The DOI matches its Crossref record; 109 of the 109 references it cites were found in a registry or an index.
The effect of social media communication on consumer perceptions of brands
Abstract
Researchers and brand managers have limited understanding of the effects social media communication has on how consumers perceive brands. We investigated 504 Facebook users in order to observe the impact of firm-created and user-generated (UG) social media communication on brand equity (BE), brand attitude (BA) and purchase intention (PI) by using a standardized online survey throughout Poland. To test the conceptual model, we analyzed 60 brands across three different industries: non-alcoholic beverages, clothing and mobile network operators. When analyzing the data, we applied the structural equation modeling technique to both investigate the interplay of firm-created and user-generated social media communication and examine industry-specific differences. The results of the empirical studies showed that user-generated social media communication had a positive influence on both brand equity and brand attitude, whereas firm-created social media communication affected only brand attitude. Both brand equity and brand attitude were shown to have a positive influence on purchase intention. In addition, we assessed measurement invariance using a multi-group structural modeling equation. The findings revealed that the proposed measurement model was invariant across the researched industries. However, structural path differences were detected across the models.
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
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.2307/3151312 · Cited by 109,314
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
(1975) · PhilPapers (PhilPapers Foundation) · Cited by 36,737
Herne, H., Cooley, W. W., & Lohnes, P. R. (1973) · Journal of the Royal Statistical Society. Series A (General) · doi:10.2307/2344428 · Cited by 35,697
On the Evaluation of Structural Equation Models
Bagozzi, R. P., & Yi, Y. (1988) · Journal of the Academy of Marketing Science · doi:10.1007/bf02723327 · Cited by 26,163
(1980) · Medical Entomology and Zoology · Cited by 25,810
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
Users of the world, unite! The challenges and opportunities of Social Media
Kaplan, A. M., & Haenlein, M. (2010) · Business Horizons · doi:10.1016/j.bushor.2009.09.003 · Cited by 17,875
Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance
Cheung, G. W., & Rensvold, R. B. (2002) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1207/s15328007sem0902_5 · Cited by 16,280
Conceptualizing, Measuring, and Managing Customer-Based Brand Equity
Keller, K. L. (1993) · Journal of Marketing · doi:10.1177/002224299305700101 · Cited by 14,686
Cited by
A stage to engage: Social media use and corporate reputation
Dijkmans, C., Kerkhof, P., & Beukeboom, C. J. (2015) · Tourism Management · doi:10.1016/j.tourman.2014.09.005 · Cited by 515
A comparison of social media marketing between B2B, B2C and mixed business models
Iankova, S., Davies, I., Archer-Brown, C., Marder, B., & Yau, A. (2019) · Industrial Marketing Management · doi:10.1016/j.indmarman.2018.01.001 · Cited by 338
Wang, X.-W., Cao, Y.-M., & Park, C. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.07.018 · Cited by 236
Customer retention and the mediating role of perceived value in retail industry
Hanaysha, J. R. (2018) · World Journal of Entrepreneurship, Management and Sustainable Development · doi:10.1108/wjemsd-06-2017-0035 · Cited by 108
Johnson, B. K., Potocki, B., & Veldhuis, J. (2019) · Journal of Computer-Mediated Communication · doi:10.1093/jcmc/zmz003 · Cited by 72
How event information is trusted and shared on social media: a uses and gratification perspective
Kim, S.-E., Kim, H. L., & Lee, S. (2021) · Journal of Travel & Tourism Marketing · doi:10.1080/10548408.2021.1943600 · Cited by 53
Impact of online social media activities on marketing of green products
Gupta, M., & Syed, A. A. (2022) · International Journal of Organizational Analysis · doi:10.1108/ijoa-02-2020-2037 · Cited by 46
Koay, K. Y., Cheah, C. W., & Yap, J. Y. (2024) · Journal of Relationship Marketing · doi:10.1080/15332667.2023.2216373 · Cited by 43
Kim, J., Leung, X. Y., & McKneely, B. (2023) · Journal of Fashion Marketing and Management: An International Journal · doi:10.1108/jfmm-05-2021-0126 · Cited by 26
Metadata
- Authors
- Schivinski, B., & Dabrowski, D.
- Venue
- Journal of Marketing Communications
- Publisher
- Informa UK Limited
- Published
- 2014-01-20
- Volume
- 22
- Issue
- 2
- Pages
- 189-214
- ISSN
- 1352-7266 (ISSN-L)
- 1466-4445
- OpenAlex
- W2133085133
- Cited by
- 940
- References
- 109
- FWCI
- 97.28
- 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.
