Aji, H. M., Berakon, I., & Md Husin, M. (2020). COVID-19 and e-wallet usage intention: A multigroup analysis between Indonesia and Malaysia. Cogent Business and Management, 7(1), 1–16.
Ajzen, I., & Fishbein, M. (1975). A Bayesian analysis of attribution processes. Psychological Bulletin, 82(2), 261.
Al-Saedi, K., Al-Emran, M., Ramayah, T., & Abusham, E. (2020). Developing a general extended UTAUT model for M-payment adoption. Technology in Society, 62(September 2019), 101293.
Altin Gumussoy, C., Kaya, A., & Ozlu, E. (2018). Determinants of Mobile Banking Use: An Extended TAM with Perceived Risk, Mobility Access, Compatibility, Perceived Self-efficacy and Subjective Norms. 225–238.
Anindya, K., Lee, J. T., McPake, B., Wilopo, S. A., Millett, C., & Carvalho, N. (2020). Impact of Indonesia’s national health insurance scheme on inequality in access to maternal health services: A propensity score matched analysis. Journal of Global Health, 10(1).
Ather, A., Patel, B., Ruparel, N. B., Diogenes, A., & Hargreaves, K. M. (2020). Coronavirus Disease 19 (COVID-19): Implications for Clinical Dental Care. Journal of Endodontics, 46(5), 584–595.
Beldad, A. D., & Hegner, S. M. (2017). More photos from me to thee: Factors influencing the intention to continue sharing personal photos on an online social networking (OSN) site among young adults in the Netherlands. International Journal of Human–Computer Interaction, 33(5), 410-422.
Chang, M. K., Cheung, W., & Lai, V. S. (2005). Literature derived reference models for the adoption of online shopping. Information & Management, 42(4), 543-559.
Daragmeh, A., Lentner, C., & Sági, J. (2021). FinTech payments in the era of COVID-19: Factors influencing behavioral intentions of “Generation X” in Hungary to use mobile payment. Journal of Behavioral and Experimental Finance, 32, 100574.
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.
Ghozali, I., & Latan, H. (2015). Partial least squares: Concepts, techniques, and applications using the smart PLS 3.0 program (2nd ed.). Semarang: Universitas Diponegoro Semarang.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Thousand Oaks. Sage, 165.
Intarot, P. (2018). Influencing Factor in E-Wallet Acceptant and Use. International Journal of Business and Administrative Studies, 4(4), 167–175.
Johnson, C. Y., Sun, L., & Freedman, A. (2020). Social distancing could buy US valuable time against coronavirus: It's a make-orbreak moment with coronavirus to test one of the most basic—but disruptive—public health tools. The Washington Post. Archived from the original on, 03-27.
Khatimah, H., Susanto, P., & Abdullah, N. L. (2019). Hedonic motivation and social influence on behavioral intention of e-money: The role of payment habit as a mediator. International Journal of Entrepreneurship, 23(1), 1–9.
Kumar, A., Dhingra, S., Batra, V., & Purohit, H. (2020). A Framework of Mobile Banking Adoption in India. Journal of Open Innovation: Technology, Market, and Complexity, 6(2).
Li, S. Y., Cheng, H., Xie, B. R., Qiu, W. X., Zeng, J. Y., Li, C. X., ... & Zhang, X. Z. (2017). Cancer cell membrane camouflaged cascade bioreactor for cancer targeted starvation and photodynamic therapy. ACS Nano, 11(7), 7006-7018.
Masa, S., Di, P. C.-, Tumbuan, W. J. F. A., & Gunawan, E. M. (2020). the Determinants Influencing Behaviorial Intention To Use E-Wallet During Covid-19 Pandemic in Manado. Jurnal EMBA: Jurnal Riset Ekonomi, Manajemen, Bisnis Dan Akuntansi, 8(4), 352–360.
Mehta, P., McAuley, D. F., Brown, M., Sanchez, E., Tattersall, R. S., & Manson, J. J. (2020). COVID-19: consider cytokine storm syndromes and immunosuppression. The lancet, 395(10229), 1033-1034.
Mun, Y. P., Khalid, H., & Nadarajah, D. (2017). Millennials’ Perception on Mobile Payment Services in Malaysia. Procedia Computer Science, 124, 397–404.
Mutahar, A. M., Daud, N. M., Thurasamy, R., Isaac, O., & Abdulsalam, R. (2018). The Mediating of Perceived Usefulness and Perceived Ease of Use. International Journal of Technology Diffusion, 9(2), 21–40.
Nicola, M., Alsafi, Z., Sohrabi, C., Kerwan, A., Al-Jabir, A., Iosifidis, C., ... & Agha, R. (2020). The socio-economic implications of the coronavirus pandemic (COVID-19): A review. International Journal of Surgery, 78, 185-193.
Olya, H. G., & Al-Ansi, A. (2018). Risk assessment of halal products and services: Implication for tourism industry. Tourism Management, 65, 279-291.
Prabhakaran, S., & Sarika, P. (n.d.). Effect of Social Influence on Intention To Use Mobile Wallet With the Mediating Effect of Promotional Benefits. XII(Ii), 3003–3019.
Prof. Dr. Sugiyono. (2017). Qualitative Research Methods, for research that is exploratory, enterpretif, interactive and construction (MPK).
Rigopoulou, I. D., Chaniotakis, I. E., & Kehagias, J. D. (2017). An extended technology acceptance model for predicting smartphone adoption among young consumers in Greece. International Journal of Mobile Communications, 15(4), 372–387.
Riquelme, H. E., & Rios, R. E. (2010). The moderating effect of gender in the adoption of mobile banking. International Journal of Bank Marketing.
Suryani, D., Kurniawan, A., & Umiyati, I. (2020). IT Self Efficacy, IT Anxiety and Interest in Using E-money. Jurnal Riset Akuntansi Dan Keuangan, 8(1), 89–108.
Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Quarterly, 157-178.
Xu, H., & Gupta, S. (2009). The effects of privacy concerns and personal innovativeness on potential and experienced customers’ adoption of location-based services. Electronic Markets, 19(2-3), 137-149.
Yeh, M. L., & Tseng, Y. L. (2017). the College Students’ Behavior Intention of Using Mobile Payments in Taiwan: an Exploratory Research. International Journal of Management and Applied Science, 3, 2394–7926.
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Affiliations
Gabriel Boggie Indrian Kusuma
Universitas Diponegoro
I Made Bayu Dirgantara
Affiliation not stated
How to Cite
Analysis An Intention to Use Electronic Wallet during Covid-19 Pandemic
Vol 10 No 4 (2021): Management Analysis Journal
Submitted: Oct 28, 2021
Published: Dec 24, 2021
Abstract
The number of Covid-19 spread is increasing in several countries, including Indonesia. The situation encourages World Health Organization (WHO) with local government authorities implement various policies, such as physical distancing and stay at home. Interestingly, this policy inspires consumers to carry out contactless activities, especially in making payment transactions. The purpose of study was to analyze the factors which influence the adoption of E-wallet during Covid-19 pandemic. To analyze the adoption behavior of using E-wallet, a conceptual framework is proposed based on the Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use Technology (UTAUT). Data was collected in the form of an online questionnaire which was distributed to 150 respondents using purposive sampling technique and tested using the AMOS 22 Structural Equation Modeling (SEM) Approach. The results showed that Personal Innovation, Experience, Social Influence had a significant effect on Intention to Use E-wallet through Perceived Ease Of Use and Perceived Usefulness.