The Influence of the Generation Z’s Perception and Psychological Ownership on repurchase Intention of e-shopping: Evidence from Vietnam
DOI:
https://doi.org/10.15549/jeecar.v9i2.792Keywords:
Benefits, Drawbacks, E-shopping, Generation Z (Gen Z), Perception, RepurchaseAbstract
One of the most significant achievements of Information Communication Technology (ICT) in commerce is e-shopping, which changes shopping behavior in the retail sector. This research examines how Generation Z’s perceptions of e-shopping benefits and drawbacks and A qualitative method through in-depth interviews and a quantitative method via a questionnaire survey is employed to assess the Generation Z-ers’ attitudes, perceptions, and psychology toward the benefits and drawbacks of e-shopping and their intention of choosing this channel for repurchasing. PLS-SEM will be associated to discover the relationships between Generation Z-ers’ psychological ownership, perceptions of e-shopping benefits and drawbacks, and their online repurchase intention. Findings suggest that Generation Z-ers’ online repurchase intention is due to perceived benefits, psychological ownership, and is regardless of perceived drawbacks. Furthermore, as a moderator of the effect of perceived drawbacks on repurchase intention, psychological ownership may lessen the Generation Z-ers’ concerns of e-shopping drawbacks and enhance their online repurchase intention.
References
Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588–606. https://doi.org/10.1037/0033-2909.88.3.588 DOI: https://doi.org/10.1037/0033-2909.88.3.588
Chen, C.V. and Chen, C. (2017). The role of customer participation for enhancing repurchase intention. Management Decision, 55(3), 547-562. DOI 10.1108/MD-06-2016-0380 DOI: https://doi.org/10.1108/MD-06-2016-0380
Chiang, K. P., & Dholakia, R. R. (2003). Factors driving consumer intention to shop online: An empirical investigation. Journal of Consumer Psychology, 13(1–2), 177–183. https://doi.org/10.1207/s15327663jcp13-1&2_16 DOI: https://doi.org/10.1207/S15327663JCP13-1&2_16
Chiu, C. M., Chang, C. C., Cheng, H. L., & Fang, Y. H. (2009). Determinants of customer repurchase intention in online shopping. Online Information Review, 33(4), 761–784. https://doi.org/10.1108/14684520910985710 DOI: https://doi.org/10.1108/14684520910985710
Cohen, J. (1988). Statistical Power Analysis for the Behavioral Science (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates.
Dabija, D. and Lung, L. (2019). Millennials Versus Gen Z: Online Shopping Behaviour in an Emerging Market. Springer Proceedings in Business and Economics. https://doi.org/10.1007/978-3-030-17215-2 DOI: https://doi.org/10.1007/978-3-030-17215-2_1
Dawkins, S., Tian, A.W., Newman, A. and Martin, A. (2015). Psychological ownership: A review and research agenda. Journal of Organizational Behavior, 38, 163–183. DOI: 10.1002/job.2057 DOI: https://doi.org/10.1002/job.2057
Dolot, A. (2018). The characteristics of Generation Z. E-mentor. https://doi.org/10.15219/em74.1351 DOI: https://doi.org/10.15219/em74.1351
Eri, Y., Aminul Islam, Md., & Ku Daud, K. A. (2011). Factors that Influence Customers’ Buying Intention on Shopping Online. International Journal of Marketing Studies, 3(1), 128–139. https://doi.org/10.5539/ijms.v3n1p128 DOI: https://doi.org/10.5539/ijms.v3n1p128
Fang, J., Wen, C., George, B. and Prybutok, V.R. (2016). Consumer Heterogeneity, Perceived Value, and Repurchase Decision-making in Online Shopping: The Role of Gender, Age, and Shopping Motives. Journal of Electronic Commerce Research, 17(2), 116-131. Retrieved October 14, 2021 from http://www.jecr.org/node/490
Fromm, J. and Read, A. (2020). Marketing to Gen Z. US: American Management Association.
Hair, J.F., Hult, G, T.M., Ringle, C.M., and Sarstedt, M. (2017). A Premier on Partial Least Squares Structural Equation Modelling (PLS-SEM). US: Sage. DOI: https://doi.org/10.15358/9783800653614
Inglehart, R. (1977). The silent revolution: changing values and political styles among Western publics. UK: Princeton University Press.
Jain, R., & Kulhar, M. (2019). Barriers to online shopping. International Journal of Business Information Systems, 30(1), 31–50. https://doi.org/10.1504/IJBIS.2019.097043 DOI: https://doi.org/10.1504/IJBIS.2019.097043
Jiang, L. (Alice), Yang, Z., & Jun, M. (2013). Measuring consumer perceptions of online shopping convenience. Journal of Service Management, 24(2), 191–214. https://doi.org/10.1108/09564231311323962 DOI: https://doi.org/10.1108/09564231311323962
Jílková, P. and Králová. P. (2020). Customer insights and Online Shopping attitude of Gen-Z. The 14th International Days of Statistics and Economics (Conference proceedings), 408-417. Retrieved August 01, 2021 from https://msed.vse.cz/msed_2020/article/340-Jilkova-Petra-paper.pdf
Katawetawaraks, C., & Wang, C. L. (2011). Online Shopper Behavior: Influences of Online Shopping Decision. Asian Journal of Business Research, 1(2), 66–74. https://doi.org/10.14707/ajbr.110012 DOI: https://doi.org/10.14707/ajbr.110012
Kulviwat, S., Zhang, Y., Fan, J., and Zheng, L. (2016). Understanding consumer shopping behavior: a comparison of three theories of emotions in predicting online flow. Int. J. Electronic Marketing and Retailing, 7 (1), 3–21. DOI: 10.1504/IJEMR.2016.075322 DOI: https://doi.org/10.1504/IJEMR.2016.075322
Lim, Y. J., Osman, A., Salahuddin, S. N., Romle, A. R., & Abdullah, S. (2016). Factors Influencing Online Shopping Behavior: The Mediating Role of Purchase Intention. Procedia Economics and Finance, 35, 401–410. https://doi.org/10.1016/s2212-5671(16)00050-2 DOI: https://doi.org/10.1016/S2212-5671(16)00050-2
Lissitasa, S. and Kol, O. (2019). Four generation cohorts and hedonic m-shopping: association between personality traits and purchase intention. Electronic Commerce Research, 545–570. https://doi.org/10.1007/s10660-019-09381-4 DOI: https://doi.org/10.1007/s10660-019-09381-4
Mah, K. (2019). Vietnam’s New Age Consumers: Generation Z. Vietnam Briefing. Retrieved July 29, 2021 from https://www.vietnam-briefing.com/news/vietnams-new-age-consumers-generation-z.html/
Nittala, R. (2015). Factors Influencing Online Shopping Behavior of Urban Consumers in India. International Journal of Online Marketing, 5(1), 38–50. https://doi.org/10.4018/ijom.2015010103 DOI: https://doi.org/10.4018/IJOM.2015010103
Park, C. H., & Kim, Y. G. (2003). Identifying key factors affecting consumer purchase behavior in an online shopping context. International Journal of Retail & Distribution Management, 31(1), 16–29. https://doi.org/10.1108/09590550310457818 DOI: https://doi.org/10.1108/09590550310457818
Patro, C.S. (2019). Influence of Perceived Benefits and Risks on Consumers’ Perceived Values in Online Shopping: An empirical Study. International Journal of Applied Behavioral Economics, 8 (3). DOI: 10.4018/IJABE.2012070102. DOI: https://doi.org/10.4018/IJABE.2019070102
Peck, J. and Luangrath, A.W. (2018). Looking Ahead: Future Research in Psychological Ownership. In Peck, J., and Shu, S.B. (2018). Psychological Ownership and Consumer Behavior. Switzerland: Springer. https://doi.org/10.1007/978-3-319-77158-8 (e-book) DOI: https://doi.org/10.1007/978-3-319-77158-8_15
Peck, J. and Shu, S.B. (2018). Psychological Ownership and Consumer Behavior. Switzerland: Springer. https://doi.org/10.1007/978-3-319-77158-8 (e-book) DOI: https://doi.org/10.1007/978-3-319-77158-8_16
Pendergast, D. (2009). Generational Theory and Home Economics: Future Proofing the Profession. Family and Consumer Sciences Research Journal, 37 (4), 504-522. DOI: 10.1177/1077727X09333186 DOI: https://doi.org/10.1177/1077727X09333186
Pham, Q. T., Tran, X. P., Misra, S., Maskeliunas, R., & Damaševi?ius, R. (2018). Relationship between convenience, perceived value, and repurchase intention in online shopping in Vietnam. Sustainability (Switzerland), 10(1). https://doi.org/10.3390/su10010156 DOI: https://doi.org/10.3390/su10010156
Pierce, J.L. and Peck, J. (2018). The History of Psychological Ownership and Its Emergence in Consumer Psychology, in Peck, J., and Shu, S.B. (2018). Psychological Ownership and Consumer Behavior. Switzerland: Springer. https://doi.org/10.1007/978-3-319-77158-8 (e-book) DOI: https://doi.org/10.1007/978-3-319-77158-8_1
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. https://doi.org/10.1016/j.chb.2017.01.058 DOI: https://doi.org/10.1016/j.chb.2017.01.058
Ramayah, T., Cheah, J., Chuah, F., Ting, H., & Memon, M. A. (2018). Partial least squares structural equation modeling (PLS-SEM) using SmartPLS 3.0: An updated guide and practical guide to statistical analysis (2nd ed.). Malaysia: Pearson.
Sauder, M, Lewis, P. and Thornhill, A. (2016). Research Method for Business Students (7th ed). UK: Pearson.
Simanjuntaka, M., Nurb, H.R., Sartonoa, B., and Sabric, M.F. (2019). A general structural equation model of the emotions and repurchase intention in modern retail. Management Science Letters, 10, 801-814. DOI: 10.5267/j.msl.2019.10.017 DOI: https://doi.org/10.5267/j.msl.2019.10.017
Statista (2021a). Retail e-commerce sales worldwide from 2014 to 2024. Retrieved June 14, 2021 from https://www.statista.com/statistics/379046/worldwide-retail-e-commerce-sales/
Statista (2021b). E-commerce share of total global retail sales from 2015 to 2024. Retrieved June 14, 2021 from https://www.statista.com/statistics/534123/e-commerce-share-of-retail-sales-worldwide/
Tham, K.W., Dastane, O., Johari, Z., and Ismail, N.B. (2019). Perceived Risk Factors Affecting Consumers’ Online Shopping Behaviour. Journal of Asian Finance, Economics, and Business, 6(4), 249-260. DOI:10.13106/jafeb.2019.vol6.no4.249 DOI: https://doi.org/10.13106/jafeb.2019.vol6.no4.249
Thangavel, P., Pathak, P., and Chandra, B. (2021). Millennials and Generation Z: a generational cohort analysis of Indian consumers. Benchmarking: An International Journal, 28(7), 2257-2177. DOI: 10.1108/BIJ-01-2020-0050 DOI: https://doi.org/10.1108/BIJ-01-2020-0050
Vinzi, E., Chin, W.W., Henseler, J., and Wang, H. (2010). Handbook of Partial Least Squares: Concepts, Methods, and Applications. UK: Springer. DOI: https://doi.org/10.1007/978-3-540-32827-8
Wood, S. (2013). Generation Z as consumers: Trends and innovation. Institute for Emerging Issues: NC State University. Retrieved July 02, 2021, from https://iei.ncsu.edu/wp-content/uploads/2013/01/GenZConsumers.pdf
Zhao, Q., Chen, C. and Wang, J. (2016). The effects of psychological ownership and TAM on social media loyalty: An integrated model. Telematics and Informatics, 33, 959-972. http://dx.doi.org/10.1016/j.tele.2016.02.007 DOI: https://doi.org/10.1016/j.tele.2016.02.007
Downloads
Published
How to Cite
Issue
Section
License
The JEECAR journal allows the author(s) to hold the copyright and publishing rights of their own manuscript without restrictions.
This journal applies the Creative Attribution Common License to works we publish, and allows reuse and remixing of its content, in accordance with a CC-BY 4.0 license.
Authors are free to: Share — copy and redistribute the material in any medium or format and Adapt — remix, transform, and build upon the material for any purpose, even commercially.
Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
No additional restrictions — The author may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
The JEECAR Journal is committed to the editorial principles of all aspects of publication ethics and publication malpractice as assigned by the Committee on Public Ethics.
