Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 285

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

User experience in social commerce: in friends we trust

Shin, Dong-Hee·2013·Behaviour & Information Technology

Abstract

Social commerce (s-commerce), a new form of commerce that involves using social media, has been rapidly developing. While the adoption of social technology is well studied, new theoretical development is needed to explain the specific characteristics of s-commerce and their interactions with the user. This study analyses consumer behaviours in s-commerce, focusing on the role of social influence in s-commerce. A model is created to validate the relationship between the subjective norm and trust, social support, attitude, and intention. The results of the model show that the subjective norm is a key behavioural antecedent to use s-commerce. In the extended model, the moderating and mediating effects of the subjective norm on relationships among variables were found to be significant. The new set of variables adapted from previous research can be s-commerce-specific, acting as factors that enhance attitudes and behavioural intentions in s-commerce. The implications of the findings are discussed in terms of building a theory of social interaction and providing practical insights into developing user-centered s-commerce as a platform.

Overview

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1080/0144929x.2012.692167

Cites

6 of 6 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 6 references

Research works printed but not linked: 48

  1. Bailey C. M., 2010, Chadwick Martin Bailey Research Report
  2. 10.1037/0022-3514.51.6.1173 · DOI · Paper page
  3. 10.1016/j.joep.2009.10.001 · DOI · Paper page
  4. 10.1037/0033-2909.107.2.238 · DOI · Paper page
  5. Brown S. A., 2005, MIS Quarterly, 29, 399, 10.2307/25148690 · DOI · Paper page
  6. 10.1002/cb.235 · DOI
  7. 10.1080/01449290801892492 · DOI · Paper page
  8. 10.2307/1910133 · DOI · Paper page
  9. 10.1080/01449290802506562 · DOI
  10. 10.1016/j.elerap.2007.02.001 · DOI · Paper page
  11. 10.1080/01449290600874956 · DOI
  12. 10.1080/01449291003656362 · DOI
  13. 10.1521/scpq.17.3.213.20883 · DOI · Paper page
  14. 10.2307/3151312 · DOI · Paper page
  15. 10.1016/j.im.2007.01.001 · DOI · Paper page
  16. Hair J., 1995, Multivariate data analysis with readings
  17. Ho Y.T., 2010, Effect of social support in the intention to continuous use and social commerce in microblog
  18. 10.1016/j.chb.2005.09.001 · DOI · Paper page
  19. 10.1080/0144929X.2010.549513 · DOI
  20. Joreskog K. G., 1996, LISREL 8
  21. Jupiter Research, 2011, Social commerce
  22. 10.1080/0144929X.2011.563792 · DOI
  23. 10.1080/0144929021000009054 · DOI
  24. 10.1080/01449290600801959 · DOI
  25. Lee Y.-H., 2011, Behaviour & Information Technology
  26. 10.1016/S0378-7206(00)00059-8 · DOI
  27. Marsden P., 2010, S-commerce: Monetizing social media
  28. McAfee A. P., 2006, Sloan Management Review, 47, 21
  29. Nutley M., 2010, Marketing Week, 20, 8
  30. 10.1177/1094670504271151 · DOI
  31. 10.1080/0144929X.2011.553742 · DOI
  32. Rad A. A., 2010, Conference on Information Systems Applied Research 2010 CONISAR Proceedings Nashville Tennessee, 3, 1
  33. S-commerce Report, 2007, Published by E-consultancy, July 2007
  34. Serenko K., 2006, Journal of Information Technology Management, 17, 20
  35. Shin D., 2008, CyberPsychology and Behavior, 11, 12
  36. 10.1016/j.intcom.2007.04.001 · DOI
  37. 10.1016/j.intcom.2008.04.001 · DOI
  38. 10.1016/j.intcom.2010.05.001 · DOI · Paper page
  39. 10.1080/01449290701814232 · DOI
  40. 10.1509/jmkr.47.2.215 · DOI · Paper page
  41. Svendsen G. B., 2011, Behaviour & Information Technology
  42. Van der Heijden H., 2004, MIS Quarterly, 28, 695, 10.2307/25148660 · DOI · Paper page
  43. 10.1080/01449291003752930 · DOI
  44. 10.2307/3250981 · DOI · Paper page
  45. 10.1080/01449290600961910 · DOI
  46. 10.1080/0144929X.2010.517272 · DOI
  47. Zeng F., 2009, Journal of Interactive Advertising, 10, 1, 10.1080/15252019.2009.10722159 · DOI · Paper page
  48. 10.1080/00223891.1990.9674095 · DOI · Paper page

Cited by

Metadata

Authors
Shin, D.-H.
Venue
Behaviour & Information Technology
Published
2013-01
Volume
32
Issue
1
Pages
52-67
ISSN
  • 0144-929X (ISSN-L)
  • 1362-3001
OpenAlex
W4242626507
Cited by
285
References
6
FWCI
16.87
Type
journal article
Language
en
Open access
closed

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.