DOI QR코드

DOI QR Code

The Influence of Cultural Orientation on Electronic Word-of-Mouth in Online Communities

온라인커뮤니티에서 문화적 성향이 구전에 미치는 영향

  • Received : 2018.09.03
  • Accepted : 2018.12.21
  • Published : 2018.12.31

Abstract

The importance of eWOM (electronic word-of-mouth) communication through online communities is increasing on a daily basis. This study analyzed how the relationship between eWOM (electronic Word-Of-Mouth) factor and eWOM communication depends on the cultural orientation of users in the online community. The research model was developed based on four cultural orientations of individual affect Social tie and usefulness. The model consists of variables such as social tie and perceived usefulness as predecessors of eWOM, four dimensions of cultural orientation (Horizontal Individualism, Horizontal Collectivism, Vertical Individualism, Vertical Collectivism), and eWOM. The model was tested empirically using the PLS (partial least squares) structure equation model. Survey was conducted for online community users in South Korea. Data was statistically validated whether fits on research model. The study results reveal that Social Tie have a positive effect on Perceived Usefulness. Social Tie and Perceived Usefulness have a positive effect on eWOM. 3 of cultural orientations (HC, VI, VC) have a positive effect on Social Tie. Only one of cultural orientations (HC) have an negative effect on Perceived Usefulness. Especially, horizontal collectivism (HC) shows strong correlation with perceived usefulness, whereas vertical collectivism (VC) shows weak correlation with perceived usefulness andvertical individualism (VI) shows strongly correlation with social tie, whereas horizontal individualism (HI) shows weak correlation with social tie. Based on the study results, customized service strategy could be formulated according to the different vertical styles and various eWOM factors.

Keywords

References

  1. Ahn, T., Ryu, S., and Han, I., The impact of Web quality and playfulness on user acceptance of online retailing, Information & Management, 2007, Vol. 44, No. 3, pp. 263-275. https://doi.org/10.1016/j.im.2006.12.008
  2. Bertrandias, L. and Goldsmith, R.E., Some psychological motivations for fashion opinion leadership and fashion opinion seeking, Journal of fashion marketing and management : an international journal, 2006, Vol. 10, No. 1, pp. 25-40. https://doi.org/10.1108/13612020610651105
  3. Cheung, C.M. and Lee, M.K., What drives consumers to spread electronic word of mouth in online consumer-opinion platforms, Decision Support Systems, 2012, Vol. 53, No. 1, pp. 218-225. https://doi.org/10.1016/j.dss.2012.01.015
  4. Chu, S.-C. and Kim, Y., Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites, International Journal of Advertising, 2011, Vol. 30, No. 1, pp. 47-75. https://doi.org/10.2501/IJA-30-1-047-075
  5. Cosmas, S.C. and Sheth, J.N., Identification of opinion leaders across cultures : An assessment for use in the diffusion of innovations and ideas, Journal of International Business Studies, 1980, Vol. 11, No. 1, pp. 66-72. https://doi.org/10.1057/palgrave.jibs.8490597
  6. Davis, F.D., Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS Quarterly, 1989, Vol. 13, No. 3, pp. 319-340. https://doi.org/10.2307/249008
  7. Eliashberg, J. and Shugan, S.M., Film critics : Influencers or predictors?,The Journal of Marketing, 1997, Vol. 61, No. 2, pp. 68-78. https://doi.org/10.1177/002224299706100205
  8. Faraj, S., von Krogh, G., Monteiro, E., and Lakhani, K.R., Special Section Introduction-Online Community as Space for Knowledge Flows, Information Systems Research, 2016, Vol. 27, No. 4, pp. 668-684. https://doi.org/10.1287/isre.2016.0682
  9. Fong, J. and Burton, S., A cross-cultural comparison of electronic word-of-mouth and country-of-origin effects, Journal of Business Research, 2008, Vol. 61, No. 3, pp. 233-242. https://doi.org/10.1016/j.jbusres.2007.06.015
  10. Hennig-Thurau, T., Gwinner, K.P., Walsh, G., and Gremler, D.D., Electronic word-of-mouth via consumer-opinion platforms : What motivates consumers to articulate themselves on the Internet?, Journal of Interactive Marketing, 2004, Vol. 18, No. 1, pp. 38-52. https://doi.org/10.1002/dir.10073
  11. Jadin, T., Gnambs, T. and Batinic, B., Personality traits and knowledge sharing in online communities, Computers in Human Behavior, 2013, Vol. 29, No. 1, pp. 210-216. https://doi.org/10.1016/j.chb.2012.08.007
  12. Kim, P., The Effect of Cultural Dimension on Consumer's eWOM(electronic word-of-mouth) in Social Network Sites. [The Effect of Cultural Dimension on Consumer's eWOM(electronic word-of-mouth) in Social Network Sites, Korean Journal of Business Administration, 2013, Vol. 26, No. 11, pp. 2831-2849.
  13. Koo, D.-M. and Lee, J.-H., Inter-relationships among dominance, energetic and tense arousal, and pleasure, and differences in their impacts under online vs. offline environment, Computers in Human Behavior, 2011, Vol. 27, No. 5, pp. 1740-1750. https://doi.org/10.1016/j.chb.2011.03.001
  14. Ku, E., Distributed fascinating knowledge over an online travel community, International Journal of Tourism Research, 2014, Vol. 16, No. 1, pp. 33-43. https://doi.org/10.1002/jtr.1895
  15. Lee, J. and Baek, D., The effect of Smartphone Purchasing Determinants on Repurchase Intention, Journal of Society of Korea Industrial and Systems Engineering, 2017, Vol. 40, No. 2, pp. 1-12. https://doi.org/10.11627/jkise.2017.40.2.001
  16. Lee, J., Park, S.Y., Lee, H.S., and Kang, M., The Effects of On-line Community Activities and Relationship Building on Word-of-Mouth and Purchase Behavior, Journal of Distribution Research, 2009, Vol. 14, No. 4, pp. 23-47.
  17. Lee, J., Ryu, J., Lee, S., Oh, H., and Cho, J., The Influence of After-Sales Service Quality on Customer Satisfaction and Loyalty in Mobile Phone, Journal of Society of Korea Industrial and Systems Engineering, 2017, Vol. 40, No. 4, pp. 87-95.
  18. Lee, S., A Study about the Impacts of on-line Community Behaviors and Individual Characteristics on WOM Effects, Korean Management Review, 2008, Vol. 37, No. 4, pp. 957-988.
  19. Li, H. and Liu, Y., Understanding post-adoption behaviors of e-service users in the context of online travel services, Information and Management, 2014, Vol. 51, No. 8, pp. 1043-1052. https://doi.org/10.1016/j.im.2014.07.004
  20. Liao, S.H., Wu, C.C., Widowati, R., and Chen, M.Y., Relationships between brand awareness and online word-of-mouth : an example of online gaming community, International Journal of Web Based Communities, 2012,Vol. 8, No. 2, pp. 177-195. https://doi.org/10.1504/IJWBC.2012.046259
  21. Luo, C., Wu, J., Shi, Y. and Xu, Y., The effects of individualism-collectivism cultural orientation on eWOM information, International Journal of Information Management, 2014, Vol. 34, No. 4, pp. 446-456. https://doi.org/10.1016/j.ijinfomgt.2014.04.001
  22. Ma, J., Hu, Z., and Goclowska, M.A., Cultural orientation in China : Differences across five generations of employees, Social Behavior and Personality : an international journal, 2016, Vol. 44, No. 4, pp. 529-540. https://doi.org/10.2224/sbp.2016.44.4.529
  23. Nelson, M.R. and Shavitt, S., Horizontal and vertical individualism and achievement values : A multimethod examination of Denmark and the United States, Journal of Cross-Cultural Psychology, 2002, Vol. 33, No. 5, pp. 439-458. https://doi.org/10.1177/0022022102033005001
  24. Norman, A.T. and Russell, C.A., The pass-along effect : Investigating word-of-mouth effects on online survey procedures, Journal of Computer-Mediated Communication, 2006, Vol. 11, No. 4, pp. 1085-1103. https://doi.org/10.1111/j.1083-6101.2006.00309.x
  25. Papadopoulos, T., Stamati, T., and Nopparuch, P., Exploring the determinants of knowledge sharing via employee weblogs, International Journal of Information Management, 2013, Vol. 33, No. 1, pp. 133-146. https://doi.org/10.1016/j.ijinfomgt.2012.08.002
  26. Richins, M.L., Negative Word-of-Mouth by Dissatisfied Consumers : A Pilot Study, Journal of Marketing, 1983, Vol. 47, No. 1, pp. 68-78. https://doi.org/10.1177/002224298304700207
  27. Serra Cantallops, A. and Salvi, F., New consumer behavior : A review of research on eWOM and hotels, International Journal of Hospitality Management, 2014, Vol. 36(Supplement C), pp. 41-51. https://doi.org/10.1016/j.ijhm.2013.08.007
  28. Shin, S., Organizational commitment and organizational creativity : The moderating effect of training motivation, Journal of the Korea Academia-Industrial Cooperation Society, 2018, Vol. 19, No. 10, pp. 206-213. https://doi.org/10.5762/KAIS.2018.19.10.206
  29. Sohn, J. and Kim, J., Attributes of Social Networking Services : A Classification and Comparison, Journal of Society of Korea Industrial and Systems Engineering, 2018, Vol. 41, No. 1, pp. 24-38. https://doi.org/10.11627/jkise.2018.41.1.024
  30. Triandis, H.C. and Gelfand, M.J., Converging measurement of horizontal and vertical individualism and collectivism, Journal of Personality and Social Psychology, 1998, Vol. 74, No. 1, pp. 118-128. https://doi.org/10.1037/0022-3514.74.1.118
  31. Triandis, H.C., Chan, D.K.-S., Bhawuk, D.P., Iwao, S., and Sinha, J.B., Multimethod probes of allocentrism and idiocentrism, International Journal of Psychology, 1995, Vol. 30, No. 4, pp. 461-480. https://doi.org/10.1080/00207599508246580
  32. Villanueva, J., Yoo, S., and Hanssens, D. M., The impact of marketing-induced versus word-of-mouth customer acquisition on customer equity growth, Journal of marketing Research, 2008, Vol. 45, No. 1, pp. 48-59. https://doi.org/10.1509/jmkr.45.1.48
  33. Wetzels, M., Odekerken-Schroder, G., and Oppen, C.V., Using PLS Path Modeling for Assessing Hierarchical Construct Models : Guidelines and Empirical Illustration, MIS quarterly, 2009, Vol. 33, No. 1, pp. 177-195. https://doi.org/10.2307/20650284
  34. Yuan, D., Lin, Z., and Zhuo, R., What drives consumer knowledge sharing in online travel communities? : Personal attributes or e-service factors?,Computers in Human Behavior, 2016, Vol. 63, pp. 68-74. https://doi.org/10.1016/j.chb.2016.05.019