• The Journal of Information Systems
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• v.26 no.4
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• pp.107-135
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• 2017

Purpose Along with the growth of smart phones and social networking service (SNS), social commerce continues to expand. Although online reviews have become an important source of the information that consumers use to make purchasing decisions, theoretical development and empirical testing in this area are still limited. Thus, there is a need to develop further understanding about the influence of electronic word-of-mouth (eWOM). Drawing upon the heuristic - systematic model (HSM) which is one of the dual-process theories, this study develops a research model that explains key factors influencing consumers' eWOM credibility. Furthermore, this study verifies that consumer's eWOM credibility is a key determinant of eWOM and purchase intentions. Design/methodology/approach The proposed model is empirically tested with 493 users who have experience in WeChat-based social commerce. The structural equation model (SEM) analysis is used to evaluate the research model and hypotheses. Findings The major findings are as follows. First, argument quality of eWOM (a systematic factor) has a positive effect on eWOM credibility. Second, source credibility and recommendation consistency of eWOM (heuristic factors) are positively associated with eWOM credibility. Finally, purchase and eWOM intentions greatly depend on eWOM credibility. These results confirm the effectiveness of HSM in explaining eWOM mechanisms in SNS-based social commerce. The details of findings and implications are presented.

• Asia pacific journal of information systems
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• v.30 no.1
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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.

• The Journal of Industrial Distribution & Business
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• v.9 no.11
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• pp.17-24
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• 2018

Purpose - The portability, functionality, and convenience of smart phones are constantly updated. With the rapid popularization of users of mobile terminals, Xiaomi is also developing rapidly. In February 2015, the users of Xiaomi exceeded 100 million people. As a transnational industry, Xiaomi has developed rapidly in not only China but also Korea. However, through the literature review, there is no radmissible study on the Xiaomi mobile telephones in the Korean market, so it is necessary to study the Xiaomi mobile phones in Korean market. Research design, data, and methodology - Figure analysis of data and social science analytical software of IBM SPSS AMOS 23.0 and IBM Statistics 23.0 were used for all the data researched. Results - First, the innovative diffusion temperament and the compatibility of Xiaomi have positive impacts on achievement expectations and effort expectations. Second, the innovative diffusion temperament and the complexity of Xiaomi have negative impacts on achievement expectations and effort expectations. Third, the innovative diffusion characteristics and the relative superiority of Xiaomi have positive impacts on achievement expectations and effort expectations. Conclusions - Through the analysis of the prior study, the innovation acceptance characteristics consist of compatibility, complexity, relative superiority, observation possibility, and the attempt possibility; the technical acceptance characteristics consist of achievement expectations, effort expectations, social influence, promotion condition, the study conducts relevant research on the continued use intention and analyze the hypothesis of research model.

• Journal of Distribution Science
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• v.17 no.7
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• pp.15-25
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• 2019

Purpose - e-Commerce is now one of the alternatives in shopping. Ease of Use and convenience aspects are the main supporting reasons that e-commerce is a trend for most people today. This study examines the relationship between the theory of technology to consumer behavior in using e-commerce applications. Research design, data, and methodology - The number of samples in this study was 600 samples from four major e-commerce made in Indonesia. The research method of this study Structural Equation Model (SEM) with AMOS and SPSS applications as analysis tools. Results - The results of this study state that most hypotheses support prior research and grand theory. On the other hand, the components of technology acceptance theory are mostly able to moderate variable consumer behavior in the digital era. Conclusions - The combination of essential elements of technology theory are oriented to the fundamental aspects of human beings as social beings. The most important thing for the development of the e-commerce industry to develop and be sustainable is the obligation to increase consumer confidence. The combination of components of technology theory and CCT can be a comprehensive marketing strategy and innovation to competitive advantage in the future.

• Journal of Distribution Science
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• v.15 no.10
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• pp.15-28
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• 2017

Purpose - With the rapid growth of Chinese mobile pay market, it's necessary to run a study of the aims why users prefer to intention of use for mobile fingerprint payment. To reach this goal, UTAUT added Perceived Security and DOI. Research design, data, and methodology - The researchers conducted this study by using collected 3126 responses and the collected data was analyzed by applying statistical techniques factor analysis, AMOS, and Cronbach's Alpha and SPSS 22.0. Results - The result shows that compatibility and relative advantage of mobile fingerprint payment have positive effect on performance expectancy and effort expectancy separately, and the performance expectancy and effort expectancy have positive effect on people's use intention of mobile fingerprint payment. Social influence has a positive effect on the users' use intention of mobile fingerprint payment, Facilitating conditions has a slight effect on the users' use intention of mobile fingerprint payment, Perceived security has the most significant effect on he users' use intention of mobile fingerprint payment. Conclusions - The research showed that compatibility is one of the most important elements that make users continue to use the product. The mobile fingerprint payment must own clearer advantages than other ones that it can reach the biggest market. The Social Influence has a positive influence on the intention of use.

• 한국디지털정책학회:학술대회논문집
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• 2004.05a
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• pp.525-544
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• 2004

The Purpose of this study is to examine logistics characteristics related to electronic commerce and to suggest improvement of logistics Service in electronic commerce. This paper concerns the logistics functions which are essential for completing a commerce process even under the EC environment and provides ways to improve the logistics performance. Electronic commerce have introduced two scenes; dramatic change of the existing distribution surroundings and noticeable achievement of the economic advance and social efficiency. But, in the same scene, electronic commerce can be a threat to business condition, especially logistics management. It suggests that for activation of EC it is necessary to strengthen the strategic alliances, introduce GPS and use the third party logistics positively to prepare for the settlements of traffic problems, support the introduction of integrated logistics service and logistics information system.

• Journal of Fashion Business
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• v.21 no.1
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• pp.124-133
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• 2017

This study analyzed consumers' online fashion shopping site usage by site type and analyzed how product information search and product purchase differ. In addition, by comparing and analyzing preference and selection factors of PC and mobile shopping, we tried to provide basic data of effective mobile commerce operation strategy according to expansion of mobile market in fashion industry. We surveyed the use of 6 types of online sites (portal site, open market, general shopping mall, social commerce shopping mall, brand shopping mall and non-brand shopping mall) to understand the usage of mobile shopping site for consumers' fashion products. Consumer survey subjects were 373 college students in their early 20s who had the most mobile shopping experiences. The questionnaire consisted of online fashion site usage items, internet and mobile fashion shopping preference (6 items), internet and mobile shopping choice behavior (10 items), and purchase intention (3 items) .Data were analyzed using SPSS 14.0 program. The high preference of portal sites, open market, social commerce, and non-brand shopping malls in shopping online fashion products is a result of the perceptual changes of major distribution channels and the trends of consumers' value consumption tendency. Therefore, it is necessary for fashion companies to actively cope with fashion product distribution competition with huge shopping sites of current online market by well understanding consumers' preference trends and factors of online sites.

• Journal of Information Technology Applications and Management
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• v.25 no.4
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• pp.1-21
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• 2018

Due to the increase in the use of the Internet, it is becoming more common to provide or use a social login for registering for services. Herein, the purpose of this study is to analyze the influence of security, individual innovativeness, ubiquity and brand awareness on the use of social log-in service through the individuals' attitude who have memorized various IDs and passwords by using Technology Acceptance Model (TAM). In addition, the effect of individual innovativeness on the relationship between social login characteristic factors and attitudes toward social login services are examined. Based on the statistical results, it is found that the significant factors affecting the attitude toward the social login service are the security, ubiquity, brand awareness and perceived usefulness. Moreover, the individual innovativeness is found to have the moderating effects in the relationship between the three factors (the perceived usefulness, and perceived ease of use, and security) and attitude toward the social login service. Positive attitudes increase with the usefulness, ease of using social login serive when individual innovativeness is high. On the other hand, when individual innovativeness is low, the stronger the effect of security on attitude toward the social login services. In accordance with these results, the implications and limitations of this study are discussed.

• Journal of Digital Convergence
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• v.15 no.2
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• pp.115-120
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• 2017

Online reputation systems for social network services(SNS) aggregate users' feedback and estimate the reputation of contents or providers. The aim of this research is to enhance credibility of the online reputation system on the SNS based e-Commerce(we called it as social commerce). SNS users usually refer to evaluations from other users who bought the products before. Most social commerce sites provide reputation system to help their customer make a decision, but sometimes we can't believe the reputation because the reputation is too subjective and the seller can deceive the customer for sales promotion. Threrefore, we usually use just the average value to show the general customer's evaluation result. We applied collaborative filtering method to give more weighting to the users who have evaluated correctly in the past. As a result, we could get more accurate evaluation results by considering each customers' credibility value that was computed by collaborative filtering.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.67
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• pp.233-253
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• 2015

The cooperation among industry, academy and government is the main factor for world leading trade country. In particular, many papers and research is greatly helpful for finding the needs of industry and establishing strategies. Academic activities have significantly contributed the development of trade. In recent time, the approach based on complexity, convergence and consilience in increasing in academic fields for more mutual understanding and exchange of ideas. For this reason, joint research is necessary in trade. In this research, author can find not only the trend of joint research but also the centrality of trade researchers in the excellent journals in Korea by use of Social Network Analysis.