The influence of electronic word of mouth (eWOM) on the purchase intention of green cosmetics among Gen Z consumers in Vietnam

Abstract

This study investigates the influence of electronic word of mouth (eWOM) on the purchase intention of green cosmetics among Gen Z consumers in Vietnam. Integrating the Theory of Planned Behavior (TPB) and the Information Adoption Model (IAM), the research framework comprises five key constructs: eWOM, health concerns, environmental concerns, attitudes toward shopping, and purchase intention. The findings reveal that eWOM exerts a significant positive effect on both attitudes toward shopping and purchase intention. Additionally, health and environmental concerns enhance positive attitudes, thereby indirectly strengthening purchase intention. Managerial implications highlight the importance of optimizing digital communication strategies and leveraging eWOM, particularly source credibility and information quality, to enhance persuasive effectiveness and better engage Gen Z in the green cosmetics market.
Keywords
electronic word-of-mouth (eWOM) green cosmetics attitude towards purchase purchase intention

References

1.
Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.
2.
Cheung, C. M., & Lee, M. K. (2012). What drives consumers to spread electronic word-of-mouth in online consumer-opinion platforms?. Decision support systems, 53(1), 218-225.
3.
Dasanayaka, D., & Karunarathne, E. (2024). Motives to engage electronic word of mouth: A case of fashion products marketed in Sri Lanka. Information Development, 0(0).
4.
Filieri, R., Lin, Z., Pino, G., Alguezaui, S., & Inversini, A. (2021). The role of visual cues in eWOM on consumers’ behavioral intention and decisions. Journal of Business Research, 135, 663-675.
5.
Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention and behavior: An introduction to theory and research. Addison-Wesley.
6.
Francis, T., & Hoefel, F. (2018). ‘True gen’: Generation Z and its implications for companies. McKinsey & Company.
7.
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(1), 38-52.
8.
Jaini, A.; Quoquab, F.; Mohammad, J. & Hussin, N. (2020). Antecedents of green purchase behavior of cosmetics products: An empirical investigation among Malaysian consumers. Int. J. Ethics Syst., 36, 185-203.
9.
McEachern, Morven G., & Paulin Mcclean. 2002. Organic purchasing motivations and attitudes: Are they ethical? International Journal of Consumer Studies 26: 85-92.
10.
Müller-Pérez, J., Acevedo-Duque, Á., Rettig, P. V., García-Salirrosas, E. E., Fernández-Mantilla, M. M., Izquierdo-Marín, S. S., & Álvarez-Becerra, R. (2023). Consumer Behavior after COVID-19: Interpersonal Influences, eWOM and Digital Lifestyles in More Diverse Youths. Sustainability, 15(8), 6570.
11.
Nguyen, D. T. B., & Nguyen, V. T. K. (2024). The Impact of Electronic Word-of-Mouth on the Purchase Intention of Tourists on Online Hotel Booking Applications. International Journal of Asian Business and Information Management, 15(1), 1-19.
12.
Paul, Justin & Modi, Ashwin & Patel, Jayesh. (2015). Predicting green product consumption using theory of planned behavior and reasoned action. Journal of Retailing and Consumer Services. 29. 123-134.
13.
Priporas, C. V., Stylos, N., & Fotiadis, A. K. (2017). Generation Z consumers' expectations of interactions in smart retailing: A future agenda. Computers in Human Behavior, 77, 374-381.
14.
Sohaib, Muhammad & Hui, Peng & Akram, Umair. (2018). Impact of eWOM and risk-taking in gender on purchase intentions: evidence from Chinese social media. International Journal of Information Systems and Change Management, 10(2).
15.
Sussman, S. W., & Siegal, W. S. (2003). Informational influence in organizations: An integrated approach to knowledge adoption. Information systems research, 14(1), 47-52.