• Journal of Families and Better Life
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• v.30 no.4
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• pp.105-117
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• 2012

This study examined Chinese students' satisfaction level regarding their Korean Internet shopping mall experiences and the measured factors were pre-purchase, purchase, delivery, A/S and security, additionally, evaluate the level of repurchase intention on Chinese students living in South Korea. To accomplish these goals, an online questionnaire survey was conducted between October 1 and 10, 2011. A total of 365 questionnaires were used for the final analysis. The analysis process involved many statistical methods such as frequency, correlation and regression. The results indicate the following finding: First, Chinese students normally visited and purchased from popular Internet shopping malls and the items that they purchased the most frequently were clothing and shoes, makeup, computer and electronics. Second, the Chinese students' satisfaction level regarding their Internet shopping mall experiences was not high. They were especially worried about security matters regarding their personal or financial information. Third, their satisfaction level with the delivery process has the largest influence on their repurchase intention. Also, their gender, the length of time they had lived in Korea, the length of time they spent on Korean Internet shopping mall websites, the amount of frequency of online shopping in Korea, and their satisfaction with their purchase, the delivery process, the A/S process and security affected their repurchase intention in different degrees. The conclusion provides valuable information for devising a strategic direction for improving the foreigners' satisfaction level regarding and repurchase intention on Korean Internet shopping malls.

• Fashion & Textile Research Journal
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• v.16 no.4
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• pp.554-563
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• 2014

The purpose of this study was to investigate the purchase behavior, the level of shopping satisfaction for inbound Chinese tourists buying fashion products and the analysis of the influence of fashion product purchase criteria and effects of store attributes toward shopping satisfaction in Korea. Subjects were selected through convenient sampling technique in Incheon International Airport. A self-administered questionnaire was developed in Chinese by translation and back-translation method. Finally, 284 questionnaire out of 420 were used for data analysis. To analyze data, factor analysis, correlation analysis, regression analysis, etc. were carried out. A used statistical package was PASW 18.0. The analysis results were as follows. First, most of the repondents were women in 20s and 30s, who were purchasing fashion products more than other during the period of travel. Second, the product purchase criteria were identified as 'practicality', 'design and quality', 'memorabilia' and 'hallyu'. As the analysis results, shopping satisfaction was influenced by 'design and quality' and 'hallyu'. Thirdly, the effects of store attributes were identified as 'product', 'environment' and 'employees'. and customer's shopping satisfaction was influenced by all of those. By the end of this paper, For the purpose of achieving more competitive fashion products, the 4P marketing strategies targeting Chinese tourists were discussed based on the results.

• Journal of the Korean Society of Clothing and Textiles
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• v.39 no.4
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• pp.625-639
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• 2015

The number of Chinese tourists visiting Korea has rapidly increased over the last decade. It is important to understand Chinese consumption patterns and shopping behavior because they have become major customers in the Korean fashion market. This study focuses on how Chinese tourists feel while shopping in Korea and how emotions influence their attitude towards purchased products. We examine how planned purchase and unplanned purchase impact shopping emotions and product usage satisfaction. A survey was conducted on 550 women between 20 and 60 years of age who have visited Seoul more than once with an online panel from an international survey firm. Data are analyzed using structural equation modeling by AMOS 20.0. Respondents were asked to recall most impressive fashion product that they bought in Korea during their recent visit and to answer if it was a planned or unplanned purchase. This study also measures emotions during product purchases and usage satisfaction. The respondents are categorized into heavy and light buyers according to purchasing power to determine the moderating effects of purchase amount. The results indicate that planned purchases tend to deliver positive emotions that enhance product usage satisfaction. In the case of unplanned purchases, without the mediating role of positive shopping emotions, it has a negative impact on product attitude and shows the importance of positive emotions during shopping. The influence of unplanned purchases on shopping emotions or product attitude in light buyers is not significant for the moderating effect of purchasing power. Only planned purchases trigger product usage satisfaction when it is mediated by positive emotions.

• Journal of the Korea Fashion and Costume Design Association
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• v.12 no.4
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• pp.1-13
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• 2010

The purpose of this study is to examine the different preference as well as the factor for this preference between general internet shopping mall and feminine internet fashion shopping mall only which are subjected with women and know the satisfaction which follows hereupon. This research will help to establish the strategy to marketers who manage feminine internet fashion shopping mall. The results of this study as follows; 1. As the result of the analysis of preference factors for general internet shopping mall, it was classified with, convenient characteristic, economical efficiency, product and information characteristic, sales promotion, and customer service. Also differences among preference factors appear with following orders, economical efficiency, convenient characteristic, product and information characteristic, sales promotion, and customer service. 2. As the result of the analysis of preference factor for feminine internet fashion shopping mall, it was classified with, fashion information and style, purchase product, economical efficiency, product assortment, and customer service. Also differences among preference factors appear with following orders, fashion information style, product assortment, purchase product, economical efficiency, and customer service. 3. As the result of the analysis of preference factors, convenient characteristic and product information mostly effects to satisfy the customers who use general internet shopping mall. Also purchase product, product assortment, fashion information and style mostly effects to satisfy the customers who use feminine internet fashion shopping mall.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.549-552
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• 2013

The research conducted here focuses on the definition and organization of information privacy concerns in e-commerce process. 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. Through empirical model analysis, this study found that self-efficacy and digital literacy affect negatively IPC, while customer alienation has an positive effect on IPC. IPC affects positively customer satisfaction. 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.

• The Research Journal of the Costume Culture
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• v.20 no.2
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• pp.154-168
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• 2012

This study examined size combination suitability of the underwear sets in home shopping and discussed the degree of consumer satisfaction as well as purchase criteria and evaluation after purchase of women's underwear. The survey was conducted from 1st to 15th September 2010 on a total of 300 women aged between 20 to 50, living in Seoul and Gyeonggi-do region who had bought women's underwear through home shopping. The completed data, 245 out of 300, was used for the final analysis. The analysis conducted in the study with SPSS statistics package includes frequency analysis, reliability analysis, factor analysis, chi-square analysis, $t$-test, ANOVA and Duncan's Multiple Range test. Evaluation items on purchase criteria and evaluation after purchase were processed with factor analysis. The results of the present study showed that product differentiation strategies are required based on age in order to improve consumer satisfaction and repurchase intention in home shopping underwear. Moreover, most of underwear products sold in sets in home shopping are provided based on the brassiere size. As a result, women who do not fit into the home shopping underwear size combination may be less satisfied. When consumers choose their own brassier and briefs size or combinations of various brassier and briefs sizes, it would increase consumer satisfaction.

• The KIPS Transactions:PartD
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• v.11D no.3
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• pp.635-648
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• 2004

Extreme programming is the most representative methodology among agile software development methodologies that is agile in business environment which change fast. As software industry is matured, usability of software quality characteristics is emphasized gradually, but effort to obtain usability in extreme programming is insufficient. In this paper, three things lacked in extreme programming are reinforced. First, roles of user interface expert are defined. Second, usability testing method to extreme programming are introduced. Third, development process and products are proposed. The proposed plan is validated by four methods, which analyze supporting software development life cycle, analyze satisfaction of CMM key process areas, analyze satisfaction of CMM practices, and analyze development of green tea shopping mail. Green tea shopping mall is improved 23％ in the estimated running time, 21％ in the learnability. Also, usability is improved 18％ in the heuristic evaluation and 16％ in the questionnaire method.

• The Research Journal of the Costume Culture
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• v.31 no.4
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• pp.519-532
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• 2023

The online shopping market is expanding, with online shopping malls now subdivided into personal computer(PC) and mobile versions. Meanwhile, various efforts to promote online sales are being carried out in a bid to improve performance, and detailed research is required to inform such strategies. The purpose of this study was to classify online shopping mall types into PC fashion malls and mobile fashion malls with the aim of assessing sales promotion satisfaction and investigating the relationship between sales promotion satisfaction and consumers' behavioral intentions. Data were collected by a survey firm in June 2023, and 248 copies of the data were used for analysis. SPSS 28.0 was used to process the data, and frequency analysis, factor analysis, reliability analysis, and regression analysis were performed. The satisfaction factors for various sales promotions used by PC and mobile fashion shopping malls were empirically subdivided in consideration of consumer perspectives, and potentially effective marketing strategies were presented. Differences were observed in the type of satisfaction with sales promotion between PC fashion shopping malls and mobile fashion shopping malls and in the effect of sales promotion satisfaction on behavioral intention. Based on the study's findings, effective sales promotion strategies that can increase satisfaction and enhance behavioral intention may be developed and implemented through the use of various and different sales promotion strategies in PC and mobile fashion shopping malls.

• Journal of the Korea Society of Computer and Information
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• v.28 no.10
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• pp.277-289
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• 2023

The purpose of this study is to explore the mechanisms influencing consumers' continued intention to use live-streaming e-commerce for shopping, providing strategic recommendations for businesses to optimize live-streaming activities and enhance consumers' shopping experiences. In this paper, we innovatively integrate the UTAUT2 and ECM theoretical models to construct a comprehensive research framework. This framework not only thoroughly reveals the multi-dimensional variables that affect consumers' continuous usage intentions but also delves deeply into the interrelationships among these variables. We collected data extensively through surveys and utilized the Structural Equation Modeling and Bootstrapping methods for analysis. The research results indicate that performance expectation plays a crucial role in determining the continuous usage intention; satisfaction exerts a significant mediating effect between performance expectation and four other variables concerning continuous usage intention; and expectation confirmation stands out as the most prominent factor in enhancing satisfaction.

• The Research Journal of the Costume Culture
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• v.31 no.5
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• pp.651-668
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• 2023

This study aims to help companies with efficient investment and marketing strategies by empirically verifying the impact on satisfaction and purchase intention for artificial intelligence-based digital technology supported shopping assistants introduced in e-commerce. Frequency, factor, SEM, and multiple group analysises were conducted using SPSS 26.0 and Amos 26.0. As a result, first, motivated consumer innovativeness elements of AI shopping assistant were derived into a total of four categories: functional, hedonic, rational, and reliable. Second, in the order of hedonic and rational, satisfaction with the AI shopping assistant was significantly affected, and in the order of rational and functional, purchase intention was significantly affected. The satisfaction with the AI shopping assistant did not affect the purchase intention. Third, in the case of hedonic, the AI-preferred group had a more significant effect on satisfaction than the human-preferred group, and in the case of rational, there was no difference by group in purchase intention. Thus, it was found that consumers prefer AI shopping helpers for e-commerce because they can shop reasonably and are functionally convenient. Therefore, when introducing AI shopping assistants, it is essential to include content that can compare and analyze fundamental information, such as product prices, as well as search functions and payment system compatibility that facilitate shopping.