The DOI matches its Crossref record; 56 of the 58 references it cites were found in a registry or an index.
An extended UTAUT model to explain the adoption of mobile banking
Abstract
This research attempts to identify the factors leading to the adoption of mobile banking and the degree of influence of each one of the factors in Thailand. It proposes a comprehensive framework that extends the existing UTAUT model with important constructs such as perceived credibility, perceived cost, and perceived convenience. A three-pronged approach, consisting of an extensive review of the literature, expert interviews, and a field survey of mobile banking adoption is put forward. A field survey of respondents was undertaken with both convergent and discriminant validities being conducted. The results of the structural equation modeling show that performance expectancy, effort expectancy, social influence, perceived credibility, perceived convenience, and behavioral intention to use mobile banking posited a positive relationship. Contrary to previous studies, the hypotheses testing perceived that financial cost and facilitation conditions in the adoption of mobile banking were not supported. Discussions and conclusions including academic and practical implications are also presented.
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“it is also documented that other streams of studies reported no significant influence of facilitating conditions on the intention to use a technology [47,48,66].”
From A Study of the Adoption and Implementation of Enterprise Resource Planning (ERP): Identification of Moderators and Mediator (2020) · cites this paper as [48]
Citations
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Cited by
Sorted by citations
Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model
Baabdullah, A. M., Alalwan, A. A., Rana, N. P., Kizgin, H., & Patil, P. P. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.09.002 · Cited by 724
“Furthermore, based on UTAUT, both Bhatiasevi (2016) and Zhou et al. (2010) concluded that PE significantly influences the continuous use of M-Banking.”
BackgroundMethodMerhi, M., Hone, K., & Tarhini, A. (2019) · Technology in Society · doi:10.1016/j.techsoc.2019.101151 · Cited by 555
“…the model was validated in di ff erent countries and contexts such as Internet Technology [41,42], Internet Banking [19,43,44], E-government and Mobile Banking [45,46] among others, albeit oftentimes incompletely by dropping certain of its factors (i.e. Hedonic Motivations, Price value [16].”
MethodAcceptance of mobile banking framework in Pakistan
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Jadil, Y., Rana, N. P., & Dwivedi, Y. K. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2021.04.052 · Cited by 303
What determines tourist adoption of smartphone apps?
Gupta, A., Dogra, N., & GEORGE, B. P. (2018) · Journal of Hospitality and Tourism Technology · doi:10.1108/jhtt-02-2017-0013 · Cited by 277
“Effort expectancy has proved to be a strong predictor of behavioral intentions in several contexts, including internet banking (Martins et al., 2014), m-banking (Bhatiasevi, 2015; Koksal, 2016; Tan and Lau, 2016), mobile applications (Hew et al., 2015) and m-payments (Teo et al., 2015).”
BackgroundInfluential
Metadata
- Authors
- Bhatiasevi, V.
- Affiliations
- Mahidol University (TH)
- Corresponding author
- Bhatiasevi, Veera
- ORCID
- Bhatiasevi, Veera
- Venue
- Information Development
- Publisher
- SAGE Publications
- Published
- 2016-07-09
- Volume
- 32
- Issue
- 4
- Pages
- 799-814
- ISSN
- 0266-6669 (ISSN-L)
- 1741-6469
- OpenAlex
- W2159369755
- Cited by
- 237
- References
- 58
- Citations by year
- 2026: 5 · 2025: 22 · 2024: 26 · 2023: 36 · 2022: 37 · 2021: 43 · 2020: 23 · 2019: 26 · 2018: 9 · 2017: 6 · 2016: 2
- FWCI
- 11.78
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Information Development (publishedVersion)
- 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
- Physical Sciences › Computer Science › Information Systems › User Authentication and Security Systems
- Keywords
- mobile banking, technology adoption, UTAUT model, perceived credibility, perceived convenience, perceived cost, performance expectancy, effort expectancy, social influence, behavioral intention
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