Cited by 2,058Customer Service Quality and LoyaltyService and Product InnovationAI in Service Interactions

A Model of Customer Satisfaction with Service Encounters Involving Failure and Recovery

Smith, Amy K., Bolton, Ruth N., Wagner, Janet·1999·Journal of Marketing Research

Abstract

Amy K. Smith, Ruth N. Bolton, Janet Wagner, A Model of Customer Satisfaction with Service Encounters Involving Failure and Recovery, Journal of Marketing Research, Vol. 36, No. 3 (Aug., 1999), pp. 356-372

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Crossref · 10.2307/3152082

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8 of 8 references verified0 citation errors · 0 not checkable

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  • The importance of different justice dimensions remains unclear; some studies show distributive justice is the most important determinant of post-complaint satisfaction, while others find it weaker than procedural and/or interactional justice.

    “Similarly, the importance of different justice dimensions remains unclear.”

    From A Meta-Analysis of Organizational Complaint Handling and Customer Responses (2011) · cites this paper as Smith, Bolton, and Wagner 1999

  • Justice perceptions completely mediate the relationship between organizational responses and post-complaint satisfaction.

    “It is argued and empirically shown that justice perceptions (distributive, procedural, and interactional justice) completely mediate the relationship between organizational responses and post-complaint satisfaction (Karande, Magnini, and Tam 2007; Maxham III and Netemeyer 2003; Smith, Bolton, and Wagner 1999).”

    From A Meta-Analysis of Organizational Complaint Handling and Customer Responses (2011) · cites this paper as Smith, Bolton, and Wagner 1999

  • Customers who perceive the organizational response to a complaint as fair display higher levels of post-complaint satisfaction than those who perceive the response as unfair.

    “Justice theory is used in more recent studies, which provide evidence that customers, who perceive the organizational response to a complaint as fair, display higher levels of post-complaint satisfaction than those who perceive the response as unfair (Maxham III and Netemeyer 2002; Patterson, Cowley, and Prasongsukarn 2006; Smith, Bolton, and Wagner 1999).”

    From A Meta-Analysis of Organizational Complaint Handling and Customer Responses (2011) · cites this paper as Smith, Bolton, and Wagner 1999

  • Each organizational response may affect the three justice dimensions.

    “Research provides evidence that each organizational response may affect the three justice dimensions (Homburg and Fu ¨ rst 2005; Smith, Bolton, and Wagner 1999).”

    From A Meta-Analysis of Organizational Complaint Handling and Customer Responses (2011) · cites this paper as Smith, Bolton, and Wagner 1999

  • Extant studies cover only some of the relevant constructs instead of conjointly analyzing the full range of relationships in an overall model.

    “First, extant studies cover only some of the relevant constructs (e.g., Liao 2007; Maxham III and Netemeyer 2002; Smith, Bolton, and Wagner 1999) instead of conjointly analyzing the full range of relationships in an overall model.”

    From A Meta-Analysis of Organizational Complaint Handling and Customer Responses (2011) · cites this paper as Smith, Bolton, and Wagner 1999

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Authors
Smith, A. K., Bolton, R. N., & Wagner, J.
Affiliations
  • George Washington University (US)
  • University of Oklahoma (US)
Venue
Journal of Marketing Research
Publisher
JSTOR
Published
1999-08
Volume
36
Issue
3
Pages
356
ISSN
0022-2437 (ISSN-L)
OpenAlex
W1988487435
Cited by
2,058
References
8
Citations by year
2026: 16 · 2025: 15 · 2024: 19 · 2023: 18 · 2022: 20 · 2021: 84 · 2020: 105 · 2019: 91 · 2018: 107 · 2017: 137 · 2016: 131 · 2015: 131 · 2014: 172 · 2013: 128 · 2012: 142
FWCI
42.57
Type
journal article
Language
en
Open access
closed
Locations
Journal of Marketing Research (publishedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Customer Service Quality and Loyalty
  • Social Sciences › Business, Management and Accounting › Marketing › Service and Product Innovation
  • Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
Keywords
customer satisfaction, service failure, service recovery, service encounters, satisfaction model, service quality

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