The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Be creative, my friend! Engaging users on Instagram by promoting positive emotions
Open accessAbstract
Instagram is emerging as the most influential social network; this phenomenon is especially apparent in the fashion industry. Fashion brands are launching creative campaigns on Instagram to engage their followers. The present study aims to increase the understanding of followers’ engagement by analyzing the consequences of brand publications on Instagram. Taking as a basis the S-O-R framework, brand publications (stimulus) may generate perceptions of creativity and positive emotions in their followers (organism) which, in turn, may influence their affective commitment and interaction intentions (response). Our results, based on data collected from 808 followers of an Instagram fashion brand account, analyzed using structural equation modeling, confirmed that perceived creativity is a crucial aspect of Instagram. In addition, positive emotions and affective commitment act as partial mediators in the relationship between perceived creativity and interaction intentions. These results have interesting implications for both the fashion industry and content generation on Instagram.
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
The commitment-trust theory of relationship marketing
Morgan, R. M., & Hunt, S. D. (1994) · Journal of Marketing · doi:10.1177/002224299405800302 · Cited by 22,355
From Intentions to Actions: A Theory of Planned Behavior
Ajzen, I. (1985) · Action Control · doi:10.1007/978-3-642-69746-3_2 · Cited by 19,057
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
Intention—Behavior Relations: A Conceptual and Empirical Review
Sheeran, P. (2002) · European Review of Social Psychology · doi:10.1080/14792772143000003 · Cited by 3,688
Moorman, C., Zaltman, G., & Deshpande, R. (1992) · Journal of Marketing Research · doi:10.1177/002224379202900303 · Cited by 1,901
Gustafsson, A., Johnson, M. D., & Roos, I. (2005) · Journal of Marketing · doi:10.1509/jmkg.2005.69.4.210 · Cited by 1,576
Statistical analysis of sets of congeneric tests
Jöreskog, K. G. (1971) · Psychometrika · doi:10.1007/bf02291393 · Cited by 1,481
Influencers on Instagram: Antecedents and consequences of opinion leadership
Casaló, L. V., Flavián, C., & Ibáñez-Sánchez, S. (2020) · Journal of Business Research · doi:10.1016/j.jbusres.2018.07.005 · Cited by 1,336
Self-citationLichtenstein, D. R., Netemeyer, R. G., & Burton, S. (1990) · Journal of Marketing · doi:10.1177/002224299005400305 · Cited by 1,054
Cited by
‘Instagram made Me buy it’: Generation Z impulse purchases in fashion industry
Djafarova, E., & Bowes, T. (2021) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2020.102345 · Cited by 650
Almost human? A comparative case study on the social media presence of virtual influencers
Arsenyan, J., & Mirowska, A. (2021) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2021.102694 · Cited by 566
Zhou, S., Blazquez, M., McCormick, H., & Barnes, L. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2021.05.011 · Cited by 181
AI advertising: An overview and guidelines
Ford, J., Jain, V., Wadhwani, K., & Gupta, D. G. (2023) · Journal of Business Research · doi:10.1016/j.jbusres.2023.114124 · Cited by 176
Bastrygina, T., Lim, W. M., Jopp, R., & Weissmann, M. A. (2024) · Journal of Hospitality and Tourism Management · doi:10.1016/j.jhtm.2024.01.007 · Cited by 108
Metadata
- Authors
- Casaló, L. V., Flavián, C., & Ibáñez-Sánchez, S.
- Venue
- Journal of Business Research
- Publisher
- Elsevier BV
- Published
- 2021-06
- Volume
- 130
- Pages
- 416-425
- ISSN
- 0148-2963 (ISSN-L)
- OpenAlex
- W3008711511
- Cited by
- 239
- References
- 12
- FWCI
- 39.66
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Be creative, my friend! Engaging users on Instagram by promoting positive emotions. https://app.cochat.ai/papers/10.1016/j.jbusres.2020.02.014
- The paper
- Casaló, L. V., Flavián, C., & Ibáñez-Sánchez, S. (2021). Be creative, my friend! Engaging users on Instagram by promoting positive emotions. Journal of Business Research. https://doi.org/10.1016/j.jbusres.2020.02.014
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.
