• 디지털산업정보학회논문지
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• 제5권4호
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• pp.213-229
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• 2009

The purpose of this paper is to identify the relationship among five factors of web design, e-satisfaction, e-loyalty, and customer defection and provide the implications of marketing strategies in online shopping. The research findings are as follows: first, ease of use of web design affects positively e-satisfaction more than the other factors except financial security. Second, e-satisfaction affects positively e-loyalty. Third, e-satisfaction does not affect customer defection. Fourth, informativeness, styling, ease of use, and trust of web design affect indirectly e-loyalty by mediating e-satisfaction. Therefore, because there is a good circular relationship among web design, e-satisfaction, and e-loyalty, it is very important to enhance web design for customers. When customers satisfy highly with the factors of web design, e-loyalty is higher and customer defection is lower. Further, in a curriculum of web design it is needed to reflect the findings of this paper.

• 품질경영학회지
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• 제33권2호
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• pp.40-50
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• 2005

HoQ (House of Quality) provides an effective tool not only to arrange and evaluate VoC (Voice of Customers) and VoE (Voice of Engineers), but also to link and combine VoC and VoE, thereby presenting explicit directions for quality improvement. There have been, however, few researches on the HoQ framework in the IT industry. The case study discussed here serves an illustration of the applicability and usefulness of the HoQ approach to website quality improvement. The proposed HoQ framework shows great potentials since customers needs are explicitly considered in the framework, and it helps website administrators develop better web services by providing guidelines for reengineering the website operations.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권2호
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• pp.676-691
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• 2022

An increasing number of companies in the fashion industry are using AI curation services. The purpose of this study is to investigate perceptions of and intentions to use AI fashion curation services among customers by using text mining. To accomplish this goal, we collected a total of 34,190 online posts from two Korean portals, Naver and Daum. We conducted frequency analysis to identify the most frequently mentioned keywords using Textom. The analysis extracted "various," "good," "many," "right," and "new" at the highest frequency, indicating that consumers had positive perceptions of AI fashion curation services. In addition, we conducted a semantic network analysis with the top-50 most frequently used keywords, classifying customers' perceptions of AI fashion curation services into three groups: shopping, platform, and business profit. We also identified the factors that boost continuous use intentions: usability, usefulness, reliability, enjoyment, and personalization. We conclude this paper by discussing the theoretical and practical implications of these findings.

• Asia pacific journal of information systems
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• 제30권1호
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• pp.143-165
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• 2020

The rapid growth of economic transactions generated by live streaming broadcasts ("LSB") has created opportunities for retailers to increase sales. However, little is known about what impact LSB celebrities have on customers and what causes LSB celebrities to become famous. This study aimed to fill this gap by studying the economics of LSBs. This study was conducted through a para-social relationship and attractiveness theory framework. Consequently, social and task attraction were assumed to be the antecedents of the para-social relationship that induced purchase intention. This study examined the impact of relationship rewards, self-disclosure, affective interactivity, informative interactivity, and the amount of information provided on purchase intentions through LSB. Celebrities can use the results of this study to enhance their appeal to fans and promote customers' purchase on e-commerce. This study contributed to the IS field by investigate the impact of para-social relationship on the online shopping context.

• Asia pacific journal of information systems
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• 제27권1호
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• pp.18-37
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• 2017

Many retailers have extended their extant online channels (i.e., websites) to mobile channels for communicating with and delivering their products or services to customers. However, retailers have trouble delivering a cohesive and seamless customer experience across the Web and mobile channels. To address this challenge, we propose a way for retailers to enrich customers' seamless experiences across channels by configuring mobile channels (functionality- and interactivity-oriented configurations) along with traditional Web channels. This study theoretically contributes a research framework that posits the role of mobile channels as an extension of existing websites. It also provides practical insight for effectively articulating an e-commerce strategy in cross-channel electronic commerce.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2000년도 추계학술대회 및 정기총회
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• pp.185-188
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• 2000

Dongdaemoon clothes market can make traditional commerce to improve problems which happen to traditional commerce and satisfy between customers and salers through combination among Electronic Commerce which is growing up in 21 centuries place innovation This thesis is focusing on suggesting strategies which practice to let Dongdaemoon clothes market customers and wholesalers, retailers to use Electronic Commerce as strategic skills by analyzing core successful factors for adopting Electronic Commerce in Dongdaemoon clothes market. Adopting Electronic Commerce in Dongdaemoon clothes market when the customer make a reservation and the salers provide the customer with discounting service, the customer was willing to but it. Internet service categories which affect customer's satisfaction are providing lots of product information. This thesis shows providing information made the customer to increase customers's satisfaction degree and buying intention. Also convenience of product research, and reliability in transaction process can enable the customer to increase transaction reliability. These factors are very important in Electronic Commerce. In addition, factors which show customer's suggestion and inconvenience by using best seller information and discounting service board when they buy some items in Dongdaemoon clothes market affect the customer satisfaction degree and satisfaction degree of providing information. However, this thesis is analyzed that reliability of transaction process doesn't affect all successful factors such as product quality, size, online payment system, price reliability.

• 산경연구논집
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• 제10권1호
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• pp.39-49
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• 2019

Purpose - Previous studies examined effects of sharing economy in the fields such as accommodation and automobile sector, while there are lack of researches in the field of skill-sharing economy. By classifying skill-sharing into general and special skill-sharing, this study explored effects of variables such as transaction utility, social utility, sustainability utility, emotional utility, economic utility, and trust utility, on attitudes, intention, satisfaction, and loyalty of demand (i.e., customers) and supply (i.e., providers) sides, potential, and actual customers. Research design, data, and methodology - Data were collected via both online and offline surveys. This study applied factor analysis and multiple regression analysis for findings. Results - Results show that utilities for general suppliers' skill-sharing are significant than other cases. Among utilities, this study found that trust utility shows significant for the cases of special customers', general suppliers' and special suppliers' potential skill-sharing. The results implies that trust is crucial in the transaction of the sharing economy. Conclusions - Enhanced managerial systems help resolve issues on the sharing economy. This study provides implications what are positive effects of skill-sharing economy and recommends proper establishment of the sharing economy.

• 한국생활과학회지
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• 제18권5호
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• pp.1063-1075
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• 2009

This study intends to provide foundational data for enhancing the welfare of customers purchasing digital products through analyzing the notes from written on-line reviews. The data used for the analysis are 6,342 on-line reviews for cell phones and digital cameras released from November, 2007 until April, 2008, which was posted on Naver Knowledge Shopping from November, 2007 until June, 2008. Through the on-line reviews, this article analyzed the evaluations on the digital products' hardware, software, design, service, price, and other criteria and the customers' emotional experience in the process of purchase, use, and possession. According to the results of the analysis, negative evaluation and emotional experience were originated from the company's information provision methods and purchase process. In addition, insufficient information searches in the process of online purchases, consumers' low right consciousness, and impolite on-line reviews were also problematic. Customers' evaluations and emotional experiences on digital products were conducted in a complex way. Based on that, this research makes suggestions in the company's marketing, customer education, and theoretical aspect.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권10호
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• pp.5120-5142
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• 2018

Social media enables customers to share their views, opinions and experiences as product reviews. These product reviews facilitate customers in buying quality products. Due to the significance of online reviews, fake reviews, commonly known as spam reviews are generated to mislead the potential customers in decision-making. To cater this issue, review spam detection has become an active research area. Existing studies carried out for review spam detection have exploited feature engineering approach; however limited number of features are considered. This paper proposes a Feature-Centric Model for Review Spam Detection (FMRSD) to detect spam reviews. The proposed model examines a wide range of feature sets including ratings, sentiments, content, and users. The experimentation reveals that the proposed technique outperforms the baseline and provides better results.

• The Journal of Asian Finance, Economics and Business
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• 제7권11호
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• pp.413-419
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• 2020

This research focuses on the analysis of factors affecting the market share of retailers in Vietnam. This research uses Smith and Chaffey's (2005) 5Ss e-marketing model for analysis, which include Sell, Serve, Speak, Save, and Sizzle. Both quantitative and qualitative methods will be used to conduct the study. The researchers collected information from customers, managers, and directors in 25 retailers in Vietnam. A survey questionnaire was delivered to 15 people in each of the retailers who are customers, managers and directors. The researcher used the SPSS 16.0 software to analyze the data collected and in-depth interviews were carried out with the purpose of testing the hypothesis as well as the overall framework of the research. Out of the 375 questionnaires delivered, 360 were returned. The means of 23 items in the survey questionnaire ranged from 3.3733 to 4.3533 representing the outcome of the descriptive analysis. Research results showed that Cronbach's Alpha coefficient of five factors affecting the market share of the retailers is sizzle, save, sell, serve and speak. This research has proposed some implications for the market share of retailers, including technology enhancement for full message delivery, ways to approach target customers, and improving product diversity.