The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Drivers of mobile payment acceptance: The impact of network externalities
Open accessAbstract
Mobile payment is an attractive option that has recently boomed because of the advent of smart phones and their applications. Despite the great potential of such technology in simplifying our lives, its uptake remains limited. As the technology acceptance fails to meet expectations, this study aims at providing a better understanding of the factors influencing mobile payment acceptance. Through an empirical investigation that couples the traditional technology acceptance factors with “network externalities” effect. This study hypothesized that performance expectancy, effort expectancy; social influence, trust, and network externality are major factors that influence the intention to use mobile payment. Results indicated that while the traditional acceptance drivers still impact customers’ willingness to adopt mobile payment, network externalities was the most influential driver of mobile payment acceptance. Results also failed to support the influence of effort expectancy. Conclusions and future work propositions are stated at the end.
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Cites
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Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012) · MIS Quarterly · doi:10.2307/41410412 · Cited by 15,756
Back-translation for cross-cultural research.
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E-commerce: the role of familiarity and trust.
Gefen, D. (2000) · Omega · doi:10.1016/s0305-0483(00)00021-9 · Cited by 3,529
Assessing IT Usage: The Role of Prior Experience
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AGE DIFFERENCES IN TECHNOLOGY ADOPTION DECISIONS: IMPLICATIONS FOR A CHANGING WORK FORCE
MORRIS, M. G., & VENKATESH, V. (2000) · Personnel Psychology · doi:10.1111/j.1744-6570.2000.tb00206.x · Cited by 1,723 · cited 1×
“If a user thinks that using a particular innovation will improve his/her performance, he/she is more likely to use it (Morris and Venkatesh 2000).”
BackgroundUnderstanding online purchase intentions: contributions from technology and trust perspectives
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Cited by
Patil, P., Tamilmani, K., Rana, N. P., & Raghavan, V. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102144 · Cited by 820
Tamilmani, K., Rana, N. P., Wamba, S. F., & Dwivedi, R. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102269 · Cited by 660
Developing a general extended UTAUT model for M-payment adoption
Al-Saedi, K., Al-Emran, M., Ramayah, T., & Abusham, E. (2020) · Technology in Society · doi:10.1016/j.techsoc.2020.101293 · Cited by 523
A meta-analysis of antecedents and consequences of trust in mobile commerce
Sarkar, S., Chauhan, S., & Khare, A. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.08.008 · Cited by 375
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
Metadata
- Authors
- Qasim, A., & Abu-Shanab, E.
- Venue
- Information Systems Frontiers
- Published
- 2015-10-01
- Volume
- 18
- Issue
- 5
- Pages
- 1021-1034
- ISSN
- 1387-3326 (ISSN-L)
- 1572-9419
- OpenAlex
- W1960437462
- Cited by
- 251
- References
- 7
- FWCI
- 19.30
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
