The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Customer engagement and the relationship between involvement, engagement, self-brand connection and brand usage intent
Abstract
Consumers rely on social media to make travel decisions, and actively engage in relationships with tourism brands on social media. Our research contribution is threefold. First, we validate the consumer brand engagement (CBE) scale proposed by Hollebeek, Glynn, and Brodie (2014). Second, we use social exchange theory to replicate their proposed model to relate CBE to consumer involvement, self-brand connection, and brand usage. Third, we contribute to tourism marketing theory and practice. The CBE scale exhibited exceptional fit in the tourism context. The models confirmed that all three dimensions of CBE had significant effects on self-brand connection and brand usage intent. Tourism organizations may utilize these findings to foster stronger connections with consumers and increase the likelihood of consumers using their sites by focusing on strategies to develop CBE.
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Cites
Service-dominant logic: continuing the evolution
Vargo, S. L., & Lusch, R. F. (2008) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-007-0069-6 · Cited by 7,824
Oliver, R. L. (1999) · Journal of Marketing · doi:10.1177/00222429990634s105 · Cited by 4,898
Consumer Brand Engagement in Social Media: Conceptualization, Scale Development and Validation
Hollebeek, L. D., Glynn, M. S., & Brodie, R. J. (2014) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2013.12.002 · Cited by 3,276
The Elaboration Likelihood Model of Persuasion
Petty, R. E., & Cacioppo, J. T. (1986) · Communication and Persuasion · doi:10.1007/978-1-4612-4964-1_1 · Cited by 3,202
Customer engagement: exploring customer relationships beyond purchase.
Vivek, S. D., Beatty, S. E., & Morgan, R. M. (2012) · Journal of Marketing Theory and Practice · doi:10.2753/mtp1069-6679200201 · Cited by 2,089
Social Media in Tourism and Hospitality: A Literature Review
Leung, D., Law, R., van Hoof, H., & Buhalis, D. (2013) · Journal of Travel & Tourism Marketing · doi:10.1080/10548408.2013.750919 · Cited by 1,557
Collaborating to create: The Internet as a platform for customer engagement in product innovation
Sawhney, M., Verona, G., & Prandelli, E. (2005) · Journal of Interactive Marketing · doi:10.1002/dir.20046 · Cited by 1,406
Undervalued or overvalued customers: Capturing total customer engagement value
Kumar, V., Aksoy, L., Donkers, B., Venkatesan, R., Wiesel, T., & Tillmanns, S. (2010) · Journal of Service Research · doi:10.1177/1094670510375602 · Cited by 1,382
The Process of Customer Engagement: A Conceptual Framework
Bowden, J. L.-H. (2009) · Journal of Marketing Theory and Practice · doi:10.2753/mtp1069-6679170105 · Cited by 1,365
Filieri, R., Alguezaui, S., & McLeay, F. (2015) · Tourism Management · doi:10.1016/j.tourman.2015.05.007 · Cited by 882
Cited by
Hollebeek, L. D., & Macky, K. (2019) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2018.07.003 · Cited by 978
Customer engagement and social media: Revisiting the past to inform the future
Lim, W. M., & Rasul, T. (2022) · Journal of Business Research · doi:10.1016/j.jbusres.2022.04.068 · Cited by 427
Islam, J. U., Hollebeek, L. D., Rahman, Z., Khan, I., & Rasool, A. (2019) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2019.05.018 · Cited by 406
Li, M.-W., Teng, H.-Y., & Chen, C.-Y. (2020) · Journal of Hospitality and Tourism Management · doi:10.1016/j.jhtm.2020.06.015 · Cited by 348
Tourism-based customer engagement: the construct, antecedents, and consequences
Rather, R. A., Hollebeek, L. D., & Islam, J. U. (2019) · The Service Industries Journal · doi:10.1080/02642069.2019.1570154 · Cited by 308
Metadata
- Authors
- Harrigan, P., Evers, U., Miles, M. P., & Daly, T.
- Venue
- Journal of Business Research
- Publisher
- Elsevier BV
- Published
- 2018-07
- Volume
- 88
- Pages
- 388-396
- ISSN
- 0148-2963 (ISSN-L)
- OpenAlex
- W2771487487
- Cited by
- 517
- References
- 13
- FWCI
- 67.09
- Type
- journal article
- Language
- en
- Open access
- closed
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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.