The Effect of Electronic Word of Mouth (eWOM) Engagement Toward Purchasing Intention of Beauty and Grooming Products : A Case of LINE Mobile Application in Thailand
DOI:
https://doi.org/10.14456/rcmrj.2021.247218Keywords:
eWOM engagement, User interaction, Technology acceptance model, Electronic word of mouthAbstract
This research investigates the role of user and system characteristics in electronic word of mouth (eWOM) engagement and purchase intention for beauty and grooming products. The research uses a case study of LINE, a social network which has an active community of beauty and grooming product users and interest groups. A survey of Thai LINE users who are members of cosmetic and grooming communities on LINE was conducted. The analysis included descriptive statistics, structural equation modelling (SEM) and moderation analysis. The results showed that user characteristics including user preference, user similarity, user interaction and user concern for others, influenced eWOM engagement, with the strongest effect from user similarity (homophily). System characteristics of perceived ease of use and perceived usefulness were also significant for eWOM engagement, having a stronger effect than user characteristics. eWOM engagement had a significant effect on purchase intention for reviewed products (B = .380). Moderation effects were also observed for age, education level, and income level. The findings are significant because they integrate both system and user factors in eWOM engagement and examine demographic effects for users, which are increasingly important as online use of eWOM spreads in Thailand and it becomes a more frequent source of consumer information.
References
Anderson, D. R., Sweeney, D. J., & Williams, T. A. (2018). Essentials of statistics for business and economics. Cengage Learning.
Azzara, C. V. (2010). Questionnaire design for business research. London: Tate Publishing.
Babić Rosario, A., Sotgiu, F., De Valck, K., & H.A. Bijimolt, T. (2016). The effect of electronic word of mouth on sales: A meta-analytic review of platform, product and metric factors. Journal of Marketing Research, 53(3), 297–318. DOI:10.1509/jmr.14.0380
Blackwell, R. D., Miniard, P. W., & Engel, J. F. (2005). Consumer behavior. Cincinnati, OH: South-Western College Publishing.
Boo, S., & Kim, J. (2013). Comparison of Negative eWOM Intention: An Exploratory Study. Journal of Quality Assurance in Hospitality and Tourism, 14(1), 24–48. DOI: 10.1080/1528008X.2013.749381
Bronner, F., & de Hoog, R. (2011). Vacationers and eWOM: Who posts, and why, where, and what?. Journal of Travel Research, 50(1), 15–26. DOI:10.1177/0047287509355324
Brown, T. A. (2015). Confirmatory factor analysis for applied research. New York: The Guilford Press.
Bryman, A., & Bell, E. (2015). Business research methods. Oxford: Oxford University Press.
Byrne, B. M. (2016). Structural equation modeling with AMOS: Basic concepts, applications and programming. 3rd (ed.). London: Routledge. DOI:10.4324/9781410600219
Chaffey, D., & Ellis-Chadwick, F. (2019). Digital marketing: strategy, implementation and practice. (7thed.). London: Sage.
Chen, H. Y., & Boore, J. R. P. (2010). Translation and back-translation in qualitative nursing research: Methodological review. Journal of Clinical Nursing, 19(1–2), 234–239. DOI: 10.1111/j.1365-2702.2009.02896.x
Cheung, C. M. K., & Lee, M. K. O. (2012). What drives consumers to spread electronic word of mouth in online consumer-opinion platforms. Decision Support Systems. Elsevier B.V., 53(1), 218–225. DOI:10.1016/j.dss.2012.01.015
Elwalda, A., Lü, K., & Ali, M. (2016). Perceived derived attributes of online customer reviews. Computers in Human Behavior, 56(0), 306–319. DOI:10.1016/j.chb.2015.11.051
Engel, J. F., Blackwell, R. D., & Miniard, P. W. (1986). Consumer behavior. (5thed.). Hinsdale, IL: Dryden.
Engelbertink, A., & van Hullebusch, S. (2013). The effects of education and income on consumers’ motivation to read online hotel reviews. Research in Hospitality Management, 2(1–2), 57–61. DOI:10.1080/22243534.2013.11828292
Gottschalk, S. A., & Mafael, A. (2017). Cutting through the online review jungle—Investigating selective eWOM processing. Journal of Interactive Marketing, 37, 89–104. DOI:10.1016/j.intmar.2016.06.001
Gvili, Y., & Levy, S. (2018). Consumer engagement with eWOM on social media: the role of social capital. Online Information Review, 42(4), 482-505. DOI:10.1108/OIR-05-2017-0158
Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications.
Hennig-Thurau, T., Gwinner, K.P., Walsh, G., & Gremler, D.D. (2004). Electronic Word-of-Mouth via Consumer-Opinion Platforms: What Motivates Consumers to Articulate Themselves on the Internet. Journal of Interactive Marketing, 18, 38-52. DOI:10.1002/dir.10073
Ismagilova, E., Slade, E., Rana, N. P., & Dwivedi, Y. K. (2019). The effect of characteristics of source credibility on consumer behaviour: A meta-analysis. Journal of Retailing and Consumer Services, 53, 1-40. DOI:10.1016/j.jretconser.2019.01.005
Khammash, M., & Griffiths, G. H. (2011). Arrivederci CIAO.com, Buongiorno Bing.com' - Electronic word-of-mouth (eWOM), antecedences and consequences. International Journal of Information Management, 31(1), 82-87. DOI:10.1016/j.ijinfomgt.2010.10.005
Kudeshia, C., & Kumar, A. (2017). Social eWOM: does it affect the brand attitude and purchase intention of brands?. Management Research Review, 40(3), 310-330. DOI:10.1108/MRR-07-2015-0161
Litvin, S. W., Goldsmith, R. E., & Pan, B. (2008). Electronic word-of-mounth in hospitality and tourism management. Tourism Management, 29(3), 458-468. DOI:10.1016/j.tourman.2007.05.011
Mao, Z., & Lyu, J. (2017). Why travelers use Airbnb again?: An integrative approach to understanding travelers’ repurchase intention. International Journal of Contemporary Hospitality Management, 29(9), 2464–2482. DOI:10.1108/IJCHM-08-2016-0439
Saleem, A., & Ellahi, A. (2017). Influence of electronic word of mouth on purchase intention of fashion products in social networking websites. Pakistan Journal of Commerce and Social Sciences (PJCSS), 11(2), 597-622. http://www.jespk.net/publications/384.pdf
Schumacker, R. E., & Lomax, R. G. (2010). A beginner's guide to structural equation modeling. (3rded.). Routledge/Taylor & Francis Group.
Subedi, D. (2016). Explanatory Sequential Mixed Method Design as the Third Research Community of Knowledge Claim. American Journal of Educational Research, 4(7), 570-577. DOI:10.12691/education-4-7-10
Tuten, T.L., & Solomon, M.R. (2016). Social Media Marketing. New Delhi, India: Sage Texts.
Westland, J.C. (2010). Lower bounds on sample size in structural equation modeling. Electronic Commerce Research and Applications, 9(6), 476-487. DOI:10.1016/j.elerap.2010.07.003
Yang, K. (2012). Consumer technology traits in determining mobile shopping adoption: An application of the extended theory of planned behavior. Journal of Retailing and Consumer Services, 19(5), 484–491. DOI:10.1016/j.jretconser.2012.06.003
Yusuf, A.S., Che Hussin, A.R., & Busalim, A.H. (2018). Influence of e-WOM engagement on consumer purchase intention in social commerce. Journal of Services Marketing, 32 (4), 493-504. DOI:10.1108/JSM-01-2017-0031
Zhang, T.(C)., Abound Omran, B., & Cobanoglu, C. (2017). Generation Y’s positive and negative eWOM: use of social media and mobile technology. International Journal of Contemporary Hospitality Management, 29(2), 732-761. DOI:10.1108/IJCHM-10-2015-0611
Downloads
Published
How to Cite
Issue
Section
License
1. Articles, information, content, images, etc published in the “Community and Social Development Journal” are copyrighted by the Community and Social Development Journal, Chiang Mai Rajabhat University. In order to properly distribute the articles through print and electronic media, the authors still hold the copyright for the published articles under the Creative Commons Attribution (CC BY) license, which allows the re-distribution of the articles in other sources. References must be made to the articles in the journal. The authors are responsible for requesting permission to reproduce copyrighted content from other sources.
2. The content of the articles appearing in the journal is the direct responsibility of the article authors. The editorial board of the journal does not necessarily agree with or share any responsibility.