The DOI matches its Crossref record; 121 of the 121 references it cites were found in a registry or an index.
Examining adoption of mobile internet in Saudi Arabia: Extending TAM with perceived enjoyment, innovativeness and trust
Open accessAbstract
Abstract Mobile internet represents a breakthrough technology that has derived much attention from mobile organizations and services providers in the Kingdom of Saudi Arabia (KSA). 1 However, the level of acceptance of mobile internet in the KSA is still below the level of ambition. This is in addition to the fact that there is a considerable need to discover the main factors shaping Saudi customers' intention and adoption of such a mobile system. For this reason, this study is conducted in the hope of providing further understanding about the adoption of mobile internet in the KSA. The extension version of Technology Acceptance Model TAM 2 with perceived enjoyment was adopted as a theoretical foundation of the current study model. This was expanded by considering two additional factors: innovativeness and trust. The main empirical data collected through questionnaires was analysed using structural equation modelling (SEM). 3 Perceived usefulness, perceived enjoyment, trust, and innovativeness are statistically supported to have a significant impact on the Saudi customer intention to adopt mobile internet. Further discussion regarding the main contribution as well as research limitations and future directions are presented at the end of this paper.
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1 retracted
Shin, D. (2009) · International Journal of Human-Computer Interaction · doi:10.1080/10447310902963951 · Cited by 86
RetractedEvaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
Tabachnick, B. G., & Fidell, L. S. (1983) · Cited by 79,867
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035
On the Evaluation of Structural Equation Models
Bagozzi, R. P., & Yi, Y. (1988) · Journal of the Academy of Marketing Science · doi:10.1007/bf02723327 · Cited by 26,163
User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989) · Management Science · doi:10.1287/mnsc.35.8.982 · Cited by 25,709
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012) · MIS Quarterly · doi:10.2307/41410412 · Cited by 15,756
Multivariate data analysis : a global perspective
Hair, J. F. (2010) · Cited by 12,255
Trust and TAM in Online Shopping: An Integrated Model1
Gefen, D., Karahanna, E., & Straub, D. W. (2003) · MIS Quarterly · doi:10.2307/30036519 · Cited by 8,635
Cited by
Albayati, H., Kim, S. K., & Rho, J. J. (2020) · Technology in Society · doi:10.1016/j.techsoc.2020.101320 · Cited by 464
Tamilmani, K., Rana, N. P., Prakasam, N., & Dwivedi, Y. K. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.01.008 · Cited by 371
Self-citationAlbayati, H. (2024) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2024.100203 · Cited by 188
Lin, X., Suanpong, K., Ruangkanjanases, A., Lim, Y.-T., & Chen, S.-C. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.634911 · Cited by 38
Metadata
- Authors
- Alalwan, A. A., Baabdullah, A. M., Rana, N. P., Tamilmani, K., & Dwivedi, Y. K.
- Venue
- Technology in Society
- Publisher
- Elsevier BV
- Published
- 2018-11
- Volume
- 55
- Pages
- 100-110
- ISSN
- 0160-791X (ISSN-L)
- OpenAlex
- W2810869501
- Cited by
- 444
- References
- 121
- FWCI
- 57.74
- Type
- journal article
- Language
- en
- Open access
- green
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- Alalwan, A. A., Baabdullah, A. M., Rana, N. P., Tamilmani, K., & Dwivedi, Y. K. (2018). Examining adoption of mobile internet in Saudi Arabia: Extending TAM with perceived enjoyment, innovativeness and trust. Technology in Society. https://doi.org/10.1016/j.techsoc.2018.06.007
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