• The Journal of the Korea Contents Association
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• v.21 no.7
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• pp.93-104
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• 2021

Most of the existing studies on the volume and valence of the eWOM (electronic word of mouth) about movies and box-office revenues were conducted using online actual data (secondary data) at Yahoo Movies, IMDB.com, Naver Movies, etc. However, it is difficult to grasp psychological variables from online actual data. Therefore, existing studies using online actual data could not identify the causal relationship among volume, valence and psychological variables. This study fills this gap in the literature. This study aims to examine the direct and indirect effects (i.e. mediating effect) of the volume and valence of online reviews about movies on purchase intention through review credibility as a mediator. We conducted a survey on the South Korean consumers and a structural equation modeling. The outcomes show that the total effects of both volume and valence are significant. In addition, volume has an indirect effect only (i.e. full mediating effect) on purchase intention through review credibility, but valence has both direct and indirect effects (i.e. partial mediating effect) on purchase intention through review credibility. The theoretical and practical implications for these results are presented.

• The Journal of the Korea Contents Association
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• v.9 no.8
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• pp.255-271
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• 2009

Since consumers have difficulty in acquiring information related to products in online, they are apt to use WOM(word-of-mouth). It seems to be more popular and acceptable methods to acquire information about products sold in online. In other words, consumers who visit the Internet shopping-mall can not make a purchase-decision immediately because they have no sufficient knowledge about products. To solve this problem, consumers make use of the service called "online review". The objective of this study is to verify how these reviews can influence attitude toward the message, product and several buying behaviors in the online. In particular, this study focus on the message's sidedness(positive or negative) and objectivity(objective or subjective), because it is expected that consumers are likely to behave differently according to the characteristics of online reviews. Thus, to measure consumer's attitude and buying behavior, this study was examined by 4 types of messages. The results of this study are as follows: First, in the positive-objective message, the message attitude has a stronger effect on purchase intention than other outcomes. Second, in the positive-subjective message, the message attitude has a stronger effect on revisiting intention than others. Third, in the negative-objective message, the message attitude has a stronger effect on purchase intention than others. Hence, it is said that online shopping-mall managers need to understand the effects of multidimensional online review.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2007.05a
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• pp.143-154
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• 2007

인터넷이 대중화대면서 온라인 쇼핑이 가능해졌고 구매자들은 인터넷을 통해 구매와 관련 된 경험, 서비스 등을 다른 사람들과 공유할 수 있게 되었다. 인터넷 쇼핑의 특성상 제품을 직접 눈으로 보고 만져 볼 수 없기 때문에 온라인 구전(Online Word of mouth)이 상품 구매 판단의 잣대로 활용되고 있다. 따라서 본 연구에서는 온라인 쇼핑몰에서 구전 정보 특성이 구매자들의 인지된 구전 정보 가치에 영향을 미치는지 실증적으로 분석하였다. 구전정보의 객관성, 관련성, 신빙성, up-to-dateness는 인지된 구전정보가치 즉 구매 불확실성 감소에 긍정적인 영향을 주었다. 구매 불확실성 감소는 온라인 쇼핑몰의 신뢰에 긍정적인 영향을 미쳤다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.8
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• pp.3169-3181
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• 2015

Nowadays, online word-of-mouth has become a powerful influencer to marketing and sales in business. Opinion mining and sentiment analysis is frequently adopted at market research and business analytics field for analyzing word-of-mouth content. However, there still remain several challengeable areas for 1) sentiment analysis aiming for Korean word-of-mouth content in film market, 2) availability of machine learning models only using linguistic features, 3) effect of the size of the feature set. This study took a sample of 10,000 movie reviews which had posted extremely negative/positive rating in a movie portal site, and conducted sentiment analysis with four machine learning algorithms: naïve Bayesian, decision tree, neural network, and support vector machines. We found neural network and support vector machine produced better accuracy than naïve Bayesian and decision tree on every size of the feature set. Besides, the performance of them was boosting with increasing of the feature set size.

• Journal of Distribution Science
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• v.15 no.10
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• pp.41-50
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• 2017

Purpose - Online product review has become a crucial part of the online retailer's market performance for a wide range of products. This research aims to investigate how an individual reviewer's review frequency and timing affect her/his average attitude toward products. Research design, data, and methodology - To conduct reviewer-level analysis, this study uses 42,172 posted online review messages generated by 6,941 identified reviewers for 59 movies released in the South Korea from July 2015 to December 2015. This study adopts Tobit model specification to take into account the censored nature and the selection bias arising from the nature of J-shaped distribution of movie rating. Results - Our estimation results support that the negative impact of review frequency and timing on valence. Furthermore, review timing has an inverted-U relationship with the user's average valence and enhance the negative effect of review frequency. Conclusions - This study contributes to the growing literature on the understanding how eWOM is generated at the individual consumer level. On the basis of the main empirical findings, this study provides insights into building a recommendation system in online retail store based on the consumer's review history data - frequency, timing, and valence.

• 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.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.5
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• pp.2157-2167
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• 2013

The current paper aims to analyze the influence of users' self evaluation of e-service quality and others' word-of-mouth(WOM) on customer satisfaction and revisit intention in a family restaurant web site. The research model includes the constructs of service quality, WOM, customer satisfaction, and revisit intention. This study examines the hypothesized model using data from 175 college students around the Seoul metropolitan area who have visited a family restaurant as well as used its web site during the last three months. The findings show that service quality has a significant impact on customer satisfaction and a full-mediation effect between WOM and customer satisfaction. In addition, customer satisfaction has a significant influence on revisit intention. Family restaurants need to have an effort to manage service quality factors and social influences such as online WOM in order to use a web site as a tool of customer relationship management.

• 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.

• Journal of Fashion Business
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• v.21 no.2
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• pp.30-44
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• 2017

The purposes of this study were to (a) identify dimensions of relational benefits in the social commerce market, (b) predict the effects of relational benefits on satisfaction, repurchase intention, and word of mouth (WOM) intention, (c) examine the mediating effects of satisfaction, and (d) compare the differences in the effects of relational benefits on satisfaction, repurchase intention, and WOM intention between the two groups of market mavenism. For collecting data, a self-administered questionnaire was undertaken by an online research agency. A total of 490 usable responses were obtained from consumers who have used social commerce sites. The sample included a slightly higher number of females (50.8%) than males and age was ranged from 20 years to 40 years. An exploratory factor analysis generated four factors of relational benefits such as confidence, convenience, special treatment, and information. Multiple regression models showed that confidence, convenience, and special treatment benefits were significant predictors of satisfaction and repurchase intention; the confidence and convenience benefits were significant for WOM intention. Satisfaction significantly mediated the relationship between relational benefits and repurchase intention, and the relationship between relational benefits and WOM intention. The group with high level of market mavenism more highly perceived the relational benefits than the other groups. Confidence benefit had a significant effect on repurchase intention regardless of the level of market mavenism, while convenience benefit had a significant effect on repurchase intention in the non-market maven group. This study discussed the managerial implications for customer relationship management in the social commerce marketplace.

• Journal of Distribution Science
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• v.21 no.1
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• pp.85-93
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• 2023

Purpose: This research is intended to analyze how distribution of brand communication of a Soft Drink brand on brand image mediated through electronic word of mouth on packaged carbonated drink in Indonesian Gen-Z. This research also aims to find out how electronic word of mouth can have a role in creating a brand image for Indonesia Gen-Z. Research design, data and methodology: This research is using a quantitative approach with purposive sampling technique, a survey was conduct online and the number of samples being 384 responders who are spread all over Indonesia. The questionnaire construct was designed based on several variables, such as brand communication, brand image, and e-WOM. E-WOM was positioned as a mediating variable in this research. Brand Communication indicators consist of event and experience, public relation and publicity, direct marketing and personal selling. Meanwhile brand image consists of Attributes, Benefits, and Attitudes. E-WOM indicators consist of intensity, balance of opinion, and content. Results: The result of this research being (1) There is a significant influence between brand communication and brand image. (2) There is a significant influence between brand communication and electronic word-of-mouth. And (3) There is a significant influence between brand communication and brand image mediated through electronic word-of-mouth. Conclusion: The findings of this research prove that there is significant influence between brand communication, brand image and electronic word-of-mouth, this study also provide several information about how other factor affect the distribution of brand communication.