• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.2
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• pp.87-97
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• 2020

The purpose of this study is to suggest the characteristics of online shopping malls and find a way to establish a differentiated marketing Strategy for online shopping malls in China. This study investigated the effect on the loyalty by applying the perceived shopping value (Hedonic Value, Utilitarian Value) of consumers in online shopping malls. In addition, In order to grasp the factors affecting consumer loyalty in online shopping malls, the characteristics of online shopping malls are multidimensional, consisting of product characteristics, recommended quality, benefit services, and community services. In order to obtain the purpose of the study, a questionnaire was surveyed for chinese online shopping experience and the research model was verified through empirical analysis method. Statistical analysis program was used together with SPSS 24.0 and AMOSS 24.0. Looking at the results of the analysis, firstly, the recommended quality and benefit service of online shopping malls are positive for the perceived hedonic value of consumers. The product characteristics and community service were found to have no effect on the hedonic shopping value. Secondly, the product characteristics, recommended quality, benefit service, and community service of online shopping malls on the utilitrian value perceived by consumers were positively affected. Thirdly, the perceived hedonic value has a positive effect on loyalty. Finally, it was confirmed that perceived utilitrian value affects loyalty. Based on the results of this study, a differentiated marketing strategy was established for existing chinese online shopping mall operators and potential new operators as well.

• Journal of Distribution Science
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• v.19 no.12
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• pp.23-32
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• 2021

Purpose: By integrating multiple separate online, offline distribution channels, omnichannel distribution has modernized and revolutionized the retailing sector. Omnichannel distribution supports firms by delivering seamless shopping experiences for customers throughout all touchpoints of the shopping journey. This paper aims at exploring the impact of channel integration quality on customer experience and patronage intentions in the omnichannel distribution context. Research design, data and methodology: An online survey was taken with 351 omnichannel experienced shoppers by utilizing the structured questionnaire. The partial least square-structural equation modeling (PLS-SEM) and Smart PLS software were employed to analyze and test proposed hypotheses. Results: The findings reveal that channel integration quality dimensions including breadth of channel-service choice, transparency of channel-service configuration, content consistency, and process consistency, play crucial roles in the customer shopping experience. The perceived compatibility has been influenced by the integrated interactions in which content consistency and process consistency. The findings also demonstrate the positive and direct impact of perceived compatibility on customer experience, and both factors have substantial effects on customers' patronage intentions. Conclusions: This study sheds light on the literature on channel integration quality, omnichannel retailing experience and customer patronage. In addition, this study provides practical implications for omnichannel retailers in enhancing customer experience and patronage.

• Journal of Wellbeing Management and Applied Psychology
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• v.3 no.3
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• pp.21-30
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• 2020

Indonesia is currently intensifying its level of awareness of the importance of starting a business as an entrepreneur. How to respond to technological developments to help support the growth of a start-up entrepreneur. Usually before buying a product, customers always think of many factors that can influence their buying decisions in online shopping. The two factors that most influencing are, Discounts and Promotions, which can greatly determine people's purchase intention, before finally buying the product. The researcher begin research with the aim to understand whether these 2 factors are factors that really affect someone's buying interest before doing online shopping. For this study, information and data collected by the survey by using means of questionnaires. And it standard measurements using a 5-point Likert scale, and processed by IBM SPSS Statistics 25 program. In this study, it has been found that indeed these two factors, Discounts and Promotions, are both influential in encouraging someone's purchase intention in conducting online shopping transactions. We found that both factors are significant and influence each other. The results of this study expected to help broaden the horizons of buyers and sellers about the benefits of discounts and promotions in online shopping.

• The Journal of the Korea Contents Association
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• v.13 no.11
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• pp.856-865
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• 2013

The customer retention of internet shopping mall become important nowadays as internet shopping mall is expanding quickly. In this situation, the present study aims to analyze the components of internet shopping mall service quality and it's relationship with satisfaction, and retention. The CRM is a very important point for company marketing, it is also necessary to construct trust and commitment. Especially it has been recognized that when we deal with online shopping, the correlation with customers is very important. At this point one purpose of this study is to find out those effects on satisfaction of the service quality. Another purpose is to find the factors which effect retention. Structural equation modeling is used to test the model building in this paper based on the data from survey of 223 online shopping mall customers. The results in the study provide our supports to the model and indicate that: first, service quality has a positive effect on satisfaction. Second, satisfaction, trust and commitment have strong relations and they affect customer retention in the internet shopping mall service.

• CRM연구
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• v.4 no.2
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• pp.19-29
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• 2011

There is a large difference between purchasing patterns in an online shopping mall and in an offline market. This difference may be caused mainly by the difference in accessibility of online and offline markets. It means that an interval between the initial purchasing decision and its realization appears to be relatively short in an online shopping mall, because a customer can make an order immediately. Because of the short interval between a purchasing decision and its realization, an online shopping mall transaction usually contains fewer items than that of an offline market. In an offline market, customers usually keep some items in mind and buy them all at once a few days after deciding to buy them, instead of buying each item individually and immediately. On the contrary, more than 70% of online shopping mall transactions contain only one item. This statistic implies that traditional data mining techniques cannot be directly applied to online market analysis, because hardly any association rules can survive with an acceptable level of Support because of too many Null Transactions. Most market basket analyses on online shopping mall transactions, therefore, have been performed by expanding the co-occurrence criteria of traditional association rule mining. While the traditional co-occurrence criteria defines items purchased in one transaction as concurrently purchased items, the expanded co-occurrence criteria regards items purchased by a customer during some predefined period (e.g., a day) as concurrently purchased items. In studies using expanded co-occurrence criteria, however, the criteria has been defined arbitrarily by researchers without any theoretical grounds or agreement. The lack of clear grounds of adopting a certain co-occurrence criteria degrades the reliability of the analytical results. Moreover, it is hard to derive new meaningful findings by combining the outcomes of previous individual studies. In this paper, we attempt to compare expanded co-occurrence criteria and propose a guideline for selecting an appropriate one. First of all, we compare the accuracy of association rules discovered according to various co-occurrence criteria. By doing this experiment we expect that we can provide a guideline for selecting appropriate co-occurrence criteria that corresponds to the purpose of the analysis. Additionally, we will perform similar experiments with several groups of customers that are segmented by each customer's average duration between orders. By this experiment, we attempt to discover the relationship between the optimal co-occurrence criteria and the customer's average duration between orders. Finally, by a series of experiments, we expect that we can provide basic guidelines for developing customized recommendation systems.

• Journal of the Korean Society of Clothing and Textiles
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• v.40 no.2
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• pp.287-304
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• 2016

This study examines the influence of product classification standards and structure on user perception as well as their attitude towards online shopping sites. The causal relationships of variables are also examined. The analysis was based on an online survey with 247 responses. Four types of internet shopping sites were developed and used as a stimulus. The results of the mean comparison analysis indicated that perceived variety, information overload, perceived shopping value and attitude towards the site varies significantly with product classification standards and structure. There was also of a marginally significant interaction between the classification standard and structure on perceived variety and information overload. The causal relationship analysis revealed that perceived variety positively influenced hedonic and utilitarian shopping value. However, information overload had a negative effect on hedonic and utilitarian shopping value. Both the hedonic and utilitarian shopping value positively influenced attitudes towards the sites. This study demonstrates that classification method influences customer perception and attitude. It offers interesting insights on a product classification method as a strategic tool for online shopping.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.4
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• pp.109-120
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• 2021

Despite the growing online exposure of retailes, offline retail channels still outperform online channels in the total retail volume of some countries. There is much interest in the physical layout plans of retail stores to expand sales. Product placement that have a large impact on customer purchasing behavior at offline retailers influences customer movement and sales volume. But in many cases, each retailer relies on unsystematic and autonomous product placement. When multiple products are sold with one purchase, the customer's movement for shopping may be evaluated in terms of customer efficiency and additional impulse purchase. In this paper, the social network is applied to sales data of a retail store and the result is used for evaluation of product placement and customer path. The frequent sales product composition was identified using k-core from sales data in the form of shopping baskets. The location was checked for the identified compositions of products, the spatial variance was measured and the customer's path was identified. With these results, the store arrangement of products was evaluated with appropriate improvement directions. The analysis method of this paper can be an alternative analysis approach for better layout of retail stores.

• Journal of Information Technology Applications and Management
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• v.14 no.4
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• pp.97-120
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• 2007

Development of information technology and Internet brought big changes in information society. Quantity of information increased rapidly and various types of information were presented through diverse channels. This change brought an impact in electronic commerce environment. A large number of products are transacted in online market. And various search functions and product information are presented for supporting customer's decision making. This study examined the effect of external information on purchase decision-making in electronic commerce environment. An experiment was conducted to see the customer product review, unit sales, etc. on purchase decision-making process in online shopping mall based electronic commerce. As a result of study, external information referring to number of purchasing, positive product review, and reliability of information has a positive effect on purchase-decision. The significance of the study can be found in that it defined 1) external information has an effect on decision-making, 2) positiveness and reliability of product information showed that they have an influence on customer, and 3) when self opinion and other person's opinion are different, one is not satisfied with decision making process. The results of the study can be of practical use in the design and implementation of online shopping mall in electronic commerce.

• Journal of Information Technology Applications and Management
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• v.14 no.2
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• pp.129-149
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• 2007

The purpose of this study is to examine the effect of relationship orientation factors on customer satisfaction and loyalty in Internet shopping malls. Based on previous exploratory work and a review of the literature of relationship marketing, six key factors of relationship orientation construct are identified: trust, bonding, communication. shared value. empathy and reciprocity. And a conceptual model is developed and seven research hypotheses are empirica1ly examined using structural equation modelling. The results show that bonding, shared value and reciprocity has statistically significant effect on the trust of online customers and trust has a positive influence on customer satisfaction and loyalty in Internet shopping malls. Theoretical. managerial and research implications are discussed.

• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.1
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• pp.231-244
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• 2012

Consumer dissatisfaction and complaints make it difficult for online shopping mall to maintain existing customers and attract new customers, which may result in a direct profit loss. The primary purpose of this study is to investigate the relationship between customer dissatisfaction in terms of product-complaints and website complaints and complaint behaviors in terms of individual, public, and 3rd party complaint behaviors. Th results indicate that product-dissatisfaction is significantly related to the public and 3rd party complaint behaviors, but not the individual complaint behavior. Website dissatisfaction was not found to be significantly related to any complaint behavior. The moderate effect of sex and individual attitude on the relationship between customer dissatisfaction and complaint behaviors was also not considerable.