The DOI matches its Crossref record; 100 of the 100 references it cites were found in a registry or an index.
How the live streaming commerce viewers process the persuasive message: An ELM perspective and the moderating effect of mindfulness
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Citations
Cites
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
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
Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941
Statistical power analyses using G∗Power 3.1: tests for correlation and regression analyses
Faul, F., Erdfelder, E., Buchner, A., & Lang, A.-G. (2009) · Behavior Research Methods · doi:10.3758/brm.41.4.1149 · Cited by 37,615
Structural equation models with unobservable variables and measurement error: Algebra and statistics
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800313 · Cited by 13,287
(2014) · DigitalCommons - Kennesaw State University (Kennesaw State University) · Cited by 12,785
The Elaboration Likelihood Model of Persuasion
Petty, R. E., & Cacioppo, J. T. (1986) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(08)60214-2 · Cited by 8,822
Modern Methods for Business Research
(1998) · doi:10.4324/9781410604385 · Cited by 6,534
Ohanian, R. (1990) · Journal of Advertising · doi:10.1080/00913367.1990.10673191 · Cited by 4,043
Liang, H., Saraf, N., Hu, Q., & Xue, Y. (2007) · MIS Quarterly · doi:10.2307/25148781 · Cited by 3,921
Cited by
Determinants of Intention to Use ChatGPT for Educational Purposes: Findings from PLS-SEM and fsQCA
Foroughi, B., Senali, M. G., Iranmanesh, M., Khanfar, A., Ghobakhloo, M., Annamalai, N., & Naghmeh-Abbaspour, B. (2024) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2023.2226495 · Cited by 426
Gao, W., Jiang, N., & Guo, Q. (2023) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2023.103356 · Cited by 267
Characteristics and roles of streamers in e-commerce live streaming
Zhang, S., Huang, C., Li, X., & Ren, A. (2022) · The Service Industries Journal · doi:10.1080/02642069.2022.2068530 · Cited by 130
Metadata
- Authors
- Gao, X., Xu, X.-Y., Tayyab, S. M. U., & Li, Q.
- Venue
- Electronic Commerce Research and Applications
- Publisher
- Elsevier BV
- Published
- 2021-09
- Volume
- 49
- Pages
- 101087
- ISSN
- 1567-4223 (ISSN-L)
- OpenAlex
- W3195556436
- Cited by
- 283
- References
- 100
- FWCI
- 59.72
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: How the live streaming commerce viewers process the persuasive message: An ELM perspective and the moderating effect of mindfulness. https://app.cochat.ai/papers/10.1016/j.elerap.2021.101087
- The paper
- Gao, X., Xu, X.-Y., Tayyab, S. M. U., & Li, Q. (2021). How the live streaming commerce viewers process the persuasive message: An ELM perspective and the moderating effect of mindfulness. Electronic Commerce Research and Applications. https://doi.org/10.1016/j.elerap.2021.101087
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.