The DOI matches its Crossref record; 199 of the 199 references it cites were found in a registry or an index.
See now, act now: How to interact with customers to enhance social commerce engagement?
Abstract
Abstract Although live social commerce apps have emerged as a marketing channel recently, live social commerce, as a relatively new phenomenon, has attracted little attention. The authors aim to explore the effect of live interactions on social commerce engagement based on the stimulus–organism–response paradigm and the moderating effect of susceptibility to informative influence. The findings show that live interactions (i.e., personalization, responsiveness, entertainment, mutuality, perceived control) positively affect perceived usefulness and negatively impact perceived risk and psychological distance, promoting social commerce engagement. The results provide theoretical insights on live interactions and social e-commerce and contribute managerial implications for practitioners.
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Cited by
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Metadata
- Authors
- Xue, J., Liang, X., Xie, T., & Wang, H.
- Venue
- Information & Management
- Publisher
- Elsevier BV
- Published
- 2020-09
- Volume
- 57
- Issue
- 6
- Pages
- 103324
- ISSN
- 0378-7206 (ISSN-L)
- OpenAlex
- W3029601627
- Cited by
- 414
- References
- 199
- FWCI
- 54.53
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- Funders
- National Natural Science Foundation of China (71832015, 71572207)
- Natural Science Foundation of Guangdong Province (2018A030310005)
- China Postdoctoral Science Foundation (2019M663348)
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- Xue, J., Liang, X., Xie, T., & Wang, H. (2020). See now, act now: How to interact with customers to enhance social commerce engagement? Information & Management. https://doi.org/10.1016/j.im.2020.103324
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.