The dynamic role of rapport on satisfaction–commitment relationship: Testing alternative models

8Citations
Citations of this article
40Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Purpose: This study aims to capture the mediation role of customer–frontline employee rapport on customer satisfaction and affective, calculative and normative commitment by using three alternative models. It also verifies the moderation effect of relationship age on the rapport-satisfaction link in each alternative model. Design/methodology/approach: The survey data collected from bank customers were analyzed using structural equation modeling (SEM) with the partial least square (PLS) method. Findings: Results confirmed rapport as a significant mediator between satisfaction and each of the three types of commitment. Relationship age significantly moderates the links between rapport to affective and normative commitment but not to calculative commitment. Research limitations/implications: Additional findings from “importance–performance analysis” suggest that satisfaction is more import to customers than rapport for developing commitment, so further investigations can reveal the underlying reasons. Also, complementary mediation shows one or more missing mediators, which calls for future research. Practical implications: Managers need to use rapport strategically with customers in different relationship ages to build different types of commitment. Specific tactics to build rapport and possible long run implications for developing affective, calculative and normative commitment have been discussed in the “note to practitioner” section. Originality/value: Using “broaden-and-build” theory, the study extends the literature by confirming the mediation influence of rapport on satisfaction and three types of commitment relationships.

Cite

CITATION STYLE

APA

Fatima, J. K., Mascio, R. D., Quazi, A., & Johns, R. (2020). The dynamic role of rapport on satisfaction–commitment relationship: Testing alternative models. International Journal of Bank Marketing, 38(4), 917–932. https://doi.org/10.1108/IJBM-01-2020-0005

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free