Perceived Usage of E-Wallet among the Y Generation in Surabaya based on Technology Acceptance Model

Authors

  • Dewi Pertiwi Faculty of Business and Economics, Department of Management, Petra Christian University, Jl. Siwalankerto 121-131, Surabaya, Indonesia 60236
  • Widjojo Suprapto Faculty of Business and Economics, Department of Management, Petra Christian University, Jl. Siwalankerto 121-131, Surabaya, Indonesia 60236
  • Eric Pratama Faculty of Business and Economics, Department of Management, Petra Christian University, Jl. Siwalankerto 121-131, Surabaya, Indonesia 60236

:

https://doi.org/10.9744/jti.22.1.17-24

Abstract

Although the government of Indonesia is building the cashless society, the number of e-wallet users are increasing slowly. E-wallet is becoming a common instru­ment of payments from the paper-based instruments to server-based electronic money. The aim of this research is to investigate the perceived usage of the Y Genera­tions on e-wallet based on Technological Acceptance Model (TAM) which is a power­ful model to describe single approval to the usage of a new information technology system. As a quantitative research, the data analysis is using the Partial Least Square (PLS) with the SmartPLS 3.0 software. The results show that perceived usefulness and perceived ease of use brings impacts positive significant impacts to behavioural intention to use, then, the behavioural intention to use affect a positive significant impact to perceived usage. However, a direct effect from perceived useful­ness to perceived usage shows a negative and no significant impact, meanwhile an unintended effect from perceived usefulness to perceived usage through behavioural intention to use show a positive significant impact. Finally, a direct effect from perceived ease of use to perceived usage shows a lower t-statistic value than an indi­rect effect from perceived ease of use to perceived usage through behavioural inten­tion

References

Bank Indonesia, 2018 Economic Report on Indonesia, 2019, retrieved from https://www.bi.go.

id/en/publication/annual-report/ economy/Pages/

LPI_2018-en.pdf

Bank Indonesia, Payment System Statistics, 2020, retrieved from www.bi.go.id/en/statistik/sistem-pembayaran/uang-elektronik/contents/jumlah %20uang%20elektronik%20beredar(en).pdf

Morgan, J.P., E-commerce Payments Trends: Indonesia, 2019, retrieved from https://www.jpmorgan.com/merchant-services/insights/reports/indonesia.

Santoso, E., Millenial Finance, PT Gramedia, Jakarta, 2017.

Naim, M. F., and Lenka, U., Development and Retention of Generation Y Em¬plo¬¬yees: A Concep-tual Framework. Employee Relations, 40(2), 2018, pp. 433–455.

Statistics of Surabaya City, Welfare Statistics of Surabaya Municipality 2019, 2019, Catalog number: 4101002.3578.

Cheng, F.M., Khim, C., and Thai, S., Consumer Adoption of E-Wallets: A Study of Millennials at the Institute of Foreign Languages, Cambodia, Proceedings of the 21st Asia-Pacific Conference on Global Business, Economics, Finance & Social Sciences (AP18Taiwan Conference), Taipei-Taiwan, 2018, paper ID: W812

Davis, F. D., Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology, Management Information Systems Quarterly, 13(3), 1989, pp. 319–340.

Nunes, A., Portela, F., and Santos, M. F., Improving Pervasive Decision Support System in Critical Care by using Technology Acceptance Model, Procedia Computer Science, 141, 2018, pp. 513–518.

Abdullah, F., Ward, R., and Ahmed, E., Investi¬ga-ting the Influence of the Most Commonly used External Variables of TAM on Students’ Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) of e-portfolios, Computers in Human Behavior, 63, 2016, pp. 75–90.

Lok., C.K., Adoption of Smart Cardbased e-Payment System for Retailing in Hongkong using an Extended Technology Acceptance Model, Business Marketing & Purchasing, 23B, 2015, pp. 255-466.

Hubert, M., Blut, M., Brock, C., Zhang, R. W., Koch, V., and Riedl, R, The Influence of Acceptance and Adoption Drivers on Smart Home Usage, European Journal of Marketing, 2018, pp. 1073-1098.

Camilleri, M.A., Exploring the Behavioral Intention to Use e-Government Services: Vali¬da-ting the Unified Theory of Acceptance and Use of Technology, International Conferences Internet Technologies & Society 2019 and Sustainability, Technology and Education 2019, 2019, pp. 27-34.

Seetharaman, A., Kumar, K.N., Palaniappan, S. and Weber, G., Factors Influencing Behavioural Intention to Use the Mobile Wallet in Singapore, Journal of Applied Economics and Business Research, 7(2), 2017, pp. 116-136.

Susanto, A., Chang, Y., and Ha, Y., Determinants of Continuance Intention to Use the Smartphone Banking Services, Industrial Management & Data Systems, 116(3), 2016, pp. 508–525.

Wu, J., Liu, L., and Huang, L. Consumer Acceptance of Mobile Payment Across Time: Antecedents and Moderating Role of Diffusion Stages, Industrial Management & Data Systems, 117(8), 2017, pp. 1761–1776.

Susanto, T. D., and Aljoza, M.. Individual Acceptance of e-Government Services in a Developing Country: Dimensions of Perceived Usefulness and Perceived Ease of Use and the Importance of Trust and Social Influence, Procedia Computer Science, 72, 2015, pp. 622–629.

Liu, Z., Ben, S., and Zhang, R., Factors Affecting Consumers’ Mobile Payment Behavioral Meta‑ analysis, Electric Commerce Research, Springer, 2019.

Davis, F. D., Bagozzi, R. P., and Warshaw, P. R., Use Acceptance of Computer Technology: A Com-pa¬rison of Two Theoretical Models, Mana¬ge¬ment Science, 35(8), 1989, pp. 982–1003.

Gupta, K., and Arora, N., Investigating Consumer Intention to Accept Mobile Payment Systems through Unified Theory of Acceptance Model, South Asian Journal of Business Studies, 9(1), 2020, pp. 88-114.

Hair, J.F., Risher, J.J., Sarstedt, M., and Ringle, C.M., When to Use and How to Report the Results of PLS-SEM, European Business Review, 31(1), 2019, pp. 2-24.

Kucukusta, D., Law, R., Besbes, A., and Legoherel, P., Re-examining Perceived Usefulness and Ease of Use in Online Booking, International Journal of Contemporary Hospitality Management, 27(2), 2015, pp. 185–198.

Taherdoost, H., Validity and Reliability of the Research Instrument; How to Test the Validation of a Questionnaire/Survey in a Research, International Journal of Academic Research in Management (IJARM), 5(3), 2016, pp. 28-36.

Franke, G., and Sarstedt, M., Heuristics versus Statistics in Discriminant Validity Testing: A Com¬parison of Four Procedures, Internet Research, 2019.

Upadhyay, P. and Jahanyan, S., Analyzing User Perspective on the Factors Affecting Use Inten¬tion of Mobile Based Transfer Payment, Internet Research, 26-(1), 2016, pp. 38–56.

Faham, E., and Asghari, H., Determinants of Behavioral Intention to Use e-Textbooks: A Study in Iran’s Agricultural Sector, Computers and Electronics in Agriculture, 165, 2019, pp. 104935.

Hansen, J. M., Saridakis, G., and Benson, V., Risk, Trust, and the Interaction of Perceived Ease of Use and Behavioral Control in Predicting Con-su¬mers’ Use of Social Media for Transactions, Computers in Human Behavior, 80, 2018, pp. 197–206.

Arif, M., Ameen, K., and Rafiq, M., Factors Affecting Student Use of Web-based Services, The Electronic Library, 36(3), 2018, pp. 518–534.

Hussein, Z., Leading to Intention: The Role of Attitude in Relation to Technology Acceptance Model in E-Learning, Procedia Computer Science, 105, 2017, pp. 159–164.

Singh, N., Sinha, N., and Liébana-Cabanillas, F. J., Determining Factors in the Adoption and Recommendation of Mobile Wallet Services in India: Analysis of the Effect of Innovativeness, Stress to Use and Social Influence, International Journal of Information Management, 50, 2020, pp. 191–205.

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Published

2020-06-16

How to Cite

[1]
D. Pertiwi, W. Suprapto, and E. Pratama, “Perceived Usage of E-Wallet among the Y Generation in Surabaya based on Technology Acceptance Model”, Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri, vol. 22, no. 1, pp. 17-24, Jun. 2020.

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