The DOI matches its Crossref record; 86 of the 86 references it cites were found in a registry or an index.
Limitations to the rapid adoption of M-payment services: Understanding the impact of privacy risk on M-Payment services
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Citations
Cites
1 retracted
RETRACTED: Modeling the Interaction of Users and Mobile Payment System: Conceptual Framework
Shin, D. (2010) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2010.502098 · Cited by 152
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
Podsakoff, 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
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
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
Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · An Integrated Approach to Communication Theory and Research · doi:10.4324/9780203710753-35 · Cited by 37,322
From Intentions to Actions: A Theory of Planned Behavior
Ajzen, I. (1985) · Action Control · doi:10.1007/978-3-642-69746-3_2 · Cited by 19,057
The use of partial least squares path modeling in international marketing
Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009) · Advances in International Marketing · doi:10.1108/s1474-7979(2009)0000020014 · Cited by 10,926
Amazon's Mechanical Turk: A New Source of Inexpensive, Yet High-Quality, Data?
Buhrmester, M., Kwang, T., & Gosling, S. D. (2011) · Perspectives on Psychological Science · doi:10.1177/1745691610393980 · Cited by 9,996
Cited by
Impact of digital surge during COVID-19 pandemic: A viewpoint on research and practice
De’, R., Pandey, N., & Pal, A. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102171 · Cited by 1,110
Sharma, S. K., & Sharma, M. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.09.013 · Cited by 655
An innovation resistance theory perspective on mobile payment solutions
Kaur, P., Dhir, A., Singh, N., Sahu, G., & Almotairi, M. (2020) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2020.102059 · Cited by 487
Shao, Z., Zhang, L., Li, X., & Guo, Y. (2019) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2018.100823 · Cited by 423
The value proposition of food delivery apps from the perspective of theory of consumption value
Kaur, P., Dhir, A., Talwar, S., & Ghuman, K. (2021) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-05-2020-0477 · Cited by 377
Metadata
- Authors
- Johnson, V. L., Kiser, A., Washington, R., & Torres, R.
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2018-02
- Volume
- 79
- Pages
- 111-122
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W2766015027
- Cited by
- 441
- References
- 86
- FWCI
- 38.95
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Limitations to the rapid adoption of M-payment services: Understanding the impact of privacy risk on M-Payment services. https://app.cochat.ai/papers/10.1016/j.chb.2017.10.035
- The paper
- Johnson, V. L., Kiser, A., Washington, R., & Torres, R. (2018). Limitations to the rapid adoption of M-payment services: Understanding the impact of privacy risk on M-Payment services. Computers in Human Behavior. https://doi.org/10.1016/j.chb.2017.10.035
Data sources
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.
