Online Purchase Intention Development Model For Indonesian Millennial Generation
DOI:
https://doi.org/10.54099/ijamb.v3i1.1284Abstract
This research aims to identify factors influencing online purchase intention for Indonesian Millennial generation. The methodology used in this research is based on data collection using a questionnaire distributed through Googleform and consisting of 397 respondents. Data processing and analysis have been conducted using Smart PLS. Research resulted: All of the variables Perceived Usefulness, Perceived Self-Efficiency and Overreaction have positive influence on Online Purchase Intention. This research showed that Indonesian millennial generation had emotional rather than rational planning in online purchases. They prefer shopping online rather than offline because they used to proficient to adopt technology as long as technology is easy to use and useful. Based on research results, it is proven that variable overreaction is applied in the stock market for purchasing shares by investors but it is also proven in the consumption market. Indonesian Millennial generation tends to have overreaction on online purchase intention because of big sale, visual appeal, private collection. There are some managerial implications for e-commerce business players, especially to have a strategy to create applications with a more attractive application appearance, offer various promotions, and providing buyer review features. This research has contributed to developing a Technology Acceptance Model with the addition of Perceived Usefulness, Perceived Self-Efficacy and Overreaction variables in online Purchase Intention
References
Ajzen, I., & Fishbein, M. (1975). A Bayesian analysis of attribution processes. Psychological Bulletin, 82(2), 261–277. https://doi.org/10.1037/h0076477
Akram, U., Junaid, M., Zafar, A. U., Li, Z., & Fan, M. (2021). Online purchase intention in Chinese social commerce platforms: Being emotional or rational? Journal of Retailing and Consumer Services, 63(June), 102669. https://doi.org/10.1016/j.jretconser.2021.102669
Amaro, S., & Duarte, P. (2015). An integrative model of consumers’ intentions to purchase travel online. Tourism Management, 46, 64–79. https://doi.org/10.1016/j.tourman.2014.06.006
Arghashi, V., & Yuksel, C. A. (2022). Interactivity, Inspiration, and Perceived Usefulness! How retailers’ AR-apps improve consumer engagement through flow. Journal of Retailing and Consumer Services, 64(August 2021), 102756. https://doi.org/10.1016/j.jretconser.2021.102756
Armitage, C. J., & Conner, M. (2001). Efficacy of the theory of planned behaviour: A meta-analytic review. British Journal of Social Psychology, 40(4), 471–499. https://doi.org/10.1348/014466601164939
Athapaththu, J. C., & Kulathunga, K. (2018). Factors affecting online purchase intention: A study of Sri Lankan online customers. International Journal of Scientific & Technology Research, 7(9), 1–10.
Bandura, A. (1998). Health promotion from the perspective of social cognitive theory. Psychology and Health, 13(4), 623–649. https://doi.org/10.1080/08870449808407422
Bandura, A., Nancy E, A., & Beyer, J. (1977). Personality and Social Psychology by the American Psychological Association, Inc. Personality Social Psychology, 35(3).
Cass, A. O., & Fenech, T. (2003). Web retailing adoption : exploring the nature of internet users Web retailing behaviour. 10, 81–94.
Childers, T. L., Carr, C. L., Peck, J., & Carson, S. (2001). Hedonic and utilitarian motivations for online retail shopping behavior. Journal of Retailing, 77(4), 511–535. https://doi.org/10.1016/S0022-4359(01)00056-2
Choirul, A., & Artanti, Y. (2019). Millennials’s Impulse Buying Behaviour: Why Positive Emotion Does not Mediate? Journal of Economics, Business & Accountancy Ventura, 22(2), 223–236. https://doi.org/10.14414/jebav.v22i2.1738
Dash, S., & Saji, K. B. (2008). Benefit segmentation of tourists to the caribbean. Journal of International Consumer Marketing, 20(2). https://doi.org/10.1300/J046v20n02_04
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982
Davis, F. D., & Venkatesh, V. (1996). A critical assessment of potential measurement biases in the technology acceptance model: Three experiments. International Journal of Human Computer Studies, 45(1), 19–45. https://doi.org/10.1006/ijhc.1996.0040
De Bondt, W. F. M., & Thaler, R. (1985). Does the Stock Market Overreact? The Journal of Finance, 40(3), 793–805. https://doi.org/10.1111/j.1540-6261.1985.tb05004.x
Dhanapal, S., Vashu, D., & Subramaniam, T. (2015). Perceptions on the challenges of online purchasing: A study from “baby boomers”, generation “X” and generation “Y” point of views. Contaduria y Administracion, 60, 107–132. https://doi.org/10.1016/j.cya.2015.08.003
Ghozali, I. (2016). Aplikasi Analisis Multivariete Dengan Program IBM SPSS 23 (VIII). Universitas Diponegoro (UNDIP).
Hair, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26(2), 106–121. https://doi.org/10.1108/EBR-10-2013-0128
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43, 115-135.
Hsu, M. H., & Chiu, C. M. (2004). Internet self-efficacy and electronic service acceptance. Decision Support Systems, 38(3), 369–381. https://doi.org/10.1016/j.dss.2003.08.001
JM Clark. (1918). The University of Chicago Press Journals. Journal of Polical Economy, 26(1), 1–30. https://www.jstor.org/stable/1820785
John Maurice Clark. (1918). The Journal of Political Economy: Economics and Modern Psychology. 26(1), 1–30.
Kent Daniel, David Hirshleifer, A. S. (2006). Investor Psychology and Security Market Under- and Overreaction. Wiley Online Library.
Khaled, M. S. F. (2013). Exploring The Influence Of Perceived Risk And Internet Self-Efficacy On Consumer Online Shopping Intentions: Perspective Of Technology Acceptance Model. International Management Review, 9(1), 67–78. http://americanscholarspress.us/journals/IMR/pdf/IMR-1-2013/v9n113-art7.pdf
Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44(2), 544–564. https://doi.org/10.1016/J.DSS.2007.07.001
Kim, J., & Forsythe, S. (2010). Factors affecting adoption of product virtualization technology for online consumer electronics shopping. International Journal of Retail and Distribution Management, 38(3), 190–204. https://doi.org/10.1108/09590551011027122
Kim, S. S. (2020). Purchase intention in the online open market: Do concerns for E-commerce really matter? Sustainability (Switzerland), 12(3), 773. https://doi.org/10.3390/su12030773
Latan, H., & Gozali, I. (2015). Partial Least Squares: Concepts, Techniques and Applications using SmartPLS 3 (2nd ed.). Diponegoro University.
Lerskullawat, P., & Ungphakorn, T. (2019). Does overreaction still exist in Thailand? Kasetsart Journal of Social Sciences, 40(3), 689–694. https://doi.org/10.1016/j.kjss.2018.02.001
Malter, M. S., Holbrook, M. B., Kahn, B. E., Parker, J. R., & Lehmann, D. R. (2020). The past, present, and future of consumer research. Marketing Letters, 31(2–3), 137–149. https://doi.org/10.1007/s11002-020-09526-8
Mandilas, A., Karasavvoglou, A., Nikolaidis, M., & Tsourgiannis, L. (2013). Predicting Consumer’s Perceptions in On-line Shopping. Procedia Technology, 8(Haicta), 435–444. https://doi.org/10.1016/j.protcy.2013.11.056
Menon, S., & Kahn, B. (2002). Cross-category effects of induced arousal and pleasure on the Internet shopping experience. Journal of Retailing, 78(1), 31–40.
Nadia K Putri. (2024). We Are Social: 59 persen pengguna internet Indonesia hobi belanja online. https://id.techinasia.com/indonesia-hobi-belanja-online
Pelaez, A., Chen, C. W., & Chen, Y. X. (2019). Effects of Perceived Risk on Intention to Purchase: A Meta-Analysis. Journal of Computer Information Systems, 59(1), 73–84. https://doi.org/10.1080/08874417.2017.1300514
Peña-García, N., Gil-Saura, I., Rodríguez-Orejuela, A., & Siqueira-Junior, J. R. (2020). Purchase intention and purchase behavior online: A cross-cultural approach. Heliyon, 6(6). https://doi.org/10.1016/j.heliyon.2020.e04284
Perea Y Monsuwé, T., Dellaert, B. G. C., & De Ruyter, K. (2004). What drives consumers to shop online? A literature review. International Journal of Service Industry Management, 15(1), 102–121. https://doi.org/10.1108/09564230410523358
Rita, P., Oliveira, T., & Farisa, A. (2019). The impact of e-service quality and customer satisfaction on customer behavior in online shopping. Heliyon, 5(10), e02690. https://doi.org/10.1016/j.heliyon.2019.e02690
Rook, D. W. (1987). The Buying Impulse. Journal of Consumer Research, 14(2), 189. https://doi.org/10.1086/209105
Sekaran, U., & Roger Bougie. (2016). Research Methods for Business :A Skill-Building Approach (7th ed.). John Wiley & Sons Ltd. www.wileypluslearningspace.com
Shim, S., Eastlick, M. A., Lotz, S. L., & Warrington, P. (2001). An online prepurchase intentions model. Journal of Retailing, 77(3), 397–416. https://doi.org/10.1016/s0022-4359(01)00051-3
Shroff, R. H., Deneen, C. C., & Ng, E. M. W. (2011). Analysis of the technology acceptance model in examining students’ behavioural intention to use an e-portfolio system. Australasian Journal of Educational Technology, 27(4), 600–618. https://doi.org/10.14742/ajet.940
Tuteja, G., Gupta, S., & Garg, V. (2016). Consumer Trust in Internet Shopping. Paradigm, 20(2), 191–215. https://doi.org/10.1177/0971890716670723
Venkatesh, V. (2000). Determinants of perceived ease of use : integrating control , intrinsic motivation , acceptance model. Information System Research, 11(3), 342–365.
Yazeed, M., Dantsoho, M. A., & Abubakar, A. A. (2021). Perceived Usefulness, Ease of Use, Online Trust and Online Purchase Intention: Mediating Role of Attitude Towards Online Purchase. USF M3 Publishing, 1–23. https://doi.org/https://www.doi.org/10.5038/9781955833035
Yu, H., Zhang, R., & Liu, B. (2018). Analysis on consumers’ purchase and shopping well-being in online shopping carnivals with two motivational dimensions. Sustainability (Switzerland), 10(12), 1–18. https://doi.org/10.3390/su10124603
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