Examining user-generated content, service failure recovery and customer–brand relationships: an exploration through commitment-trust theory
Purpose
User-generated content (UGC) and service failure have attracted considerable marketing inquiry over the last two decades. Previous studies primarily focused on the outcome of service failure and the impact of UGC on perceived failure severity. We depart from previous studies by examining the moderating role of UGC on the relationship between service failure recovery (SFR) and customer–brand relationship.
Design/methodology/approach
Building on commitment-trust theory and from a phenomenological hermeneutical perspective, we explore this phenomenon through the interpretation of 60 in-depth interviews with millennials from three European countries: Italy, France and the UK. An analysis of the data was conducted using a qualitative approach to understand the main constructs and relationships derived from the data.
Findings
This study conceptualises four distinct moderating characteristics of UGC in the SFR process: satisfaction with experience and brand, dissatisfaction with experience and brand, satisfaction with brand and dissatisfaction with brand. The insights from our responsiveness, empathetic response, counterfactual thinking and brand salience (RECB) framework contribute to research on UGC and shed light on the relationship between SFR and consumer–brand relationships in the fashion industry.
Originality/value
Overall, this study demonstrates that customer interactions with UGC significantly affect their responses to, and relationships with, a brand. The proposed framework opens up interesting avenues for future research on the moderating role of UGC on the relationship between SFR and customer–brand relationships.
History
Refereed
- Yes
Number of pages
39Publication title
Internet ResearchISSN
0959-3845External DOI
Publisher
EmeraldFile version
- Accepted version
- Published version
Legacy Faculty/School/Department
Business & LawAffiliated with
- School of Management Outputs