The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.
How online social ties and product-related risks influence purchase intentions: A Facebook experiment
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Citations
Cites
Baron, R. M., & Kenny, D. A. (1986) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.51.6.1173 · Cited by 91,532
Granovetter, M. S. (1973) · American Journal of Sociology · doi:10.1086/225469 · Cited by 40,491
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
Herne, H., Cooley, W. W., & Lohnes, P. R. (1973) · Journal of the Royal Statistical Society. Series A (General) · doi:10.2307/2344428 · Cited by 35,697
(1997) · Chemometrics in Environmental Analysis · doi:10.1002/352760216x.ch5 · Cited by 18,653
The Effect of Word of Mouth on Sales: Online Book Reviews
Chevalier, J. A., & Mayzlin, D. (2006) · Journal of Marketing Research · doi:10.1509/jmkr.43.3.345 · Cited by 6,003
Ohanian, R. (1990) · Journal of Advertising · doi:10.1080/00913367.1990.10673191 · Cited by 4,043
Testing moderator and mediator effects in counseling psychology research.
Frazier, P. A., Tix, A. P., & Barron, K. E. (2004) · Journal of Counseling Psychology · doi:10.1037/0022-0167.51.1.115 · Cited by 4,037 · cited 1×
“A moderation effect is often sought if a causal relationship between an independent variable and a dependent variable is weak or not found empirically (Baron and Kenny 1986, Bennett 2000, Chaplin 1991, Frazier et al. 2004).”
BackgroundThe Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms
Dellarocas, C. (2003) · Management Science · doi:10.1287/mnsc.49.10.1407.17308 · Cited by 3,433
Leave, C. (1994) · Journal of the Operational Research Society · doi:10.1057/jors.1994.133 · Cited by 3,309
Cited by
Consumer behavior in social commerce: A literature review
Zhang, K. Z. K., & Benyoucef, M. (2016) · Decision Support Systems · doi:10.1016/j.dss.2016.04.001 · Cited by 631
Marketing strategies, perceived risks, and consumer trust in online buying behaviour
Pappas, N. (2016) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2015.11.007 · Cited by 461
Understanding social commerce: A systematic literature review and directions for further research
Busalim, A. H., & Hussin, A. R. C. (2016) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2016.06.005 · Cited by 369
Zhu, L., Li, H., Wang, F.-K., He, W., & Tian, Z. (2020) · Aslib Journal of Information Management · doi:10.1108/ajim-11-2019-0308 · Cited by 369
Bai, Y., Yao, Z., & Dou, Y.-F. (2015) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2015.04.011 · Cited by 280
Metadata
- Authors
- Wang, J.-C., & Chang, C.-H.
- Venue
- Electronic Commerce Research and Applications
- Publisher
- Elsevier BV
- Published
- 2013-09
- Volume
- 12
- Issue
- 5
- Pages
- 337-346
- ISSN
- 1567-4223 (ISSN-L)
- OpenAlex
- W1993525950
- Cited by
- 259
- References
- 68
- FWCI
- 28.85
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: How online social ties and product-related risks influence purchase intentions: A Facebook experiment. https://app.cochat.ai/papers/10.1016/j.elerap.2013.03.003
- The paper
- Wang, J.-C., & Chang, C.-H. (2013). How online social ties and product-related risks influence purchase intentions: A Facebook experiment. Electronic Commerce Research and Applications. https://doi.org/10.1016/j.elerap.2013.03.003
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.