The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Who will attract you? Similarity effect among users on online purchase intention of movie tickets in the social shopping context
Abstract
Abstract With the popularity and growth of social networking sites, users often rely on the advice and recommendations from online friends when deciding to purchase movie tickets. The relationship between users' reviews and movie ticket purchase intention in the context of social media has been demonstrated in several studies, but few studies have explored users' perceptions of the similarity effect on online purchase intention or the psychological mechanisms of the similarity effect. From an interpersonal relationship perspective, we propose that similarity (including external and internal similarity) is an important cue for users who are deciding to purchase movie tickets online. Built on SOR (Stimuli-Organism-Response) Model and drawn upon trust transfer and information technology acceptance theories, we examined whether similarity could enhance users' online purchase intention of movie tickets. The results of a PLS analysis demonstrated that both external and internal similarity significantly affected users’ perceived usefulness, enjoyment and trust transfer, which in turn exerted profound impacts on users’ social shopping behaviors.
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.
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
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
Reconsidering Baron and Kenny: myths and truths about mediation analysis
Zhao, X., Lynch, J. G., & Chen, Q. (2010) · Journal of Consumer Research · doi:10.1086/651257 · Cited by 12,583
Extrinsic and Intrinsic Motivation to Use Computers in the Workplace 1
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.1992.tb00945.x · Cited by 6,231
Liang, H., Saraf, N., Hu, Q., & Xue, Y. (2007) · MIS Quarterly · doi:10.2307/25148781 · Cited by 3,921
Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2019) · Information Systems Frontiers · doi:10.1007/s10796-017-9774-y · Cited by 2,137
Heart and Mind in Conflict: The Interplay of Affect and Cognition in Consumer Decision Making
Shiv, B., & Fedorikhin, A. (1999) · Journal of Consumer Research · doi:10.1086/209563 · Cited by 2,044
Understanding the influence of national culture on the development of trust
Doney, P. M., Cannon, J. P., & Mullen, M. R. (1998) · The Academy of Management Review · doi:10.2307/259297 · Cited by 1,844
Harrison-Walker, L. J. (2001) · Journal of Service Research · doi:10.1177/109467050141006 · Cited by 1,583
Ahuja, M. K., & Bennett, J. (2005) · MIS Quarterly · doi:10.2307/25148691 · Cited by 818
Cited by
Lăzăroiu, G., Neguriţă, O., Grecu, I., Grecu, G., & Mitran, P. C. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.00890 · Cited by 432
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
Trust and Consumers’ Purchase Intention in a Social Commerce Platform: A Meta-Analytic Approach
Wang, J., Shahzad, F., Ahmad, Z., Abdullah, M., & Hassan, N. M. (2022) · Sage Open · doi:10.1177/21582440221091262 · Cited by 164
Cheng, Z., Shao, B., & Zhang, Y. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.812579 · Cited by 57
Wandoko, W., & Panggati, I. E. (2022) · Journal of Relationship Marketing · doi:10.1080/15332667.2022.2035198 · Cited by 48
Metadata
- Authors
- Fu, S., Yan, Q., & Feng, G. C.
- Venue
- International Journal of Information Management
- Publisher
- Elsevier BV
- Published
- 2018-06
- Volume
- 40
- Pages
- 88-102
- ISSN
- 0268-4012 (ISSN-L)
- OpenAlex
- W2793409165
- Cited by
- 158
- References
- 12
- FWCI
- 33.03
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Who will attract you? Similarity effect among users on online purchase intention of movie tickets in the social shopping context. https://app.cochat.ai/papers/10.1016/j.ijinfomgt.2018.01.013
- The paper
- Fu, S., Yan, Q., & Feng, G. C. (2018). Who will attract you? Similarity effect among users on online purchase intention of movie tickets in the social shopping context. International Journal of Information Management. https://doi.org/10.1016/j.ijinfomgt.2018.01.013
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.