• The Journal of Society for e-Business Studies
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• v.4 no.2
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• pp.1-22
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• 1999

In this paper, we review and classify shopping information services for electronic commerce in Korea. Shopping information services for electronic commerce can be divided into shopping mall information service and product information service. Shopping mall information service simply shows and suggests information on the shopping malls that it has in its data store. But product information service provides information about the items of the shopping malls the service has and therefore gives more powerful and convenient interfaces to users. Cutting-edge product information services can perform online comparison shopping facility, which searches and compares the items what the users want on the reasonable basis of economical criteria, such as price. Books, CDs, and Personal Data Assistant(PDA)s are the products of which the specification is clear enough to be described on the Web. And the comparison of the products by the information service is performed on the basis of "price" of the product item. The approach to design and implement product information service can be divided into two categories. The one is an application of data warehousing mechanism, which stores the product information on the regular basis of time and provide it when the users query over the Web-database gateway. The other approach is a shopping agent mechanism, which stores information on "how to shop" and the shopping agent collects the information of product items just after users query about the product and provide the information in real time or notify them by alerting service. Thirty nine shopping information services are compared and classified in this paper and they are extracted from "Naver" and "Yahoo! Korea". The final result shows that most services are just a simple shopping mall information service in growing stage, product information services with data warehousing are lack in product ontology in middle stage, and that product information services with shopping agent are in early stage.

• Journal of Distribution Science
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• v.15 no.4
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• pp.69-78
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• 2017

Purpose - The study was AI as exploratory study on artificial intelligence (AI) shopping information services, to explore the possibility of a new business of the distribution industry. For research, we compare to IBM of consumer awareness surveys an AI shopping information service for retailing channel and target goods group. Finally, we present to service scenario for distribution service using AI. Research design, data, and methodology - First, to identify possible the success of the information service shopping using AI, AI technology for the consumer is very important for the acceptance of judgement. Therefore, we explored the possibility of AI information service for business as a shopping. The experimental data were used to interpret the meaning of the relevant literature and the IBM Institute of Business Value (IBV) Report 2015. This research is based on the use of a technical acceptance model (TAM) to determine whether the consumer would adopt the 'AI shopping information service' technology. Step 1 of the process assumes that the consumer adopts AI technology. In step 2, consumers find their preference channels and goods targeted at them as per their preferences. Finally Step 3, we present scenario for 'AI shopping information service' based on the results of Step 1 and 2. Results - Consumers have expressed their high interests in the new shopping information services, especially the on/off line distribution channels can use shopping information to increase the efficiency in provision of goods. Digital channel (such as SNS, online shopping etc.) is especially high value goods such as cars, furniture, and home appliances by displaying it to an appropriate product group. Conclusions - The study reveals the potential for the use of new business models such as 'AI shopping information service' by the distribution industry. We present seven scenario related AI application refer from IBM suggestion, and the findings would enable the distribution industry to approach target consumers with their products, especially high value goods. 'Shopping advisor' is considered to the most effective. In order to apply to the other field of the distribution industry business, which utilizes AI technology, it should be accompanied by additional empirical data analysis should be undertaken.

• The Journal of Industrial Distribution & Business
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• v.9 no.12
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• pp.31-43
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• 2018

Purpose - Smartphone shopping malls provide customers with a variety of tangible and intangible services including web sites, web design, use convenience, information for products and shopping and various after services. Accordingly, it is needed to expand and classify service qualities based on the various services provided by smartphone shopping malls, and then analyze path structures of smartphone shopping malls' qualities → customer satisfaction → behavioral intention. The purpose of this study is to categorize the qualities of smartphone shopping mall users based on the e-SERVQUAL by Lee(2002) and the SERVQUAL by Parasuraman et al.(1988, 2005), the smartphone shopping malls' service qualities based on service quality of smartphone shopping malls used in the previous use studies, and the Website quality factors of service industry and to analyze path structure of smartphone shopping mall's qualities → customer satisfaction → behavioral intention on college students in order to confirm the system of smartphone shopping malls' qualities. Research design, data, and methodology - This study's survey was carried out on the college students of university located in northeastern of Seoul. It was from December 7 - 15, 2017, and a total of 240 questionnaires were distributed, with 228 collected. Of them, effective questionnaires used in the final study were a total of 201 except 27 that couldn't be used. In this study, empirical analysis was done with factor analysis, correlation analysis, multiple regression analysis, simple multiple regression analysis and moderating regression analysis by using Statistics Package SPSS18.0. Results - The study results are as follows: First, smartphone shopping malls' qualities were classified into six categories like customer system quality, Web design quality, convenience quality, information-offering quality, service quality, and product quality. Second, it showed that system quality, Web design quality, and information-offering quality had a positive impact on customer satisfaction, respectively. Third, it suggested that quality factors of smartphone shopping mall users had a positive impact on customer satisfaction in the order of quality, information-offering quality, system quality and Web design quality. Finally, it showed that customer service quality, product quality, and convenience quality did not have a positive impact on customer satisfaction. In addition, it said that customer satisfaction of smartphone shopping mall users had a positive impact on behavioral intention and thereby, the higher the customer satisfaction was, the higher the relations between reuse intention and recommendation intention were. Meanwhile, moderating regression analysis showed that trust did not have moderating effect in the relations between customer satisfaction and behavioral intention. The above study revealed that smartphone shopping malls' qualities were classified into six categories and it was possible to generalize after empirical analysis was made in the path structure. Conclusions - Smartphone shopping mall users consider usefulness of obtaining shopping information and quality on quick and abundant shopping information more important than access environment of smartphone shopping malls and kind services of smartphone shopping mall managers. Thereby, smartphone shopping mall marketers need to take service qualities like system quality and information-offering quality into more consideration.

• Journal of the Korean Data and Information Science Society
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• v.15 no.1
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• pp.11-20
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• 2004

The purpose of this paper was to reveal Service Operation Strategy for the Internet shopping mall based on the types of internet users' market segmentation focus on the internet shopping behavior and e-service quality. In this paper, we examined internet shopping behavior and internet service quality factor depend on the types of internet users' group empirically. The empirical study result identifies the main decision factor depend on the types of internet users' group. On the basis of these result, Service Operation Strategy for the internet shopping mall has been suggested.

• Journal of Fashion Business
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• v.13 no.6
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• pp.99-110
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• 2009

The purpose of this study is 1) to investigate the Web content of online shopping agencies and to see if differences exist in their contents and 2) to suggest strategies for online shopping agencies. For the study, the online shopping agency components of web sites were investigated, which consisted of product, information, and customer service. Each component had sub-categories. In order to analyze the Web content of online shopping agencies, nine agencies were chosen based on the rankings of www.rankey.com and www.100hot.co.kr. The content analysis was conducted from January 5th to the 30th of 2009. The results showed that the basic Web content of online shopping agencies (i.e., product, information, and customer service) was evident on most sites. However, products were similar and effective information and labor-saving functions were sparsely used. Areas where customers actively participated were limited. Therefore, most sites need to reinforce their content by providing a well-articulated product, information, and customer service for shoppers and to differentiate their Web site identities.

• Journal of the Korean Society of Clothing and Textiles
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• v.39 no.6
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• pp.899-909
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• 2015

TV home shopping maintains annual growth in the midst of harsh competition by numerous fashion retail channels. This study investigated the dimensions of service quality of TV home shopping for fashion products as well as the effect of service quality on relationship commitment and customer loyalty. Questionnaires were distributed to consumers in their 20s to 40s who purchased fashion products via TV home shopping in the past 6 months. A total of 240 questionnaires were put into the analysis. The results are as follows. First, four dimensions of service quality of TV home shopping were found: convenience, economy, entertainment, and information seeking. Relationship commitment had two dimensions of affective commitment and calculative commitment. Second, the service quality of TV home shopping affected customer loyalty through a relationship commitment. The predictors of affective commitment were entertainment, economy, and information seeking; in addition, those of calculative commitment were economy and entertainment. Third, both affective commitment and calculative commitment predicted customer loyalty to TV home shopping. The affective commitment had more predictive power. The findings show that the service quality of TV home shopping did not directly affect customer loyalty, but they had influence through relationship commitment variables. Entertainment and economy were the most powerful predictors among service quality dimensions.

• Fashion & Textile Research Journal
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• v.10 no.5
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• pp.607-617
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• 2008

This research investigated the factors that effect on the trust and loyalty in on-line shopping mall and analyzed a structural relationship of these variables. The variables are service quality, information quality of on-line WOM(afternote), reputation of on-line shopping mall. The Instrument dimensions of service quality are tangibles, responsiveness, assurance, diversity goods and price fairness. The Instrument dimensions of information quality of on-line WOM(afternote) are usefulness, abundance, accuracy and specialty. The Instrument dimensions of reputation of on-line shopping mall are cognizance and comment. The results by LISREL are as follows : There are 7 factors that effects on trust and loyalty. These are tangibles, responsiveness, assurance and price fairness of instrument dimensions of service quality, usefulness, specialty of instrument dimensions of information quality of on-line WOM, cognizance of the Instrument dimensions of reputation of on-line shopping mall. Specially, there are significant point that usefulness and specialty of afternote which can contact easily in on-line shopping mall effect on the trust and loyalty in on-line shopping mall.

• Journal of Korea Society of Digital Industry and Information Management
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• v.5 no.2
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• pp.185-197
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• 2009

The Purpose of this study was to investigate of university students' perceived Service Qualities on the internet fashion and apparel shopping malls. This survey was carried out with real customers. Data were obtained from 197 internet fashion shopping mall consumer(university students) who have bought fashion products. Questionnaires related to service quality, perceived service value and loyalty. This study was investigated with focused on customer of university students itself. To find relationships among variables, exploratory factor analysis and multiple regression was carried out with collected data. The resulted were as follows: 1. The service quality dimension of fashion internet shopping malls were external quality of web, reliability quality and emotional quality. 2. The all of service quality dimensions of internet fashion and apparel shopping malls had an effect on university students perceived value and loyalty.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.9
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• pp.1387-1396
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• 2008

The objective of this study was to identify differences between internet fashion shoppers and non-shoppers in their fashion shopping orientation and attitude toward internet shopping site service. Also behavior of internet shoppers and non-shoppers was compared by gender. Twelve hundred and ninety two responses were obtained from an online survey. 20 items were used to measure shopping orientation and 13 items to measure attitude toward internet shopping site service, which were modified from previous studies. Some demographics and internet familiarity were asked. Factor analysis, t-test, chi-square test, and regression were conducted. Factor analysis produced five fashion shopping orientation factors such as fashion oriented, shopping oriented, brand oriented, personality oriented, and value oriented. Attitude toward internet shopping site service were classified into three factors, at-site service, after purchasing service, and product information. Internet fashion shoppers and non-shoppers were significantly different in most items of shopping orientation and attitude toward internet site service. Internet shoppers were likely to be fashion oriented, to enjoy shopping, to pursue brandname and personality, and to concern price more than non-shoppers were. Internet shoppers also had more favorable attitude toward product information and at-site service. Also, shoppers were more familiar than non-shoppers to the internet in terms of duration of web-browsing. Ratio of men and women differed significantly for shopper vs. non-shopper groups. Female shoppers were likely to be more fashion, shopping. and value oriented but to have less favorable attitude for after purchasing service than male shoppers.

• The Journal of Information Systems
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• v.15 no.1
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• pp.21-48
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• 2006

Recently the development of information technology and the emergence of electronic commerce have changed the model of purchase behavior in customers. This research aims to enhance the reliability of the result compared to the existing studies in internet shopping mall, and to find out the influence that logistics service quality elements has on customer satisfaction and that customers satisfaction has on the repurchase intention and word of mouth intention. To do so, prior researchs on the logistics service quality, customer satisfaction, repurchase intention and word of mouth intention was widely reviewed and the relationship between logistics service quality elements and customer satisfaction, and between customer satisfaction and repurchase intention and word of mouth intention were empirically tested. A total of 256 responses were received and analyzed from internet shopping mall. The analyses showed partial support for the affirmative effect of logistics service quality, customer satisfaction and post-purchasing behaviors in the internet shopping mall.