Journal of Korea Multimedia Society (한국멀티미디어학회논문지)

Korea Multimedia Society (한국멀티미디어학회)
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A Study on Comparison Analysis of the System Quality Factors between Korea and China Shopping mall Websites

  • Kwon, Young-Jik (School of Computer & Information Technology Engineering, Daegu University) ;
  • Cui, Jun (Doctorate of Computer & Information Engineering Department, Daegu University) ;
  • Kwon, Donghwoon (Doctorate of Applied Information Technology Department, Towson University)
  • Received : 2013.04.12
  • Accepted : 2013.10.08
  • Published : 2013.11.30
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Abstract

This paper mainly focuses on the system quality factors of a website targeted at shopping mall websites in China and Korea. We categorized six system quality factors and formulated hypotheses regarding how those six factors are different. We also conducted an empirical study to verify hypotheses. Statistical data for an empirical study targeted at undergraduate students in Korea and China, having filled in a questionnaire. Reliability of the collected data was measured, and a T-test of the established hypotheses was carried out. The following describes the results that were found. While the shopping mall websites of two countries showed a difference in terms of quick transition of the web pages or images, ease of use, reliability, and accessibility, they did not show the difference in term of accuracy and the short cut function. We analyzed the causes of the verified results and suggested a strategy to implement the effective shopping mall web sites.

Keywords

1. INTRODUCTION

Web development techniques have improved rapidly as a result of the recent Internet environment. There are various quality factors of the shopping mall websites, but system quality factors are considered the most important success factor among them. For this reason, it is required to implement shopping mall websites with consideration of the best system quality factors that a customer wants in order to gain a competitive advantage. Yet, the problem is that a level of the techniques and functions about the system quality factors of the currently running shopping mall websites is aimed at a developer rather than a customer so that there are various problems in terms of accessibility, error occurrence, ease of use, and so on. Therefore, we conducted a questionnaire of the system quality factors targeted at the shopping mall websites in Korea and China. We also performed a difference analysis between system quality factors through statistical analysis and suggested the strategies to implement the effective shopping mall websites.

 

2. RELATED WORK

2.1 Overview

Delon and Mclean (1992) suggested system quality, information quality, and service quality as the successful model of the information system [1]. System quality means the level of user awareness in terms of technical and functional quality of the website. They also pointed out that the shopping mall website should support user’s purchase activity by providing quick response speed and convenience functions as well as running reliably and accurately [2].

2.2 Literature research about the system quality factors of the shopping mall websites

DeLone and McLean suggested usability, functionality, reliability, flexibility, quality of data, integrate, availability, adaptability, and response time as the technical and functional factors regarding system quality of the shopping mall websites [3]. Mckinney et al. (2002) introduced accessibility, usability, and navigation as technical factors, and system and transmission speed, immediate accessibility, ease of use, etc. as other technical factors. While speed, reliability, and accessibility were important in the early study of system quality, ease of usability is considered as the most important technical factor among them. It is therefore important that users should choose the right system quality factors of the website [2]. Olsina (1999) used accessibility, speed, navigability, contents for assessing website quality [5]. Madu and Madu (2002) considered convenient website architecture, visual attraction, reliability, information storage, system integrity as website quality factors. Here, reliability means continuous update of the website and accurate information [6]. Liu and Amett (2000) proposed accuracy, completeness, appropriacy, reliability, customization, interaction, usability, system speed, search function, and so on as website quality factors [7]. Misic and Johnson (1999) suggested information accessibility, website accessibility, system speed, functional creativity, ease of navigate, accuracy, webpage style and color, and so on as website quality factors [8]. Donthu (2001) categorized site related factors and supplier related factors as website quality factors in the empirical study of SITEQUAL. Site related factors consisted of ease of use, esthetic design, system processing speed, reliability and security of personal information, and so on [10]. Szymanski and Hise (2000) suggested website design, the convenience of the website structure, finance security, and so on. Huizingh (2002) introduced four factors of website success such as website accessibility, website design, visuality, and feasibility [10].

Liang and Chen (2009) suggested customization, interactivity, cultivation, care, community, choice, convenience and character, content, context and infrastructure quality, complexity, novelty, interactivity, connectivity, information quality, playfulness and learning, technical adequacy, website design, order fulfillment, communication, merchandising, security/privacy, promotion, transaction speed, user-friendliness, and so on as website quality factors [11]. Bai et al. (2008) considered response time, ease of terminal use, content of the database, aggregation of details, human factors, system accuracy, data currency, turnaround time, data accuracy, reliability, completeness, system flexibility, ease of use, etc. as website system quality factors [12]. Jones and Kim (2010) proposed fast, easy to navigate and easy to search for pertinent information, secure for monetary and information exchanges, consumer’s satisfaction, emotions, communication, and so on as website system quality factors [13]. Hartmann et al. (2008) focused on usability to conduct a research about information biases of website quality judgment [14]. Gregg and Walczak (2010) identified numerous website quality dimensions including information quality, ease of use, usability, aesthetics, and trust building technologies and emotional appeal [15]. Lin (2010) defined accessibility, navigability, response time, and learnability as system quality factors [16]. Chou and Cheng (2012) categorized website quality as system quality, information quality, and service quality. Users with more convenience, privacy, and faster responses were considered for system quality, and especially, they proposed accessibility, navigability, usability, and privacy [17]. Other researches have been also conducted for website quality [18-21]. Based on the references above, we selected a total of six: quick transition of the image and page, accuracy (error occurrence), ease of use, reliability, access speed, and short-cut function and conducted an empirical study.

 

3. EMPIRICAL STUDY

3.1 Overview

We first conducted a survey to verify how the system quality factors of the website were different bewteen shopping mall websites in Korea and China. The survey was filled out by 519 voluntary participants for 5 Chinese and 8 Korean websites from September, 2011 to December, 2011, and we conducted comparison analysis using the collected data. The targeted Chinese websites were www.taobao.com, www.amazon.cn, www.dangdang.com, www.paipai.com, www.china.alibaba.com, and so on, and the targeted Korean websites were www.lotteshopping.com, www.ehyundai.com, www.auction.com, www.gmarket.com, www.interpark.com, www.11st.co.kr, and so on. Since the numbers of respondents of the G market (www.gmarket.com, total 120 respondents) and the taobao website (www.taobao.com, total 96 respondents) were more than other websites, we selected both websites. At first, we conducted comparison analysis of both websites but realized that statistical analysis and types should be improved. For this reason, we supplemented them from March, 2012 to May, 2012 and used the SAS 9.2 package tool.

3.2 Research Model

The research model is shown in Figure 1.

Fig. 1.The overall research model

3.3 The Frequency of User Characteristics

The number of respondents in the questionnaire survey were 120 for Gmarket (www.gmarket.com) and 96 for Taobao (www.taobao.co.kr). The following Table 1 shows the frequency of user characteristics.

Table 1.Detailed Statistical Analysis Results

3.4 Reliability Coefficient

Since the alpha value of Cronbach is 0.8449 (higher than 0.70), the reliability of the questionnaire is very high. The following Table 2 shows the correlation coefficient between system quality factors of the questionnaire. According to Table 2, the correlation coefficient of the system quality factors is less than or around 0.5, we think there is no correlation.

Table 2.The Value of the Correlation Coefficient

3.5 Hypotheses Formulation

The following is the main hypothesis to achieve our study objectives.

3.5.1 Main Hypothesis

The main hypothesis (H0) is “The system quality factors of the shopping mall websites between Korea and China are different”; that is, {SQi} → {WSTj}. SQ is system quality factors and WST is a type of the shopping mall website. The followings are the meaning of the number of i and j.

3.5.2 Sub Hypothesis

The followings are sub hypotheses of the main hypothesis. a) H1: There is a difference in terms of quick transition of the image or page between Korean and Chinese shopping mall websites. b) H2: There is a difference in terms of accuracy between Korean and Chinese shopping mall websites. c) H3: There is a difference in terms of ease of use between Korean and Chinese shopping mall websites. d) H4: There is a difference in terms of reliability between Korean and Chinese shopping mall websites. e) H5: There is a difference in terms of access speed between Korean and Chinese shopping mall websites. f) H6: There is a difference in terms of a short cut function between Korean and Chinese shopping mall websites.

3.6 Hypotheses Verification

3.6.1 Statistical Analysis Results

The detailed statistical analysis results are summarized in Table 3.

Table 3.(Pr: Probability, Ha: Hypothesis accepted, Hr: Hypothesis rejected)

3.6.2 Main hypothesis verification

As explained, the main hypothesis is “The system quality factors of the shopping mall websites between Korea and China are different”. According to our statistical analysis, this hypothesis is accepted because of α=0.0001<0.01 with 99% significance level; in other words, it shows that there is a difference between Korean and Chinese shopping mall websites in terms of system quality factors.

3.6.3 Sub Hypothesis Verification

According to the results of Table 3, it shows that four hypotheses (H1, H3, H4, and H5) are accepted and two hypotheses (H2 and H6) are rejected. The first sub hypothesis H1 is accepted because of α =0.0001<0.01 with 99% significance level so that there is a difference between Korean and Chinese shopping mall websites in terms of quick transition of the image or page. The second sub hypothesis H2 is rejected because of α=0.0202>0.01 with 99% significance level; that is, there is not a difference between Korean and Chinese shopping mall websites in terms of accuracy. The third sub hypothesis H3 is accepted because of α=0.0028<0.01 with 99% significance level, so it means that there is a difference in terms of ease of use between Korean and Chinese shopping mall websites. The forth sub hypothesis H4 is accepted due to the fact that the value α is 0.0001 which is less than 0.01 and there is 99% significance level. The interpretation of this result is that there is a difference in terms of reliability between Korean and Chinese shopping mall website. The fifth sub hypothesis H5 is accepted because of α=0.0105<0.01with 99% significance level so that access speed is different between Korean and Chinese shopping mall websites. The last sub hypothesis H6 is rejected because the value α is greater than 0.01 (0.0866), so there is no difference in terms of the short cut function between Korean and Chinese shopping mall websites.

 

4. ANALYSIS OF HYPOTHESES VERIFICATION AND STRATEGY TO IMPLEMENT THE EFFECTIVE SHOPPING MALL WEB SITES

4.1 Analysis of Hypotheses Verification

4.1.1 Comparison Analysis of H1

Since the shopping mall website in Korea consisted of many pages, it showed that page transition speed was slow. Yet, it was not actually slow compared to the number of images. It was possible to traverse pages quickly in China because they did not have many images. One benefit of the Korean shopping mall website was that it was possible to transit a page using only one tab as well as the forward and backward button. For this reason, it reduced the number of tabs and memory usage. However, when a customer wanted to compare with products, it was pretty uncomfortable if they used the forward or backward button. The China shopping mall website enabled the customer to traverse a page by creating a new tab so that it increased the number of tabs and memory usage.

4.1.2 Comparison Analysis of H2

There were no error occurrences for both countries, but if many users participated in events, the Korean shopping mall website showed that access speed was slow. Besides, there were many users every day in China, and it caused damage to images or server down.

4.1.3 Comparison Analysis of H3

The Korean shopping mall website enabled users to purchase a product easily because of appropriate pop up messages and various options. However, the Chinese shopping mall website caused inconvenient shopping because of frequent pop up messages. We also observed ease of member registration and ease of the procedure. The guideline of member registration and the type of the members on the Korean shopping mall website were exactly categorized so that it leaded to efficient member registration, and users could get appropriate information and authority. However, the Chinese shopping mall website provided general member registration and mobile member registration only. The procedure of member registration was simpler than the Korean shopping mall website, but the guideline of member registration was not enough. The Korean shopping mall website provided the overview category view function, so users could easily see all items. It also provided convenience of the search function for users by providing a step by step form. On the other hand, the Chinese shopping mall website displayed the each product category, but it did not provide a step by step form. As a result, users experienced a difficulty in searching products because they clicked the other pages and searched products.

4.1.4 Comparison Analysis of H4

We verified the reliability of the shopping mall websites in both countries using the McAfee Site Advisor [22] tool and realized that there were no issues of reliability. Yet, we found out that there were 24 secure download items on the Korean shopping mall website and seven secure download items on the Chinese shopping mall website. The problem was that the more download items, the bigger capacity of the website was required. For this reason, it could affect website reliability. Moreover, we found that 2 out of 8 secure website links of the Korean shopping mall website were not verified, so they could be potential risks for website reliability. The Chinese shopping mall website had eight secure links, and reliability of them was verified.

4.1.5 Comparison Analysis of H5

We measured average time of the Korean and Chinese websites on the website, http://webwait.com. We calculated average loading time by measuring once per 5 seconds (total 5 times). The Korean shopping mall website showed average 2.58 seconds, and the Chinese shopping mall showed average 1.45 seconds. Therefore, we realized that the access speed of the Chinese shopping mall website was faster than the Korean shopping mall website due to that fact that the Chinese shopping mall website had a smaller number of images compared to the Korean shopping mall website.

4.1.6 Comparison Analysis of H6

It was possible to move anywhere on the Korean Website because it provides the short-cut function. Since the Korean shopping mall website arranged the buttons separately according to each category, users could find the desired shopping mall website easily. Moreover, users on the Korean shopping mall website could see the history of transaction, return and cancellation, and so on using the “My Shopping” menu. However, the Chinese shopping mall website did not provide those functions.

4.2 Strategy to Implement the Effective Shopping Mall Web Sites

4.2.1 Quick transition of the image and page

It is obvious that many images or pages are not required for quick transition of the image and page. Our recommendation is to make each page which consists of less than 5 images based on the 7±2 rule. It is also required to consist of an appropriate number of links between images. We also suggest that use only one tab for page transition and provide the forward and backward button because it is necessary to supplement any inconvenience when a customer wants to compare with products simultaneously.

4.2.2 Accuracy

When running the shopping mall website, it is required to consider the number of users for an event. It is also required to comprise images and servers by considering the access time frame as well as the number of users who access to the shopping mall website every day; in other words, we suggest that implement the shopping mall websites by considering trade-off in terms of the number of access users, time frame, image composition and purchasing costs of the server.

4.2.3 Ease of use

There should not be many pop up messages in order for users who want to use the shopping mall website conveniently. It is better to provide various options for one single item than providing options for each item. It is also required to explain details about the guideline of member registration and the type of the members as well as assigning appropriate information and authority. To implement the effective shopping mall website, the overview category view function should be provided in terms of ease of the procedure, and enable users to search the product easily through the step by step form.

4.2.4 Reliability

All other related websites should be linked together, and constant update of the website and the provided information on the website must be accurate to implement the effective shopping mall website.

4.2.5 Access speed

It is required to reduce the number of images to increase speed on the shopping mall website. Besides, using a touch screen and mouse is much better than using a keyboard.

4.2.6 The short cut function

The recently searched items should be located in a conspicuous place; that is, the best place is the right upper side. Moreover, enable users to move anywhere by activating a short cut button. Each category should have its own button, and enable users to check their information easily through a menu like my shopping information.

 

5. CONCLUSION

5.1 Summary of Research Results

This study conducted an analysis of the system quality factors of the website targeted at the Korea shopping mall website and the Chinese shopping mall website, and suggested strategies to implement the effective shopping mall website. The above are the results of our research. Quick transition of the image or page, ease of use, reliability, and access speed were different between both shopping mall websites, but there was no difference in terms of accuracy and the short cut function. We also conducted a comparison analysis of each system quality factor based on the result of hypotheses verification and suggested strategies to implement the effective shopping mall websites.

5.2 Research Limitation and Future Study

The limitation is that we conducted a research about system quality factors only so that it is required to consider website quality factors such as information quality, system quality, and service quality. While we conducted T-test, we would also like to conduct regression analysis and a structural equation model in the future.

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