바로가기메뉴

본문 바로가기 주메뉴 바로가기

ACOMS+ 및 학술지 리포지터리 설명회

  • 한국과학기술정보연구원(KISTI) 서울분원 대회의실(별관 3층)
  • 2024년 07월 03일(수) 13:30
 

logo

The Effect of eWOM Information Characteristics and Brand Community Experience Value on Brand Trust, Conversion

The Effect of eWOM Information Characteristics and Brand Community Experience Value on Brand Trust, Conversion

The Journal of Industrial Distribution & Business(JIDB) / The Journal of Industrial Distribution & Business, (E)2233-5382
2022, v.13 no.4, pp.35-49
https://doi.org/https://doi.org/10.13106/jidb.2022.vol13.no4.35
HAN, Sang-Seol (Graduate School of Business Administration, Dankook University)

Abstract

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.

keywords
eWOM, Brand Community, Experience Value, Brand Trust, Online Conversion

참고문헌

1.

Andrea, W. L., & Joann, P., William, H., & Yixiang, X.(2022). Observing Product Touch: The Vicarious Haptic Effect in Digital Marketing and Virtual Reality, Journal of Marketing Research, 59(2), 306-326.

2.

Andersen, P. H. (2005). Relationship Marketing and Brand Involvement of Professionals Through Web-enhanced Brand Communities: The Case of Coloplast, Industrial Marketing Management, 34(1), 39-51.

3.

Andrews, L., Geoffrey, K., Drenna, J., Boyle, M. V., &Weerawardena, J. (2007). Gendered Perception of Experiential Value in Using Web-Based Retail Channels, European Journal of Marketing, 41(5/6), 640-658.

4.

Armstrong, A. G., & Hagel, J. (1996). The Real Value of Online Communities, Harvard Business Review, May, 134-141.

5.

Bickart, B. & Schindler, R. M. (2002). Expanding the Scope of Word of Mouth : Consumer-to-Consumer Information on the Internet, Advances in Consumer Research, 29, 428-430.

6.

Bussiere, D. (2009). Evidence and Implications of Electronic Word-of-Mouth, Advances in Consumer Research, 23, 399-404.

7.

Chatterjee, P. (2001). Online Review: Do Consumers Use Them ?, Advances in Consumer Research, 28, 129-133.

8.

Chaudhuri, A., & Holbrook, M. B. (2001). The Chain of Effects from Brand Trust and Brand Affect to Brand Performance, Journal of Marketing, 65(2), 81-93.

9.

Cheung, M. K., & Thadani, D. R. (2012). The Impact of Electronic Word of Mouth in Online Consumer Opinion Platforms, Decision Support Systems, 53, 218-225.

10.

Daugherty, T., Hairrong, L., & Frank, B. (2002). Experiential Ecommerce: A Summary of Research Investigating the Impact of Virtual Experience on Consumer Learning, Working Paper, Owen Graduate School of Managment, Vanderbilt University.

11.

David, W., Victoria, C., & Amy, H. (2022). Third-party Procedural Justice Perceptions: The Mediating Effect on the Relationship Between eWOM and Likelihood to Purchase, Joural of Marketing Theory and Practice, 30(1), 86-107.

12.

Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology, MIS Quarterly, 13(3), 319-340.

13.

Dellarocas, C. (2003). The Digitization of Word of Mouth-Promise and Challenges of Online Feedback Mechanisms, Management Science, 49(10), 1407-1424.

14.

Doney, P. M., & Cannon, J. P. (1997). An Examination of The Nature of Trust in Buyer-Seller Relationships”, Journal of Marketing, 61, 35-51.

15.

Goh, K. Y., Heng, C. S., & Lin, Z. (2013). Social Media Brand Community and Consumer Behavior:Quantifying the Relative Impact of User and Marketer Generated Content, Information Systems Research, 24(1), 88-107.

16.

Gyu, B. C., Ha H. D., & Ho H. (2016). The Effects of Usefulness and Credibility of Word of Mouth Information on Purchase Intention in Social Commerce : Focused on The Mediating Roles of Perceived Risk and Impulse Buying, Journal of Korea Service Management Society, 17(4), 89-106.

17.

Habibi, M. R., Laroche, M., & Richard, M. O. (2014). International Brand Communities Based in Social Media: How Unique are They ? Evidence from Two Exemplary Brand Communities, Journal of Information Management, 34, 123-132.

18.

Hennig, T. T., & Walsh, G. (2003). Electronic Word-of Mouth Motives for and Consequence of Reading Customer Articulations on The Internet, International Journal of Electronic Commerce, 8(2), 51-74.

19.

Jarvenpaa, S. L., Tractinsky, N., & Vitale, M. (2000). Consumer Trust in an Internet Store, Information Technology and Management, 1(1), 47-71.

20.

Kang, G. W., Park, S. Y., & Ko, J. Y. (2017). A Study on The Impacts of eWOM Information Characteristics on Perceived Risk, Perceived Benefit and WOM Effect in Wine Industry, Korean Journal of Hospitality & Tourism, 26(2), 99-117.

21.

Kang, I. W., & Son, J. Y. (2017). The Effect of Brand Community Quality on Users Switching Intention Focusing on Brand Community of Social Media, The e-Business Studies, 18(6), 93-110.

22.

Keng, C. J., Huang, T. L., Zheng, L .J., & Hsu, M. K., Modeling Service Encounters and Customer Experiential Value in Retailing, International Journal of Service Industry Management, 18(4), 349-367.

23.

Kim, S. J. (2008). The Influence of Online Experiential Value on Affect and Trust and Re-visit, Intention, International Commerce and Information Review, 10(1), 117-135.

24.

Laroche, M., Habibi, M. R., Richard, M. O., & San K. R. (2012). The Effects of Social Media Based Brand Communities on Brand Community Markers, Value Creation Practices, Brand Trust and Brand Loyalty, Computers in Human Behavior 28(5), 1755-1767.

25.

Lee, E. Y., & Lee, T. M. (2005). The Effects of Information Characteristics on Word of Mouth Performance in Online Environment : Focused on The Moderating Effect of Consumer Knowledge, The Korean Journal of Advertising, 16(2), 145-171.

26.

Litvin, S. W., Goldsmith, R. E., & Pan, B. (2008). Electronic Word of Mouth in Hospitality and Tourism Management, Tourism Management, 29(3), 458-468.

27.

Mathwick, C., Naresh, Malhotra, K., & Edward, R. (2001). Experiential Value: Conceptualization, Measurement and Application in The Catalog and Internet Shopping Enviomment, Journal of Retailing, 77, 39-56.

28.

McKnight, D. H., Vivek, C., & Charles, K. (2002). Developing and Validating Trust Measures, for Commerce, Information Systems Research, 13(3), 334-359.

29.

Mohammed, R. A., Robert, J., Fisher, B. J., & Aileen, M. C. (2002). Internet Marketing: Building Advantage in Networked Economy, Boston, MA: McGraw-Hill/Irwin.

30.

Muniz, A. M., & O'guinn, T. C. (2001). Brand Community, Journal of Consumer Research, 27(4), 412-432.

31.

Sicilia, M., & Palazón, M. (2008). Brand Communities on The Internet : A Case Study of Coca-Cola's Spanish Virtual Community Corporate Communications, An International Journal, 13(3), 255-270.

32.

Terry, D., & Ernest, H. (2014). eWOM and The Importance of Capturing Consumer Attention Within Social Media, Journal of Marketing Communications, 20(1-2), 82-102.

33.

Tonkin, S., Whitmore, C. & Jutroni, J. (2010). Performance Marketing with Google Analytics: Strategies and Techniques for Maximizing Online ROI, New York, NY: John Wiley & Sons, Inc.

34.

Vivek, S. D., Beatty, S. E., & Morgan, R. M. (2014). Generalized Multidimensional Scale for Measuring Customer Engagement, Journal of Marketing Theory and Practice, 22(4), 401-420.

35.

Yang S. M., & Kim H. G. (2018). Analysis of Differences in Usefulness of Information and Intention of Purchase According to The Direction of Online Word-of-Mouth Information: Focusing on Involvement, The Journal of Internet Electronic Commerce Resarch, 18(1), 133-156.

36.

Zaglia, M. E. (2013). Brand Communities Embedded in Social Networks. Journal of Business Research, 66, 216-223.

37.

Zelia, R. S., Christy, M. K. C., Pedro, S. C., & Paulo, R. (2022). Consumer Engagement in Social Media Brand Communities: A Literature Review, International Journal of Information Management, 63, 1-38

The Journal of Industrial Distribution & Business(JIDB)