Turning Setbacks into Smiles: Exploring the Role of Self-Mocking Strategies in Consumers’ Recovery Satisfaction After E-Commerce Service Failures

In today’s competitive environment of online service industries, particularly e-commerce, meeting consumer expectations is essential for service providers to ensure service quality. However, service failures are unavoidable, leading to unfavorable consequences for businesses. Understanding the mechanisms for customer recovery after negative service experiences is crucial. Using cognitive–emotional personality systems theory and benign violation theory, this study constructed a theoretical model. A total of 351 samples were collected through a situational simulation experiment for a linear regression analysis. A self-mocking response strategy positively influenced brand trust through perceived brand authenticity regarding the dimensions of credibility, integrity, and symbolism. Simultaneously, brand trust was identified as a key driver of post-recovery satisfaction. This study proposes a chain mediation model, which incorporates perceived authenticity and brand trust, to fully comprehend the mechanisms underlying consumers’ satisfaction after service recovery. Our findings provide empirical evidence for the effects of self-mockery on post-recovery satisfaction, as well as suggestions for marketers seeking efficient means to meet consumers’ emotional and cognitive demands during service recovery situations.

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Publication Details

Journal
Journal of theoretical and applied electronic commerce research
Published
2025-07-16
DOI
https://doi.org/10.3390/jtaer20030183
Citations
2
Primary Topic
Consumer Retail Behavior Studies
Type
article
Field-Weighted Citation Impact
4.15
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article

Turning Setbacks into Smiles: Exploring the Role of Self-Mocking Strategies in Consumers’ Recovery Satisfaction After E-Commerce Service Failures

Jiale Huang, Qiwei Pang, Yali Zhang
2 citations
Journal of theoretical and applied electronic commerce research
Consumer Retail Behavior Studies
4.15
article

Turning Setbacks into Smiles: Exploring the Role of Self-Mocking Strategies in Consumers’ Recovery Satisfaction After E-Commerce Service Failures

Jiale Huang, Qiwei Pang, Yali Zhang
article en
2 citations

Abstract

In today’s competitive environment of online service industries, particularly e-commerce, meeting consumer expectations is essential for service providers to ensure service quality. However, service failures are unavoidable, leading to unfavorable consequences for businesses. Understanding the mechanisms for customer recovery after negative service experiences is crucial. Using cognitive–emotional personality systems theory and benign violation theory, this study constructed a theoretical model. A total of 351 samples were collected through a situational simulation experiment for a linear regression analysis. A self-mocking response strategy positively influenced brand trust through perceived brand authenticity regarding the dimensions of credibility, integrity, and symbolism. Simultaneously, brand trust was identified as a key driver of post-recovery satisfaction. This study proposes a chain mediation model, which incorporates perceived authenticity and brand trust, to fully comprehend the mechanisms underlying consumers’ satisfaction after service recovery. Our findings provide empirical evidence for the effects of self-mockery on post-recovery satisfaction, as well as suggestions for marketers seeking efficient means to meet consumers’ emotional and cognitive demands during service recovery situations.

Journal of theoretical and applied electronic commerce researchVol. 20(3)
Ningbo University (CN), Ministry of Economy (MK), University of Nottingham Ningbo China (CN), Ningbo University of Technology (CN), Jeonbuk National University (KR)
Openalex Percentile: Top 6%
Consumer Retail Behavior Studies
4.15
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Turning Setbacks into Smiles: Exploring the Role of Self-Mocking Strategies in Consumers’ Recovery Satisfaction After E-Commerce Service Failures — Jiale Huang, Qiwei Pang, et al. · Journal of theoretical and applied electronic commerce research (2025) | TGRS Research Map | TGRS