Investigating the antecedents of African fast food customers' loyalty: A self-congruity perspective
Rania A.M. Shamah,
Michela C. Mason,
Andrea Moretti and
Francesco Raggiotto
Journal of Business Research, 2018, vol. 86, issue C, 446-456
Abstract:
Does customer self-congruity drive loyalty in fast-food restaurants? A literature-based model has been tested using Structural Equation Modeling, on a sample of 911 North African fast-food customers (Egypt and Morocco). The model estimates both the direct and indirect relationships between self-congruity and loyalty. The indirect relationships estimated in the model are mediated by some key restaurant cues derived from existing literature on fast-food restaurants. The analysis is carried out in a quite underexplored context (North African markets), that needs to be further explored by academic research. Results clearly show the dominant role of self-congruity as an antecedent of loyalty in fast-food restaurants, and the prominent role of food as a mediator in the relationship self-congruity/loyalty. Findings should suggest managers the need to consider self-congruity as a key determinant of customer positioning.
Keywords: Self-congruity; Fast-food; North Africa; McDonald's; Restaurant cues; Loyalty (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0148296317301662
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:86:y:2018:i:c:p:446-456
DOI: 10.1016/j.jbusres.2017.05.020
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 ().