Digital payment adoption: the antecedent of habit and behavioral intention

Ali Mohamad Rezza (1), Suci Fika Widyana (2), Angga Dewi Anggraeni (3),
(1) Universitas Logistik dan Bisnis Internasional  Indonesia
(2) Universitas Logistik dan Bisnis Internasional  Indonesia
(3) Universitas Logistik dan Bisnis Internasional  Indonesia

Corresponding Author


DOI : https://doi.org/10.29210/020243563

Full Text:    Language : en

Abstract


Despite the advancement in digital payment systems and banking in Indonesia, the adoption of this technology among service users is far from guaranteed. Recent data infers that the usage of digital payment systems and digital banking technology in Indonesia is still developing. A mere 55.80% of users have embraced electronic money for less than a year. This indicates ample room for growth and improvement in the country's digital finance industry. This study aims to explore and understand the factors that predict the adoption and behavioural intention of e-wallets in Indonesia. By utilizing hedonic motivation, habit, self-efficacy, and trust as critical predictors, the research model sheds light on the drivers of customer adoption of e-wallets. Data from a survey of 217 Indonesian customers were analyzed using Structural Equation Modeling (SEM) with Partial Least Square to examine the structural model. The research findings suggest that trust and habit greatly influence the intention to use e-wallets. However, an interesting discovery is that while previous literature indicated that behavioural intention was a key driver of technology usage, habit plays a more crucial role in adopting digital payment technology in this research.

Keywords


Digital Payment; Adoption of Technology; Trust; Hedonic Motivation; Habit

References


Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., Lal, B., & Williams, M. D. (2015). Consumer adoption of Internet banking in Jordan: Examining the role of hedonic motivation, habit, self-efficacy and trust. Journal of Financial Services Marketing, 20(2), 145–157. https://doi.org/10.1057/fsm.2015.5

Alkhowaiter, W. A. (2020). Digital payment and banking adoption research in Gulf countries: A systematic literature review. International Journal of Information Management, 53(September 2019), 102102. https://doi.org/10.1016/j.ijinfomgt.2020.102102

Alshibly, H. H. (2014). Customer Perceived Value in Social Commerce: An Exploration of Its Antecedents and Consequences. Journal of Management Research, 7(1), 17. https://doi.org/10.5296/jmr.v7i1.6800

Astutik, Y., & Hastuti, R. K. (2020). Transaksi Digital Sampai e-Commerce Melesat di Era Pandemi. Retrieved from CNBC Indonesia website: https://www.cnbcindonesia.com/tech/20200825151913-37-181854/transaksi-digital-sampai-e-commerce-melesat-di-era-pandemi

Baabdullah, A., Dwivedi, Y., Williams, M., & Kumar, P. (2015). Understanding the Adoption of Mobile Internet in the Saudi Arabian Context: Results from a Descriptive Analysis. In Open and Big Data Management and Innovation (Vol. 9373). https://doi.org/10.1007/978-3-319-25013-7

Baabdullah, A. M., Alalwan, A. A., Rana, N. P., Patil, P., & Dwivedi, Y. K. (2019). An integrated model for m-banking adoption in Saudi Arabia. International Journal of Bank Marketing, 37(2), 452–478. https://doi.org/10.1108/IJBM-07-2018-0183

Chang, A. (2012). UTAUT AND UTAUT 2: A Review And Agenda For Future Research. The Winners, 13(2), 106–114.

Compeau, D. R., & Higgins, C. A. (1995). Application of Social Cognitive Theory to Training for Computer Skills. Information Systems Research, 6(2), 118–143.

Curran, J. M., & Meuter, M. L. (2007). Encouraging existing customers to switch to self-service technologies: Put a little fun in their lives. Journal of Marketing Theory and Practice, 15(4), 283–298. https://doi.org/10.2753/MTP1069-6679150401

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., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22(14), 1111–1132. https://doi.org/10.1111/j.1559-1816.1992.tb00945.x

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

Erdfelder, E., FAul, F., Buchner, A., & Lang, A. G. (2009). Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behavior Research Methods, 41(4), 1149–1160. https://doi.org/10.3758/BRM.41.4.1149

Frank, D., & Milković, M. (2018). Evaluation of electronic programme guide adoption using UTAUT2 based model. Tehnicki Vjesnik, 25(3), 884–890. https://doi.org/10.17559/TV-20180601095518

Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in Online Shopping: An Integrated Model. MIS Quarterly: Management Information Systems, 27(1), 51–90. https://doi.org/10.1021/es60170a601

Hair, J.F, Black, W. ., Babin, B. ., & Anderson, R. E. (2014). Multivarieate Data Analysis. Pearson Education Limited.

Hair, Joe F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152. https://doi.org/10.2753/MTP1069-6679190202

Hair, Joseph F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM): Second Edition. In Sage Publications, Inc (Second Edi).

Henseler, J., Ringle, C. M., & Sarstedt, M. (2014). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8

Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. Advances in International Marketing, 20(January), 277–319. https://doi.org/10.1108/S1474-7979(2009)0000020014

Koschate-Fischer, N., & Gärtner, S. (2015). BRAND TRUST: Scale Development And Validation. Schmalenbach Business Review: ZFBF, (April 2015), 171–195.

Kumparan Tech. (2018). Riset Google: Adopsi Layanan Pembayaran Digital di Indonesia Capai 46%. Retrieved from Kumparan website: https://kumparan.com/kumparantech/riset-google-adopsi-layanan-pembayaran-digital-di-indonesia-capai-46-1543322743142072050

Morgan, R. M., & Hunt, S. D. (1994). The Commitment-Trust Theory of Relationship Marketing. Journal of Marketing, 58(3), 20–38. https://doi.org/10.1177/1356766710391135

Pappas, I. O., Mikalef, P., Dwivedi, Y. K., Jaccheri, L., Krogstie, J., Mäntymäki, M., … Ilavarasan, P. V. (2019). Digital Transformation for a Sustainable Society in the 21st Century. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1). https://doi.org/10.1007/978-3-030-29374-1

Ringle, C. M., Wende, S., & Becker, J. M. (2015). SmartPLS 3, SmartPLS. GmbH: Boenningstedt. Bönningstedt: SmartPLS. Retrieved from https://www.smartpls.com/faq/documentation/how-to-cite-smartpls

Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J. H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive model assessment in PLS-SEM: guidelines for using PLSpredict. European Journal of Marketing, 53(11), 2322–2347. https://doi.org/10.1108/EJM-02-2019-0189

Tak, P., & Panwar, S. (2013). Using UTAUT 2 model to predict mobile app based shopping: evidences from India. Journal of Indian Business Research, 5(3), 198–214. Retrieved from https://doi.org/10.1108/JIBR-11-2016-0132

Tamilmani, K., Rana, N. P., & Dwivedi, Y. K. (2020). Consumer Acceptance and Use of Information Technology: A Meta-Analytic Evaluation of UTAUT2. Information Systems Frontiers. https://doi.org/10.1007/s10796-020-10007-6

Tarantang, J., Awwaliyah, A., Astuti, M., & Munawaroh, M. (2019). Perkembangan Sistem Pembayaran Digital Pada Era Revolusi Industri 4.0 di Indonesia. Al Qardh, 4(Juli), 60–74.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. Paper Knowledge . Toward a Media History of Documents, 27(3), 425–478.

Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36(1), 157–178. Management Information Systems Research Center, University of Minnesota. https://doi.org/10.2307/41410412


Article Metrics

 Abstract Views : 329 times
 PDF Downloaded : 0 times

Refbacks

  • There are currently no refbacks.