc.edu {Istanbul Technical University, Faculty of Management, Department of Industrial Engineering 80680 Macka, Istanbul, Turkey; e-mail: yenisey@itu.edu.tr }University of Maryland at Baltimore County, Department of Information Systems, Baltimore, MD, USA; e-mail: ozok@umbc.edu }Purdue University, School of Industrial Engineering, West Lafayette, IN, USA and Department of Industrial Engineering, Tsinghua University, Beijing, PR China; e-mail: salvendy@ecn.purdue.edu Abstract. With internationalization of commerce and busi-ness and with increased use of e-business and e-commerce, it is important to ensure that these systems can be eVectively utilized across cultural boundaries. To increase eVectiveness, appropriate changes and modi®cations in the systems may be required. With this in mind, a survey of 300 Turkish university students was undertaken to assess their on-line shopping and behaviour preferences, and these were compared with the results derived from 64 US university students. The results provide guidelines for speci®c design of features for the Turkish population that may not be necessary for the US population. 1. Introduction The World-Wide Web enables the Internet as a global marketing and commerce tool, with access in almost every country. Using international credit cards and shipping services, it is now possible to sell products around the globe from a Web server located practically anywhere. Even with economic uncertainty and dot-com crashes, the Forrester Online Retail Index indicates that consumers spent nearly $4 billion online in July of 2001, down from a high of $4.3 billion in April (Forrester.com 2001a). Forrester also estimates that European online sales will reach EUR152 billion in 2006 (Forrester.com 2001b). Indications are that there is a movement of sales on a global basis to the Internet, with less-developed countries experiencing a lag behind the USA (Forres-ter. com 2000). With this movement, considerations about attracting and retaining online consumers from diVerent global regions and cultures is gaining in importance. While cross-cultural diVerences in general have fascinated researchers for decades due to the potential conceptual and design implications for pro-ducts, never before have diVerences in shopping preferences had such a potential impact. Responding to cultural preferences through site design and imple-mentation might increase global sales. Cultural diVerences in interfaces in general exist in such things as writing protocols. Dong and Salvendy (1999) found that diVerences in the Chinese andWestern writing styles (top to bottom in Chinese and left to right in Western populations) resulted in performance increases when menus were designed vertically for Chinese and horizontally for US subjects. Online commerce incorpo-rates interface issues such as this through shopping sites as the exclusive means of communication with consumers as well as meeting the expectations of shopping in general. When shopping behaviour that is distinctly diVerent from that in the USA is conceptualized, the Turkish bazaar may come to mind. The busy atmosphere coupled with the ability to negotiate terms more resembles the New Behaviour & Information Technology ISSN 0144-929X print/ISSN 1362-3001 online # 2002 Taylor & Francis Ltd http://www.tandf.co.uk/journals DOI: 10.1080/014492902100007131 6
  • 2. 374 N. J. Lightner et al. York Stock Exchange than a shopping mall in the USA. If cultural online shopping preferences exist, a compar-ison between Turkish and US subjects might reveal signi®cant ones. With this in mind, a survey of Turkish university students was undertaken to identify electronic shopping (e-shopping) behaviour and preferences. The results of the survey are analysed and then compared to the results of a similar survey of young adult Americans. Conclusions are drawn concerning eVorts to respond to cultural diVerences in shopping and technological pre-ferences and concerns. The next section presents the background literature which guided the survey construc-tion. The third section discusses the survey questions and the fourth section covers the analysis and results of the survey. The ®fth section discusses the results and the sixth section compares the results from the Turkish survey to a similar one conducted in the USA. Finally, the last section makes suggestions on accommodating cultural diVerences in online shopping Web sites. 2. Background literature Helander and Khalid (2000) propose a model for human factors research in e-commerce that includes three subsystems; the Web environment, the Customer, and the Web technology. The Web environment consists of design features of the site that aid in customers’ decisions during the buying process. Examples given are merchandise descriptions, navigation aids and feedback during the visit. Past surveys have indicated that the Web environment can either in¯uence shoppers to purchase or deter them from purchasing (Tilson et al. 1998). Recommendations in this area include providing rich product descriptions in the form of text and pictures (Jarvenpaa and Todd 1997, Lightner and Eastman 2002) and providing spatial navigation systems (Kim 1999). The Web environment is the area of the e-commerce process that companies may manipulate to achieve a competitive advantage in their ®eld. Designing an appealing and useful Web site may help companies realize gains from their on-line presence. Whether cultural diVerences exist in the preferences of consumers for Web site design is one focus of this research. The component called Web Technology includes features such as search agents, tools and artefacts used for control, and display techniques such as visual and auditory. These concerns are also a consideration in the selection of sites, especially for certain classes of users (Rogers and Rajkumar 1999). The Web Technology component incorporates special input/output abilities such as speech recognition and braille capabilities. At the centre of the e-commerce experience is the individual user that makes the decision not only to purchase on-line, but where to make that purchase and whether to shop at that site again. This component incorporates demographic and psychographic variables as modulating variables, which aid in the physical and cognitive processes that occur when considering a site and a purchase decision. User characteristics that have empirical support for impacting online behaviour and preferences are gender (Teo and Lim 2000), and a `wired’ lifestyle (Bellman et al. 1999). 3. Survey This research investigates aspects of a Web site that are desirable and will possibly in¯uence consumers to purchase online. A survey was developed and imple-mented in an attempt to discover online shopping behaviour and preferences of Turkish university stu-dents as they relate to the three components proposed by Helander and Khalid (2000) . The survey contains 29 questions (see Appendix A). Three questions asked for the demographic information of gender, education level of father and family income and four queried on general Internet use. Most survey questions were derived from signi®cant results in previous studies. One question asks about the use of text and pictures as a preference (Tilson et al. 1998, Jarvenpaa and Todd 1997, Lightner and Eastman 2002), and one question ranks categories of products for online purchase consideration. Twenty questions ask participants to respond using a 7-point Likert scale ranging from `very strongly disagree’ to `very strongly agree’. All are positively coded. Of these questions, nine were derived from the `Shopping behaviour preferences’ category and include one ques-tion each about experiencing products through physical contact (Vaughn 1986), buying out of curiosity (Menon and Kahn 1998), the amount of detail and the accuracy of information received (Helander and Khalid 2000), product and price comparison (Helander and Khalid 2000), knowing the opinions of others (Jarvenpaa and Todd 1997), preference for credit card payment (Tilson et al. 1998), and a mega-store format or a boutique environment (Jarvenpaa and Todd 1997). A question was included that concerned the ability to negotiate for a price. This question was derived from the metaphor of the Turkish bazaar, and implies a more interactive scenario than currently available in online auctions. Seven of the questions were from the `Site design preferences’ category and include items concerning transaction and navigation speed (Fuccella and Pizza-lota 1997), preference of pictures over text (Jarvenpaa and Todd 1997, Lightner and Eastman 2002), presence of a shopping cart (Tilson et al. 1998), product classi®cation according to brand name or product
  • 3. Shopping behaviour and preferences in e-commerce of Turkish and American university students 375 family (Jarvenpaa and Todd 1997), and site organiza-tion speed (Fuccella and Pizzalota 1997). Five questions were from the `Technology Issues’ category and include one concerning transaction security, two concerning the use of credit cards online and one about personal information privacy (Tilson et al. 1998). One queried on an eVective search mechanism (Jarvenpaa and Todd 1997). We considered the issues of security and privacy as technology issues because technologies such as cookies and databases allow for the tracking and storing of personal information, including credit card informa-tion, making it accessible to online hackers. Students from a large Turkish university were asked to participate in the paper-based survey. All of the 303 respondents were junior and senior undergraduate stu-dents from the Department of Industrial Engineering at the Technical University of Istanbul in Istanbul, Turkey. The data was collected during May and June of 2001. 4. Analysis and results The ®rst step in data analysis was an examination of the responses to discern patterns in them. In an eVort to explain the diVerence between those that have purchased on line and those that have not, t-test comparisons were conducted. Descriptive statistics also aid in determining the most important attributes in an online shopping experience. Finally, correlation analysis is used to evaluate which aspects of online shopping are related. The primary goal of this study is to de®ne online shopping behaviour and preferences of a young, educated Turkish population. The overall internal reliability as measured by Cronbach’s alpha was 0.67. In this section, the results from the survey are presented. 4.1. Pro®le of respondents As shown in tables 1 and 2, the average respondent is male and uses the Internet almost every day, predomi-nantly for communication (by e-mail, chat and instant messaging) and learning. Since all were university students, the education gauge used was the father’s education level, of which 41% indicated a level of Bachelor’s degree. Of those that responded with a family income range, 31% indicated the highest level of more than one billion Lira. This represents above average income, equivalent to approximately $50 000 USD. It appears as though their educational environment has an eVect on online behaviour, with 80% of respondents checking `to learn new things’ as a main use of the Internet. The survey question asking about the use of the Internet allows for multiple selections. Surprisingly, most respondents (82%) indicated that they have never purchased on line. As a result, these results are more Table 1. Demographic pro®le of Turkish respondents. Variable Ð description (possibilities) n Mean Std. Dev. Gender: Male=1, Female=2 303 1.36 0.48 Highest education your father achieved: 269 3.95 1.61 3=High school, 4=2 year university, 5=Bachelor degree Family income: (2=201 ± 400 million, 3=401 ± 600 million, 244 4.08 1.63 4=601 ± 800 million, 5=801 ± 1000 million) Frequency of Internet use: 1=once a day or more, 302 1.50 0.64 2=1 ± 4 times a week, 3=1 ± 4 times a month Frequency of Internet shopping: 1=never, 2=less than once a 302 1.31 0.73 year, 3=2 ± 5 times per year, 4=over 5 times per year Table 2. Internet usage behaviour of Turkish respondents (n=303). Survey question Percentage 3. I use the Internet for . . . Communication 86.8 Learn new things 79.5 News 68.3 Entertainment 67.7 Software 26.7 Banking 18.5 Shopping 8.6 5. If you have never shopped online, why? I don’t trust shopping on the Web 62.7 It is complex 5.0 I can’t ®nd what I look for 4.3 I have heard bad things about online shopping 4.0 15. What do you want to buy online mostly? Percentage (select in order of priority, 1: most often of No. 1 and 6: least often) Ranking (%) House wares 26.1 Food 15.8 Cleaning materials 13.2 Health 12.2 Clothing 11.9 Entertainment 11.2
  • 4. 376 N. J. Lightner et al. about general shopping preferences and behaviour than actual online preferences and behaviour. Of those respondents that have never shopped online, 83% indicated that the reason was that they do not trust shopping on the Web. Table 3 contains the areas of diVerence between those that had experience purchasing online and those that do not. There are several trends evident in these responses. Those that do not purchase online also spend less time online performing other tasks and indicate less of a need for transaction speed. They are more concerned about security, as indicated by the higher scores in the credit card risk and credit card reluctance questions and the lower score in the question indicating a preference to pay with a credit card instead of cash. Those that do purchase online buy housewares online less frequently than is speculated by those who do not. Perhaps the most important diVerence between these groups is the income brackets. Those that do not purchase online reported less income (between 400 ± 800 million Lira) than those that do (801 ± 1000 million Lira). 4.2. Shopping behaviour preferences Table 4 presents the ®ndings for the 20 questions in the survey that were derived from the three categories of `Shopping behaviour preferences’, `Site design prefer-ences’ and `Technology issues’. The questions are ordered according to the category speci®cation and within that, descending by the mean score. The overall ranking in importance for the item is contained in column 1. As the last row of the table indicates, the average response rated a 5.45, or in between the `agree’ and `strongly agree’ scale items. These results reveal that of the three categories, the Turkish respondents were most concerned about the `Technology Issues’ of security and privacy, with all four questions scoring above the overall mean. Jarvenpaa and Todd (1997) suggested that two types of risk are prevalent in the online world. Personal risk is due to credit card fraud. The low response to `I have heard bad things about online shopping’ , plus the ®rst place ranking of transaction security by respondents rein-forces that transaction security is the major issue with online shopping. The questions rating the highest from the `Site design preferences’ category were speed-related, with site navigation and organization speed ranking fourth and sixth and an eVective search mechanism ranking tenth. One may argue that a good search engine hastens locating relevant product information, as evidenced by the high correlation coe cient between the search tool and the navigation speed questions (r=0.46Ðsee Table 5). `Customer Preference’ questions ranking the highest included the need for accurate and detailed information, price negotiation, product and price comparisons available and physical contact with the product. The other type of risk as suggested by Jarvenpaa and Todd (1997) is performance risk. Performance risk exists because the product may not function as expected. The high value placed on accurate and detailed information, ranking them number two and three respectively, indicate that performance risk is another major concern to potential online shoppers. Table 5 contains the overall correlation matrix for these 20 questions, organized by question category and ranking within the category. Speed and security-related questions were highly correlated and also ranked high in overall importance. Gender diVerences were evident in these results, reinforcing the ®ndings from Teo and Lim (2000). Female respondents reported higher family incomes and were more concerned with Table 3. DiVerences between those who purchase online and those who do not ± Turkish survey. Higher values indicate stronger agreement. Do Purchase Don’t purchase Variable mean n mean n t-value Pr 4|t| Frequency of Internet use 1.25 56 1.56 246 3.33 0.001 Why don’t you use to shop 1.93* 15 1.30** 215 72.93 0.004 Transaction speed 6.10 56 5.15 247 74.63 50.0001 Pay with a credit card 4.75 56 3.97 247 73.01 0.003 Credit card risk 4.79 56 5.90 247 5.84 50.0001 Purchase housewares 2.33 45 3.11 221 2.63 0.009 Reluctance to use credit card 5.07 56 6.03 245 4.62 50.0001 Income 5.00 46 3.87 198 74.39 50.0001 Shaded boxes indicate signi®cantly higher values for respondents who purchase online. *Indicates a more frequent response of `I can’t ®nd what I looked for’. **Indicates a more frequent response of `I don’t trust shopping on the web’.
  • 5. Shopping behaviour and preferences in e-commerce of Turkish and American university students 377 Table 4. Descriptive statistics for the 20 7-point scale questions in the survey. Rank Questions Mean Std. Dev. Total (n) transaction security. Men preferred price negotiation, physical contact with the product and faster transac-tion speed. 5. Discussion: Turkish population behaviour and preferences The results of this survey of Turkish university students indicates that issues related to the relatively new technology of online shopping are of most concern. Transaction security had the highest mean score and lowest standard deviation (mean=6.58, s.d.=0.74) of any question, indicating a high degree of concern for a secure online environment. While information privacy and issues with credit card payment had mean scores above the overall average, they ranked fourth (tied with navigation speed), ninth and twelfth. This concern for security and privacy may be due to the popular press reporting credit card and identi®cation theft that has occurred in the online world. We speculated that online transaction security concerns may arise from infrequent credit card purchases in general, so in March 2002 we Responses conducted a survey of 98 Turkish university students to determine their general credit card use. Results from that survey indicate that 41% have a credit card, with 71% of those using it at least two to three times a month. See Table 6 for more detailed results. The use of credit cards has probably risen in the year since the original survey, as credit and credit card addiction has expanded globally, and younger consumers around the globe are becoming comfortable incurring debt by using small personal loans, usually obtained through credit cards (Neusner 2002). Accurate and detailed product information ranked second and third overall, indicating a preference for investigating products online and using online informa-tion as a reliable information source. The related question concerning product and price comparison ranked eighth. These respondents may already be accustomed to the convenience of the Web for ®nding school-related information and feel they should be able to trust what they ®nd. Speed was the next highest rated area, with site navigation speed tied for fourth with information privacy and site organization speed ranked sixth. It is Shopping behaviour preferences 2 Accurate information 6.49 0.82 302 3 Detailed information 6.40 0.75 303 7 Price negotiation 5.91 1.37 301 8 Product and price comparison 5.89 1.10 301 11 Physical contact with the product 5.74 1.46 302 15 Knowing the opinion of others 4.67 1.52 301 17 Mega-store versus boutique store format 4.57 1.66 300 18 Credit card payment 4.12 1.77 303 20 Purchase a new product out of curiosity 3.91 1.53 303 Site design preferences 4 Site navigation speed 6.17 0.95 301 6 Site organization speed 6.09 1.12 303 10 EVective search mechanism 5.78 1.13 301 13 Transaction speed 5.33 1.43 303 14 EVective shopping cart 5.07 1.34 299 16 Pictures or text for information 4.58 1.32 303 19 Classi®cation by brand-name or product family 4.06 1.70 296 Technology issues 1 Transaction security 6.58 0.74 302 4 Personal information privacy 6.17 1.38 300 9 Risk of giving credit card number on line 5.85 1.45 301 12 Reluctance to give credit card number on line 5.70 1.36 303 Overall mean: 5.45* *Items scoring above the overall mean are in bold.
  • 6. Table 5. Correlation matrix for demographics and the 20 7-point scale questions in the survey*. expected that site and transaction speed is important. The ranking below security and product information indicates that these respondents value a quality experi-ence over a hasty one. Two aspects of a shopping experience that are currently available online, but not widely, are price negotiation and product and price comparison. These questions scored above the overall mean and were ranked seventh and eighth. Price negotiation is available to a degree at auction sites, but only for products placed there by individuals. Auction sites typically sell used products and not the wide variety of new merchandise. Name-your-own-pric e sites, such as Priceline.com, also incorporate a type of price negotiation, but it is not the real-time, interactive exchange that takes place in a market or bazaar. Product and price comparisons are possible within sites and through shop-bots. However, thorough product and price comparisons are best performed manually. Physical contact with a product scored above the overall mean and was ranked eleventh of the 20 questions. This is one area that will only be resolved in real time when transporter s of the Star Trek2 television show type are developed. Experiencing a product before the actual purchase is only available online with electronic products such as software, since a demonstration can occur online. Physical products suVer from the same lack of contact that hinders catalogue merchants. Consumers take a chance that the product is represented fully and fairly and that if they are not satis®ed, the return process will accom-modate them. When asked what products they would 378 N. J. Lightner et al. r
  • 7. Shopping behaviour and preferences in e-commerce of Turkish and American university students 379 like to buy online, survey respondents indicated that they would purchase house wares most often. House-wares, such as small decorative and functional pieces, can be described fully with text and pictures and are familiar enough that surprises may be avoided. Low scores on the questions concerning `knowing the opinion of others’ and `purchase a new product out of curiosity’ does not bode well for the persuasive sell or the marketing of new products. While these consumer characteristics are not related to online shopping, current marketing practices may be personalized to an individual user in an online environment. 6. Comparison to US results 6.1. Comparison of survey results A survey of 64 undergraduate university students was conducted in the USA during April of 2001 that was similar in nature to the Turkish survey. The overall reliability measure for the US survey was acceptable (Cronbach a=0.76). The pro®le of the average US respondents was similar to the Turkish one in that there were more males than females and the family income was high ($61 000 ± $100 000 per year). Interestingly, 67% indicated that they shop online once a month or less and 27% said they shopped online between two and ®ve times a month. Clearly, university students in the USA are not frequent online shoppers either with 94% shopping online ®ve times a month or less. T-test analysis between those that are frequent shoppers and those that are not did not result in any statistically signi®cant (a50.05) diVerences in the responses between these groups. The Turkish and US surveys contained ®ve questions that were identical. These questions concerned the accuracy of product information, site navigation speed, site organization speed, product comparison and the presence of a shopping cart mechanism. Security issues were included in two of the US questions, while general security was included in one of the Turkish survey questions. Comparisons to this question are made for both the US questions separately. T-test results indicate that Turkish and US students have similar concerns, but they are exaggerated in the Turkish subjects. The main diVerences between the perception and behaviour of Turkish and US university students about e-shopping are: . Turkish subjects are more interested than Amer-icans in the speed of retrieving information (t=2.45, p=0.01); . Price comparison (t=3.63, p=0.0002) and per-ceived accuracy of information (t=4.77, p50.00001) are more important to the Turkish students than to the USA; . Turkish students are more concerned with Internet security than US students (t=5.25, p50.00001). In addition, diVerences exist between Turkish re-spondents based on whether they purchase online or not (see Table 3). Therefore, those who purchase online and those who do not are considered separately. Table 7 contains the results from the similar questions on the surveys between the Turkish respondents that shop online and the more frequent shoppers from the US survey. This data shows that the relative importance of the issues is very similar between the two cultures. Security issues ranked ®rst, achieving the highest means and lowest standard deviations in both popula-tions. Information accuracy ranked second in both populations. Speed concerns ranked next and product and price comparisons and a shopping cart were ranked ®fth and last respectively, in both populations. While the relative order of the issues was very similar between the populations, the mean Turkish scores were around half a point higher in every instance. Five out of the six times the Turkish results were signi®cantly higher. Table 8 contains results from the comparison between the Turkish respondents that do not shop online and the US respondents that either do not shop online or shop very little on line. The results re¯ect similar ranking in both populations, with security ranking ®rst and site organization speed ranking fourth, comparisons ranking ®fth and the presence of a shopping cart ranking last. The rankings diVered in that the ranking of information accuracy and site navigation speed was switched between the two populations. Three of the six scores were signi®cantly higher for the Turkish population than the US responses. Table 6. Results of credit card usage survey of 98 Turkish students. Credit card use % of respondents % within response Do not currently have a credit card 59 Currently have a credit card 41 Regularly use (2 ± 3 times per month) 71 Infrequently use (*1 time per month) 24 Used once in their life 5 Have never used a credit card, regardless of whether currently have one or not 27
  • 8. 380 N. J. Lightner et al. These results indicate similar areas of importance and concern in electronic shopping for Turkish and US university students. 6.2. Economic factors Data recently collected by the US National Tele-communications and Information Administration (NTIA) indicates that demographic data including age, income, education, and Internet usage while at work (US Department of Commerce 2002) correlates with Internet usage. These variables are aVected by multi-collinearity, so it is di cult to determine which factor has the most in¯uence. However, our survey essentially controlled for these factors by only collect-ing responses from university students who are of similar age, family income bracket and education level. All of the students had access to the Internet via their University. When comparing data gathered about the Table 7. Comparison between Turkish and US participants who do purchase on line. Turkish survey US survey Category Survey question Mean Std. Dev. n Mean Std. Dev. n Per cent diV. of means* t-value p-value Technology issues Security{ 6.54 0.74 56 6.05/ 5.70 1.07/ 1.45 21/ 20 7.5/12.8 2.27/ Table 8. Comparison between Turkish and US participants who do not purchase on line. Turkish survey US survey Category Survey question Mean Std. Dev. n Mean Std. Dev. n 3.30 Per cent diV. of means* t-value p-value Technology Issues Security{ 6.59 0.74 246 6.07/ 6.12 0.99/ 1.00 43 7.9/7.2 4.04/ 3.67 <0.00001 Shopping behaviour preferences Information accuracy 6.50 0.81 246 6.02 1.02 42 7.3 3.36 0.0004 Site design preferences Site navigation speed 6.17 0.97 245 6.14 0.80 43 0.40 0.40 0.43 Site design preferences Site organization speed 6.03 1.13 247 5.79 0.98 42 4.1 1.32 0.09 Shopping behaviour preferences Product-price comparison 5.87 1.09 245 5.28 1.22 43 10.1 3.22 0.0007 Site design preferences Shopping cart 5.04 1.32 243 5.00 1.40 43 0.80 0.18 0.43 Shaded boxes indicate results from the Turkish survey that are signi®cantly higher than results from the US survey. *Per cent diV. of means = [(Turkish mean ± US mean)/(Turkish mean)] * 100. {Security question comparison between one question on Turkish survey and two on US survey. 0.01/ 0.0007 Shopping behaviour preferences Information accuracy 6.48 0.87 56 5.67 1.53 21 12.6 2.93 0.002 Site design preferences Site navigation speed 6.20 0.84 56 5.67 1.32 21 8.5 2.09 0.02 Site design preferences Site organization speed 6.32 1.03 56 5.57 1.29 21 11.9 2.66 0.005 Shopping behaviour preferences Product-price comparison 5.98 1.15 56 5.43 1.29 21 9.2 1.81 0.04 Site design preferences Shopping cart 5.18 1.43 56 5.14 1.24 21 0.70 0.11 0.46 Shaded boxes indicate results from the Turkish survey that are signi®cantly higher than results from the US survey *Per cent diV. of means = [(Turkish mean ± US mean)/(Turkish mean)] * 100. {Security question comparison between one question on Turkish survey and two on US survey.
  • 9. Shopping behaviour and preferences in e-commerce of Turkish and American university students 381 Internet use of the USA and Turkey, it is evident that technology use is less prevalent in Turkey and is more expensive (The World Bank Group 2002). Considering the average per capita income, converted using purchasing power parity rates, is reported as 9210 USD for upper middle income Turks in 2000, while it is 27 770 USD in the USA, the use of Internet technology is signi®cantly more expensive in Turkey than in the USA. However, economic factors and availability of the Internet do not fully explain the diVerences in responses between the country surveys. A search of available literature did not ®nd comparisons of technology use between Turkey and the USA. 7. Conclusions As this survey shows, online shopping in a country considered less technologically advanced than the USA is still in its infancy. Based on this survey, the following guidelines are proposed for the design of e-commerce for use by Turkish university students: . Embed the perception of security in e-commerce sites; . Provide bidding possibilities for product purchase; . Develop technology to provide the perception of physical feelings for products. As evidenced by this study, security remains one of the largest issues in the online world. Even though credit card companies do not hold cardholders liable when theft occurs, the apparent vulnerability concerns shop-pers to the point that they avoid purchasing online. Trust has been shown to guide social behaviour and especially decision-making (Luhmann 1979). Conveying trustworthiness by providing a secure and private shopping environment seems paramount for online success. These results reinforce previous studies and reports that indicate the historical importance of these issues for e-commerce and e-business (Forcht and Fore 1995, Soh et al. 1997, Furnell and Karweni 1999, Saito et al. 2001, Matthews et al. 2001). Seemingly, if security concerns were addressed, more of the population of Turkey and the USA would purchase online. Gefen (2000) reports that familiarity builds trust in the online world, indicating that as shoppers become more comfortable with the technology and speci®c vendors, they may purchase more. The second guideline suggests that allowing for price negotiations would provide a more satisfying shopping environment. The technology required to provide such an environment involves software modules, called agents. Agents such as this have been developed for research activities (Kersten and Noronha 1999, Liang and Doong 2000). The study conducted by Liang and Doong (2000) indicates that Chinese consumers prefer shopping at online stores that oVer bargaining even when the price they achieve is greater than at a store that does not oVer bargaining. Bargaining is commonplace in Taiwan as it is in Turkey, but only when prices are not marked (www.taiwanho.com/shopping/). Currently, e-shopping sites do not oVer the type of interactive bargaining available in the agent-aided research envir-onments, as the technology investment is signi®cant. The third recommendation is to provide as much realism in the product presentation as possible. Again, the technical di culties encountered when addressing senses other than vision online are daunting. This presents one of the biggest drawbacks of the cyber world, which is its lack of realism (Bonsor 2001). The ®rst additional sense addressed online is that of smell, with various companies making smells available via the Internet. TriSenx Corporation allows for smells and tastes to be sent via a network (www.trisenx.com). The conveyance of smells and tastes are limited and are still not a substitute for having the product in hand. Further investigation is required to discover how much of the diVerences between Turkish and US students are due to shopping behaviour preferences, Site design preferences or technology issues. For example, the ®nding that Turkish students are more concerned with information retrieval speed may re¯ect faster online access in the USA. Therefore, organizing site informa-tion to facilitate fast access may aid those with slower, dialup access, such as those in less technologically developed countries. This ®nding is supported in other research (Fucella and Pizzalota 1997, Larson and Czerwinski 1998). New technologies such as Extensible Markup Language (XML) are touted as enabling data sorting without re-retrieving it from the Web server, greatly increasing site response times. Download and site organization speed is dependent on technology as is Internet security. Strict use of encryption techniques and ®rewalls, as well as credit card company and vendor policies, already provides a relatively secure environ-ment. However, current and prospective online shoppers still seem uncomfortable with it. Acknowledgements This research has been made possible with the support of the Istanbul Technical University Overseas Research Support Program. Special thanks to Dr Kubra Dogan Yenisey, Winston Bonawi-tan and Dr Xiaowen Fang for their invaluable assistance during the data collection phase of this study.
  • 10. References BONSOR, K. 2001, How Internet Odors Will Work, HowstuV-works. com [Online] January 5. Available: http://www.how-stuVworks. com/internet-odor.htm, accessed September 27, 2002. DONG, J. and SALVENDY, G. 1999, Designing Menus for the Chinese Population: Horizontal or Vertical? Behaviour and Information Technology, 18(6), 467 ± 471. FORCHT K and FORE R. 1995, Security issues and concerns with the Internet, Internet Research-Electronic Networking Appli-cations and Policy. 5, 23+. Forrester.com 2000, Go East III: Internet Business in Russia, Forrester.com [Online] September. Available: http://www. forrester.com/ER /Research /Report/0,1338,11491,00.html , accessed September 27, 2002. Forrester.com 2001a, Consumers Spent Nearly $4 Billion Online In July, According To The Forrester Research Online Retail Index, Forrester.com [Online] August 22. Available: http://www.forrester.com/ER/Press/Release/ 0,1769,621,00.html , accessed September 27, 2002. Forrester.com 2001b, Online Shopping Is Alive, And Eur-opean Retailers Will Reap _103 Billion In Gross Pro®ts Through 2006, Forrester Asserts, Forrester.com [Online] July 23. Available: http://www.forrester.com/ER/Press/Re-lease/ 0,1769,600,00.html , accessed September 27, 2002. FURNELL, S. and KARWENI, T. 1999, Security implications of electronic commerce: a survey of consumers and business. Internet Research ± Electronic Networking Applications and Policy, 9, 372 ± 382. GEFEN, D. 2000. E-commerce: The Role of Familiarity and Trust. Omega, 28, 725 ± 737. HELANDER, M. G. and KHALID, H. M. 2000, Modeling the customer in electronic commerce. Applied Ergonomics, 31, 609 ± 619. JARVENPAA, S. and TODD, P. 1997, Consumer reactions to electronic shopping on the world wide web. International Journal of Electronic Commerce, 1(2), 59 ± 88. KIM, J. and MOON, J. 2000, Designing towards emotional usability in customer interfaces ± trustworthiness of cyber-banking system interfaces. Interacting with Computers, 10, 1 ± 29. LIANG, T. and DOONG, H. 2000, EVect of bargaining in electronic commerce. International Journal of Electronic Commerce, 4, 23 ± 43. LUHMANN, N. 1979, Trust and power (Chichester, UK: Wiley) [translation from German]. MANDEL, N. and JOHNSON, E. 1999, Constructing values on-line: Can web pages change what you want? Advances in Consumer Research, 26, 478 ± 478. MATTHEWS, S, NIX, W. and BERLACK, E. 2001, Internet privacy, security is next hurdle for oil and gas industry. Oil & Gas Journal, 99, 82 ± 84. NEUSNER, N. 2002. Credit addiction goes global, U.S. News & World Report, March 25, pp. 35 ± 36. ROGERS, M. and RAJKUMAR, T. M. 1999, Developing electronic commerce web sites for the visually impaired. Systems Management, Winter, 15 ± 25. SAITO, T., HASE, M. HATANAKA, M. and SONEHARA, N. 2001, Provides convenience and security that transcend real-world shopping, NTT Review, 13, 14 ± 19. SOH, C., MAH, Q., GAN, F., CHEW, D. and REID, E. 1997, The use of the Internet for business: The experience of early adopters in Singapore, Internet Research ± Electronic Net-working Applications and Policy, 7, 217+. TEO, T. S. H. and LIM, V. K. G. 2000, Gender diVerences in internet usage and task preferences, Behaviour and Informa-tion Technology, 19(4), 283 ± 295. TILSON, R., DONG, J., MARTIN, S. and KIECHE, E. 1998, Factors and principles aVecting the usability of four e-commerce sites. Proceedings of Human Factors and the Web, http:// www.research.Microsoft.com//users/marycz/hfweb98/til-son/ index.htm. Accessed September 13, 2002. U.S. Department of Commerce, 2002, A Nation Online: How Americans Are Expanding Their Use of the Internet, [Online] February. Available: http://www.ntia.doc.gov/ntia-home/ dn/, accessed March 20, 2002. VAUGHN, R. (1986), How Advertising Works: A Planning Model Revisited, Journal of Advertising (February-March), 57 ± 66. The World Bank Group, 2002, Country Data, [Online] January. Available: http://www.worldbank.org/data/coun-trydata/ countrydata.html, accessed March 20, 2002 382 N. J. Lightner et al.
  • 11. Shopping behaviour and preferences in e-commerce of Turkish and American university students 383 Appendix A QUESTIONNAIRE This is a survey to obtain information about diVerences between Turkish and American people for on-line shopping. This survey is conducted by two professors from Turkey and the USA. The information obtained will be used for some suggestions about web sites constructed for Turkish people. If you would like to share your e-mail address, we would be pleased to share with you the survey results. We would like to express our thanks to you in advance for your kind cooperation. My e-mail address is (Optional): ________________________________ . We would most appreciate your good cooperation in responding to each of the questions below and returning the questionnaire to us. Thank you. (1) Gender * Male * Female (2) How often do you use the Internet? * once a day or more * 1 ± 4 times a week * 1 ± 4 times a month * less than once a month * never (3) I use the internet for ........ (choose as many as applicable) * news * software * entertainment * banking * communication * to learn new things * shopping (4) Frequency of purchasing on-line: * never * less than once a year * 2 ± 5 times per year * over 5 times per year (5) If you have never shopped on-line, why? * I don’t trust shopping on the web * I can’t ®nd what I looked for * It is complex * I have heard bad things about online shopping For responses to questions 6 to 27 (with exception of 11 and 15) please use the scale below. Very strongly disagree Strongly disagree Disagree Neither disagree nor agree Agree Strongly agree (6) If negotiation is possible, I want to try negotiation with the vendor for a cheaper price. * 1 * 2 * 3 * 4 * 5 * 6 * 7 (7) If I have no previous information about the product, it is important to me to touch the product, to feel it physically. * 1 * 2 * 3 * 4 * 5 * 6 * 7 (8) Time is an important issue for me. I want to shop as quickly as possible. * 1 * 2 * 3 * 4 * 5 * 6 * 7 (9) I always prefer paying with credit card to paying with cash. * 1 * 2 * 3 * 4 * 5 * 6 * 7 (10) I may buy a new introduced or an interesting product because of my curiosity. * 1 * 2 * 3 * 4 * 5 * 6 * 7 (11) I like the sites which have . . . .. (Please ®ll in the blank with the most proper statement for you). * more pictures than text * qual amount of pictures and text * more text than picture Very strongly agree 1 2 3 4 5 6 7
  • 12. 384 N. J. Lightner et al. (12) It is risky to give credit card number on the Internet. * 1 * 2 * 3 * 4 * 5 * 6 * 7 (13) Detailed information about products is important for me. * 1 * 2 * 3 * 4 * 5 * 6 * 7 (14) I prefer pictures to text for information about product. * 1 * 2 * 3 * 4 * 5 * 6 * 7 (15) What do you want to buy online mostly? (Select in order of priority, 1:most often, and 6:least often) _____ food _____ clothing _____ cleaning materials _____ entertainment _____ health _____ house ware (16) When I buy from an on-line vendor, a site that is organized in such a way as to minimize the buying time will get my business done. * 1 * 2 * 3 * 4 * 5 * 6 * 7 (17) When I buy from an on-line vendor, transaction security issues must be emphasized. * 1 * 2 * 3 * 4 * 5 * 6 * 7 (18) When I buy from an on-line vendor, ®nding the information that I want quickly is most important to me. * 1 * 2 * 3 * 4 * 5 * 6 * 7 (19) When I buy from an on-line vendor, knowing that the information on the site is true is most important to me. * 1 * 2 * 3 * 4 * 5 * 6 * 7 (20) When I buy from an on-line vendor, whether the site provides an eVective means of product and price comparison is most important to me. * 1 * 2 * 3 * 4 * 5 * 6 * 7 (21) When I buy from an on-line vendor, the eVective use of the shopping cart mechanism is most important to me. * 1 * 2 * 3 * 4 * 5 * 6 * 7 (22) When I buy from an on-line vendor, I prefer brand-name classi®cation to product based classi®cation. * 1 * 2 * 3 * 4 * 5 * 6 * 7 (23) When I buy from an on-line vendor, to obtain other people’s opinions and experiences about products I don’t know is important to me. * 1 * 2 * 3 * 4 * 5 * 6 * 7 (24) When I buy from an on-line vendor, a well-designed search mechanism is most important for me. * 1 * 2 * 3 * 4 * 5 * 6 * 7 (25) When I buy from an on-line vendor, I prefer stores having all kind of products to product speci®c stores. * 1 * 2 * 3 * 4 * 5 * 6 * 7 (26) When I buy from an on-line vendor, It is important to me that the vendor keeps my personal information secret. * 1 * 2 * 3 * 4 * 5 * 6 * 7 (27) When I buy from an on-line vendor, I hesitate to give my credit card number. * 1 * 2 * 3 * 4 * 5 * 6 * 7
  • 13. Shopping behaviour and preferences in e-commerce of Turkish and American university students 385 The following questions are optional: (28) Highest education of your father: * Elementary school * Secondary school * High school * 2 year university * Bachelor * Master or doctorate (29) Total monthly income of your family: * less than 200 Million Lira * 201-400 Million Lira * 401 ± 600 Million Lira * 601 ± 800 Million * 801 ± 1000 Million Lira * More than 1 Billion Lira Thank you very much for participating in this survey.