Service Failure and Recovery: The Impact of Relationship Factors on Customer Satisfaction
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Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
When a customer has transacted with a firm many times in the past, the customer becomes acclimated to the consistency of the service provided and expects the regular level of performance to continue.
“When a customer has transacted with a firm many times in the past, a history of service encounters has transpired with the provider, and the customer becomes acclimated to the consistency of the service provided by the organization and expects the regular level of performance to continue in the future (Hess, Ganesan, and Klein 2003).”
From Recovery Voice and Satisfaction After Service Failure: An Experimental Investigation of Mediating and Moderating Factors (2007) · cites this paper as Hess, Ganesan, and Klein 2003
Cites
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Alternative Ways of Assessing Model Fit
Browne, M. W., & Cudeck, R. (1992) · Sociological Methods & Research · doi:10.1177/0049124192021002005 · Cited by 27,200 · see citing works
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Self-citationGoodwin, C., & Ross, I. (1992) · Journal of Business Research · doi:10.1016/0148-2963(92)90014-3 · Cited by 777 · see citing works
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"Migrating" to New Service Providers: Toward a Unifying Framework of Consumers' Switching Behaviors
Bansal, H. S. (2005) · Journal of the Academy of Marketing Science · doi:10.1177/0092070304267928 · Cited by 975 · see citing works
A Meta-Analysis of Organizational Complaint Handling and Customer Responses
Gelbrich, K., & Roschk, H. (2011) · Journal of Service Research · doi:10.1177/1094670510387914 · Cited by 481 · see citing works
Leo, X., & Huh, Y. E. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106520 · Cited by 261 · see citing works
Karande, K., Magnini, V. P., & Tam, L. (2007) · Journal of Service Research · doi:10.1177/1094670507309607 · Cited by 176 · see citing works
Chatbots or me? Consumers’ switching between human agents and conversational agents
Li, C.-Y., & Zhang, J.-T. (2023) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2023.103264 · Cited by 128 · see citing works
A model of customer retention of dissatisfied business services customers
White, L., & Yanamandram, V. (2007) · Managing Service Quality: An International Journal · doi:10.1108/09604520710744317 · Cited by 99 · see citing works
Markovitch, D. G., Stough, R. A., & Huang, D. (2024) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2024.103847 · Cited by 100 · see citing works
The blame shift: Robot service failures hold service firms more accountable
Ryoo, Y., Jeon, Y. A., & Kim, W. (2024) · Journal of Business Research · doi:10.1016/j.jbusres.2023.114360 · Cited by 89 · see citing works
Enhancing service recovery satisfaction with chatbots: The role of humor and informal language
Shams, G., Kim, K. K., & Kim, K. (2024) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2024.103782 · Cited by 55 · see citing works
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Munzel, A. (2015) · Recherche et Applications en Marketing (English Edition) · doi:10.1177/2051570715604155 · Cited by 24 · see citing works
- Authors
- Hess Jr., R. L., Ganesan, S., & Klein, N. M.
- Affiliations
- University of Arizona (US)
- Virginia Tech (US)
- ORCID
- Ganesan, Shankar
- Venue
- Journal of the Academy of Marketing Science
- Published
- 2003-04-01
- Volume
- 31
- Issue
- 2
- Pages
- 127-145
- ISSN
- 0092-0703 (ISSN-L)
- 0000-0000
- OpenAlex
- W1970718009
- Cited by
- 959
- References
- 7
- Citations by year
- 2026: 42 · 2025: 44 · 2024: 51 · 2023: 61 · 2022: 52 · 2021: 52 · 2020: 60 · 2019: 63 · 2018: 49 · 2017: 47 · 2016: 61 · 2015: 56 · 2014: 60 · 2013: 38 · 2012: 52
- FWCI
- 21.48
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of the Academy of Marketing Science (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
- service failure, service recovery, customer satisfaction, relational continuity, recovery expectations, causal attribution, customer expectations
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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