• Proceedings of the Korean Society of Computer Information Conference
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• 한국컴퓨터정보학회 2011년도 제44차 하계학술발표논문집 19권2호
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• pp.173-174
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• 2011

본 논문에서는 그림을 그려서 원하는 이미지를 그리고, 이를 인식하여 상품을 찾아주는 정보전달 방식을 제안한다. 사용자가 원하는 이미지에 맞는 상품을 검색할 수 있도록 하는데, 그림 그리기가 가능하고, 개인의 "공감", "신뢰"를 실현하는 공간과 개인과 기업을 연결해주는 정보성 검색으로 쇼핑몰을 연계하는 것을 목표로 한다. 본문 내에서는 고객이 직접 찾는 디자인을 간단히 그리면 비슷한 그림의 상품이 나오게 되는 공간을 제작, 상품이 나오면 기업과의 연계를 통하여 구매로까지 이어질 수 있는 공간을 제시하는 것을 목표로 한다.

• Journal of the Korean Society of Clothing and Textiles
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• 제35권6호
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• pp.621-634
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• 2011

This study analyzed the influencing factors on consumer purchase deferrals for internet clothing shopping. In addition, based on consumer demographics, it compared the differences of purchase deferrals with respect to clothing items, prices, and types of shopping malls. For an empirical study, 405 questionnaires were answered by respondents in their 20s and 30s with internet clothing purchase deferral experience. Data were analyzed using: SPSS for Windows 12.0 and descriptive statistics, reliability analysis, factor analysis, $X^2$-test, and regression analysis. The results of this study were as follows. First, the order of items with many purchase deferrals in internet clothing shopping were casual T-shirt>casual skirts>pants, one-piece>suits>sportswear>blouse/shirts and 58.3% of purchase deferrals happened when the price was below \50,000. Second, the significant differences in products, prices, and shopping malls for purchase deferrals were identified according to consumer demographics. There were significant differences in clothing items according to gender, age, marriage, and education; however, there were significant differences only according to gender in terms of price. There were significant differences according to gender, age, marriage, education, and income in terms of the used shopping malls. Third, for the analysis of the influence of diverse factors that can affect purchase deferrals for internet clothing shopping, the more information search, purchase deferral habits, perceived risks, and deficiency in shopping mall supply conditions were when higher purchase deferrals occurred. For a strong competitive online market, this study can help internet clothing shopping mall entrepreneurs manage products and customers by analyzing the lists of purchase deferrals indicated in "cart" and by administrating the influential factors for purchase deferral.

• Journal of Digital Convergence
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• 제20권1호
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• pp.141-153
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• 2022

This study tried to understand the structural relationship of consumer characteristics on consumer emotions and satisfaction in online shopping. First, consumer characteristics derived various tendencies through previous studies. Next, consumer emotion was defined as positive and negative emotions in the six purchasing processes from information search to use, and satisfaction was defined as the overall satisfaction of the purchasing experience. To this end, this study measured consumer satisfaction and positive/negative emotions in the six consumption processes in their 20s and 40s with online clothing shopping experience within the last month. Finally, structural equation modeling(SEM) was conducted. As a result, the model fit was good, and impulse purchase tendency, conspicuous consumption tendency, innovation tendency, and trendy shopping tendency only affected negative emotions. On the other hand, it was confirmed that information search tendency, hedonic shopping tendency, and economic shopping tendency directly affect positive emotions and indirectly affect consumer satisfaction. Through this, implications for improving the consumer experience in online shopping were presented by identifying consumer characteristics and enhancing consumer emotions.

• Fashion & Textile Research Journal
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• 제23권5호
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• pp.586-597
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• 2021

Personalized product recommendation service is receiving attention as a new marketing strategy while supporting consumer information search and purchasing decisions. This study attempted to verify the effect of self-reference on service use behavior through the dual path of cognitive attitude and emotional attachment. Using convenience sampling, an online survey was conducted with 324 women who were in their 20s and 30s. After collecting and compiling the survey data, the reliability and validity of variables constituting the conceptual research model were verified through confirmatory factor analysis using AMOS 22.0. Next, the significance of sequentially mediated pathways was verified using Process 3.5 Model 80. The results showed that self-referencing not only significantly affects service use intention by simply mediating cognitive attitudes but also sequentially mediates cognitive attitudes and additional information search. Furthermore, self-referencing was significant as an indirect path to service use intention by mediating additional information search. However, in the path mediated by emotional attachment, self-referencing was considered as a simple mediated path leading to service usage intention. These results indicate a dual path in the psychological mechanism, through cognitive and emotional evaluation, that prompts consumer behavioral responses to the personalized product information provided in the shopping process.

• The Journal of the Korea Contents Association
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• 제16권6호
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• pp.73-81
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• 2016

The electronic commerce environment allows customers to search for information and purchase products and services via direct contact with internet markets. Purchasing through the internet is not a real experience of purchasing, but is based on some pictures, information and advertisements of products. To improve E-commerce environment in Iran, purchasing behavior of Iranian young adults in the internet shopping mall is analyzed in this study. The factors which influence the motivation of internet shopping and the selection of internet shopping mall is investigated, and statistical tests were applied between these factors and other variables such as gender, job, age and education. The results of the tests showed that there is a gender difference on one of the shopping mall selection factor (i.e., abundant information about products); also there is a gender difference on the one of the shopping motivation factor (i.e., possibility of comparing products). Besides, there is a job difference (student or non-student) on the factor of 'Purchase frequency per month'. Other facts are also found that Iranian consumers are not sure about a product's quality, so they refuse to buy products such as foods, clothes and other products. Additionally, they are dissatisfied about the safety of internet shopping malls.

• Archives of design research
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• 제17권4호
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• pp.289-298
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• 2004

The development of the Internet has influenced consumers' information search process and purchase behaviors. The environmental changes and consumers' lifestyle changes have stimulated them to use the Internet shopping mall. However, people used to shop the low-involvement product rather than high-involvement product such as clothing product at the internet shopping mall due to the subjects' perceived risks or product characteristics. The purpose of this study is to examine the differences of consumers' attitudes toward the two types of apparel internet shopping mall. With compared to the existing shopping mall, this study generated Web3D internet shopping mall by designing Abata, representing the user's body figure. The changes of respondents' attitudes toward the internet shopping mall and purchase intentions would provide the possibility and future direction of the Web3D internet shopping. Recommendations and future research were also discussed.

• The Research Journal of the Costume Culture
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• 제31권5호
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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.

• Management & Information Systems Review
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• 제9권
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• pp.81-97
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• 2002

In the beginning of the Web history, the main function and importance of the Internet was focused on the content of the data. However, that focus has been switched to the search engines because of the abundant, humongous amount of data that are spread all over the globe. The Webmasters are now implying flasy, beautiful graphics and newly developed technologies to make their websites attract the Internet users. The significant change was mainly caused by the companies that thought cyber shopping malls were going to be very simple and profitable. They believed that the decreasing prices of hardware and easy-to-use software were going to attract the potential customers, resulting in a new, massive market. A website needs to be extremely captivating and attractive, in order to bring in new customers and induce them to return. The Webmaster has to devise methods to find out what kinds of contents would bring in a bigger audience, as well as checking the validity and correctness of the contents. In the thesis, the necessity and concept of a personalized Internet shopping mall will be discussed through the theoretical examination of the one-to-one marketing and the concept of the current shopping malls. The scheme of the personalized shopping mall will be presented, which will encourage the formation of loyal customers, in the ever-growing competitiveness of the marketing environment, by satisfying their wants faster and more precisely.

• Management & Information Systems Review
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• 제34권3호
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• pp.79-100
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• 2015

This study is to examine the factors that influence purchasing behavior and decision-making when consumers buy goods through mobile shopping, define purchasing decision-making with the steps of problem recognition, information search, alternative assessment, and purchasing behavior to understand mobile consumer behavior, and investigate how the factors of each step play roles and influence consumers' purchasing decision-making through positive analysis to figure out consumer purchasing behavior in mobile shopping. The study results, First, the user characteristics of information search influence flow. Second, in the relations between the user characteristics in the step of information search and perceived risk in alternative assessment, if recognition on gains is higher, perceived risk for time loss gets lower, and when the level of skills is higher, perceived risk gets higher, and it has been partly adopted that innovativeness does not influence risk perception. Third, in the relations between flow experience and purchasing intention, it has been found to be partially significant that remote presence and challenge do not influence purchasing intention but do influence excitement, attention concentration, and control and also do influence perceived risk and purchasing intention. Fourth, according to the results of analyzing the difference of consumer purchasing behavior by the types of involvement, practical involvement and sensual involvement, user characteristics and flow, and perceived risk differ by the types of products in terms of the search process, thereby changing purchasing intention. Lastly, the significance and limitations of this study was discussed.

• The Journal of Society for e-Business Studies
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• 제13권3호
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• pp.21-49
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• 2008

The area of the internet shopping mall heavily relies on new emerging information technologies, and it essentially requires delicate marketing model to support consumer behavior. RSS, which is one of the representative Web 2.0 technologies, is the system that distributes digital contents without any Web browser. RSS is expected not only to be very useful in online marketing but also to become actively applied on various areas such as online newspapers and blogs. AISAS model was proposed to complement the AIDMA model that did not cover the new changing customer behaviors of online commerce environment such as search and share. In this research, we propose a marketing model which utilizes RSS based on the AISAS model to support internet shopping malls. With our marketing model, internet shopping malls are expected to provide required services to the customers at every AISAS step. Moreover, it can provide integrated services by connecting all service components of each step. We utilized RSS in our model to implement those services because RSS has many advantages on supporting search and share of product information.