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Examining the mediating effect of positive moods on trust repair in e‐commerce

Bibliographic Data

ID12420808
AuthorsYing‐Hueih Chen (Providence University, corresponding author), Jyh‐Jeng Wu (0000-0002-4703-6428, National United University), Hsin‐Tzu Chang (National United University)
Year2013
Volume23
Issue3
Pages355-371
Publication date2013-05-21
Open AccessYes
TypeARTICLE
VenueInternet Research (JOURNAL)
Journal identifiersISSN: 1066-2243 • E-ISSN: 2054-5657
PublisherEmerald Publishing Limited (PUBLISHER • GB)
DOI10.1108/10662241311331772
OpenAlexW2056333969
LanguageEN
Citations received17
References cited29

Purpose The purpose of this research is to investigate the impact of causal attributions (locus, stability, and controllability attributes) on trust violations and the coping strategies (affective, functional, and informational initiatives) involved in trust repair on building positive moods within the context of e‐commerce. Design/methodology/approach The research model is tested using data collected from 513 active e‐shoppers. Structure equation modeling is employed to verify and validate the research model. Findings Results show that strategies for repairing trust are effective in building positive moods among consumers, while causes of negative events have a negative impact on consumer mood. Furthermore, positive moods significantly influence the rebuilding of consumer trust. This research demonstrates that positive mood is an important mediator in trust repair. Practical implications The research results provide insight into how e‐vendors can ease the tension associated with trust‐related disputes. Originality/value This study represents one of the few attempts to integrate the attribution theory with trust research and to outline the strategies of post‐encounter trust rebuilding process following a trust violation

Attribution · Context (archaeology · Mood · Originality · Customer Service Quality and Loyalty · Job Satisfaction and Organizational Behavior · Psychology · Social Psychology · Technology Adoption and User Behaviour

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Citations per year1.42
Citation span2014 - 2026 (13)
Highly citedNo

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