• International Journal of Contents
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• v.12 no.4
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• pp.45-52
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• 2016

This study focuses on finding ways to stimulate the growth of agricultural sectors in m-businesses, by analyzing and comparing the factors that influence the purchasing behavior of consumers in the open market, social commerce, and integrated shopping malls. Consumers at various mobile shopping malls answered a survey. Among the nine factors considered, one important factor was the frequency of purchasing agrifoods. Regression analysis produced three results. First, in the open market, in addition to various other advantages, the brand image, reasonable pricing, simple payment system, and convenience of using an app were important factors that influenced the purchasing behavior of the individual consumer. Second, in social commerce, the major factors influencing purchase were the reasonable pricing, quick delivery service, and convenience of using an app. Third, in integrated shopping malls, the brand image, guaranteed after-sale service, the variety of products, quick delivery service, and convenience of using an app were the significant factors.

• Journal of the Korean Society of Clothing and Textiles
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• v.47 no.6
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• pp.1096-1112
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• 2023

Many entrepreneurs who launched online fashion shopping malls faced failure compared to those who achieved success. Recognizing the importance of research that reflects reality, this study explores entrepreneurs' experiences during the failure process of online fashion shopping malls. Two studies utilized YouTube videos documenting such online fashion shopping malls' failure. Study 1 employed text mining techniques, including high-frequency analysis and topic modeling, while Study 2 used a qualitative research method, specifically grounded theory. Study 1 identified the prominent experiences of operating online fashion shopping malls, while Study 2 provided a holistic perspective on the failure processes. The integrated findings from both studies highlight that entrepreneurs' passion for fashion motivates them to establish online fashion shopping malls, yet they encounter numerous challenges during the operational process. Insufficient business preparation and operational capabilities contribute to their failure to achieve financial goals. Despite efforts to boost sales and profit, entrepreneurs often close their businesses due to inadequate funds and waning motivation. The outcomes of this study can inform us about the operational challenges faced by online fashion shopping malls and offer valuable insights for developing new strategies to sustain and improve them.

• Fashion & Textile Research Journal
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• v.15 no.1
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• pp.46-56
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• 2013

This study categorizes online fashion shopping malls according to consumer store patronage behavior as well as classifies consumer groups by online shopping mall patronage to understand the unique characteristics in each phases of purchase. A quantitative survey was conducted using 487 questionnaires from women in their 20s and 30s. The data were analyzed using frequency analysis, cross-tabulations, factor analysis, T-test, ANOVA, cluster analysis, and ${\chi}^2$-test. The findings of this study are as follows. First, online shopping malls were classified into three types of 'integrated mall', 'open market' and 'specialized fashion mall'. Second, based on one of the three types of categorization consumer groups patronizing each type turned out as follows: integrated mall patrons (141, 28.95%), open market patrons (226, 46.41%) and the specialized mall patrons (119, 24.64%). Third, the characteristics of each group had significant differences according to clothing shopping orientation, information search, shopping mall behavior, spending on online shopping, and e-loyalty.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.7
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• pp.787-800
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• 2011

This study investigated service recovery justice perception, purchase satisfaction, positive word-of- mouth (WOM) intention, and repurchase intention of fashion consumers according to the types of internet shopping malls. A survey was conducted from December 20 in 2010 to January 28 in 2011, and 324 respondents who had complaint with internet shopping malls were used in the data analysis. The statistical analysis methods were frequency analysis, factor analysis, reliability analysis, t-test, ANOVA, and multiple regression analysis. The results of this study were as follows. First, in case of integrated internet shopping malls, the procedure justice influenced the purchase satisfaction and the interaction justice influenced the positive WOM intention. In addition, the distribution justice influenced the repurchase intention of fashion consumers. In the case of an open market, the interaction justice influenced the purchase satisfaction and the distribution justice influenced the positive WOM intention. In case of specialized internet shopping malls, the distribution justice influenced the purchase satisfaction and the interaction justice influenced the repurchase intention. Second, there was a difference in the procedure justice, positive WOM intention, and repurchase intention according to gender.

• The Journal of Information Systems
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• v.15 no.4
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• pp.125-147
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• 2006

Internet shopping mall has dual nature of information technology features defined by the web-based application system and marketing features explained by the shopping marketplaces. The purpose of this study aims at analyzing the consumer's attempt to purchase and re-purchase intention to the internet shopping mall to combine the IT perspective and the marketing perspective. This paper develop the integrated research model with the acceptance behaviors of customers through consumer's purchase decision process(pre-purchase stage and post-purchase stage). The results from an empirical survey as follows: First, the integrated model is valid in predicting the acceptance of the internet shopping malls by using structured equation modeling. Second, there are the differences between pre-purchase stage and post-purchase stage by each conceptual constructs. Finally, the results of MSEM(Multi-group Structured Equation Modeling) indicate the perceived ease of use and perceived trust to the attitude to the internet shopping mall is more effectively predicted at the pre-purchase stage. Vice versa, the perceived usefulness to the intention to the purchase intention of internet shopping mall is more effectively predicted at the post-purchase stage. This study provides an integrative approach to develop the effective and successful internet shopping mall strategy.

• Fashion & Textile Research Journal
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• v.15 no.5
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• pp.763-776
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• 2013

This study investigated the uncertainty, regret experience, and negative behavior intention of fashion consumers according to the types of internet shopping malls. The data was obtained from internet fashion consumers, and 394 responses were used in the data analysis. The statistical analysis methods were frequency analysis, factor analysis, reliability analysis, t-test, ANOVA, and regression analysis. As results, the uncertainty of internet fashion consumers was composed of two factors; information uncertainty and preference uncertainty. The regret experience was composed of function or service regret, suitability regret, and product regret. Also, the negative behavior intention was composed of purchase switching intention and purchase deferral intention. The information uncertainty of fashion consumers positively affected the negative behavior intention in all types of internet shopping malls (e.g., open market, integrated shopping mall, and fashion specialized shopping mall). In open market, the preference uncertainty negatively affected the purchase switching intention; however, the preference uncertainty positively affected the purchase deferral intention. In open market and fashion specialized shopping mall, the product regret of internet fashion consumers positively affected the negative behavior intention. In addition, there were partially significant differences in the factors of uncertainty, regret experience, and negative behavior intention by gender and marital status of demographic characteristics. The results of this study will provide useful information to the marketing strategies considering fashion consumer's negative emotion and behaviors according to the types of internet shopping malls.

• Journal of Global Scholars of Marketing Science
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• v.17 no.1
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• pp.23-49
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• 2007

The purpose of this study is to investigate the relationships among customer satisfaction, trust, and loyalty and examine the differences and similarities between specialized and general merchandise internet shopping malls concerning the relationships of these key success factors. The structural model is tested with each of the sub-samples(i.e., specialized and general merchandise shopping customers taken separately) and the data from entire data samples(i.e., specialized and general merchandise shopping customers pooled together). The same research model was used in analysing general merchandise, specialized, and integrated internet shopping mall to reveal and compare the casual path constructs. In the analysis of path coefficients composed of separated taken sample, all research hypothesis is accepted and the model's goodness of fit also shows all high. In the basis of the previous empirical test, multiple sample method was used. Properties of the causal paths, including standardized path coefficients, the significance of difference, latent correlations and variance explained for satisfaction, trust and loyalty in the hypothesized model, have similarities in general. This means that the proper structural management concerned with customer satisfaction, trust and loyalty is very crucial for the success of all kinds of internet shopping malls. Following the model test, I conduct a test of integrated model's path coefficients. Statistical results show that all the hypothesis concerned with internet shopping malls were accepted like the separated sample test. Click and mortar companies should clearly understand and articulate the key requirements of shopping mall satisfaction, trust and loyalty and encourage to establish linkage and interactive relationship among the research variables. In addition, internet marketers are required to customize the interaction considering and adapting the patterns of internet shopping malls. Other interesting results concerning the strategies in internet shopping malls strategy are also presented.

• Journal of Families and Better Life
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• v.26 no.1
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• pp.15-29
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• 2008

The study examined the characteristics of internet shopping mall sites including on-line market places and integrated internet stores from a perspective of consumer protection. Specifically, the study investigated 1) whether sufficient information is provided on the internet shopping mall sites, 2) whether shopping mall sites abide by internet advertising principles, and 3) specific examples of consumer misleading potentialities from internet shopping sites. Further, on-line market places and integrated internet stores were compared based on their informativeness and potential consumer misleading factors. Total 50 shopping mall sites were analyzed for examining the types of information provided and consumer misleading factors. To verify study questions, descriptive statistics were used. For comparison between on-line market places and integrated internet stores, Chi-square test and independent-sample t-test were employed. The results of this study were as the following: First, not a few of the internet shopping mall sites did not provided important information such as safety and warrantees. Second, important disclosures were not noticeable on the web pages and distracting factors were frequently used. Third, integrated internet stores were desirable compared to on-line marketplaces based on informativeness and consumer misleading potentialities. As the result of this study, internet shopping malls need to advised to provide sufficient information and reduce potential misleading factors.

• The Journal of Information Systems
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• v.15 no.4
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• pp.55-72
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• 2006

The total market capacities of our domestic on-line shopping malls had reached over one billion wons in 2005. They are also estimated to reach 1.8 billion wons in 2008. In order to reveal some relationships between six antecedent variables and intention-to-use of online shooing malls, this study has extended the original TAM2 model using these variables obtained from (1) perceived usefulness and perceived ease of use from TAM2 model, (2) compatibility from IDT theory, (3) perceived enjoyment from Flow theory, and (4) others (perceived risk and self efficacy). Two statistical packages such as SPSS 12.0 and Lirel 8.70 were used for data analyses. Among these seven proposed hypotheses, six hypotheses were accepted while one hypothesis regarding perceived risk was rejected. As perceived risk hypothesis concerning the intention-to-use was rejected, the perceived risk did not show the support of the intention-to-use.

• The Journal of Society for e-Business Studies
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• v.13 no.3
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• pp.21-49
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• 2008

The area of the internet shopping mall heavily relies on new emerging information technologies, and it essentially requires delicate marketing model to support consumer behavior. RSS, which is one of the representative Web 2.0 technologies, is the system that distributes digital contents without any Web browser. RSS is expected not only to be very useful in online marketing but also to become actively applied on various areas such as online newspapers and blogs. AISAS model was proposed to complement the AIDMA model that did not cover the new changing customer behaviors of online commerce environment such as search and share. In this research, we propose a marketing model which utilizes RSS based on the AISAS model to support internet shopping malls. With our marketing model, internet shopping malls are expected to provide required services to the customers at every AISAS step. Moreover, it can provide integrated services by connecting all service components of each step. We utilized RSS in our model to implement those services because RSS has many advantages on supporting search and share of product information.