The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Social Commerce: A Contingency Framework for Assessing Marketing Potential
Abstract
A key issue for marketers resulting from the dramatic rise of social media is how it can be leveraged to generate value for firms. Whereas the importance of social media for brand management and customer relationship management is widely recognized, it is unclear whether social media can also help companies market and sell products. Extant discussions of social commerce present a variety of perspectives, but the core issue remains unresolved. This paper aims to make two contributions. First, to address the lack of clarity in the literature regarding the meaning and domain of social commerce, the paper offers a definition stemming from important research streams in marketing. This definition allows for both a broad (covering all steps of the consumer decision process) and a narrow (focusing on the purchase act itself) construal of social commerce. Second, we build on this definition and develop a contingency framework for assessing the marketing potential that social commerce has to offer to firms. Implications for researchers and managers, based on the proposed definition and framework, are also discussed.
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Cites
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Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004) · Journal of Interactive Marketing · doi:10.1002/dir.10073 · Cited by 5,916
Self-citationUses and Gratifications Research
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How Does Brand-related User-generated Content Differ across YouTube, Facebook, and Twitter?
Smith, A. N., Fischer, E., & Yongjian, C. (2012) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2012.01.002 · Cited by 1,044
A multi-stage model of word-of-mouth influence through viral marketing
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Smith, D., Menon, S., & Sivakumar, K. (2005) · Journal of Interactive Marketing · doi:10.1002/dir.20041 · Cited by 683
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Cited by
Li, F., Larimo, J., & Leonidou, L. C. (2021) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-020-00733-3 · Cited by 996
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
How do product recommendations affect impulse buying? An empirical study on WeChat social commerce
Chen, Y., Lu, Y., Wang, B., & Pan, Z. (2019) · Information & Management · doi:10.1016/j.im.2018.09.002 · Cited by 370
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
Metadata
- Authors
- Yadav, M. S., de Valck, K., Hennig-Thurau, T., Hoffman, D. L., & Spann, M.
- Venue
- Journal of Interactive Marketing
- Publisher
- SAGE Publications
- Published
- 2013-11
- Volume
- 27
- Issue
- 4
- Pages
- 311-323
- ISSN
- 1094-9968 (ISSN-L)
- 1520-6653
- OpenAlex
- W1999579825
- Cited by
- 478
- References
- 10
- FWCI
- 84.49
- Type
- journal article
- Language
- en
- Open access
- closed
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- Yadav, M. S., de Valck, K., Hennig-Thurau, T., Hoffman, D. L., & Spann, M. (2013). Social Commerce: A Contingency Framework for Assessing Marketing Potential. Journal of Interactive Marketing. https://doi.org/10.1016/j.intmar.2013.09.001
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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.
