FACEBOOK EWOM MARKETING STRATEGY: A SOCIAL SUPPORT THEORY PERSPECTIVE
DOI:
https://doi.org/10.20319/pijss.2020.61.501511Keywords:
E-Word of Mouth, Social Exchange Theory, Social Support Theory, Facebook, Social MediaAbstract
Today, social media is a major communication medium for online users. Along the use of social media, electronic word-of-mouth (EWOM) is a common user behavior. To understating the Facebook marketing and form marketing strategy has become an increasingly important issue. Facebook ranks at top one social medium where the posts on food and dining ranks at top 5 topics. To understand the EWOM behavior, this study investigates that positive and negative EWOM over Facebook. Both social exchange theory and social support theory are applied in our study. The results suggest that trust and social support are the major reason that influence customer satisfaction and dissatisfaction of Facebook, which in turn influence the positive and negative EWOM intention respectively. The theoretical contribution of our study lies in the application of two social theories in online context. The empirical contribution is to provide our findings to e-retailers to create positive EWOM meanwhile to avoid negative EWOM. The results of our study benefits e-retailers to build up positive reputations and form marketing strategy for business growth.
References
Abubakar A. M., & Ilkan M. (2016). Impact of online WOM on destination trust and intention to travel: A medical tourism perspective. J. Destination Mark. Manage. 5 192–201. https://doi.org/10.1016/j.jdmm.2015.12.005
Aryee, S., Walumbwa, F. O., Mondejar, R., & Chu, C. (2015). Accounting for the influence of overall justice on job performance: Integrating self‐determination and social exchange theories. Journal of Management Studies, 52(2), pp. 231-252. https://doi.org/10.1111/joms.12067
Chen, M. Y., & Teng, C. I. (2013). A comprehensive model of the effects of online store image on purchase intention in an e-commerce environment. Electronic Commerce Research, 13(1), pp. 1-23. https://doi.org/10.1007/s10660-013-9104-5
Cobb, S. (1976). Social support as a moderator of life stress. Psychosomatic medicine, 38(5), pp. 300-314. https://doi.org/10.1097/00006842-197609000-00003
Constine, J. (2017, June 27). Facebook now has 2 billion monthly users… and responsibility. Retrieved from https://techcrunch.com/2017/06/27/facebook-2-billion-users/
Costa, P. T., & McCrae, R. R. (1985). The NEO personality inventory manual. Odessa, FL: Psychological Assessment Resources. https://doi.org/10.1037/t07564-000
Davenport, T. H., & Prusak, L. (1998). Working Knowledge: How Organizations Manage What They Know. Boston: Harvard Business School Press.
DeConinck, J. B. (2010). The effect of organizational justice, perceived organizational support, and perceived supervisor support on marketing employees' level of trust. Journal of Business Research, 63(12), pp. 1349-1355. https://doi.org/10.1016/j.jbusres.2010.01.003
Djordjevic, N. (2020). 26 Mind-Boggling Online Review Statistics & Facts for 2020, Website builder, available at: https://websitebuilder.org/online-review-statistics/
Fehr, E., & Gachter, S. (2000). Fairness and retaliation: the economics of reciprocity. Journal of Economic Perspectives, 14(3), pp. 159-181. https://doi.org/10.1257/jep.14.3.159
Homans, G. C. (1958). Social behavior as exchange. American journal of sociology, 63(6), pp. 597-606. https://doi.org/10.1086/222355
House, J. S. (1981).Work Stress and Social Support. Reading, MA: Addison-Wesley.
Lakhani, K. R., & Von Hippel, E. (2003). How open source software works: ‘free’ user-to-user. Research Policy, 32(6), pp. 923-943. https://doi.org/10.1016/S0048-7333(02)00095-1
Liang, P. T., Ho, Y. T., & Turban, E. (2011). What drives social commerce: The role of social support and relationship quality. International Journal of Electronic Commerce, 16(2), pp. 69-90. https://doi.org/10.2753/JEC1086-4415160204
Lin, X., Zhang, D., & Li, Y. (2016).Delineating the dimensions of social support on social networking sites and their effects: A comparative model. Computers in Human Behavior, 58, 421-430. https://doi.org/10.1016/j.chb.2016.01.017
Liu, L., Cheung, C. M., & Lee, M. K. (2016). An empirical investigation of information sharing behavior on social commerce sites. International Journal of Information Management, 36(5), pp. 686-699. https://doi.org/10.1016/j.ijinfomgt.2016.03.013
Marett, K., & Joshi, K. (2009). The decision to share information and rumors: Examining the role of motivation in an online discussion forum. Communications the Association for Information Systems, 24(1), pp. 47-68. https://doi.org/10.17705/1CAIS.02404
Maslow, A. H. (1954). Motivation and Personality. New York: Harper and Brothers. https://doi.org/10.1111/j.1467-6494.1954.tb01136.x
Mulki, J. P., & Wilkinson, J. W. (2017). Customer-directed extra-role performance and emotional understanding: Effects on customer conflict, felt stress, job performance and turnover intentions. Australasian Marketing Journal (AMJ), 25(3), pp. 206-214. https://doi.org/10.1016/j.ausmj.2017.04.002
Perugini, M., Gallucci, M., Presaghi, F. & Ercola, A. P. (2003). The personal norm of reciprocity. European Journal of Personality, 17(4), pp. 251-283. https://doi.org/10.1002/per.474
Review trackers (2018).2018 ReviewTrackers Online Reviews Survey available at: https://www.reviewtrackers.com/reports/online-reviews-survey/
Salam, A., Rao, R., &Pegels, C. (1998). An investigation of consumer-perceived risk on electronic commerce transactions: The role of institutional trust and economic incentive in a social exchange framework. AMCIS 1998 Proceedings, pp. 114.
Schaefer, C., Coyne, J. C., & Lazarus, R. S. (1981). The health-related functions of social support. Journal of behavioral medicine, 4(4), pp. 381-406. https://doi.org/10.1007/BF00846149
Sherbourne, C. D., & Stewart, A. L. (1991). The MOS social support survey. Social Science & Medicine, 32(6), 705-714. https://doi.org/10.1016/0277-9536(91)90150-B
Shiau, W. L., & Luo, M. M. (2012). Factors affecting online group buying intention and satisfaction: A social exchange theory perspective. Computers in Human Behavior, 28(6), pp. 2431-2444. https://doi.org/10.1016/j.chb.2012.07.030
Sweeney, J. C., Soutar, G. N., & Mazzarol, T. (2008). Factors influencing word of mouth effectiveness: receiver perspectives. European Journal of Marketing, 42(3/4), 344-364. https://doi.org/10.1108/03090560810852977
Tsai, M. T., & Cheng, N. C. (2012). Understanding knowledge sharing between IT professionals–integration of social cognitive and social exchange theory. Behaviour& Information Technology, 31(11), pp. 1069-1080. https://doi.org/10.1080/0144929X.2010.550320
Waldman, A. E. (2016). Privacy, Sharing, and Trust: The Facebook Study. Case Western Reserve Law Review, 67(1), pp. 193-233.
Wasko, M. M., & Faraj, S. (2005). Why should I share? Examining social capital and knowledge contribution in electronic networks of practice. MIS Quarterly, 29(1), pp. 35-57. https://doi.org/10.2307/25148667
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Copyright (c) 2021 Margaret Meiling Luo, Min Wen Chen, Sophea Chea
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