The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Consumer – brand engagement on Facebook: liking and commenting behaviors
Abstract
Purpose: – The purpose of this paper is to study factors affecting consumers’ liking and commenting behavior on Facebook brand pages, and to analyze the mediating role of mode of interaction on relationships between personality traits and liking/commenting behavior. Design/methodology/approach: – Data were collected using an online national survey from 269 respondents, ages between 18 and 32. The hypotheses were tested using structural equation modeling. Findings: – Results support nine of ten hypotheses with significant relationships between analyzed constructs. It was found that two different modes of interaction acted as mediators between three personality traits and liking/commenting behavior on Facebook. Research limitations/implications: – This study only included liking and commenting behavior on Facebook. Future studies could extend the conceptual model by including sharing behavior and other personality traits that were not included in this conceptual model. Practical implications: – The findings have several implications for brand managers with respect to their social media strategies and give them guidance in achieving better customer engagement on Facebook. This research is an important step in understanding the factors affecting consumers’ Facebook behavior and useful for practitioners intending to use Facebook as part of their marketing strategy. Originality/value: – The study provides a comprehensive framework to understand consumer engagement on Facebook by including specific types of Facebook behavior, three personality traits and two modes of interaction that consumers have in social media.
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Cites
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
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
An Introduction to the Five‐Factor Model and Its Applications
McCrae, R. R., & John, O. P. (1992) · Journal of Personality · doi:10.1111/j.1467-6494.1992.tb00970.x · Cited by 6,835
Validation of the five-factor model of personality across instruments and observers.
McCrae, R. R., & Costa, P. T. (1987) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.52.1.81 · Cited by 6,404
Computer-Mediated Communication: Impersonal, Interpersonal, and Hyperpersonal Interaction
WALTHER, J. B. (1996) · Communication Research · doi:10.1177/009365096023001001 · Cited by 4,798
Customer engagement behavior: Theoretical foundations and research directions
van Doorn, J., Lemon, K. N., Mittal, V., Nass, S., Pick, D., Pirner, P., & Verhoef, P. C. (2010) · Journal of Service Research · doi:10.1177/1094670510375599 · Cited by 3,536
Normal personality assessment in clinical practice: the NEO personality inventory
Costa, P. T., & McCrae, R. R. (1992) · Psychological Assessment · doi:10.1037/1040-3590.4.1.5 · Cited by 3,414
College students' social networking experiences on Facebook
Pempek, T. A., Yermolayeva, Y. A., & Calvert, S. L. (2009) · Journal of Applied Developmental Psychology · doi:10.1016/j.appdev.2008.12.010 · Cited by 2,081
Who interacts on the Web?: The intersection of users’ personality and social media use
Correa, T., Hinsley, A. W., & de Zúñiga, H. G. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2009.09.003 · Cited by 1,915
Personality and motivations associated with Facebook use
Ross, C., Orr, E. S., Sisic, M., Arseneault, J. M., Simmering, M. G., & Orr, R. R. (2009) · Computers in Human Behavior · doi:10.1016/j.chb.2008.12.024 · Cited by 1,728
Cited by
Consumer behavior in social commerce: A literature review
Zhang, K. Z. K., & Benyoucef, M. (2016) · Decision Support Systems · doi:10.1016/j.dss.2016.04.001 · Cited by 631
Gao, Q., & Feng, C. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.06.022 · Cited by 219
Content marketing in e-commerce platforms in the internet celebrity economy
Geng, R., Wang, S., Chen, X., Song, D., & Yu, J. (2020) · Industrial Management & Data Systems · doi:10.1108/imds-05-2019-0270 · Cited by 205
Schultz, C. D. (2017) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2017.09.005 · Cited by 191
Marques, I. R., Casais, B., & Camilleri, M. A. (2021) · Strategic Corporate Communication in the Digital Age · doi:10.1108/978-1-80071-264-520211008 · Cited by 75
Metadata
- Authors
- Kabadayi, S., & Price, K.
- Venue
- Journal of Research in Interactive Marketing
- Publisher
- Emerald
- Published
- 2014-08-11
- Volume
- 8
- Issue
- 3
- Pages
- 203-223
- ISSN
- 2040-7122 (ISSN-L)
- OpenAlex
- W1979333515
- Cited by
- 288
- References
- 18
- FWCI
- 56.21
- Type
- journal article
- Language
- en
- Open access
- closed
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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.