• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.588-590
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• 2013

This study aims to explore and understand better how consumers' value orientation relates to consumer's intention to use and Word-of-Mouth behaviors in using Web sites. Consumers have perceptions of the shopping value they acquire during their experiences in navigating Web sites. This consumer's shopping value is considered as utilitarian shopping value, information shopping value, and hedonic shopping value. The current paper proposes that value orientation of consumers in Web sites would consequently affect consumer attitude such as intention to use and Word-of-Mouth. In addition, the research investigates the moderating effect of consumer's personality between consumer's shopping value and consumers' attitude in Web sites. For testing the hypothesized research model, survey and Lisrel analysis are conducted. The findings emphasize that online providers need to focus on the perceived values most salient to consumers in order to improve their profitability. Furthermore, providers may also identify the reason why consumers perceive these values much lower when using the Web sites.

• Information Systems Review
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• v.25 no.4
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• pp.67-87
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• 2023

Many online shopping sites now offer personalized recommendation systems to improve consumers' shopping experiences by lowering costs (time, cost, etc.), catering to consumers' tastes, and stimulating consumers' potential shopping needs. So far, domestic and foreign research on the personalized recommendation system has mainly focused on the field of computer science, which is advantageous for obtaining accurate personalized recommendation results for users but difficult to continuously track the users' psychological states or behavioral intentions. This study attempted to investigate the effect of the characteristics of the personalized recommendation system in the online shopping environment on consumer perception and purchase intention for consumers using the Stimulus-Organism-Response (S-O-R) model. The analysis results adopted all hypotheses on the effect of the quality of the personalized recommendation system and information quality on trust and perceived value. Through the empirical results of this study, the factors influencing consumers' use of personalized recommendation system can be identified. In order to increase more purchase, online shopping companies need to understand consumers' tastes and improve the quality of the personalized system by improving the recommendation algorithm thus to provide more information about products.

• The Journal of the Korea Contents Association
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• v.19 no.2
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• pp.328-339
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• 2019

Shopping information contents shown on online shopping sites represent online retailer's intention to draw potential consumers' visual attention. However, unfortunately, previous studies in literature show that most of the shopping information contents are naively designed just to appeal to consumers' visual attention without systematic and logical analysis of consumers' possible different visual reactions depending on gender. To fill in the research void like this, this study proposes eye-tracking approach to investigating the research issue of how gender affects consumers' visual attention towards human brand image contents on the online shopping sites. For the sake of conducting related eye-tracking experiments, we adopted two types of products - notebook computer as a utilitarian product, and perfume as a hedonic product. Results revealed that female consumers show higher visual attention to human brand image contents than male consumers. Besides, significant gender difference exists on the human brand image contents more highly when they are attached with a hedonic product like perfume, than a utilitarian product like notebook computer. From the eye-tracking-based experiment results like this, this study suggested theoretical backgrounds about gender differences towards online shopping information contents and related human brand image contents as well.

• The Journal of Information Systems
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• v.20 no.3
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• pp.41-61
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• 2011

In order to buy products through the Internet, consumers dissipate much time and efforts in collecting and comparing product information from various online shopping malls. Consumers can save their efforts by using price comparison sites, but there are some shortcomings in comparison shopping. Firstly, comparison sites do not show the lowest price of some products that are selling in shopping malls. Secondly, the product information provided by comparison sites is sometimes wrong. Thirdly, there are too many results. In order to overcome the shortcomings, we suggested a comparison shopping system based on RSS by using ontology matching. We used the current RSS standard for syntactic interoperability instead of suggesting new standards. Moreover, we used ontology matching for semantic interoperability to compare product information with different ontologies. The suggested ontology matching consists of three steps. The first step is finding exact sense from WordNet for a given product category, and the second step is searching for matching product category candidates from the products of RSS feeds. The final step is calculating similarities of the candidates with the target product category. From the experiments, we could get better recall rates that are suitable for e-commerce environments and the results show that our system is effective in product comparison.

• The International Journal of Costume Culture
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• v.13 no.1
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• pp.42-50
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• 2010

The purpose of this study was to find differences in evaluation criteria and product information based on jeans products consumers. The participants of this study were women age of 19 to 30 years. This study was implemented by descriptive survey method using questionnaires. A total 182 questionnaires were analyzed in this study. The subjects were grouped by the evaluation criteria of purchasing jeans through an online shopping. Finding of the study showed that, Group 1 was high involvement group. They conscious of both style feature and practicability of jeans when they bought jeans. Group 2 was low involvement group. They are not conscious of those features. The important factors were different by groups. The most important factors of purchasing jeans for Group 1 were fashion trend and practicality. Price was the most important factor for Group 2. They bought jeans at extremely low or high price. On the other hand, Group 1 bought jeans of diverse prices range. The popular shopping sites were different between two groups. The department store was the most important place purchasing jeans for both groups. The second important place was specialty stores for Group 1, and online shopping for Group 2. The usefulness of product informations were also examined when they evaluated the jeans at online shopping. The most useful product informations were leg cut style and rise length. Fit information was very important for Group 1. Group 1 considered that the function of zoomming the picture image was important. The material characteristic and name of brand were also useful than Group 2. But the size and care instruction were not highly useful.

• Journal of the Korean Society of Clothing and Textiles
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• v.39 no.5
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• pp.703-713
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• 2015

Consumers' psychological demands for e-tail shopping have increased as websites have become one of the most dominant retail outlets for various fashion products. The lack of realistic social stimuli in virtual contexts (websites) has been a major limitation for many online shoppers. Prior research has focused on the viable role of technology to improve positive social factors in e-tailing; however, this study tests the role of tone in text in fashion e-tail sites on consumers' trust and choice confidence. We conducted a self-administered online survey with 309 individuals from the U.S.. The results indicated positive effects of casual tone in text-based content of a fashion e-tail site on trust and confidence. Trust also has a significant positive effect on confidence. Both trust and confidence improved purchase intention. Given the high price of employing an avatar or simulated salesperson online, using tone in text to increase positive social effect on shoppers can be a positive alternative when managers plan e-tail strategies contributing to consumers' positive shopping experience online. Discussions and study limitations are provided.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.1
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• pp.349-356
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• 2016

This study analyzed the influence of online consumers' shopping values on customer satisfaction and loyalty. The shopping values in this paper include the utilitarian-, hedonic-, and social engagement-shopping values. The hypothesized research model was proposed based on five main constructs: three shopping values, customer satisfaction, and customer loyalty. This study tested the hypothesized model using the data from 182 consumers who purchased accommodation products over the last six months. The findings showed that consumers' shopping values have a significant impact on customer satisfaction. In addition, the customer satisfaction has a significant influence on customer loyalty. Online accommodation booking sites need to make efforts to recognize the consumers' different shopping values and social influences to use a website as a tool for managing customer relationships.

• Journal of the Korean Society of Clothing and Textiles
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• v.47 no.4
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• pp.609-624
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• 2023

This study aimed to explore the effects of perceived benefits on consumers' attitudes towards cross-border online shopping websites. We also explore whether and how consumers' COVID-19 anxiety and brand familiarity weaken or strengthen the relationship between these perceived benefits and consumer attitudes. A total 319 items of data were used for the final analysis. The perceived benefits of a website were found to have only an indirect effect on purchase intentions by mediating consumers' attitudes toward the site. Competitive pricing of fashion products directly affected purchase intentions. COVID-19 anxiety was found to have a negative moderating influence on the relationship between perceived enjoyment and consumer attitudes, whereas brand familiarity had a positive moderating effect on both the relationships between perceived usefulness and consumers' attitudes toward the site and between perceived ease of use and their site attitude. This study provides useful insights for international e-tailers in developing marketing strategies that attract international consumers. Academically, we have contributed to the existing literature on the perceived benefits of global online shopping and the moderators of consumers' attitudes towards e-commerce sites.

• Journal of Information Technology Applications and Management
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• v.21 no.3
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• pp.35-52
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• 2014

This study aims to examine how the relationship with an information source affects people to perceive credibility of online information. We developed a conceptual framework that explained how people perceived information credibility when they were familiar with the information source and/or when the information source seemed credible. We then compared the models in two different contexts, namely, online review and social media sites, to examine differences. We surveyed 136 online social media users with their online shopping experiences. Among our eight hypotheses, three (H6: the personality similarity between an information provider and an information seeker enhances the perceived credibility of the former; H7: the credibility of an information provider produces a much stronger mediating effect in review sites than in social media sites; H8: the familiarity of an information seeker with an information provider produces a stronger mediating effect in social media sites than in review sites) are fully supported and four (H1: the credibility of an information provider has a positive influence on the perceived credibility of the online information; H2: the familiarity of an information seeker with an information provider has a positive influence on the perceived credibility of the online information; H3: the goal similarity between an information provider and an information seeker enhances the perceived familiarity of the latter with the former; H5: the personality similarity between an information provider and an information seeker enhances the perceived familiarity of the latter with the former) are partially supported. The hypothesis of H4: the goal similarity between an information provider and an information seeker enhances the perceived credibility of the former is rejected. The result confirms that credibility of information is strongly mediated by credibility of information source than familiarity with information source in online review sites and vice versa in social media sites.

• Journal of Information Technology Services
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• v.17 no.1
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• pp.155-170
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• 2018

This study examines a data-driven approach for software test automation at an online shopping site. Online shopping sites typically change prices dynamically, offer various discounts or coupons, and provide diverse delivery and payment options such as electronic fund transfer, credit cards, mobile payments (KakaoPay, NaverPay, SyrupPay, ApplePay, SamsungPay, etc.) and so on. As a result, they have to test numerous combinations of possible customer choices continuously and repetitively. The total number of test cases is almost 584 billion. This requires somehow automation of tests in settling payments. However, the record playback approach has difficulties in maintaining automation scripts due to frequent changes and complicated component identification. In contrast, the data-driven approach minimizes changes in scripts and component identification. This study shows that the data-driven approach to test automation is more effective than the traditional record playback method. In 2014 before the test automation, the monthly average defects were 5.6 during the test and 12.5 during operation. In 2015 after the test automation, the monthly average defects were 9.4 during the test and 2.8 during operation. The comparison of live defects and detected errors during the test shows statistically significant differences before and after introducing the test automation using the data-driven approach.