The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Mobile social commerce: The booster for brand loyalty?
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Citations
Cites
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
Statistical Power Analysis for the Behavioral Sciences
Cohen, J. (2013) · doi:10.4324/9780203771587 · Cited by 25,373
Users of the world, unite! The challenges and opportunities of Social Media
Kaplan, A. M., & Haenlein, M. (2010) · Business Horizons · doi:10.1016/j.bushor.2009.09.003 · Cited by 17,875 · cited 3×
“Web 2.0 allows the expansion of knowledge (Gamboa & Gonçalves, 2014), as the contents in Web 2.0 platforms (e.g. wikis and blogs) are modified by participating users on a continuous basis (Kaplan & Haenlein, 2010).”
BackgroundInfluentialA Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions
Oliver, R. L. (1980) · Journal of Marketing Research · doi:10.1177/002224378001700405 · Cited by 14,494
Understanding Information Systems Continuance: An Expectation-Confirmation Model1
Bhattacherjee, A. (2001) · MIS Quarterly · doi:10.2307/3250921 · Cited by 8,767 · cited 8×
“These results are expected, and consistent with Bhattacherjee (2001), Chong (2013), and Thong et al. (2006).”
BackgroundResultInfluentialAn assessment of the use of partial least squares structural equation modeling in marketing research
Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-011-0261-6 · Cited by 8,088
Partial least squares structural equation modeling
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2017) · Handbook of Market Research · doi:10.1007/978-3-319-05542-8_15-1 · Cited by 3,285
Statistical Power Analysis for the Behavioral Sciences
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Lower bounds on sample size in structural equation modeling
Christopher Westland, J. (2010) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2010.07.003 · Cited by 1,846
An Empirical Examination of the Concern for Information Privacy Instrument
Stewart, K. A., & Segars, A. H. (2002) · Information Systems Research · doi:10.1287/isre.13.1.36.97 · Cited by 734
Cited by
Understanding the user satisfaction and loyalty of customer service chatbots
Hsu, C.-L., & Lin, J. C.-C. (2023) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2022.103211 · Cited by 361
The age of mobile social commerce: An Artificial Neural Network analysis on its resistances
Hew, J.-J., Leong, L.-Y., Tan, G. W.-H., Ooi, K.-B., & Lee, V.-H. (2019) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2017.10.007 · Cited by 283
Self-citationLeong, L.-Y., Hew, T.-S., Ooi, K.-B., & Chong, A. Y.-L. (2020) · Journal of Business Research · doi:10.1016/j.jbusres.2019.11.056 · Cited by 266
Self-citationZhu, W., Huang, L., Zhou, X., Li, X., Shi, G., Ying, J., & Wang, C. (2025) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2024.2323277 · Cited by 143
Privacy Concerns and Self-Disclosure in Private and Public Uses of Social Media
Gruzd, A., & Hernández-García, Á. (2018) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2017.0709 · Cited by 97
Metadata
- Authors
- Hew, J.-J., Lee, V.-H., Ooi, K.-B., & Lin, B.
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2016-06
- Volume
- 59
- Pages
- 142-154
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W2523137599
- Cited by
- 192
- References
- 13
- FWCI
- 33.50
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Mobile social commerce: The booster for brand loyalty? https://app.cochat.ai/papers/10.1016/j.chb.2016.01.027
- The paper
- Hew, J.-J., Lee, V.-H., Ooi, K.-B., & Lin, B. (2016). Mobile social commerce: The booster for brand loyalty? Computers in Human Behavior. https://doi.org/10.1016/j.chb.2016.01.027
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.
