Cited by 148Customer Service Quality and LoyaltyService and Product InnovationCustomer churn and segmentation

The DOI matches its Crossref record; 82 of the 83 references it cites were found in a registry or an index; none of the 117 sources its claims cite is checked for support yet.

Understanding and managing customer relational benefits in services: a meta-analysis

Open access
Gremler, Dwayne D., Van Vaerenbergh, Yves, Brüggen, Elisabeth C., Gwinner, Kevin P.·2020·Journal of the Academy of Marketing Science

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This meta-analysis integrates 1242 effect sizes from 235 independent samples across 224 papers to show that confidence and social relational benefits are stronger drivers of customer loyalty than special treatment benefits. It also finds that the sequential path through perceived value and relationship quality is stronger than the switching-costs path.

Key findings

  • All three relational benefits significantly affect customer loyalty, but confidence and social benefits have the strongest effects; special treatment benefits are consistently weaker. In the path model, confidence benefits (.42, p < .001), social benefits (.31, p < .001), and special treatment benefits (.06, p < .001) relate to perceived value; relationship quality relates to customer loyalty at .66 (p < .001), and customer loyalty relates to firm sales performance at .60 (p < .001).
  • The perceived value/relationship quality mediation path is stronger than the switching-costs path: indirect effects on customer loyalty via perceived value and relationship quality are .14 for confidence, .11 for social, and .02 for special treatment benefits (all p < .001), versus .02, .01, and .01 via switching costs (all p < .001).
  • Moderators: special treatment benefits have a weaker relationship with customer outcomes in relationship versus encounter services (γ = -.08, p < .05); confidence (γ = .11, p < .10) and special treatment (γ = .08, p < .10) benefits are marginally stronger in B2B than B2C settings; special treatment benefits are stronger in papers published in or after 2009 (γ = .10, p < .01).
  • Student samples show stronger effects for confidence benefits (γ = .15, p < .05), with marginal effects for social (γ = .12, p < .10) and special treatment (γ = .12, p < .10) benefits; confidence benefits are stronger in multiple-industry samples (γ = .15, p < .01).

Methods

  • Meta-analysis of 224 papers, 235 independent samples, 97,803 respondents, and 1242 correlations, including published and unpublished studies from 1998 onward that examined at least one of confidence, social, or special treatment benefits and at least one outcome: perceived value, relationship quality, switching costs, customer loyalty, or firm sales performance.
  • Effect sizes were reliability-corrected and sample-size-weighted using random-effects models; Fisher z-transformation was not applied. A structural path analysis used a meta-analytic correlation matrix with harmonic mean sample size n = 11,633.
  • Moderators were tested with multivariate, multilevel meta-regressions, with three models—one per relational benefit—including type of service, B2B versus B2C, publication year, student sample, number of industries, and publication status.

Limitations

  • Stated: meta-analysis is limited by available statistical information; four of seven identified relational benefits were excluded for insufficient studies; relational costs, loyalty toward frontline employees, antecedents of relational benefits, and interaction effects could not be examined.
  • Stated: measurement differences may affect effect sizes; most studies rely on survey methods, so experimental designs are needed for causal inference; moderated mediation and other service classifications could not be tested, and publication year is only a proxy for data-collection year.
  • Evident from the text: the meta-analytic, correlational input and dominance of cross-sectional surveys limit causal claims, as the authors themselves note in calling for experimental and longitudinal work.

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

Integrity signals

Registry

Crossref · 10.1007/s11747-019-00701-6

Cites

82 of 82 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

129 Own result · 96 Not checked yet · 24 Own interpretation · 21 Own method · 8 No basis given

Verify all 117 references — free account

Show all 143 claims

  • It may state two separate claims as one. 78
  • Probably not a substantial claim. 83
  • The quote only partly states this claim. 2
135 of 135
  • The paper relies on this without support.

    Customers often value their social relationships with frontline service providers that result from repeated, interpersonal interactions.

    “Customers often value their social relationships with frontline service providers that result from repeated, interpersonal interactions.”
  • The paper relies on this without support.

    When customers switch, they must become familiar with a new organization, which invokes psychological (increased anxiety) and economic costs.

    “When they switch, customers must become familiar with a new organization, which invokes psychological (i.e., increased anxiety) and economic costs.”
  • The paper relies on this without support.

    Confidence benefits and social benefits build up gradually over the course of multiple interactions between customers and service providers, and both are very difficult for competitors to mimic when acquiring a new customer.

    “Confidence benefits and social benefits build up gradually over the course of multiple interactions between customers and service providers, and both are very difficult for competitors to mimic when acquiring a new customer.”
  • The paper relies on this without support.

    The interactions with different employees create greater variability and uncertainty in service performance.

    “The interactions with different employees create greater variability and uncertainty in service performance.”
  • The paper relies on this without support.

    Customers of relationship services likely know what to expect.

    “Customers of relationship services likely know what to expect.”
  • The paper relies on this without support.

    Customers face more and more time constraints, meaning they do not always have time to engage in an extensive comparison of alternatives.

    “First, customers face more and more time constraints, meaning they do not always have time to engage in an extensive comparison of alternatives.”
  • The paper relies on this without support.

    Marketing activities involve fewer customer-employee interactions (e.g., technology replacing customer-employee interactions).

    “Second, marketing activities involve fewer customer-employee interactions (e.g., technology replacing customer-employee interactions), so social benefits may become more important to customers seeking a personal connection.”
  • The paper relies on this without support.

    Customers are increasingly price sensitive, looking for good deals and ways to save money.

    “Third, customers are increasingly price sensitive, looking for good deals and ways to save money.”
  • The paper relies on this without support.

    Studies of relational benefits differ in their use of a student or non-student sample.

    “Second, studies of relational benefits differ in their use of a student or non-student sample.”
  • The paper relies on this without support.

    Approaches to relationship marketing changed notably around 2005/2006 due to changes in technology, consumer behavior, and markets.

    “Approaches to relationship marketing changed notably around the midpoint of the time of our sample (i.e., 2005/2006), due to the various changes in technology (e.g., introduction of Facebook and Twitter), consumer behavior, and markets, as we noted previously.”
  • The authors state this as an assumption.

    The average time lag between data collection and publication is about three years, such that a paper published in 2009 likely reflects data collected in 2006.

    “we anticipate an average time lag of about three years, such that a paper published in 2009 likely reflects data collected in 2006.”
  • The paper relies on this without support.

    Special treatment benefits can be copied easily by competitors.

    “Because these benefits generally can be copied easily by competitors”
  • The paper relies on this without support.

    Special treatment benefits can be expensive to provide.

    “these benefits can be expensive to provide”
13 of 13

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?

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.

5 of 5

Citations

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Metadata

Authors
Gremler, D. D., Van Vaerenbergh, Y., Brüggen, E. C., & Gwinner, K. P.
Affiliations
  • Bowling Green State University (US)
  • Maastricht University (NL)
  • Kansas State University (US)
Corresponding author
Gremler, Dwayne D.
Venue
Journal of the Academy of Marketing Science
Published
2019-10-29
Volume
48
Issue
3
Pages
565-583
ISSN
  • 0092-0703 (ISSN-L)
  • 1552-7824
OpenAlex
W2982458389
Cited by
148
References
83
Citations by year
2026: 22 · 2025: 25 · 2024: 25 · 2023: 24 · 2022: 24 · 2021: 20 · 2020: 8
FWCI
2.42
Type
journal article
Language
en
Locations
  • Journal of the Academy of Marketing Science (publishedVersion)
  • Research Publications (Maastricht University) (publishedVersion, other-oa)
  • Lirias (submittedVersion, other-oa)
  • RePEc: Research Papers in Economics (submittedVersion)
  • Research Publications (Maastricht University) (submittedVersion, other-oa)
Funders
Arizona State University Center for Services Leadership (Leading Edge Service Research Award)
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 › Customer churn and segmentation
Keywords
relationship marketing, customer loyalty, confidence benefits, social benefits, perceived value, relationship quality, switching costs, service marketing, mediation pathways

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