The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Predicting consumer decisions to adopt mobile commerce: Cross country empirical examination between China and Malaysia
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Citations
Cites
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
Cultures and Organizations: Software of the Mind.
Triandis, H. C., & Hofstede, G. (1993) · Administrative Science Quarterly · doi:10.2307/2393257 · Cited by 17,696
Wu, J.-H., & Wang, S.-C. (2005) · Information & Management · doi:10.1016/j.im.2004.07.001 · Cited by 2,284
A Review of the Predictors, Linkages, and Biases in IT Innovation Adoption Research
Jeyaraj, A., Rottman, J. W., & Lacity, M. C. (2006) · Journal of Information Technology · doi:10.1057/palgrave.jit.2000056 · Cited by 1,136
Exploring factors affecting the adoption of mobile commerce in Singapore
Yang, K. C. C. (2005) · Telematics and Informatics · doi:10.1016/j.tele.2004.11.003 · Cited by 656
What drives Malaysian m-commerce adoption? An empirical analysis
Tsu Wei, T., Marthandan, G., Yee‐Loong Chong, A., Ooi, K., & Arumugam, S. (2009) · Industrial Management & Data Systems · doi:10.1108/02635570910939399 · Cited by 550
Self-citationOnline banking adoption: an empirical analysis
Yee‐Loong Chong, A., Ooi, K., Lin, B., & Tan, B. (2010) · International Journal of Bank Marketing · doi:10.1108/02652321011054963 · Cited by 343
Self-citation
Cited by
Understanding the attitude and intention to use smartphone chatbots for shopping
Kasilingam, D. L. (2020) · Technology in Society · doi:10.1016/j.techsoc.2020.101280 · Cited by 636
A SEM-neural network approach for predicting antecedents of m-commerce acceptance
Liébana-Cabanillas, F., Marinković, V., & Kalinić, Z. (2017) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2016.10.008 · Cited by 583
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
Predicting m-commerce adoption determinants: A neural network approach
Chong, A. Y.-L. (2013) · Expert Systems with Applications · doi:10.1016/j.eswa.2012.07.068 · Cited by 454
Self-citationFaqih, K. M. S., & Jaradat, M.-I. R. M. (2015) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2014.09.006 · Cited by 403
Metadata
- Authors
- Chong, A. Y.-L., Chan, F. T. S., & Ooi, K.-B.
- Venue
- Decision Support Systems
- Publisher
- Elsevier BV
- Published
- 2012-04
- Volume
- 53
- Issue
- 1
- Pages
- 34-43
- ISSN
- 0167-9236 (ISSN-L)
- OpenAlex
- W2438449495
- Cited by
- 584
- References
- 7
- FWCI
- 35.27
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Predicting consumer decisions to adopt mobile commerce: Cross country empirical examination between China and Malaysia. https://app.cochat.ai/papers/10.1016/j.dss.2011.12.001
- The paper
- Chong, A. Y.-L., Chan, F. T. S., & Ooi, K.-B. (2012). Predicting consumer decisions to adopt mobile commerce: Cross country empirical examination between China and Malaysia. Decision Support Systems. https://doi.org/10.1016/j.dss.2011.12.001
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.
