• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.1
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• pp.291-298
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• 2015

It is pretty hard to sell the kids' furniture online because of the characteristics of the consumers that they will like to make purchases after looking at the actual objects and then considering purchasing them. In this paper, we made the scheme to boost the on-line malls of the kids' furniture market by collecting the consumers' intention to buy before purchasing with questionnaire survey, comparing it with the real data of purchasing, and analyzing the differences. We analyzed the visit number of shopping mall, the page number of views, page duration time per visit, and customer's shopping path by using log data from the children's furniture online shopping mall server. In addition, we analyzed where the customer's influx route is among online advertising. We found that there are requirements for the designs, prices, brand names, and practicalities by the consumers purchasing the kids' furniture online. To strengthen competitiveness of the online kids' furniture malls, we proposed that reinforcing the on-line experiences of furniture, the differential strategies for the products, ensuring the fixed customers are needed.

• The Journal of Society for e-Business Studies
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• v.27 no.2
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• pp.21-36
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• 2022

Recently, as COVID-19 has made the e-commerce market expand widely, customers who have different consumption patterns appear in the market. Because companies can obtain opinions and information of customers from reviews, they increasingly face the requirements of managing customer reviews on online platform. In this study, we analyze customers and carry out market segmentation for classifying and defining type of customers in e-commerce. Specifically, K-means clustering was conducted on customer review data collected from Wemakeprice online shopping platform, which leads to the result that six clusters were derived. Finally, we define the characteristics of each cluster and propose a customer management plan. This paper is possible to be used as materials which identify types of customers and it can reduce the cost of customer management and make a profit for online platforms.

• Journal of Digital Convergence
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• v.17 no.2
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• pp.113-125
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• 2019

Mobile social commerce is one of the fastest growing distribution channels in recent years. Therefore, it is important to understand customer's buying behavior in mobile social commerce in order to continuously grow in the competitive mobile social commerce market. To achieve the purpose of this study is to investigate how impulsive buying behaviors are applied in mobile shopping and how factors affect impulse purchasing in online shopping. In order to verify the hypothesis, we surveyed the customers who have experiences of using mobile social commerce and analyzed 280 valid data by Smart PLS 3.0. As a result, it was confirmed that consumers' innovation and purchasing experience influenced impulse purchase in mobile social commerce, and scarcity messages among information attributes affect impulse buying. Through this study, impulsive buying behavior which is a frequently analyzed variable in an online shopping context will be extended to the mobile shopping context. and it will provide practical implications for customer strategy establishment in mobile social commerce market.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.4
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• pp.2048-2061
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• 2014

This paper redefines the concept of social shopping as the part of social commerce and identifies the significant factors to the customer satisfaction and repurchase intention for the social shopping using the factor analysis based on the selected elements from the previous research results. Structural equation modeling(SEM) result shows that 3 significant factors to the customer satisfaction are price, convenience of web site use and fun. But Security, reliability, diversity did not affect significantly satisfactorily. From the resulting factors to the customer satisfaction, users of social shopping seems to be satisfied with site entertainment like looking around and comparison shopping. The main purpose of visiting social shopping sites is considered as not only purchase of goods or services but also entertainment in the community and cyberspace. The results of this study, it provides an indication of the aspects of marketing that can be used in social shopping practice.

• Information Systems Review
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• v.9 no.3
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• pp.99-132
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• 2007

As customer management rises by important issue in electronic commerce, virtue study about CRM have proceeded much. However, because existent researches were positive researches of most statistical base, There are some limitation that does not show dynamic change with CRM flow by flowing of time, and can not forecast propriety and future result about CRM strategy. Therefore, in order to overcome existent limitation on these CRM study, this study designed dynamic model which draws factors that compose CRM strategy of on-line shopping mall, and do based on technique in system dynamics so that can analyze dynamic change between these factors. Concretely, atomized customer focuses in the on-line shopping mall and does based on Permission marketing theory, and applied CRM of different level to atomized customers and know change of customer satisfaction measurement and discomfort degree accordingly. According to the result of Simulation practice, situation that achieve CRM strategy of different level by atomize customer more increase the customer satisfaction than situation that is not so. Dynamic pattern that presented in this study is expected that can verify validity about CRM achievement strategy of different level at each CRM point of contact & how Internet enterprise including on-line shopping mall is establishing CRM strategy reasonably.

• The Korean Journal of Applied Statistics
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• v.22 no.2
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• pp.309-315
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• 2009

The degree of the impression about a special commodity in the internet shopping malls depends on the evaluation and the corresponding rating of customers who purchased and used this commodity. We can find the problems in online ratings system of Korean internet shopping malls and suggest the simple solutions.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.11
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• pp.2717-2722
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• 2013

Sophisticated business intelligent software and personalized web services help collecting and mining huge amounts of personal information. This increase in digitalized personal information and advances in Internet technologies poses new challenges to consumers' information privacy. Based on the identified concept of information privacy concerns (IPC), this study additionally explores the interrelationships among consumers' individual characteristics(self-efficacy, digital literacy, customer alienation), customer satisfaction and intention to buy in e-commerce process. Academically, this study extends IPC to an empirical research model by identifying the conceptualization and organization of IPC. Moreover, practically, e-commerce providers can develop how to relieve IPC of online consumers.

• Journal of Intelligence and Information Systems
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• v.14 no.4
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• pp.117-134
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• 2008

The outpaced growth of online channel sales over the traditional retail sales is a result from superior shopping convenience that online stores offer to their customers. One major source of online shopping convenience is a personalized store that reduces customer's shopping time. Personalization of an online store is accomplished by using various in-store shopping behavior data that the Internet and Web Technology provides. Brick-and-mortar retailers have not been able to make this type of data available for their stores until now. However, RFID technology has now opened a new possibility to personalization of traditional retail stores. In this paper, we propose BRIMPS (BRIck-and-Mortar Personalization System) as a system that brick-and-mortar retailers may use to personalize their business and become more competitive against online retailers.

• Management & Information Systems Review
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• v.32 no.4
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• pp.155-187
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• 2013

This study is the one trying to examine the relationship between relationship benefit, customer satisfaction and customer loyalty perceived by the internet shopping mall customers. It will try to extend and apply the concept of relationship benefit mainly dealt with in the existing study to the online environment The specific purposes of study are presented as follows. First, this study will present five dimensions of relationship benefit levels as customization benefit, information benefit, psychological benefit, social benefit and economic benefit to clarify their relationship with customer satisfaction. Second, the relationship between customer satisfaction and loyalty will be examined. Third, a comparative analysis will be performed according to the type of internet shopping mall, in other words, between general shopping mall and specialized shopping mall. As a result, the remaining relationship benefit dimensions (customization benefit, psychological benefit, social benefit and economic benefit) except for information benefit among the five types of relationship benefit levels perceived by internet shopping mall customers have been shown as having significant positive effect on customer satisfaction. Finally, as a result of verifying the result on the difference between specialized shopping mall and general shopping mall, the difference between each group was shown as not being statistically significant. However, as a result of applying the study model by classifying into specialized shopping mall and general shopping mall, only the information benefit was shown as not having significant positive effect which is identical to the overall result.

• Journal of Korea Society of Industrial Information Systems
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• v.14 no.4
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• pp.128-142
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• 2009

Since fairness issue has been found to be important in many different business contexts such as marketing, organizational psychology and management in general. The purpose of this exploratory study was to identify the factor structure of fairness and its effects on customer satisfaction and word-of-mouth. In this survey, we collected data from the respondents who have experienced online shopping from 61 online shopping companies. The data were analyzed by structural equation model using LISREL 8.5. The results indicated that fairness has a four-factor structure, which is composed of distributive, procedural, interpersonal, and informational fairness, which is different from three-factor structure. In addition, perceived justice as a second-order construct were found to have a positive effect on customer satisfaction and word-of-mouth intention. The study suggests that online shopping mall should increase customer satisfaction and positive word-of-mouth by enhancing multiple aspects related to fairness.