• Journal of the Korean Home Economics Association
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• v.43 no.11 s.213
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• pp.153-164
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• 2005

The purpose of this study was to examine the effect of relationship commitment on the female customer's future behavioral intention in relation to the criteria of evaluating cyber stores in internet shopping malls. This study used questionnaire and judgment sampling to survey consumers who have bought product in internet shopping malls. The respondents were 329 women from their twenties to fifties. The data were analyzed by factor analysis, cluster analysis, ANOVA, regression and Duncan test. The results were as follows: 1. The evaluative criteria of cyber stores were product characteristics of the store, convenience and trust, and promotion and information provision. 2. There were significant differences in relationship commitment among groups according to differences of cyber store evaluation criteria. 3. The dimensions of relationship commitment were affective commitment, calculus commitment and normative commitment. 4. Relationship commitment was found to have a significant effect on the customer's future behavioral intention. Especially, affective commitment was shown to have a significant effect on the future behavioral intention.

• Journal of the Korean Society of Clothing and Textiles
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• v.37 no.1
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• pp.76-89
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• 2013

The exploration of the interaction effect among the components of attractiveness is impossible; therefore, this study uses an indirect estimates approach with multiple scale items that can measure the interaction effect among the components of attractiveness to solve the problem of direct estimates. Previous studies focused on intra-store type competition as their subjects; subsequently, this study dealt with intra-store type competition as well as inter-store type competition in the competing and selecting activities among fashion retailing stores with different business models (such as department stores, road brand stores, discount stores, outlets and internet shopping malls). This study suggests a generalized model for shopping attractiveness of stores and proposes a fashion retailing store type attractiveness (FaRSTA) model instead of a simple relative importance between store selection standards.

• The Journal of the Korea Contents Association
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• v.3 no.1
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• pp.47-57
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• 2003

The POS(Point Of Sales) system is S/W and H/W that enables to analyse and evaluate sales information that has been collected in the real-time at point of sales by each department in the store. However, existing POS systems are mainly aiming at the large scaled store with the specific high-priced equipment, so that in applying them to a store specializing in food have weak point to use them in the cost or scale respect. In this paper, we design and implement a web based POS system with PC(Personal Computer) and PDA/(Personal Digital Assistant) in wireless internet environment to apply POS system to a store specializing in food, without specific equipments.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.6
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• pp.31-35
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• 2015

The IoE service process for maximizing efficiency of information storage and utilization classifies in step five which are interconnected, data collection, storage, organize, analyze, and share. Two key processing elements are store and forward. Keeping the useful knowledge in safe location is "store processing", and utilization of stored useful knowledge is defined as "forward processing" during the IoE service process. Where, past experience data can tell us how to prepare the future utilization. That is, past experience is organized store processing, and preparation for the future is shared forward processing through analysis. To maximize the utilization and storage of information effectively, the various methodologies for IoE service process propose and research in this paper.

• Journal of the Korea Society for Simulation
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• v.9 no.2
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• pp.1-14
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• 2000

Recently, as construction of information infra including high-speed communication networks remarkably expands, more various information services have been provided. Thus the number of internet users rapidly increases, and it results in heavy load on Web server and higher traffics on networks. The phenomena cause longer response time that means worse quality of service. To solve such problems, much effort has been attempted to loosen bottleneck on Web server, reduce traffic on networks and shorten response times by caching informations being accessed more frequently at the proxy server that is located near to clients. And it is also possible to improve internet performance further by allowing clients to share informations stored in proxy caches. In this paper, we perform simulations of hierarchical proxy caches with the 3-level 4-ary tree structure by using real web traces, and analyze cache hit ratio for various cache replacement policies and cache sizes when the delayed-store scheme is applied. According to simulation results, the delayed-store scheme increases the remote cache hit ratio, that improves quality of service by shortening the service response time.

• Korean Management Science Review
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• v.17 no.3
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• pp.19-30
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• 2000

Customization and personalization services are considered as a critical success factor to be a successful Internet store or web service provider. As a representative personalization technique, personalized recommendation techniques are studied and commercialized to suggest products or services to a customer of Internet storefronts based on demographics of the customer or based on an analysis of the past purchasing behavior of the customer. The underlining theories of recommendation techniques are statistics, data mining, artificial intelligence, and/or rule-based matching. In the rule-based approach for personalized recommendation, marketing rules for personalization are usually collected from marketing experts and are used to inference with customers data. however, it is difficult to extract marketing rules from marketing experts, and also difficult to validate and to maintain the constructed knowledge base. In this paper, we proposed a marketing rule extraction technique for personalized recommendation on Internet storefronts using market basket analysis technique, a well-known data mining technique. Using marketing basket analysis technique, marketing rules for cross sales are extracted, and are used to provide personalized advertisement selection when a customer visits in an Internet store. An experiment has been performed to evaluate the effectiveness of proposed approach comparing with preference scoring approach and random selection.

• Asia pacific journal of information systems
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• v.14 no.1
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• pp.165-184
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• 2004

This paper focused on developing and empirically testing an EAM(Electronic-Store Acceptance Model), By basing upon Davis' TAM(Technology Acceptance Model) and reflecting the characteristics of EC(Electronic Commerce), the EAM was proposed. This EAM could be regarded as a revised and extended TAM in the EC area. The theoretical rationale of this model was as following: 1) Though Davis' TAM was proposed a powerful tool to explain and predict usage of Information Technology, nowadays, TAM variables(perceived usefulness and ease of use) are posited as key drivers of e-commerce acceptance. 2) In the e-commerce and e-business studies, trust has been emerging as a potentially important antecedent of IT adoption. A famous internet book store was chosen to empirically test the EAM. In order to evaluate reliability and validity of instrument, and validate the research model, SEM(Structured equation model) analysis was conducted. The results showed that perceived usefulness and trust significantly influenced e-Store Acceptance but perceived ease of use did not have significant influence on e-Store Acceptance.

• Proceedings of the Costume Culture Conference
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• 2005.10a
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• pp.101-101
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• 2005

• Journal of Distribution Research
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• v.13 no.3
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• pp.1-25
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• 2008

This study, from a temporal standpoint, seeks to validate the relationship between prior shopping experience, a pre-experiential construct, and impulsive/planned purchase intentions, a post-experience construct, based on strategic experiential module advocated by Schmitt (1999) by focusing on three key variables--prior shopping experience, on-site experiences, and emotional response to store atmosphere. Also, from a spatial standpoint, the study aims to valiadate the relationship between emotional response to store atmosphere and impulsive purchase intentions across three retail store types--department store, discount store, and internet store. Specific research purposes and findings are as follows. First, it was found that regardless of the degree of prior shopping, discount store and internet shoppers preferred cognitive shopping experience to emotional experience. Second, emotional shopping experience significantly influenced impulsive purchase intention, whereas cognitive shopping experience influenced planned purchase intention. Third, for discount store shoppers only did the interior colour serve as a positive moderator between emotional shopping experience and impulsive buying intention, while merchandise display served as a negative moderator.

• 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.