Adopsi Belanja Online selama Pandemi Covid-19: Pengujian Model Unified Theory of Acceptance and Use of the Technology pada Generasi Z


  • Felix Thaddeus Christianto Universitas Kristen Maranatha, Bandung, Indonesia
  • Rully Arlan Tjahyadi * Mail Universitas Kristen Maranatha, Bandung, Indonesia
  • (*) Corresponding Author
Keywords: UTAUT Model; Behavioral Intention; Covid-19 Fear; Generation Z

Abstract

The COVID-19 pandemic has created a new reality in terms of shopping, including consumption patterns among Generation Z. The pandemic has shifted offline shopping to online platforms by leveraging technology. This research aims to examine the influence of the Unified Theory of Acceptance and Use of Technology (UTAUT) model on behavioral intention. This study also investigates the impact of COVID-19 fear on behavioral intention. The respondents in this study are from Generation Z, and the sample size consists of 259 participants. Data collection for this research is conducted using a questionnaire. Validity, reliability, and classical assumptions tests are performed prior to hypothesis testing. Hypothesis testing is done using multiple linear regression analysis. The results of this study indicate that the variables of performance expectancy, effort expectancy, social influence, facilitating conditions, as well as COVID-19 fear, collectively and partially, significantly influence behavioral intention. The recommendations for future researchers are to include a broader range of variables that may influence behavioral intentions beyond the variables examined in this study and to test the use behavior. Subsequent studies are expected to expand the geographical scope to encompass regions that may possess diverse cultures and characteristics in responding to technological advancements.

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References

Blackburn, S., Laberge, L., O’toole, C., & Schneider, J. (2020). How Covid-19 has Pushed Companies Over the Technology Tipping Point—and Transformed Business Forever. McKinsey Global Publishing, October, 1–9.

Chaouali, W., Ben Yahia, I., & Souiden, N. (2016). The Interplay of Counter-Conformity Motivation, Social Influence, and Trust in Customers’ Intention to Adopt Internet Banking Services: The Case of an Emerging Country. Journal of Retailing and Consumer Services, 28, 209–218. https://doi.org/10.1016/j.jretconser.2015.10.007.

Chayomchai, A. (2020). The Online Technology Acceptance Model of Generation-Z People in Thailand During COVID-19 Crisis. Management and Marketing, 15(s1), 496–512. https://doi.org/10.2478/mmcks-2020-0029.

Csobanka, Z. E. (2016). The Z Generation. Acta Technologica Dubnicae, 6(2), 63–76. https://doi.org/10.1515/atd-2016-0012.

De’, R., Pandey, N., & Pal, A. (2020). Impact of Digital Surge During Covid-19 Pandemic: A Viewpoint on Research and Practice. International Journal of Information Management, 55(June), 102171. https://doi.org/10.1016/j.ijinfomgt.2020.102171.

Dey, B. L., Al-Karaghouli, W., & Muhammad, S. S. (2020). Adoption, Adaptation, Use and Impact of Information Systems during Pandemic Time and Beyond: Research and Managerial Implications. Information Systems Management, 37(4), 298–302. https://doi.org/10.1080/10580530.2020.1820632.

Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2019). Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model. Information Systems Frontiers, 21(3), 719–734. https://doi.org/10.1007/s10796-017-9774-y.

Eckhardt, A., Laumer, S., & Weitzel, T. (2009). Who Influences whom Analyzing Workplace Referents’ Social Influence on IT Adoption and Non-adoption. Journal of Information Technology, 24(1), 11–24. https://doi.org/10.1057/jit.2008.31.

Elahi, M. Z., Liang, G., Malik, M. J., Dilawar, S., & Ilyas, B. (2021). Fear of Covid-19 and Intention towards Adopting E-Health Services: Exploring the Technology Acceptance Model in the Scenario of Pandemic. International Journal of Business, Economics, and Management, 8(4), 270-291.

Eneizan, B., Alshare, F., Enaizan, O., Al-Salaymeh, M., Almestarihi, R., & Saleh, A. (2022). Older Adult’s Acceptance of Online Shopping (Digital Marketing): Extended UTAUT Model with COVID 19 Fear. Journal of Theoretical and Applied Information Technology, 100(7), 2334–2342.

Erjavec, J., & Manfreda, A. (2022). Online Shopping Adoption During Covid-19 and Social Isolation: Extending the UTAUT Model with Herd Behavior. Journal of Retailing and Consumer Services, 65(December 2021), 102867. https://doi.org/10.1016/j.jretconser.2021.102867.

Hoque, R., & Sorwar, G. (2017). Understanding Factors Influencing the Adoption of Health by the Elderly: An Extension of the UTAUT Model. International Journal of Medical Informatics, 101, 75–84. https://doi.org/10.1016/j.ijmedinf.2017.02.002.

Kazemi, H., Miller, D., Mohan, A., Griffith, Z., Jin, Y., Kwiatkowski, J., Tran, L., & Crawford, M. (2015). 350mW G-band Medium Power Amplifier Fabricated Through a New Method of 3D-Copper Additive Manufacturing. 2015 IEEE MTT-S International Microwave Symposium, IMS 2015, 36(1), 157–178. https://doi.org/10.1109/MWSYM.2015.7167037

Lewis, D. (2021). The Challenges of Making Indoors Safe. Nature, 592(April), 22–25. https://www.nature.com/articles/d41586-021-00810-9.

Lian, J. W., & Yen, D. C. (2014). Online Shopping Drivers and Barriers for Older Adults: Age and Gender Differences. Computers in Human Behavior, 37, 133–143. https://doi.org/10.1016/j.chb.2014.04.028.

Mamman, M., Ogunbado, A. F., & Abu-bakr, A. S. (2016). Factors Influencing Customer’s Behavioral Intention to Adopt Islamic Banking in Northern Nigeria: a Proposed Framework. Journal of Economics and Finance, 7(1), 51–55. https://doi.org/10.9790/5933-07135155.

Mertens, G., Gerritsen, L., Duijndam, S., Salemink, E., & Engelhard, I. M. (2020). Fear of the Coronavirus (COVID-19): Predictors in an Online Study Conducted in March 2020. Journal of Anxiety Disorders, 74(March). https://doi.org/10.1016/j.janxdis.2020.102258.

Nelsen, K. L., & Sahrani, R. (2021). Fear of Covid-19 Pada Karyawan Yang Bekerja Secara Luring Selama Pandemi. Jurnal Muara Ilmu Sosial, Humaniora, Dan Seni, 5(2), 539. https://doi.org/10.24912/jmishumsen.v5i2.10940.2021.

Oh, S. S., Kim, K. A., Kim, M., Oh, J., Chu, S. H., & Choi, J. Y. (2021). Measurement of Digital Literacy among Older Adults: Systematic review. Journal of Medical Internet Research, 23(2). https://doi.org/10.2196/26145.

Persada, S. F., Miraja, B. A., & Nadlifatin, R. (n.d). Understanding the Generation Z Behavior on D-Learning: A Unified Theory of Acceptance and Use of Technology (UTAUT) Approach. Institut Teknologi Sepuluh November, Surbaya, Indonesia. Diperoleh dari https://online-journals.org/index.php/i-jet/article/view/9993/5515.

Safitri, G. (n.d). Selamat Datang Gen Z, Sang Penggerak Inovasi. Universiyas Prasetiya Mulya. Diperoleh dari https://journal.prasetiyamulya.ac.id/journal/index.php/FM/article/download/596/393/.

Soh, P. Y.., Heng, H. B., Selvachandran, G., Anh, L., Chau, H. T. M., Son, L. H., Abdel-Baset, M., Manogaran, G., Varatharajan, R. (2020). Perception, Acceptance and Willingness of Older Adults in Malaysia towards Online Shopping: A Study Using the UTAUT and IRT Models. Journal of Ambient Intelligence and Humanized Computing, Januari(2020). https://doi.org/10.1007/s12652-020-01718-4, 0123456789.

Sun, H. (2009). Understanding Herd Behavior in Technology Adoption and Continued Use: A Longitudinal Perspective. In Sun. http://aisel.aisnet.org/digit2009/11.

Suwannapusit, U., Moeut, T., Pheap, L. H., & Chayomchai, A (2021). The UTAUT Model Analysis in the Technology Use of Generation-Z Users in Cambodia during Covid-19 Situation. International Journal of Current Science Research and Review, 04(07), 651-659.

enkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly: Management Information Systems, 27(3), 425–478. https://doi.org/10.2307/30036540.

Venkatesh, V., Thong, J. Y. L., & Xu, X. (2016). Unified Theory of Acceptance and Use of Technology: A Synthesis and The Road Ahead. Journal of the Association for Information Systems, 17(5), 328–376. https://doi.org/10.17705/1jais.00428.

Walrave, M., Waeterloos, C., & Ponnet, K. (2021). Ready or Not for Contact Tracing? Investigating the Adoption Intention of COVID-19 Contact-Tracing Technology Using an Extended Unified Theory of Acceptance and Use of Technology Model. Cyberpsychology, Behavior, and Social Networking, 24(6), 377–383. https://doi.org/10.1089/cyber.2020.0483.

Yıldırım, M., & Güler, A. (2022). Factor Analysis of the Covid-19 Perceived Risk Scale: A Preliminary Study. Death Studies, 46(5), 1065–1072. https://doi.org/10.1080/07481187.2020.1784311.

Yudha, C. B. (2019). Professionalism of Lecturersto Improve Character of the Student Teachers of the Millennial Era Disrupsi. Social, Humanities, and Educational Studies (SHEs): Conference Series, 1(2), 83. https://doi.org/10.20961/shes.v1i2.26780.

Yusuf, R., & Hadita, A. (2022). Perilaku Gen Z Pada Masa Pandemi Covid 19. Jurnal Sosial Jurnal Penelitian Ilmu-Ilmu Sosial, 23(1), 20–23. https://doi.org/10.33319/sos.v23i1.100.


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Article History
Submitted: 2023-06-07
Published: 2023-08-15
Abstract View: 614 times
PDF Download: 727 times
How to Cite
Christianto, F. T., & Tjahyadi, R. (2023). Adopsi Belanja Online selama Pandemi Covid-19: Pengujian Model Unified Theory of Acceptance and Use of the Technology pada Generasi Z. Ekonomi, Keuangan, Investasi Dan Syariah (EKUITAS), 5(1), 20-29. https://doi.org/10.47065/ekuitas.v5i1.3594
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