A Model of Thai Consumers’ Behavioral Intentions to Buy Products on Mobile Devices in Generational Cohorts

Authors

  • Vinai Panjakajornsak Associate professor, Faculty of Management Science, Institute of Entrepreneurial Science Ayothaya.

Keywords:

Online buying behavior, Behavioral intentions, Generational cohorts, Digital devices

Abstract

          This research has the objectives of 1) developing a model of behavioral intentions to buy goods on mobile devices of Thai consumers’ generational cohorts, and 2) analyzing the effects of factors on the behavioral intentions to buy goods on mobile devices of Thai consumers’ generational cohorts. The population of the research was 2,359,089 Thai internet users and the sample group was Thai consumers who used to buy goods online to correspond with the objective of studying three generational cohorts: 1. Baby Boomers (aged 50-69 years old), 2. Generation X (aged 35-49 years old) and 3. Generation Y (aged 20-34 years old). The research instruments used to collect primarydata were self-administered questionnaires using 7-point Likert scales asking their opinions about their internet behavior and purchase of goods on mobile devices.

              The factor analysis found the eight factors of perceived risk, perceived price, e-word-of-mouth, Brand image, attitude, trust and perceived value that affected behavioral intention. The results of model testing indicate consistency with empirical data and all 13 hypotheses were accepted. The multi-group analysis found that there were no significant differences among the three generational cohorts. The results of hypothesis testing reveal that all 13 hypotheses were accepted, implying that the model of behavioral intentions to buy goods on mobile devices of Thai consumers can be applied to the three generational cohorts.

References

นรินทร์ ตันไพบูลย์. (2567). แนวโน้มธุรกิจ/อุตสาหกรรม ปี 2567-2569: ธุรกิจร้านค้าปลีกสมัยใหม่. [ออนไลน์]. ค้นเมื่อ 6 กุมภาพันธ์ 2567, จาก : https://thaitara.org/wp-content/uploads/2024/02/SO_Industry_Outlook_2024_2026_240109_TH_EX_BAY.pdf

สำนักงานสถิติแห่งชาติ. (2565). การสำรวจการมีการใช้เทคโนโลยีสารสนเทศและการสื่อสารในครัวเรือน พ.ศ.2565. กระทรวงเทคโนโลยีสารสนเทศและการสื่อสาร.

Bezes, C. (2016). Comparing online and in-store risks in multichannel shopping. International Journal of Retail & Distribution Management. 44(3), 284-300.

Bianchi, C., & Andrews, L. (2012). Risk, trust, and consumer online purchasing behavior: A Chilean perspective. International Marketing Review, 29(3), 253-276.

Bryne, B.M. (2016). Structural Equation Modeling with Amos. New York, Routledge.

Garbarino, E., & Strahilevitz, M. (2004). Gender differences in the perceived risk of buying online and the effects of receiving a site recommendation. Journal Business Research. 57, 768-775.

Hair, J.F., Black, W.C., Babin, B.J., & Anderson, R.E. (2010). Multivariate Data Analysis. New Jersey: Pearson Education.

Huang, Y., & Oppewal, H. (2006). Why consumers hesitate to shop online?. International Journal of Retail & Distribution Management. 34 (4/5), 334-353.

Jaruwanchirathanakul, B., & Fink, D. (2005). Internet banking adoption strategies for a developing country: the case of Thailand. Internet Research, 15, 3, 295-311.

Kline, R.B. (2016). Principles and Practices of Structural Equation Modeling. New York: the Guilford Press.

Lien, C.H., Wen, M.J., Huang, L.C., & Wu, K.L. (2015). Online hotel booking: The effects of brand image, price, trust and value on purchase intentions. Asia Pacific Management Review. 20, 210-218.

Quach, T.N., Thaichon, P., & Jebarajakirthy, C. (2016). Internet service providers’ service quality and its effects on customer loyalty of different usage patterns. Journal of Retailing and Consumer Services. 29, 104-113.

Schumacker, R.E., & Lomax, R.G. (2016). A Beginner’s Guide to Structural Equation Modeling. New York: Routledge.

Smutkupt, P., Krairit, D., & Khang, D.B. (2012). Mobile marketing and consumer perceptions of brand equity. Asia Pacific Journal of Marketing and Logistics. 24(4), 539-560.

Taufique, K.R., Sabbir, M.M., Quinton, S., & Andaleeb, S.S. (2024). The different impact of utilitarian and hedonic attributes on web-based retail shopping behavior through the lens of extended technology acceptance model. International Journal of Retail & Distribution Management. 52(4), 443-460.

Thaichon, P., Lobo, A., Prentice, C., & Quach, T.N. (2014). The development of service quality, dimensions of internet service providers: Retaining customers of different usage patterns. Journal of Retailing and Consumer Services. 21, 1047-1058.

Wagner, G., Schramm-Klien, H., and Steinmann, S. (2017). Consumers’ attitudes and intentions toward Internet-enabled TV shopping. Journal of Retailing and Consumer Services. 34, 278-286.

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Published

2024-12-18