A meta-model of customer brand loyalty and its antecedents
Kathleen Desveaud,
Timo Mandler and
Martin Eisend
Journal of Business Research, 2024, vol. 176, issue C
Abstract:
This research consolidates existing knowledge about customer brand loyalty and its antecedents by developing and empirically validating an integrative meta-model. First, with a grounded theory literature review of 199 prior studies, the authors identify 275 antecedents of loyalty that they aggregate into four meta-concepts: (1) brand offer, (2) consumer–brand alignment, (3) brand experience, and (4) consumer–brand bonding. Second, the authors theoretically derive four alternative models that describe the interrelations of these meta-concepts and loyalty and empirically identify the most suitable one, using meta-analytical structural equation modeling. The findings, based on 1,261 effect sizes from 557 studies, provide support for a two-stage process, in which brand experience and consumer–brand bonding have direct effects on loyalty and mediate the effects of brand offer and consumer–brand alignment that precede them. The meta-model and associated empirical generalizations lay a robust, consolidated foundation for continued efforts to understand how to create and nurture loyalty.
Keywords: Brand loyalty; Customer loyalty; Systematic literature review; Meta-analysis (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0148296324000936
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jbrese:v:176:y:2024:i:c:s0148296324000936
DOI: 10.1016/j.jbusres.2024.114589
Access Statistics for this article
Journal of Business Research is currently edited by A. G. Woodside
More articles in Journal of Business Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().