The Effects of Negative Electronic Word-of-Mouth and Webcare on Thai Online Consumer Behavior

Authors: Pongsatorn Tantrabundit, Lersak Phothong, Ong-art Chanprasitchai

Abstract:

Due to the emergence of the Internet, it has extended the traditional Word-of-Mouth (WOM) to a new form called “Electronic Word-of-Mouth (eWOM).” Unlike traditional WOM, eWOM is able to present information in various ways by applying different components. Each eWOM component generates different effects on online consumer behavior. This research investigates the effects of Webcare (responding message) from product/ service providers on negative eWOM by applying two types of products (search and experience). The proposed conceptual model was developed based on the combination of the stages in consumer decision-making process, theory of reasoned action (TRA), theory of planned behavior (TPB), the technology acceptance model (TAM), the information integration theory and the elaboration likelihood model. The methodology techniques used in this study included multivariate analysis of variance (MANOVA) and multiple regression analysis. The results suggest that Webcare does slightly increase Thai online consumer’s perceptions on perceived eWOM trustworthiness, information diagnosticity and quality. For negative eWOM, we also found that perceived eWOM Trustworthiness, perceived eWOM diagnosticity and quality have a positive relationship with eWOM influence whereas perceived valence has a negative relationship with eWOM influence in Thai online consumers.

Keywords:

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1340384

References:

[1] X. Wang, “The effect of inconsistent word-of-mouth during the service encounter,” Journal of Services Marketing, Vol. 25, No. 4, pp. 252-259, 2011.
[2] J. C. Sweeney, G. N. Soutar, & T. Mazzarol, “Factors influencing word of mouth effectiveness: receiver perspectives,” European Journal of Marketing, Vol. 42, No. 3/4, pp. 344-364, 2008.
[3] C. Matos & C. Rossi, “Word-of-mouth communications in marketing: a meta-analytic review of the antecedents and moderators,” Journal of the Academy of Marketing Research, Vol. 36, No. 4, pp. 578-596, 2008.
[4] Internet World Statistics. (2017, June 30). World Internet Usage and Population Statistics (online). Available: http://www.Internetworldstats.com/stats.htm
[5] G. Van Noort & L. M. Willemsen, “Online damage control: the effects of proactive versus reactive webcare interventions in consumer-generated an brand-generated platforms,” Journal of Interactive Marketing, Vol.22, No. 3, pp. 131-140, 2012.
[6] L. M. Willemsen, P. C. Neijens, F. Bronner. & J. A. de Ridder, “Highly recommended: the content characteristics and perceived usefulness of online consumer reviews,” Journal of Computer-Mediated Communication, Vol.17, pp. 19-38, 2011.
[7] L. Qiu, J. Pang & K. H. Li, “Effects of conflicting aggregated rating on eWOM review credibility and diagnosticity: The moderating role of review valence,” Decision Support Systems, Vol. 54, No.1, pp. 631-643, 2012.
[8] L. M. Willemsen “Electronic word of mouth: Challenges for consumers and companies,” Doctoral thesis, University of Amsterdam, Amsterdam, Netherlands, 2013.
[9] T. Hennig-Thurau, K. P. Gwinner, G. Walsh & D. D. Gremler, “Electronic word-of-mouth via consumer-opinion platforms: what motivates consumers to articulate themselves on the Internet?” Journal of Interactive Marketing. Vol. 18, no.1, pp. 38-52, 2004.
[10] J. Na, T. T. Thet & S. G. Khoo, “Comparing sentiment expression in movie reviews from four online genres,” Online Information Review, vol. 34, no.2, pp. 317-338, 2010.
[11] A. Ahmed (2013, July 16). Online reviews – the new word-of-mouth. University of Minnesota Extension. Avialable: http://blog.lib.umn.edu/vitality/emarketing-guides/2013/07/online-reviews---the-new-word-of-mouth-the-new-word-of-mouth/
[12] U. Gretzel. & K. H. Yoo, K. H. (2008). “Use and impact of online travel reviews. Information and Communication Technologies in Tourism,” vol. 2, pp. 35-46, 2008.
[13] P. Chatterjee, “Online review: do consumers use them?” Advances in Consumer Research, Vol. 28, pp. 129-134, 2001.
[14] H. S. Bansel. & P. A. Voyer. “Word-of-mouth processes within a service purchase decision context,”.Journal of Service Research, vol. 3, no. 2, pp. 166-177, 2000.
[15] M. Huang, F Cai, A. S. L. Tsang, & N. Zhou, N., “Making your online voice loud: the critical role of WOM information,”.European Journal of Marketing., vol. 45, no. 7/8, pp. 1277-1297, 2011.
[16] C. Chen. & N. H. Lurie, “Temporal contiguity and negativity bias in the impact of online word-of-mouth,” Journal of Marketing Research, vol. 50, no. 4, pp. 463-476, 2013.
[17] T. Zhou. & Y. Lu, “The effects of personality on user acceptance of mobile commerce,” International Journal of Human-Computer Interaction, vol. 27, no. 6, pp. 545-561, 2011.
[18] M. Lee & S. Youn, “Electronic word of mouth (eWOM): How eWOM platforms influence consumer product judgement,” International Journal of Advertising, vol. 28, no.3, pp. 473, 2009.
[19] S. Teng, K. W. Khong, W. W. Goh & A. Y. L. Chong, A. Y. L. “Examining the antecedents of persuasive eWOM message in social media,” Online Information Review, vol. 38, no.6, pp. 746-768, 2014.
[20] R. A. Westbrook, “Product/consumption-based affective responses and postpurchase processes,” Journal of Marketing Research, vol. 24, no.3, pp. 258-70, 1987.
[21] R. D. Blackwell, P. W. Miniard & J. F. Engel, J. F. Consumer Behavior, 9th ed., San Diego, United States: Harcourt College Publishers, 2001.
[22] J. Berger. “Word of mouth and interpersonal communication: A review and direction for future research,” Journal of Consumer Psychology, vol. 24, no. 4, pp. 586-607, 2014.
[23] M. R. Solomon. Consumer Behavior: Buying, Having, and Being, 8th ed, New Jersey, United Stated: Pearson Education, Inc, 2009.
[24] D. F. Duhan, S. D. Johnson, J. B. Wilcox & G. D., Harrell. “Influences on consumer use of word-of-mouth recommendation sources,” Journal of the Academy of Marketing Science, Vol 25, Issue 4, pp. 283-295. 1997.
[25] K. O’Reilly & S. Marx. “How young, technical consumers assess online WOM credibility,” Qualitative Market Research: An International Journal, Vol. 14, Issue 4, pp. 330-359. 2011.
[26] J. Kietzmann. & A. Canhoto. “Bittersweet! Understanding and managing electronic word of mouth. Journal of Public Affairs,” Vol. 13, No. 2, pp. 146-159. 2013.
[27] P. Wu & Y. Wang. “The influences of electronic word-of-mouth message appeal and message source credibility on brand attitude,” Asia Pacific Journal of Marketing and Logistics, Vol. 23, No. 4, pp. 448-472. 2011.
[28] J. Brown, A. Broderick & N. Lee. “Word of mouth communication within online communities: conceptualizing the online social network,” Journal of Interactive Marketing, Vol. 21, No. 3, pp. 2–20. 2007.
[29] N. F. Awad. & A. Ragowsky. “Establishing Trust in Electronic Commerce Through Online Word of Mouth: An Examination Across Genders,” Journal of Management Information Systems, Vol. 24, No. 4, pp. 101-121. 2008.
[30] W. G. Mangold, F. Miller & G. R. Brockway. “Word-of-mouth communication in the service marketplace,” The Journal of Services Marketing, Vol. 13, No. 1, pp. 73-89. 1999.
[31] G. S. Day. “Attitude change, media and word of mouth,” Journal of Advertising Research, Vol. 11, No. 6, pp. 31–40. 1971.
[32] M. Lopez. & M. Sicilia. “Determinants of E-WOM influence: The role of consumers’ Internet experience,” Journal of Theoretical and Applied Electronic Commerce Research. Vol. 9, No. 1. pp. 28-43. 2014.
[33] A. S. L. Tsang. & G. Prendergast. “Is a ‘star’ worth a thousand words?: The interplay between product review texts and rating valences” European Journal of Marketing, Vol. 43, Issue. 11/12, pp. 1269-1280. 2009.
[34] A. S. L. Tsang. & G. Prendergast. “Does culture affect evaluation expressions? A cross-cultural analysis of Chinese and American computer game reviews” European Journal of Marketing, Vol. 43, Issue. 5/6, pp. 686-707. 2009.
[35] J. Eliashberg. & S. M. Shugan. “Film critics: influencers or predictors?” Journal of Marketing, Vol. 61, pp. 68-78. 1997.
[36] S. Basuroy. S. Chatterjee. & S. A. Ravid. “How critical are critical reviews? The box office effects of film critics, star power, and budgets,” Journal of Marketing, Vol. 67, No. 103-117. 2003.
[37] J. A. Chevalier. & D. Mayzlin. “The effect of word of mouth on sales: Online book reviews,” Journal of Marketing Research, Vol. 43, No. 3, 345-354. 2006.
[38] P. M. West. & S. M. Bronizrczyk. “Integrating multiple opinions: the role of aspiration level on consumer response to critic consensus,” Journal of Consumer Research, Vol. 25, pp. 38-51. 1998.
[39] P. A. Pavlou. & A. Dimoka. “The nature and role of feedback text comments in online marketplaces: Implications for trust building, price premiums, and seller differentiation,” Information Systems Research, Vol. 17, No. 4, pp. 392-414. 2006.
[40] Y. Chan. & E. Ngai. “Conceptualizing electronic word of mouth activity: An input-process-output perspective,” Marketing Intelligence & Planning, Vol. 29, No. 5, pp. 488-516. 2011.
[41] N. H. Anderson. Foundation of information integration theory. New York, United States: Academic Press. 1981.
[42] Z. Jiang. & I. Benbasat. “Investigating the Influence of the Functional Mechanisms of Online Product Presentations” Systems Research, Vol. 18, No. 4, pp. 454-470. 2007.
[43] E. Keller. & J. Berry. “Word-of-mouth: The real action is offline,” Advertising Age, Vol. 77, pp. 20. 2006.
[44] M. D. Slater. & D. Rouner. “How message evaluation and source attributes may influence credibility assessment and belief change,” Journalism & Mass Communication Quarterly, Vol. 73, No. 4, pp. 974-991. 1996.
[45] A. D. Gershoff., A. Mukherjee. & A. Mukhopadhyay. “Consumer acceptance of online agent advice: Extremity and positivity effects,” Journal of Consumer Psychology, Vol. 13, No. 1/2, pp. 161-170. 2003.
[46] L. Festinger. “A theory of social comparison processes,” Human Relations, Vol. 7, No. 2, pp. 117–140. 1954.
[47] H. Kelman. “Processes of opinion change,” Public Opinion Quarterly, Vol. 25, pp. 57–78. 1961.
[48] I. Ajzen. & M. Fishein. “The Prediction of Behavioral Intentions in a Choice Situation,” Journal of Experimental Social Psychology, Vol. 5, pp. 400-416. 1969.
[49] I. Ajzen, “The theory of planned behavior,” Organizational Behavior and Human Decision Processes, Vol. 50, pp. 179–211. 1991.
[50] F. D. Davis, F. D. “Perceived usefulness, perceived ease of use, and user acceptance of information technology’” MIS Quarterly, Vol. 13, No. 3, pp. 319-340. 1989.
[51] V. Choudhury. & E. Karahanna. “The relative advantage of electronic channels: A multidimensional view,” MIS Quarterly, Vol. 32, No. 1, pp. 179-200. 2008.
[52] J. M. Feldman. & J. Lynch. “Self-generated validity and other effects of measurement on belief, attitude, intention and behavior,” Journal of Applied Psychology, Vol. 73, No. 3, pp. 421-435. 1998.
[53] J. Roca., J. J. Garcia & J. de la Vaga. “The importance of perceived trust, security and privacy in online trading systems,” International Management & Computer Security, Vol. 17, No. 2, pp. 96-113. 2009.
[54] R. E. Petty. & J. T. Cacioppo. Elaboration Likelihood Model, San Diego, CA, United States: Academic press. 1996.
[55] D. H. Park. & S. Kim. “The effect of consumer knowledge on message processing of electronic word-of-mouth via online consumer reviews,” Electronic Commerce Research and Applications, Vol. 7, No. 4, pp. 399-410. 2009.
[56] S. Mishra. U. N. Umesh. & D. E. Stem. “Antecedents of the attraction effect: An information-processing approach,” Journal of Marketing Research, Vol. 30, No. 3, pp. 331–349. 1993.