The Generational Dynamics of E-WoM: Comparing Influence, Trust, Loyalty and Elasticity among Gen- Y and Gen-Z Consumers in Kerala

Authors

  • DR. MV PRAVEEN PG and Research Department of Commerce, Govt. College Madappally (affiliated to the University of Calicut), Vadakara, Kozhikode, Kerala, India. Author
  • PS SHIDHINA PG and Research Department of Commerce, Govt. College Madappally (affiliated to the University of Calicut), Vadakara, Kozhikode, Kerala, India. Author
  • DR. T VINEETHAN PG and Research Department of Commerce, Govt. College Madappally (affiliated to the University of Calicut), Vadakara, Kozhikode, Kerala, India. Author
  • KM REMYA PG and Research Department of Commerce, Govt. College Madappally (affiliated to the University of Calicut), Vadakara, Kozhikode, Kerala, India. Author
  • CM PRINEESH PG and Research Department of Commerce, Govt. College Madappally (affiliated to the University of Calicut), Vadakara, Kozhikode, Kerala, India. Author

DOI:

https://doi.org/10.64137/31079423/IJEBMR-V2I3P116

Keywords:

Electronic Word-of-Mouth (e-WOM), Generation Y, Generation Z, Consumer Trust, Consumer Loyalty, e-WOM Elasticity

Abstract

The Electronic Word of Mouth (e-WOM) has been acknowledged as a significant influence on consumers' online purchase decisions, trust, consumer loyalty, and post-purchase behavior. This study comparatively analyzes the impact of e-WOM on Generation Y and Generation Z consumers in a semi-urban Taluk of Kerala, focusing on the effectiveness of e-WOM, trust in e-WOM, consumer loyalty and elasticity of e-WOM. This study employed a descriptive-analytical research design, with primary data collected from 200 online shoppers (100 Gen Y and 100 Gen Z) in Vadakara Taluk, Kerala. Two-sample t-tests and mean analysis were applied to determine generational differences. Results show that e-WOM affects both generations in building consumer trust and loyalty, and no significant difference was found between the two generations. A remarkable generational difference was observed in volume elasticity, with Gen Y showing greater responsiveness to the number of reviews available. No significant difference was seen in the valence elasticity. The study offers a framework for e-commerce and digital marketing strategists for a generation-centric approach.

References

[1] R. Bhaiswar, D. Chawla, and H. Joshi, “Segmenting Electronic Word-of-Mouth Consumers: A Lifestyle and Behaviour-based Study,” Global Business Review, Sept. 2025, doi: 10.1177/09721509251374405.

[2] M. Castells, the Rise of the Network Society. Oxford, UK: Wiley-Blackwell, 2010. doi: 10.1002/9781444319514.

[3] Y. Chen, H. Yang, C. Su, and W. Zhang, “The impact of cognitive dissonance under filters on tourists’ social media complaints: the moderating role of influencer characteristics,” Tourism Recreation Research, pp. 1–14, Dec. 2025, doi: 10.1080/02508281.2025.2585804.

[4] C. M. K. Cheung and D. R. Thadani, “The Impact of Electronic word-of-mouth communication: a Literature Analysis and Integrative Model,” Decision Support Systems, vol. 54, no. 1, pp. 461–470, Dec. 2012, doi: 10.1016/j.dss.2012.06.008.

[5] Daowd, R. Hasan, T. Eldabi, P. M. Rafi-ul-Shan, D. Cao, and N. Kasemsarn, “Factors affecting eWOM credibility, information adoption and purchase intention on Generation Y: a case from Thailand,” Journal of Enterprise Information Management, vol. ahead-of-print, no. ahead-of-print, June 2020, doi: 10.1108/jeim-04-2019-0118.

[6] Erkan and C. Evans, “The Influence of eWOM in Social Media on Consumers’ Purchase intentions: an Extended Approach to Information Adoption,” Computers in Human Behavior, vol. 61, no. 1, pp. 47–55, Aug. 2016, doi: 10.1016/j.chb.2016.03.003.

[7] M. Goyal and P. Deshwal, “Online post-purchase customer experience: a qualitative study using NVivo software,” Quality & Quantity, vol. 57, Sept. 2022, doi: 10.1007/s11135-022-01492-9.

[8] T. Hennig-Thurau, K. P. Gwinner, G. Walsh, and 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, Jan. 2004, doi: https://doi.org/10.1002/dir.10073.

[9] G. Ilieva and Diyana Boteva, “Effects of electronic word-of-mouth (eWOM) drivers on customers’ behaviour,” Eastern Journal of European Studies, vol. 14, no. Special Issue, pp. 58–78, Jan. 2023, doi: 10.47743/ejes-2023-si04.

[10] K. C. Laudon, and C. G. Traver, “E-commerce: Business, technology, society,” 18th ed., Pearson, 2023.

[11] S. Li, J. Chen, and Y. Chen, “The effect of repeat purchase information in electronic word‐of‐mouth (eWOM) on purchase intention,” Journal of Consumer Behaviour, vol. 22, no. 6, Aug. 2023, doi: 10.1002/cb.2235.

[12] H. Liu, A. Shaalan, and C. Jayawardhena, “The Impact of Electronic Word-of-Mouth (eWOM) on Consumer Behaviours,” The SAGE Handbook of Digital Marketing, pp. 136–158, 2022, doi: 10.4135/9781529782509.n9.

[13] T. Thuy, Binh Long Vuong, My Dien Le, Thanh Trung Nguyen, My My Tran, and Quoc Khanh Nguyen, “The impact of eWOM information in social media on the online purchase intention of Generation Z,” Cogent Business & Management, vol. 11, no. 1, Feb. 2024, doi: 10.1080/23311975.2024.2316933.

[14] S. Prasad, A. Garg, and S. Prasad, “Purchase decision of generation Y in an online environment,” Marketing Intelligence & Planning, vol. 37, no. 4, pp. 372–385, June 2019, doi: 10.1108/mip-02-2018-0070.

[15] Roy, U. K. Paul, S. Tiwari, and A. Mookherjee, “Impact of electronic word of mouth (e-WOM) on purchasing decisions: an empirical study,” Benchmarking An International Journal, Nov. 2024, doi: 10.1108/bij-08-2024-0642.

[16] R. D. Santy and R. Andriani, “Purchase decision in terms of content marketing and e-WOM on social media,” Journal of Eastern European and Central Asian Research (JEECAR), vol. 10, no. 6, pp. 921–928, Nov. 2023, doi: 10.15549/jeecar.v10i6.1502.

[17] Sheth, “Impact of Covid-19 on Consumer Behavior: Will the Old Habits Return or Die?,” Journal of Business Research, vol. 117, no. 1, pp. 280–283, June 2020, doi: https://doi.org/10.1016/j.jbusres.2020.05.059.

[18] S. V. Tata, S. Prashar, and C. Parsad, “Examining the influence of satisfaction and regret on online shoppers’ post-purchase behaviour,” Benchmarking: An International Journal, vol. ahead-of-print, no. ahead-of-print, Dec. 2020, doi: 10.1108/bij-06-2020-0332.

[19] Wahyuningsih, H. Nasution, Y. H. Yeni, and R. Roostika, “A comparative study of generations X, Y, Z in food purchasing behavior: the relationships among customer value, satisfaction, and Ewom,” Cogent Business & Management, vol. 9, no. 1, Sept. 2022, doi: 10.1080/23311975.2022.2105585.

[20] Wilbert, None Celine, Arif Zulkarnain, and D. Rosman, “The Influence of Electronic Word-of-Mouth (e-WOM) on the Green Hotel Booking Intentions of Gen-Z Travelers,” Studies in systems, decision and control, pp. 623–633, Jan. 2024, doi: 10.1007/978-3-031-65203-5_55.

[21] Yayli and M. Bayram, “e-WOM: the effects of online consumer reviews on purchasing decisions,” International Journal of Internet Marketing and Advertising, vol. 7, no. 1, p. 51, 2012, doi: 10.1504/ijima.2012.044958.

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Published

2026-08-14

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Articles

How to Cite

MV, P., PS, S., T, V., KM, R., & CM, P. (2026). The Generational Dynamics of E-WoM: Comparing Influence, Trust, Loyalty and Elasticity among Gen- Y and Gen-Z Consumers in Kerala. International Journal of Economics and Business Management Research, 2(3), 139-146. https://doi.org/10.64137/31079423/IJEBMR-V2I3P116