Cited by 247Customer Service Quality and LoyaltyDigital Marketing and Social MediaConsumer Behavior and Marketing Influence

Does relationship marketing matter in online retailing? A meta-analytic approach

Verma, Varsha, Sharma, Dheeraj, Sheth, Jagdish·2016·Journal of the Academy of Marketing Science

Integrity signals

Registry

Crossref · 10.1007/s11747-015-0429-6

Cites

58 of 58 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

  • Prior meta-analyses identify relationship quality as a mediator of the relational benefits-customer loyalty relationship.

    “Second, in prior meta-analyses that have shaped relationship marketing theory (Palmatier et al. 2006; Verma et al. 2016), the authors identify relationship quality as a mediator of the relational benefits-customer loyalty relationship.”
  • Prior meta-analyses often conceptualize relational benefits as a single, general construct, discounting the potentially divergent effects of different relational benefits on customer outcomes.

    “Prior meta-analyses (Palmatier et al. 2006; Verma et al. 2016) often conceptualize relational benefits as a single, general construct, discounting the potentially divergent effects of different relational benefits on customer outcomes.”
  • A unidimensional approach to relational benefits might not adequately capture the influence of each benefit component on customer loyalty.

    “These results also suggest that a unidimensional approach to relational benefits (e.g., Palmatier et al. 2006; Verma et al. 2016) might not adequately capture the influence of each benefit component on customer loyalty.”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Verma, V., Sharma, D., & Sheth, J.
Affiliations
  • Indian Institute of Management Ahmedabad (IN)
  • Emory University (US)
Corresponding author
Verma, Varsha
Venue
Journal of the Academy of Marketing Science
Published
2015-02-17
Volume
44
Issue
2
Pages
206-217
ISSN
  • 0092-0703 (ISSN-L)
  • 1552-7824
OpenAlex
W2044086157
Cited by
247
References
58
Citations by year
2026: 4 · 2025: 15 · 2024: 15 · 2023: 19 · 2022: 36 · 2021: 33 · 2020: 47 · 2019: 26 · 2018: 21 · 2017: 21 · 2016: 8 · 2015: 2
FWCI
38.24
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of the Academy of Marketing Science (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
University of South Carolina
Topics
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Customer Service Quality and Loyalty
  • Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
  • Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior and Marketing Influence
Keywords
relationship marketing, online retail, consumer trust, customer commitment, relationship quality, relationship satisfaction, similarity, word of mouth, online customer relationships

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.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review