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Cited by 523

The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.

Developing a general extended UTAUT model for M-payment adoption

Al-Saedi, Karrar, Al-Emran, Mostafa, Ramayah, T., Abusham, Eimad·2020·Technology in Society
DOI 10.1016/j.techsoc.2020.101293
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Abstract

Abstract To determine the most frequent factors that extended the Unified Theory of Acceptance and Use of Technology (UTAUT) in the context of Mobile payment (M-payment) adoption, a quantitative meta-analysis approach of 25 studies was undertaken. The results indicated that perceived risk, perceived trust, perceived cost, and self-efficacy were the most frequent factors that achieved significant results in the surveyed studies. Accordingly, this study is an attempt to extend the UTAUT model with these factors; proposing a general extended UTAUT model for M-payment adoption. The proposed model is validated using the partial least squares-structural equation modeling (PLS-SEM) approach. The data were collected from a total of 436 M-payment users in Oman. The results indicated that the best predictor of M-payment users’ intention to use the M-payment system is performance expectancy, followed by social influence, effort expectancy, perceived trust, perceived cost, and self-efficacy, respectively. Nonetheless, perceived risk was found to have an insignificant negative impact on the behavioral intention to use M-payment systems. The conclusions derived from this study enhance the understanding of the factors determining the adoption of M-payment systems in Oman.

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Metadata

Authors
Al-Saedi, K., Al-Emran, M., Ramayah, T., & Abusham, E.
Venue
Technology in Society
Publisher
Elsevier BV
Published
2020-08
Volume
62
Pages
101293
ISSN
0160-791X (ISSN-L)
DOI
10.1016/j.techsoc.2020.101293
OpenAlex
W3036333768
Cited by
523
References
72
FWCI
61.08
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Developing a general extended UTAUT model for M-payment adoption. https://app.cochat.ai/papers/10.1016/j.techsoc.2020.101293
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Al-Saedi, K., Al-Emran, M., Ramayah, T., & Abusham, E. (2020). Developing a general extended UTAUT model for M-payment adoption. Technology in Society. https://doi.org/10.1016/j.techsoc.2020.101293

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.