• The Journal of the Korea Contents Association
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• v.16 no.6
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• pp.662-670
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• 2016

This study notices that corporate crisis spreading throughout society through SNS, according to the growing influence of online e-WOM on the basis Mobile and SNS. The study will prove that users' psychological tendencies can be affected by online e-WOM and played a role factors of crisis management on Facebook fanpage. This study conducted Facebook Fanpages users' perception of authenticity, Fanpage identification theory and interactivity affected Online e-WOM before a crisis, and authenticity, Fanpage identification theory and interactivity affected negative Online e-WOM after a crisis. The result through the sample of 290 men and women in their 20s and 30s who use a Facebook fanpage. found that Facebook fanpage users' perception of authenticity, Fanpage identification theory and interactivity affect on Online e-WOM before a crisis. On the other hand, the results found that Facebook fanpage users' perception of authenticity, and interactivity affect on Online e-WOM in caused crisis. Based on the results from the present study, suggested authenticity, Fanpage identification theory and Interactivity function in the aspect of the relationship marketing or crisis communication.

• Journal of Intelligence and Information Systems
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• v.18 no.2
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• pp.85-105
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• 2012

In recent years, IT advancement has brought out the new Internet communication environment such as online social network services, where people are connected in global network without temporal and spatial limitation. The popular use of online social network helps people share their experience and preference for specific products and services, thus holding large potential to significantly affect firms' business performance through Word-of-Mouth (WOM). This study examines the role of online social network in raising WOM effect on the movie industry by comparing with the similar role of Internet portal, another major online communication channel. Analyzing 109 movies and data from both Twitter and Naver movie, we found that significant WOM effect exists simultaneously in both Twitter and Naver movie. However, we also found that different figures of online viral effects exist depending on the popularity of movies. In the hit movie group, before the movie release, the WOM effect occurs only in Twitter while the WOM effect arises in both Twitter and Naver movie at the same time after the movie release. In the less-popular (or niche) movie group, the WOM effect occurs in both Twitter and Naver movie only before the movie release. Our findings not only deepen theoretical insights into different roles of the two online communication channels in provoking the WOM effect on entertainment products but also provide practitioners with incentive to utilize SNS as strategic marketing platform to enhance their brand reputations.

• Journal of Digital Convergence
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• v.16 no.11
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• pp.281-288
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• 2018

The current study examined the moderating effect of visual cues in eWOM on the relationship between perceived risk and purchase intention. Specifically, the study tested the different directions of the moderating effect in positive and negative eWOM. Two studies from a 2 (perceived risk: high vs. low) by 2 (visual cue: presence vs. absence) experimental design were used with online subjects. Findings from study 1 (n=123) supported that visual cues in positive eWOM help to reduce the negative effect of perceived risk on purchase intention. However, study 2 (n=122) showed that visual cues in negative eWOM intensify the negative effect of perceived risk on purchase intention. The findings demonstrated that visual cues in eWOM influence consumers' decision under high risk conditions. We discussed findings of this study how visual cues in positive and negative eWOM can be strategically managed for new online sellers.

• Journal of Intelligence and Information Systems
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• v.20 no.1
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• pp.49-65
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• 2014

Word of Mouth (WOM) is a behavior used by consumers to transfer or communicate their product or service experience to other consumers. Due to the popularity of social media such as Facebook, Twitter, blogs, and online communities, electronic WOM (e-WOM) has become important to the success of products or services. As a result, most enterprises pay close attention to e-WOM for their products or services. This is especially important for movies, as these are experiential products. This paper aims to identify the network factors of an online movie community that impact box office revenue using social network analysis. In addition to traditional WOM factors (volume and valence of WOM), network centrality measures of the online community are included as influential factors in box office revenue. Based on previous research results, we develop five hypotheses on the relationships between potential influential factors (WOM volume, WOM valence, degree centrality, betweenness centrality, closeness centrality) and box office revenue. The first hypothesis is that the accumulated volume of WOM in online product communities is positively related to the total revenue of movies. The second hypothesis is that the accumulated valence of WOM in online product communities is positively related to the total revenue of movies. The third hypothesis is that the average of degree centralities of reviewers in online product communities is positively related to the total revenue of movies. The fourth hypothesis is that the average of betweenness centralities of reviewers in online product communities is positively related to the total revenue of movies. The fifth hypothesis is that the average of betweenness centralities of reviewers in online product communities is positively related to the total revenue of movies. To verify our research model, we collect movie review data from the Internet Movie Database (IMDb), which is a representative online movie community, and movie revenue data from the Box-Office-Mojo website. The movies in this analysis include weekly top-10 movies from September 1, 2012, to September 1, 2013, with in total. We collect movie metadata such as screening periods and user ratings; and community data in IMDb including reviewer identification, review content, review times, responder identification, reply content, reply times, and reply relationships. For the same period, the revenue data from Box-Office-Mojo is collected on a weekly basis. Movie community networks are constructed based on reply relationships between reviewers. Using a social network analysis tool, NodeXL, we calculate the averages of three centralities including degree, betweenness, and closeness centrality for each movie. Correlation analysis of focal variables and the dependent variable (final revenue) shows that three centrality measures are highly correlated, prompting us to perform multiple regressions separately with each centrality measure. Consistent with previous research results, our regression analysis results show that the volume and valence of WOM are positively related to the final box office revenue of movies. Moreover, the averages of betweenness centralities from initial community networks impact the final movie revenues. However, both of the averages of degree centralities and closeness centralities do not influence final movie performance. Based on the regression results, three hypotheses, 1, 2, and 4, are accepted, and two hypotheses, 3 and 5, are rejected. This study tries to link the network structure of e-WOM on online product communities with the product's performance. Based on the analysis of a real online movie community, the results show that online community network structures can work as a predictor of movie performance. The results show that the betweenness centralities of the reviewer community are critical for the prediction of movie performance. However, degree centralities and closeness centralities do not influence movie performance. As future research topics, similar analyses are required for other product categories such as electronic goods and online content to generalize the study results.

• Journal of Digital Convergence
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• v.16 no.3
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• pp.145-156
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• 2018

Unlike the past, when distributors distributed games through retail stores, they are now selling digital content, which is based on online distribution channels. This study analyzes the effects of eWOM (electronic Word of Mouth) on sales volume of game sold on Steam, an online digital content distribution channel. Recently, data mining techniques based on Big Data have been studied. In this study, emotion index of eWOM is derived by emotional analysis which is a text mining technique that can analyze the emotion of each review among factors of eWOM. Emotional analysis utilizes Naive Bayes and SVM classifier and calculates the emotion index through the SVM classifier with high accuracy. Regression analysis is performed on the dependent variable, sales variation, using the emotion index, the number of reviews of each game, the size of eWOM, and the user score of each game, which is a rating of eWOM. Regression analysis revealed that the size of the independent variable eWOM and the emotion index of the eWOM were influential on the dependent variable, sales variation. This study suggests the factors of eWOM that affect the sales volume when Korean game companies enter overseas markets based on steam.

• Journal of Distribution Science
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• v.20 no.11
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• pp.61-69
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• 2022

Purpose: Technological developments make the business competition even tighter. Digitalization makes it easier for business people in their efforts to encourage the formation of consumer buying behavior because of the availability of effective and efficient means of delivering information to be used to make purchasing decisions. The purpose of this study was to determine the effect of E-Wom and Website Attractiveness on E-Trust and Purchase Decision of online sales on Instagram with innovation acting as a moderating variable. Research design, data and methodology: This research sample is 170 Instagram users who have made online purchases from the local fashion brand. This research is quantitative explanative with data collection using questionnaires and analysis techniques using the Structural Equation Modeling (SEM) approach using AMOS. Results: The results showed that E-wom had a significant positive effect on Purchase decisions. Web Attractiveness has no significant effect on Purchase Decision. Ewom has a significant positive effect on E-trust. Web Attractiveness has a significant positive effect on E-trust. E-Trust has no significant effect on purchase decisions. Conclusions: Innovation can moderate the effect of E-trust on Purchase decisions. Purchase Decisions can be influenced by E-wom and E-trust, but not Web Attractiveness.

• Journal of Contemporary Eastern Asia
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• v.13 no.2
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• pp.3-14
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• 2014

Online communities are an important source of electronic-word-of-mouth (eWOM), however few studies have examined these types of messages within the Middle Eastern context. This study focuses on Kuwaiti women as members of an online beauty forum; previous work has suggested a mediating effect of gender with women being more likely to trust and follow-up word-of-mouth with a purchase. A conceptual model, based on existing theoretical contributions, provides the basis of a coding framework for the message characteristics that influence members' eWOM adoption. A sub-set of the analysis is presented: 218 threads (1820 messages, coded into 6702 units) illustrating cases where eWOM was adopted and thereby demonstrating continuance intention with members returning to the forum. Content analysis revealed the prevalence of emotional aspects in messages, coded into a new category of 'community bonding'. Findings show that emotion expressed in messages is as influential and important as cognitive aspects of argument quality.

• Journal of the Korean Society of Costume
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• v.63 no.8
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• pp.156-170
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• 2013

The purpose of this research is to scrutinize the cyclist's consumer behavior by analyzing the eWOM information search behavior of cycle-wear according to benefits sought and involvement. The research was conducted through an online survey and the respondents were 291 men who wore cycle-wear and searched information via online. The results of this research are as following. First, the benefits sought from wearing cycle apparel are composed of five sub-factors such as, ideal body figure, brand ostentation, comfort ease, personality, and economic feasibility. In addition, the cycle-wear involvement consisted of two sub-factors: cycling involvement and fashion involvement. Second, the eWOM information search behavior of cyclists was different depending on the benefits sought by the cyclists. When the cyclists pursued ideal body figure they searched more information of design and color, while cyclists put more weight on the information of design, color, and brand when they sought brand ostentation. Moreover, the valence and the type of the information were dissimilar depending on the benefits sought. Third, the sub-factors of eWOM information search behavior affected the eWOM effect distinctively. The price information was the only factor that influenced the eWOM effect among the contents of the information. The valence of the information influenced the eWOM effect, and the effect of positive information was stronger than negative information. Additionally, the subjective information also affected the eWOM effect. Lastly, the effect of the benefits sought influencing the eWOM information search behavior varied by the difference of the cycle-wear involvement. For example, when they are both high in the involvement there were various benefits sought affecting the eWOM information search behavior. However, when only the cycling involvement was high, and they pursued personality, the price information was not important to them.

• Journal of Information Technology Applications and Management
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• v.20 no.3
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• pp.79-92
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• 2013

Word-of-mouths (WOMs) are now an important information source for purchase decision. Due to the advance in internet technology, people now can share online their consumption experience, both positive and negative, to others. The WOMs may diffuse to not only their friends but also enormous online users. When consumers dissatisfy the product or service, they may share the dissatisfactory experience to others as WOM, which may bring out discussions for the product or service. The discussions on the negative WOM may help to communicate the negative information to enormous others, which may damage the sale of the product or service. The diffusion and life cycle of negative WOM is an important issue for managers. However, few studies focus on it. Thus, the current study focuses on the discussion pattern and life cycle of negative WOMs by observing the 782 discussion articles in a large online community.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.1339-1347
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• 2021

Indonesia has a population of more than 260 million, of which, by 2020, Generation Y is predicted to account for 70% of the total. With different birth years, Generation Y is the backbone of Indonesia's product purchasing. Generation Y is interested in establishing strong relationships with specific brands on social media. They are also interested in working with companies to design a product. Most Generation Y utilizes more than one electronic device and they are also brand loyal. Therefore, this study seeks to examine the effect of social media (i.e., e-WOM, online community, and online advertising) on brand image and loyalty in Generation Y in Indonesia. The sampling method employed was purposive sampling. A total of 150 respondents in the age range of 23-30 years were involved as the sample. Using multiple regression model in data analysis, this study proved that e-WOM, not only have a positive and significant effect on the brand image, but also on brand loyalty. Furthermore, online community also positively and significantly affects brand image and brand loyalty. Likewise, online advertising has a positive and significant effect on brand image and brand loyalty. This study's findings indicated that all the proposed hypotheses were well accepted.