• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.4
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• pp.563-574
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• 2010

This study focused on the consumer post-complaint behavior in the Internet open market due to the rapid growth of Internet fashion markets and increased consumer dissatisfaction that has increased post complaint behavior. This study identifies the effect of perceived justice on consumer trust and repurchase intention, it then compares the effects of perceived justice on consumer trust and repurchase intention among the different types of dissatisfied groups. The respondents were 369 consumers who experienced dissatisfaction in the Internet open market. The data were analyzed by factor analysis, path analysis, ANOVA, cluster analysis using SPSS win 12.0 and Amos 7.0. In the research model, three components of perceived justice: distributive justice, procedural justice, and interactional justice have significant effects on trust. Trust has a positive effect on repurchase intention. Dissatisfied consumers were clustered into three types of those dissatisfied with 1) shopping mall/shipping, 2) service, and 3) products. The consumer groups classified by the types of dissatisfaction showed different effects of perceived justice on trust and repurchase intention in the Internet open market.

• Asia pacific journal of information systems
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• v.16 no.4
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• pp.49-70
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• 2006

In recent, Open markets are booming up rapidly. Open markets are one of the online marketplaces which mainly concentrated on spot transactions of commodities, and are differentiated from integrated internet shopping stores with market participants, trading rules and so on. This study investigated on factors affecting satisfaction with and preference on open markets by comparing open markets with integrated internet shopping stores, and aimed to figure out the reasons why open markets are growing up so rapidly and to forecast the future of open markets. To investigate the factors affecting buyers' satisfaction with and preference on internet shopping channel. I extracted several factors through literature reviews. The factors include the pros (cost saving and time saving), the cons (security concerns and privacy concerns), and decision making support suggested by Simon's research as well. Then, I constructed research model and related research hypotheses. To verify research hypotheses, I conducted field survey targeting on online buyers and analyzed research data using structural equation model. According to data analysis result, open markets have competitive advantages over integrated internet shopping stores with respect to cost saving, time saving, and decision making support. However, online buyers are still concerning privacy issues within open markets. In summary, buyers are considering that open markets are cheaper, faster, and more efficient internet shopping channel, compared with integrated internet shopping stores. However, open markets are required to dedicate to lessen buyers' privacy concerns to rebirth as more satisfying and preferable internet shopping channel and to prosper in the future.

• Korean Journal of Human Ecology
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• v.17 no.4
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• pp.785-796
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• 2008

The Open-Market internet shopping malls has rapidly been growing over the past few years. Thus, this study compares Meta-Mall and Open-Market, as well as evaluates image factors of the internet shopping mall in order to verify different levels of influence on customer satisfaction and revisit intentions. The subject of stud was made for students enrolled in colleges in the Busan area, using this Data collection method. Data were gathered using a questionnaire and through personal interviews from a sampling made from May 1 to May 8, 2008. The final 337 accomplished questionnaire forms were used for the subsequent analysis. The results of the substantial analysis are as follows. First, the following factors affect the image of internet shopping malls: assortment of goods and information service, site design, convenience, reliability of goods and information, and customer service. In Meta-Mall, these same factors, except customer service, were found to influence customer satisfaction, while in Open-Market, all the five factors were found to influence customer satisfaction. In Open-Market, convenience and reliability of goods and information had especially high levels of influence on customer satisfaction. Second, customer satisfaction with Internet shopping malls was found to influence the intentions of the customers to make a revisit. The result of the study shows that the factors of shopping mall image between Meta-Mall and Open-Market are perceived differently by their customers, and differences were found in the levels of their influence on customer satisfaction.

• Journal of Information Technology Services
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• v.15 no.3
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• pp.195-209
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• 2016

IoT (Internet of Things) is a collective term referring to application services that provide information through sensors/devices connected to the internet. The real world application of IoT is expanding fast along with growing number of sensors/devices. However, since IoT application relies on vertical combination of sensors/devices networks, information sharing within IoT services remains unresolved challenge. Consequently, IoT sensors/devices demand high construction and maintenance costs, rendering the creation of new IoT services potentially expensive. One solution is to launch an IoT open market for information sharing similar to that of App Store for smart-phones. Doing so will efficiently allow novel IoT services to emerge across various industries, because developers can purchase licenses to access IoT resources directly via an open market. Sharing IoT resource information through an open market will create an echo-system conducive for easy utilization of resources and communication between IoT service providers, resource owners, and developers. This paper proposes the new business model of IoT open market for information sharing, and the requirements for ensuring security and standardization of open markets.

• Journal of Korea Society of Industrial Information Systems
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• v.15 no.4
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• pp.83-101
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• 2010

Competition in Internet open-market has become fiercer as much for its growth possibility in differentiating from the general commercial market. For this reason, internet open-market entrepreneurs should make effective strategy in improving customers' e-loyalty to survive in the highly competitive internet open-market as in off-line market and to aim for growth through constant profit making. To satisfy with the goal, this study has been performed as the empirical research that confirms to the influence and relationship of e-service quality affected on the perceived value, customer satisfaction and e-loyalty. This is based on the result that e-service quality affected on e-loyalty for internet open-market. The research results are shown as follows; first, all factors including the perceived value and customer satisfaction, except possibility of system use, have the effect of e-service quality. Second, the perceived value between measurements affects significantly on customer satisfaction. And third, the perceive value and the customer satisfaction are a1so meaningfully influential to e-loyalty. The result presents important point that entrepreneurs in Internet open-market need to do their best to maintain in making profits for the future by improving the customers' e-loyalty and securing customers with high loyalty via continually revealing new influential factors on e-service quality, perceived value, and customer satisfaction.

• Journal of Fashion Business
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• v.18 no.1
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• pp.118-131
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• 2014

The purpose of this study is to classify the service recovery fairness of internet fashion shopping mall depending on the type of shopping mall into 3 levels, and analyze their influence on customers' satisfaction and intention to repurchase. Data were collected from 271 customers who had made a complaint or raised a question about service among the customers, and was analyzed through AMOS 7.0. For hypothesis testing, a research model was set up in the form of structure equation model, and its suitability was investigated. The results of this research can be summarized as follows: First, in relation to the service recovery fairness at internet shopping mall, only the consequential fairness has a meaningful relationship with customer satisfaction. Second, it has been shown that the higher the customers' satisfaction with internet shopping mall, the more positive influence it has on intention to repurchase. Third, it has been shown that the influence of service recovery fairness on customers' satisfaction and intention to repurchase has a meaningful difference depending on the type of internet shopping mall. In other words, it has been shown that customer satisfaction is higher at open market than general internet shopping mall. In addition, it has been shown that in open market, only the consequential fairness has a meaningful influence, therefore it will be more effective to strengthen a strategy focused on economical rewards than other fields.

• Journal of the Korea Fashion and Costume Design Association
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• v.13 no.1
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• pp.147-158
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• 2011

This study analyzed the effective and suitable promotion method to increase visitors on the internet fashion soho shopping mall by surveying of female university students. The methods were in-depth interviews for 20 students and questionnaires for 363 students. The results indicated that the main routes of visiting the internet fashion shopping mall were keyword search window, banner advertisement window, and open market. Others were price comparison sites, the rank shop, fashion magazines or internet news, information in e-mail, broadcasting sponsor advertisements, name cards, and leaflets. So the effective methods to increase the number of visitors is to implement keyword advertisements, banner advertisements, and enter the open market to expose the brand names and item information. Being on price comparison sites or rank shops, advertisements in the fashion magazines, internet news or e-mail, broadcast sponsorships, and distribution of leaflets or name cards were also effective methods.

• Journal of Korea Technology Innovation Society
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• v.8 no.3
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• pp.1139-1156
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• 2005

The explosive growth in wireless networks and Internet services has created considerable demand for mobile Internet services based on the mobile phone. Mobile Internet has become the new business model in telecommunication market, therefore the open network policy for mobile Internet has been formulated and implemented by the government in Korea. In spite of the open network policy for mobile Internet, there has been no systematic analysis of the various interconnection issues, including pricing, in mobile Internet network. This paper aims to suggest the interconnection pricing methods for mobile Internet network by reviewing the current pricing models for various communications services, and adapting them to mobile Internet communications circumstances. Results of this paper can be used as a guideline for government policy directions and management decision making after the introduction of the open network policy for mobile Internet.

• Journal of the Korean Data and Information Science Society
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• v.26 no.1
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• pp.229-241
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• 2015

Nowadays, an open-market which provides sellers and consumers a cyber place for making a transaction over the Internet has emerged as a prevalent sales channel because of convenience and relatively low price it provides. However, there are few studies about CRM strategies based on VIP consumers for an open-market even though understanding VIP consumers' behaviors in open-markets is important to increase its revenue. Therefore, we propose CRM strategies targeted on VIP customers, obtained by analyzing the transaction data of VIP customers from an open-market using data mining techniques. To that end, we first defined the VIP customers in terms of recency, frequency and monetary (RFM) values. Then, we used data mining techniques to develop a model which best classifies and identifies infiluential factors customers into VIPs or non-VIPs. We also validate each of promotion types in the aspect of effectiveness and identify association rules among the types. Then, based on the findings from these experiments, we propose strategies from the perspectives of CRM dimensions for the open-market to thrive.

• 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.