• Journal of Korea Trade
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• v.24 no.8
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• pp.39-62
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• 2020

Purpose - Korean exports account for a vast proportion of Korean GDP, and large volumes of Korean products are sold in the United States. Identifying and characterizing actual and potential product hazards related to Korean products is critical to safeguard Korean export trade, as severe quality issues can impair Korea's reputation and reduce global consumer confidence in Korean products. In this study, we develop country-of-origin-based product risk analysis methods for social media with a specific focus on Korean-labeled products, for the purpose of safeguarding Korean export trade. Design/methodology - We employed two social media datasets containing consumer-generated product reviews. Sentiment analysis is a popular text mining technique used to quantify the type and amount of emotion that is expressed in the text. It is a useful tool for gathering customer opinions regarding products. Findings - We document and discuss the specific potential risks found in Korean-labeled products and explain their implications for safeguarding Korean export trade. Finally, we analyze the false positive matches that arise from the established dictionaries that were used for risk discovery and utilize these classification errors to suggest opportunities for the future refinement of the associated automated text analytic methods. Originality/value - Various studies have used online feedback from social media to analyze product defects. However, none of them links their findings to trade promotion and the protection of a specific country's exports. Therefore, it is important to fill this research gap, which could help to safeguard export trade in Korea.

• The Journal of Industrial Distribution & Business
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• v.8 no.6
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• pp.75-86
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• 2017

Purpose - The purpose of this study is to grasp the concept, characteristics and application status of sharing economy, and to derive a research model based on sharing economic service, and to analyze factors and influences of consumers' intention to reuse of sharing economy. Research design, data, and methodology - The questionnaires were created to examine variables for practical and theoretical implications. After pilot survey, conducted for 24 days from March 10th to April 2st in 2017, total numbers were 377. But 330 copies were used for the analysis with IBM SPSS Statistics 23.0 and IBM SPSS AMOS 23.0. The structural equation model was applied for this. Results - First, sharing economic services remain at an early stage, but it is meaningful to identify the revenue mechanism of the business model of the sharing economic platform. Second, in this study, it is meaningful that we systematized the theoretical structure by examining existing studies on the characteristics of the sharing economic service and consumer characteristics, and by examining empirically. Third, Satisfaction and Reliability are related to the characteristics of Sharing Economic Service (Security, Convenience, Discount, Sharing, Social Interaction), Consumer Characteristics (Personal Innovation, Word-of-Mouth) It is meaningful to broaden the understanding of the factors by verifying the mediating effect. Fourth, the sharing economy business is meaningful in that it is a new consumption trend that changes the meaning of consumption to consumers. Gradually, more and more people are recalling that purchasing something is not consumption, but sharing and borrowing is also consumption. In other words, through the sharing economy, consumers can experience more products and services, have more choices, and are expected to have a positive impact on economic growth by increasing the utilization of idle resources. Conclusions - Currently, the sharing economy is growing rapidly all over the world. Therefore, in the subsequent study, it is necessary to compare Korea and China's sharing economy and study the cultural and social characteristics of Korea and China. In particular, I think that steady research is necessary for more precise and specific direction on the influence of the shared economy.

• The Journal of Society for e-Business Studies
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• v.16 no.4
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• pp.241-256
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• 2011

The present study examines the impact of eWOM on consumer decision making process by viewing eWOM as the product information supplier. We employ the concept of information entropy which was proposed in the information theory to explain different consumer responses to various types of product information in eWOM. Information entropy is the degree of uncertainty associated with the information in the message. In eWOM, a variety of information with different levels of entropy is available, and these different entropy levels result in different impacts on consumer behavior. The preliminary hypotheses are formulated to examine the impact of eWOM on consumer behavior, at the product attribute level and the purchase action level separately. An experiment was conducted to online shopping mall users and the analysis gives valuable insights into our future research.

• Fashion & Textile Research Journal
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• v.20 no.2
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• pp.177-190
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• 2018

Fashion industry constantly produces and consumes, which leads to huge waste piles of perfectly usable textiles in landfills, as well as other negative effects of an exploitative and excessively rapid fashion process. Pollution created by making and dyeing clothes has pitted fashion industry and environmentalists against each other. In this context, upcycling is seen as an optimal way to solve the growing problem of waste in fashion industry. The first purpose of the study was to analyze the relationships between upcycling fashion products' perceived value, pro-environmental beliefs, attitudes, electronic word of mouth (eWOM) intention, and purchase intention. The second purpose is to verify the difference of perceived consumption value among the consumers' awareness level and purchase experience. A total of 258 valid responses obtained from a group of 20-30-year-old participants were collected through an online survey. SPSS 23.0 and Amos 18.0 programs were used for data analysis. The results of the present study suggest that there are significant effects of upcycling fashion products' perceived value on pro-environmental belief; furthermore, pro-environmental belief was found to positively influence attitude, eWOM intention, and purchase intention. In addition, there are differences of perceived consumption value among the consumers' awareness level and purchase experience. Taken together, the results of this study provide researchers and practitioners with a deeper understanding of consumers' values, beliefs, attitudes, and behavioral intentions towards upcycling fashion products.

• Korean Journal of Human Ecology
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• v.21 no.5
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• pp.1005-1016
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• 2012

Recently, as growing number of consumers publish product and service reviews on the Internet, e-review has received attention from retailers and researchers. E-review, a form of electronic word-of-mouth (eWOM) which is typically shared between strangers whose identity and credibility are unknown, has become an important product information source as social media has facilitated information exchanges between more consumers. The objective of this study was to investigate the effects of e-review attributes on purchase intention for fashion products, which is mediated by trust of e-review, as well as to explore the differences between consumer communities and cooperative communities. A questionnaire was developed based on previous researches. Data were gathered from adults living in Busan. The results were analyzed by factor analysis, t-test, and regression using SPSS 18.0. The results showed that consumers tended to recognize e-reviews from consumer communities as exaggerated information, while they considered reviews from cooperative communities as reliable information, which gave the latter higher purchase intention. There were significant differences in e-review attributes for fashion products (e.g., Exaggeration, Entertainment, Innocence, and Agreement), purchase intention between consumer communities (e.g: Blog, Internet cafe) and cooperative communities (e.g: general malls and specialty malls). For both communities, purchase intention of fashion products was influenced by its entertainment attributes and perceived trust of e-reviews. These results suggest that e-retailers need to focus on understanding the causes of purchase intention with e-reviews for fashion products. Specifically, e-retailers should recognize that e-reviews of fashion products were associated primarily with entertaining and with consumers' trust. Based on these findings, managerial implications are presented.

• Fashion & Textile Research Journal
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• v.19 no.2
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• pp.180-193
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• 2017

The increase use of smartphones has paved the way for quick dissemination of online information. This has a huge influence on consumers' purchase decision making and the formation of a company's image. As such, this study focuses on product review from mobile beauty applications(apps); in particular, the perceived information authenticity. The purpose is as follows. First, to examine if there is any difference in perceived information authenticity based on the types of product review. Second, to analyze how perceived information authenticity influences brand attitude, purchase intention, and electronic word of mouth(e-WOM) intention. The study targets consumers in their 20s and 30s who have experience buying a product via a mobile beauty app. Three hundred responses are analyzed using SPSS 21.0 and AMOS 18.0. The results reveal that, first of all, consumers derive higher perceived information authenticity from a multi-facet review rather than a double-facet review. Second, among the traits of perceived information authenticity, only a brand's perceived reliability has a significant influence on brand attitude. Third, this brand attitude has a positive influence on purchase intention and e-WOM intention. In conclusion, these findings can serve as an important discussion point for companies developing a mobile beauty app, drawing attention to perceived information authenticity, based on the types of product review.

• The Journal of Information Systems
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• v.26 no.1
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• pp.21-51
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• 2017

Recently there have been an increasing number of companies suffering a negative brand image in the major media. Thompson et al. (2006) defined this as "$Doppelg{\ddot{a}}nger$ Brand Image." The images mentioned above have been created and propagated on Internet communities, which are one of the major paths of online spreading. This study will empirically analyze the effect of each $Doppelg{\ddot{a}}nger$ brand image on the customer's brand attitude, using a text-mining method focusing on "A company"'s case. This study will also cover the change in customer brand attitudes related to the company's correspondence in a situation in which the $Doppelg{\ddot{a}}nger$ brand image exists. In addition, the study will determine the presence of a priming effect after the spread of the $Doppelg{\ddot{a}}nger$ brand image. To that end, we collected 974 comments from 94,889 posts and A's official blogs related to A from B community, the largest automobile community site in Korea. Through this investigation, we obtained the following results. First, there was a significant difference in the ratio of negative sentiment of internet community before and after $Doppelg{\ddot{a}}nger$ brand image. Second, with regard to the topic modeling, the ratio of articles including negative topics increased and the other article ratio decreased over time. Finally, we found that there is a priming effect about negative brand image of "A company."

• The Journal of Industrial Distribution & Business
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• v.13 no.4
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• pp.35-49
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• 2022

Purpose - According to the recently changing consumer smart environment and consumer decision-making process, this study investigates the structural relationship between electronic(online) WOM information characteristics and brand community experience value types on specific brand reliability and brand transformation. In particular, the characteristics of word of mouth information and the experience value of brand community users were divided into detailed fac tors and approached. Methodology - In order to proceed with this study, we review previous studies and setting hypotheses. The hypothesis was verified through a survey that was conducted for the consumers with online consumption activities in less than six months. With reference to previous studies, operational definition was made for the questionnaire design. In order to verify the hypothesis, 282 people were statistically analyzed through the survey This data were used for AMOS for confirm hypothesis established. Results - eWOM information characteristics were classified into usefulness, timeliness and un-bias, and online community experience values were classified into interaction, playfulness, and virtuality. In addition, it is to investigate the relationship between the brand reliability and user's experience value in brad community. The main results are as follows. The first result was that usefulness and un-bias, which are the eWOM information characteristics had a positive effect on forming brand reliability. However, the factor of timeliness did not affect brand reliability. Second, in terms of user experience value and brand reliability in the brand community. It was fo und that experience values such as interaction, playfulness, and vituality all had a positive influence on brand reliability. Third, it was found that brand reliability has a positive influence on the on-line conversion activity of users. Conclusions - Through this study, the field of online consumer behavior research is expanding, and this study suggested that careful management is necessary according to the type or characteristics of eWOM information. Additionally, it presents the importance of the user's empirical value in the brand community influencing brand attitude and reliability. In practice, the implementation of the marketing communication mix in digital marketing has recently been underway to enhance the conversion behavior of users. At this level, it also reveals the preceding factors that increase user conversion behavior.

• The Journal of Industrial Distribution & Business
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• v.11 no.6
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• pp.41-53
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• 2020

Purpose: The purpose of this study is to review the previous studies on the characteristics of the image search service provided by using artificial intelligence, the social impact characteristics, and the moderating effect of perceived anthropomorphism, and conduct empirical analysis to identify the constituent factors affecting purchase intention. To clarify. Through this, I tried to present theoretical and practical implications. Research design, data, and methodology: Research design was that characteristics of image search service (ubiquity and information quality) and social impact characteristics (subjective norms, electronic word of mouth marketing) are affected by mediation of satisfaction and flow, therefore, control of perceived anthropomorphism have an effect on purchase intention to increase. For analysis, research conducted literature review, and developed questionnaires, so that EM firm which is a specialized research institute has collected data. This was conducted on 410 people between the 20s and 50s who have mobile shopping experiences. SPSS Statistics 23 and AMOS 23 had been used to perform necessary analysis such as exploratory factor analysis, reliability analysis, feasibility analysis, and structural equation modeling based on this data. Results: first, ubiquity, information quality and subjective norms were found to have a positive effect on purchase intention through satisfaction and flow parameters. Second, satisfaction and flow were found to have a mediating effect between ubiquity, information quality, and subjective norms and purchase intentions. However, there was no mediating effect between eWOM information and purchase intention. Third, perceived anthropomorphism was found to have a moderating effect between information quality and satisfaction, and it was found that there was no moderating effect on the relationship between information quality and flow. Conclusions: The information quality of image search services using artificial intelligence has a positive effect on satisfaction, and it has been found that there is a positive moderate effect of perceived anthropomorphism in this relationship, which may be an academic contribution to the distribution science utilizing artificial intelligence. Therefore, it is possible to propose a distribution strategy that improves purchase intention by utilizing image search service and anthropomorphism in practical business and providing a more enjoyable immersive experience to customers.

• Journal of Fashion Business
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• v.25 no.5
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• pp.149-162
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• 2021

Nowadays, the cosmetic and fashion industries are paying attention to influencer marketing on Instagram. In this study, we determined whether electronic word of mouth (e-WOM) communications were affected by the following parameters: the influencer's information source, message sidedness, and consumer's regulatory focus. The experimental design of this study is a three-way mixed ANOVA, which comprises of 2 (influencer information source: expert vs general consumer) × 2 (message sidedness: two-sided message vs one-sided message) × 2 (consumer regulatory focus: promotion focus vs prevention focus) structure. The data for this research study was obtained by distributing a questionnaire to 410 subjects. The participants were aged between 20 and 39 years and lived in Seoul and Gyeonggi areas. In total, the data of 396 subjects was analyzed with the help of SPSS 25.0 statistical program: frequency analysis, reliability analysis, t-test, three-way ANOVA, and simple main effect analysis were performed. The analysis results were as follows: First, influencer information sources and consumer regulatory focus exhibited a significant interaction with consumers' e-WOM intentions. Second, message sidedness and consumer's regulatory focus exhibited a significant interaction with e-WOM intentions. Third, influencer information source and message sidedness exhibited a significant interaction with consumers' e-WOM intentions. Based on these findings, the type of influencer's information source and the consumer's regulatory focus was taken into consideration while marketing cosmetics on Instagram. Moreover, influencer marketing strategies must be used to evaluate message sidedness. This would help us gauge the consumer's attitude towards advertisements.