Cited by 176Customer Service Quality and LoyaltyService and Product InnovationAI in Service Interactions

The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index; none of the 53 sources its claims cite is checked for support yet.

Recovery Voice and Satisfaction After Service Failure: An Experimental Investigation of Mediating and Moderating Factors

Open access
Karande, Kiran, Magnini, Vincent P., Tam, Leona·2007·Journal of Service Research

Abstract

Past research studies on service failures and recovery have conceptualized “voice” in terms of customers having an opportunity to air complaints after failures occur. In contrast, the authors introduce the concept of recovery voice , which entails a service provider asking a customer (after a failure has occurred) what the firm can do to rectify the problem. In a scenario-based experiment carried out in an airline setting and in a hotel setting with 216 and 208 participants, respectively, it was found that customers perceived greater procedural justice when offered recovery voice, which resulted in higher overall postfailure satisfaction. It was shown that perceived procedural justice mediated the effect of recovery voice on overall satisfaction. Furthermore, recovery voice had a greater impact on perceived procedural justice for established customers with long transaction histories than for new ones with short transaction histories. Managerial and research implications based on these findings are also presented.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

The paper introduces recovery voice—asking customers how a firm should fix a service failure—and tests it in airline and hotel scenarios. It finds recovery voice raises perceived procedural justice, which mediates higher postfailure satisfaction, with past transaction history moderating the first link but gender not moderating either link.

Key findings

  • Across 216 airline and 208 hotel participants, recovery voice increased perceived procedural justice (combined M = 6.14 vs. 4.83; F(1, 416) = 60.04, p < .01), and higher procedural justice increased overall postfailure satisfaction (combined high vs. low M = 6.78 vs. 4.10; F(1, 416) = 264.20, p < .01).
  • Procedural justice mediated recovery voice’s effect on satisfaction: Sobel tests were significant in airline, hotel, and combined samples (4.14, 4.50, 5.88, all p < .01); Baron and Kenny’s procedure indicated perfect mediation for airline and partial mediation for hotel.
  • Past transaction history moderated the recovery voice → procedural justice link: the effect was stronger for established/long-history customers than for new/short-history customers (combined interaction F(1, 416) = 7.61, p < .01; simple effects F = 55.49 vs. 15.91, p < .001).
  • Gender did not moderate recovery voice → procedural justice or procedural justice → satisfaction (Hypotheses 4 and 5 not supported); Hypothesis 7, that procedural justice → satisfaction would be stronger for new customers, was not supported, though means were in the predicted direction.

Methods

  • A 2 × 2 × 2 between-subjects scenario experiment manipulated recovery voice (present/absent) and past transaction history (long/short), with gender measured; separate airline and hotel service-failure vignettes were used.
  • Data came from an online consumer panel: 424 responses total, 216 for airline scenarios and 208 for hotel scenarios; participants were aged 25–82 (average 53).
  • Overall postfailure satisfaction was measured with three 9-point semantic-differential items (α = .96 combined), and procedural justice with six 9-point Likert-type items (α = .95 combined); analysis used ANOVA, simple-effects tests, Baron and Kenny mediation steps, and Sobel tests.

Limitations

  • The authors state this is the first study of recovery voice and caution that findings should be interpreted carefully; recovery voice may have negative effects if customer input is not followed or is unrealistic, and asking for input may make customers question provider competence.
  • The authors note that online vignettes cannot fully capture feelings surrounding real service failures, past experience was held constant, only airline and hotel settings were studied, hotel recovery was immediate while airline recovery occurred the next day, and service-category differences were significant.
  • Evident from the text: the sample was an online panel rather than actual customers experiencing failures; hotel mediation was only partial, leaving a direct recovery voice effect unexplained; and several hypotheses, especially gender moderation and Hypothesis 7, were unsupported.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1177/1094670507309607

Cites

54 of 54 references verified0 citation errors · 0 not checkable

Statistics

18 tests recomputed · 0 with the reported and recomputed p on opposite sides of .05

Verification

Claims the paper makes

31 No full text of the sources · 24 Own result · 9 Sources not found · 9 Own method · 9 Own interpretation · 8 No basis given · 2 Not checked yet

Show all 46 claims

  • It may state two separate claims as one. 22
  • Probably not a substantial claim. 32
46 of 46
  • The paper relies on this without support.

    The written scenarios realistically represent actual service failure situations, such that participants' responses reflect how real customers would respond.

    “The extent to which the respondents found the scenarios to be realistic was measured by asking the question”
  • The paper relies on this without support.

    The items used to measure procedural justice, overall satisfaction, recovery voice, and past transaction history are valid measures of those constructs.

    “The respondents indicated their perceptions of recovery voice on two items:”
  • The paper relies on this without support.

    The airline and hotel service failure scenarios are comparable enough to combine into a single sample for analysis.

    “The same ANOVA models were also estimated with the combined sample using the same set of independent and dependent variables.”
  • The paper relies on this without support.

    The online consumer panel respondents are representative of consumers who experience service failures.

    “Data were collected using an online consumer panel of a large reputed marketing research company.”
4 of 4

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?

Statistics that don’t add up

Each reported p-value recomputed from its test statistic and degrees of freedom.

1 of 1

Statistics recomputed

Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.

  • Doesn’t add upF(1, 208) = 3.84reported p = .07 · recomputed p = .051

    “F(1, 208) = 3.84, p = .07”

  • ConsistentF(1, 208) = 22.24reported p < .01 · recomputed p < .001

    “F(1, 208) = 22.24, p < .01”

  • ConsistentF(1, 200) = 31reported p < .01 · recomputed p < .001

    “F(1, 200) = 31.00,p < .01”

  • ConsistentF(1, 416) = 60.04reported p < .01 · recomputed p < .001

    “F(1, 416) = 60.04,p < .01”

  • ConsistentF(1, 208) = 53.27reported p < .01 · recomputed p < .001

    “F(1, 208) = 53.27,p < .01”

  • ConsistentF(1, 200) = 54.16reported p < .01 · recomputed p < .001

    “F(1, 200) = 54.16,p < .01”

  • ConsistentF(1, 416) = 264.2reported p < .01 · recomputed p < .001

    “F(1, 416) = 264.20,p < .01”

  • ConsistentF(1, 200) = 4.86reported p < .05 · recomputed p = .029

    “F(1, 200) = 4.86, p < .05”

  • ConsistentF(1, 416) = 7.61reported p < .01 · recomputed p = .006

    “F(1, 416) = 7.61, p < .01”

  • ConsistentF(1, 416) = 55.49reported p < .001 · recomputed p < .001

    “F(1, 416) = 55.49,p < .001”

  • ConsistentF(1, 416) = 15.91reported p < .001 · recomputed p < .001

    “F(1, 416) = 15.91,p < .001”

  • ConsistentF(1, 208) = 21.56reported p < .001 · recomputed p < .001

    “F(1, 208) = 21.56,p < .001”

  • ConsistentF(1, 208) = 5.15reported p < .05 · recomputed p = .024

    “F(1, 208) = 5.15, p < .05”

  • ConsistentF(1, 200) = 31.69reported p < .001 · recomputed p < .001

    “F(1, 200) = 31.69,p < .001”

  • ConsistentF(1, 200) = 6.11reported p < .05 · recomputed p = .014

    “F(1, 200) = 6.11, p < .05”

  • ConsistentF(1, 416) = 3.93reported p < .05 · recomputed p = .048

    “F(1, 416) = 3.93, p < .05”

  • ConsistentF(1, 416) = 179.14reported p < .001 · recomputed p < .001

    “F(1, 416) = 179.14,p < .001”

  • ConsistentF(1, 416) = 79.57reported p < .001 · recomputed p < .001

    “F(1, 416) = 79.57,p < .001”

18 of 18

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

7 of 7

Citations

Cites

Show all 52 references

Research works printed but not linked: 10

  1. American Consumer Satisfaction Index, 2007, Scores by Industry: Airlines
  2. 2007, Scores by Industry: Hotels
  3. Keppel, Geoffrey, 2006, Design and Analysis: A Research's Handbook
  4. 1976, Fairness in Social Responsibilities
  5. Tom R. Tyler, 1988, The Sociology Psychology of Procedural Justice
  6. Nunnally, Jum C., 1994, Psychometric Theory
  7. 1989, Journal of Customer Satisfaction, Dissatisfaction, and Complaining Behavior, 2, 146
  8. Rosener, Judy B., 1990, Harvard Business Review, 68, 119
  9. Sparks, Beverley A., 2001, Journal of Business, 54, 209
  10. Tax, Stephen S., 1998, Journal of Marketing,, 62, 6

Cited by

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Items 101–176 of 176

Metadata

Authors
Karande, K., Magnini, V. P., & Tam, L.
Affiliations
  • Old Dominion University (US)
  • Longwood University (US)
Venue
Journal of Service Research
Published
2007-11
Volume
10
Issue
2
Pages
187-203
ISSN
  • 1094-6705 (ISSN-L)
  • 1552-7379
OpenAlex
W2148799739
Cited by
176
References
52
Citations by year
2026: 5 · 2025: 4 · 2024: 5 · 2023: 7 · 2022: 5 · 2021: 17 · 2020: 3 · 2019: 13 · 2018: 10 · 2017: 11 · 2016: 12 · 2015: 16 · 2014: 14 · 2013: 11 · 2012: 8
FWCI
13.63
Type
journal article
Language
en
Open access
Locations
  • Journal of Service Research (publishedVersion)
  • Digital Commons - Longwood (Longwood University) (submittedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Marketing › Customer Service Quality and Loyalty
  • Social Sciences › Business, Management and Accounting › Marketing › Service and Product Innovation
  • Social Sciences › Business, Management and Accounting › Marketing › AI in Service Interactions
Keywords
service failure, procedural justice, customer complaints, service recovery, airline services, hotel services, transaction history, customer relationships

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