The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Social commerce research: An integrated view
Open accessOverview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Business intelligence and analytics: from big data to big impact
Chen, H., Chiang, R. H. L., & Storey, V. C. (2012) · MIS Quarterly · doi:10.2307/41703503 · Cited by 6,250
Cited by
From Marketing Mix to Relationship Marketing: Towards a Paradigm Shift in Marketing
Grönroos, C. (1994) · Management Decision · doi:10.1108/00251749410054774 · Cited by 1,410
Hajli, N., Sims, J., Zadeh, A. H., & Richard, M.-O. (2017) · Journal of Business Research · doi:10.1016/j.jbusres.2016.10.004 · Cited by 644
“Working out for likes”: An empirical study on social influence in exercise gamification
Hamari, J., & Koivisto, J. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.04.018 · Cited by 473
The influence of perceived value on purchase intention in social commerce context
Gan, C., & Wang, W. (2017) · Internet Research · doi:10.1108/intr-06-2016-0164 · Cited by 442
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
Website features that gave rise to social commerce: A historical analysis
Gonçalves Curty, R., & Zhang, P. (2013) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2013.04.001 · Cited by 199
Self-citationFactors influencing consumer intention in social commerce adoption.
Akman, I., & Mishra, A. (2017) · Information Technology & People · doi:10.1108/itp-01-2016-0006 · Cited by 158
Handoyo, S. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e29714 · Cited by 133
The impact of positive valence and negative valence on social commerce purchase intention
Hajli, N. (2019) · Information Technology & People · doi:10.1108/itp-02-2018-0099 · Cited by 112
How Social Interaction Affects Purchase Intention in Social Commerce: A Cultural Perspective
Yin, X., Wang, H., Xia, Q., & Gu, Q. (2019) · Sustainability · doi:10.3390/su11082423 · Cited by 134
“As a quickly emerged area of inquiry for both practitioners and researchers, social commerce is a potential paradigm shift in e-commerce [2], and its role in promoting the sustainability of business model has been widely recognized [1,3].”
BackgroundGvili, Y., & Levy, S. (2021) · Journal of Marketing Communications · doi:10.1080/13527266.2019.1633552 · Cited by 83
Consumer intentions to engage in s-commerce: a cross-national study.
Bianchi, C., Andrews, L., Wiese, M., & Fazal-E-Hasan, S. (2017) · Journal of Marketing Management · doi:10.1080/0267257x.2017.1319406 · Cited by 68
Artificial Intelligence Tool Penetration in Business: Adoption, Challenges and Fears
Schlögl, S., Postulka, C., Bernsteiner, R., & Ploder, C. (2019) · Communications in Computer and Information Science · doi:10.1007/978-3-030-21451-7_22 · Cited by 52
Sudaryanto, S., Hanim, A., Rosediana Dewi, I., Kartikasari, A. D., & Rusdiyanto, R. (2025) · Cogent Business & Management · doi:10.1080/23311975.2025.2503093 · Cited by 21
Metadata
- Authors
- Zhou, L., Zhang, P., & Zimmermann, H.-D.
- Venue
- Electronic Commerce Research and Applications
- Publisher
- Elsevier BV
- Published
- 2013-04
- Volume
- 12
- Issue
- 2
- Pages
- 61-68
- ISSN
- 1567-4223 (ISSN-L)
- OpenAlex
- W2013716681
- Cited by
- 436
- References
- 1
- FWCI
- 81.40
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
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.