Understanding the determinants of e-wallet continuance usage intention in Malaysia
Open accessAbstract
The present research aims to investigate the determinants of e-wallet continuance usage intention in Malaysia using extending Technology Continuance Theory (TCT) via examining four variables, namely price benefit, trust, habit, and operational constraints. This paper adopts a quantitative approach to collect data with non-probability sampling using the purposive sampling technique. An online survey was conducted and a total of 379 respondents submitted their answers. The obtained results have shown that continue use of e-wallet is not affected by perceived usefulness (PU) and trust. However, there is a significant influence associated with perceived ease of use (PEU), PU, and satisfaction toward user's attitude that, in turn, substantially impacts the users' intention to continue to use e-wallet. This is one of the prior studies exploring Malaysian's intention to continue using e-wallet, using the TCT model as the research framework, and through examining four variables adopted from the literature, including price benefit, habit, trust, and operational constraints. The practical implications for the service providers and policymakers from the present findings can be used to develop strategies to gain a sustainable, competitive advantage, and promote continuous intention of e-wallet usage.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Perceived ease of use has a positive impact on Fintech adoption.
“The previous study has revealed that PEU has a positive impact on Fintech adoption [25-27].”
From Fintech Adoption Drivers for Innovation for SMEs in Indonesia (2022) · cites this paper as [26]
The Discussion sections on PEU and PU and on PEU and attitude report positive effects for Malaysian e-wallet users. The paper studies continued e-wallet use, however, rather than showing that perceived ease of use positively affects Fintech adoption generally. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
1 retracted
RETRACTED: Using e-wallet for business process development: challenges and prospects in Malaysia
Alam, M. M., Awawdeh, A. E., & Muhamad, A. I. (2021) · Business Process Management Journal · doi:10.1108/bpmj-11-2020-0528 · Cited by 107 · see citing works
RetractedPodsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194 · see citing works
A new criterion for assessing discriminant validity in variance-based structural equation modeling
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-014-0403-8 · Cited by 38,459 · see citing works
A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies
Venkatesh, V., & Davis, F. D. (2000) · Management Science · doi:10.1287/mnsc.46.2.186.11926 · Cited by 23,066 · see citing works
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012) · MIS Quarterly · doi:10.2307/41410412 · Cited by 15,756 · see citing works
Sources of method bias in social science research and recommendations on how to control it
Podsakoff, P. M., MacKenzie, S. B., & Podsakoff, N. P. (2012) · Annual Review of Psychology · doi:10.1146/annurev-psych-120710-100452 · Cited by 15,744 · see citing works
Understanding Information Systems Continuance: An Expectation-Confirmation Model1
Bhattacherjee, A. (2001) · MIS Quarterly · doi:10.2307/3250921 · Cited by 8,767 · see citing works
Understanding consumer acceptance of mobile payment services: An empirical analysis
Schierz, P. G., Schilke, O. S., & Wirtz, B. W. (2009) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2009.07.005 · Cited by 1,295 · see citing works
Wu, B., & Chen, X. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.10.028 · Cited by 1,178 · see citing works
An empirical examination of continuance intention of mobile payment services
Zhou, T. (2012) · Decision Support Systems · doi:10.1016/j.dss.2012.10.034 · Cited by 957 · see citing works
Slade, E. L., Dwivedi, Y. K., Piercy, N. C., & Williams, M. D. (2015) · Psychology & Marketing · doi:10.1002/mar.20823 · Cited by 922 · see citing works
A Primer on Partial Least Squares Structural Equation Modeling
Sarstedt, M., Hult, G. T. M., Ringle, C. M., & Hair, J. F. (2013) · Cited by 873 · see citing works
Sharma, S. K., & Sharma, M. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.09.013 · Cited by 724 · see citing works
Understanding the MOOCs continuance: The role of openness and reputation
Alraimi, K. M., Zo, H., & Ciganek, A. P. (2014) · Computers & Education · doi:10.1016/j.compedu.2014.08.006 · Cited by 688 · see citing works
Singh, N., Sinha, N., & Liébana-Cabanillas, F. J. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.05.022 · Cited by 673 · see citing works
Information technology adoption behavior life cycle: Toward a Technology Continuance Theory (TCT)
Liao, C., Palvia, P., & Chen, J.-L. (2009) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2009.03.004 · Cited by 579 · see citing works
Leong, L.-Y., Hew, T.-S., Ooi, K., & Wei, J. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.102047 · Cited by 561 · see citing works
Au, Y. A., & Kauffman, R. J. (2007) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2006.12.004 · Cited by 558 · see citing works
The non-monetary benefits of mobile commerce: Extending UTAUT2 with perceived value
Shaw, N., & Sergueeva, K. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.10.024 · Cited by 503 · see citing works
Explain the intention to use smartphones for mobile shopping
Agrebi, S., & Jallais, J. (2014) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2014.09.003 · Cited by 414 · see citing works
Understanding mobile payment users’ continuance intention: a trust transfer perspective
Cao, X., Yu, L., Liu, Z., Gong, M., & Luqman, A. (2018) · Internet Research · doi:10.1108/intr-11-2016-0359 · Cited by 398 · see citing works
Adoption of digital payment systems in the era of demonetization in India
Sivathanu, B. (2018) · Journal of Science and Technology Policy Management · doi:10.1108/jstpm-07-2017-0033 · Cited by 386 · see citing works
Shao, Z., Zhang, L., Li, X.-T., & Guo, Y. (2019) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2018.100823 · Cited by 384 · see citing works
Point of adoption and beyond. Initial trust and mobile-payment continuation intention
Talwar, S., Dhir, A., Khalil, A., Mohan, G., & Islam, A. K. M. N. (2020) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2020.102086 · Cited by 363 · see citing works
An investigation of users’ continuance intention towards mobile banking in China
Yuan, S., Liu, Y., Yao, R., & Liu, J. (2014) · Information Development · doi:10.1177/0266666914522140 · Cited by 361 · see citing works
Lim, S. H., Kim, D. J., Hur, Y., & Park, K. (2018) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2018.1507132 · Cited by 354 · see citing works
Understanding the determinants of mobile banking continuance usage intention
Foroughi, B., Iranmanesh, M., & Hyun, S. S. (2019) · Journal of Enterprise Information Management · doi:10.1108/jeim-10-2018-0237 · Cited by 340 · see citing works
An integrated framework for the adoption and continuance intention to use mobile payment apps
Humbani, M., & Wiese, M. (2019) · International Journal of Bank Marketing · doi:10.1108/ijbm-03-2018-0072 · Cited by 327 · see citing works
Examining the effects of trust in leaders: A bases-and-foci approach
Yang, J., & Mossholder, K. W. (2009) · The Leadership Quarterly · doi:10.1016/j.leaqua.2009.10.004 · Cited by 310 · see citing works
Lew, S., Tan, G. W., Loh, X.-M., Hew, J.-J., & Ooi, K. (2020) · Technology in Society · doi:10.1016/j.techsoc.2020.101430 · Cited by 305 · see citing works
The impact of post-adoption beliefs on the continued use of health apps
Cho, J. (2015) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2015.12.016 · Cited by 277 · see citing works
Daragmeh, A., Sági, J., & Zéman, Z. (2021) · Journal of Open Innovation Technology Market and Complexity · doi:10.3390/joitmc7020132 · Cited by 270 · see citing works
Drivers of mobile payment acceptance: The impact of network externalities
Ajao, Q. M., & Abu-Shanab, E. A. (2015) · Information Systems Frontiers · doi:10.1007/s10796-015-9598-6 · Cited by 252 · see citing works
Rahi, S., Khan, M. M., & Alghizzawi, M. (2020) · International Journal of Quality & Reliability Management · doi:10.1108/ijqrm-03-2020-0074 · Cited by 248 · see citing works
Towards a holistic analysis of mobile payments: A multiple perspectives approach
Ondruš, J., & Pigneur, Y. (2006) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2005.09.003 · Cited by 225 · see citing works
Mobile taxi booking application service’s continuance usage intention by users
Weng, G. S., Zailani, S. H. M., Iranmanesh, M., & Hyun, S. S. (2017) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2017.07.023 · Cited by 214 · see citing works
User behaviour in QR mobile payment system: the QR Payment Acceptance Model
Liébana-Cabanillas, F. J., de Luna, I. R., & Montoro-Ríos, F. J. (2015) · Technology Analysis and Strategic Management · doi:10.1080/09537325.2015.1047757 · Cited by 213 · see citing works
Understanding post-adoption behaviors of e-service users in the context of online travel services
Li, H., & Yong, L. (2014) · Information & Management · doi:10.1016/j.im.2014.07.004 · Cited by 207 · see citing works
Pal, A., Herath, T. C., Dé, R., & Rao, H. R. (2020) · Information Technology for Development · doi:10.1080/02681102.2019.1701969 · Cited by 173 · see citing works
An empirical examination of users' post-adoption behaviour of mobile services
Zhou, T. (2010) · Behaviour and Information Technology · doi:10.1080/0144929x.2010.543702 · Cited by 165 · see citing works
Kapoor, K. K., Dwivedi, Y. K., & Williams, M. D. (2014) · Information Systems Frontiers · doi:10.1007/s10796-014-9484-7 · Cited by 161 · see citing works
Jia, Q., Guo, Y., & Barnes, S. J. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.10.022 · Cited by 156 · see citing works
Yang, Y., & Wang, X. (2019) · Computers & Education · doi:10.1016/j.compedu.2019.01.015 · Cited by 156 · see citing works
Hassan, H. E., & Wood, V. R. (2019) · Telematics and Informatics · doi:10.1016/j.tele.2019.101312 · Cited by 156 · see citing works
Gaps in customer satisfaction with digital wallets: challenge for sustainability
Bagla, R. K., & Sancheti, V. (2018) · Journal of Management Development · doi:10.1108/jmd-04-2017-0144 · Cited by 151 · see citing works
Mobile payments in India: the privacy factor
Sinha, M., Majra, H., Hutchins, J., & Saxena, R. (2018) · International Journal of Bank Marketing · doi:10.1108/ijbm-05-2017-0099 · Cited by 149 · see citing works
AN EXAMINATION OF THE DETERMINANTS OF MOBILE SHOPPING CONTINUANCE
Hung, M.-C., Yang, S.-T., & Hsieh, T.-C. (2012) · Nanhua University Institutional Repository · Cited by 137 · see citing works
Examining actual consumer usage of E-wallet: A case study of big data analytics
Teng, S., & Khong, K. W. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106778 · Cited by 137 · see citing works
Examining consumers’ usage intention of contactless payment systems
Karjaluoto, H., Shaikh, A. A., Leppäniemi, M., & Luomala, R. (2019) · International Journal of Bank Marketing · doi:10.1108/ijbm-04-2019-0155 · Cited by 136 · see citing works
Understanding bike sharing use over time by employing extended technology continuance theory
Cheng, P., Ouyang, Z., & Liu, Y. (2019) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2019.04.013 · Cited by 133 · see citing works
The study of behavioral intention for mobile commerce: via integrated model of TAM and TTF
Shih, Y., & Chen, C. (2011) · Quality & Quantity · doi:10.1007/s11135-011-9579-x · Cited by 107 · see citing works
How do post-usage factors and espoused cultural values impact mobile payment continuation?
Lu, J., Wei, J. C., Yu, C., & Liu, C. (2016) · Behaviour and Information Technology · doi:10.1080/0144929x.2016.1208773 · Cited by 103 · see citing works
E-satisfaction and continuance intention: The moderator role of online ratings
Tran, L. T. T., Pham, L. M. T., & Le, L. T. (2018) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2018.07.011 · Cited by 101 · see citing works
The continuance usage intention of Alipay
Khayer, A., & Bao, Y. (2019) · The Bottom Line Managing Library Finances · doi:10.1108/bl-07-2019-0097 · Cited by 97 · see citing works
Chatterjee, S., Bhattacharjee, K. K., Tsai, C., & Agrawal, A. K. (2021) · Quality & Quantity · doi:10.1007/s11135-021-01100-2 · Cited by 95 · see citing works
Emotions and continued usage of mobile applications
Ding, Y., & Chai, K. (2015) · Industrial Management & Data Systems · doi:10.1108/imds-11-2014-0338 · Cited by 91 · see citing works
Zadeh, A. V., Ramayah, T., Hanifah, H. M., Kurnia, S., & Mahmud, I. (2020) · Information & Management · doi:10.1016/j.im.2020.103386 · Cited by 90 · see citing works
Self-citationEMR continuance usage intention of healthcare professionals
Gilani, M. S., Iranmanesh, M., Nikbin, D., & Zailani, S. H. M. (2016) · Informatics for Health and Social Care · doi:10.3109/17538157.2016.1160245 · Cited by 82 · see citing works
Hew, J.-J. (2016) · Telematics and Informatics · doi:10.1016/j.tele.2016.04.003 · Cited by 80 · see citing works
Consumers’ acceptance and use of plastic money in Harare, Zimbabwe
Makanyeza, C., & Mutambayashata, S. (2018) · International Journal of Bank Marketing · doi:10.1108/ijbm-03-2017-0044 · Cited by 65 · see citing works
Chávez-Herting, D., Pros, R. C., & Tarrida, A. C. (2020) · Interactive Learning Environments · doi:10.1080/10494820.2020.1799021 · Cited by 60 · see citing works
An Examination of the Determinants of Organizational Structure
Hsu, C.-K., Marsh, R. M., & Mannari, H. (1983) · American Journal of Sociology · doi:10.1086/227766 · Cited by 58 · see citing works
A review of contextual factors affecting mobile payment adoption and use
Pal, A., Dé, R., Herath, T. C., & Rao, H. R. (2019) · Journal of Banking and Financial Technology · doi:10.1007/s42786-018-00005-3 · Cited by 58 · see citing works
Privacy and the Internet of Things−An experiment in discrete choice
Goad, D., Collins, A. T., & Gal, U. (2020) · Information & Management · doi:10.1016/j.im.2020.103292 · Cited by 54 · see citing works
Special Digital Monies: The Design of Alipay and WeChat Wallet for Mobile Payment Practices in China
Kow, Y. M., Gui, X., & Cheng, W. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-68059-0_9 · Cited by 51 · see citing works
Measuring the Effectiveness of E-Wallet in Malaysia
(2018) · doi:10.1007/978-3-319-96803-2_5 · Cited by 45 · see citing works
Zadeh, A. V., Ramayah, T., & Hanifah, H. M. (2018) · Kybernetes · doi:10.1108/k-05-2018-0226 · Cited by 34 · see citing works
Self-citationSafety Technology Adoption: Predicting Intention to Use Car Dashcams in an Emerging Country
Zadeh, A. V., Ng, S.-X., Hanifah, H. M., Teoh, A. P., & Nawaser, K. (2021) · International Journal of Innovation and Technology Management · doi:10.1142/s021987702150022x · Cited by 33 · see citing works
Self-citationKnowledge leakage, an Achilles’ heel of knowledge sharing
Zadeh, A. V., Hanifah, H. M., Foroughi, B., et al. (2019) · Eurasian economic review : · doi:10.1007/s40821-019-00128-7 · Cited by 27 · see citing works
Self-citationWhat are the affordances and constraints of handheld devices for learning in higher education
Song, Y. (2011) · British Journal of Educational Technology · doi:10.1111/j.1467-8535.2011.01233.x · Cited by 24 · see citing works
Modelling internet security software usage among undergraduate students
Zadeh, A. V., Ramayah, T., Wong, W. P., & Hanifah, H. M. (2017) · VINE Journal of Information and Knowledge Management Systems · doi:10.1108/vjikms-09-2016-0052 · Cited by 24 · see citing works
Self-citationExamining Social Networking O2O Apps User Loyalty
Hsu, C., & Lin, J. C. (2018) · Journal of Computer Information Systems · doi:10.1080/08874417.2018.1535261 · Cited by 21 · see citing works
The research of factors influencing advanced medical robot use
Hung, C.-L. (2020) · Quality & Quantity · doi:10.1007/s11135-020-01007-4 · Cited by 18 · see citing works
Exploring the adoption of mobile internet services by socioeconomically disadvantaged people
Ma, D., Du, J. T., Cen, Y., & Wu, P. (2016) · Aslib Journal of Information Management · doi:10.1108/ajim-03-2016-0027 · Cited by 16 · see citing works
Lu, D. (2019) · The New Scientist · doi:10.1016/s0262-4079(19)30061-2 · Cited by 2 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Tiwari, C. K., Bhat, M. A., Khan, S. T., Subramaniam, R., & Khan, M. A. I. (2024) · Interactive Technology and Smart Education · doi:10.1108/itse-04-2023-0061 · Cited by 315 · see citing works
Fintech Adoption Drivers for Innovation for SMEs in Indonesia
Nugraha, D. P., Setiawan, B., Nathan, R. J., & Fekete-Farkas, M. (2022) · Journal of Open Innovation: Technology, Market, and Complexity · doi:10.3390/joitmc8040208 · Cited by 188 · see citing works
- Authors
- Abdul-Halim, N.-A., Vafaei-Zadeh, A., Hanifah, H., Teoh, A. P., & Nawaser, K.
- Affiliations
- Universiti Sains Malaysia (MY)
- Universidad de Lima (PE)
- Venue
- Quality & Quantity
- Published
- 2021-11-09
- Volume
- 56
- Issue
- 5
- Pages
- 3413-3439
- ISSN
- 0033-5177 (ISSN-L)
- 1573-7845
- PMC
- PMC8576795
- OpenAlex
- W3212040528
- Cited by
- 138
- References
- 75
- Citations by year
- 2026: 22 · 2025: 26 · 2024: 42 · 2023: 34 · 2022: 13 · 2021: 1
- FWCI
- 19.22
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Quality & Quantity (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, cc-by-nc-sa)
- Funders
- Webe Digital Sdn Bhd (304/PPAMC/6501220/W110)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior and Marketing Influence
- Keywords
- digital wallets, continuance usage intention, technology continuance theory, trust, habit, operational constraints, perceived usefulness, perceived ease of use, user satisfaction, user attitudes, Malaysian consumers
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review