Cited by 712Customer Service Quality and LoyaltyConsumer Market Behavior and PricingService and Product Innovation

Should we delight the customer?

Rust, R. T., Oliver, R. L.·2000·Journal of the Academy of Marketing Science

Integrity signals

Registry

Crossref · 10.1177/0092070300281008

Cites

39 of 39 references verified0 citation errors · 0 not checkable

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  • When customers develop habits to using specific technologies, their initial customer delight is expected to transfer to their realm of expectation.

    “This has important implications for CX management as when customers develop habits to using specific technologies, their initial customer delight is expected to transfer to their realm of expectation (c.f.Rust and Oliver, 2000).”

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Authors
Rust, R. T., & Oliver, R. L.
Affiliations
Vanderbilt University (US)
Venue
Journal of the Academy of Marketing Science
Published
2000-01-01
Volume
28
Issue
1
Pages
86-94
ISSN
0092-0703 (ISSN-L)
OpenAlex
W2139746788
Cited by
712
References
38
Citations by year
2026: 5 · 2025: 19 · 2024: 19 · 2023: 25 · 2022: 30 · 2021: 27 · 2020: 40 · 2019: 37 · 2018: 20 · 2017: 44 · 2016: 43 · 2015: 34 · 2014: 47 · 2013: 36 · 2012: 29
FWCI
32.44
Type
journal article
Language
en
Open access
closed
Locations
Journal of the Academy of Marketing Science (publishedVersion)
Funders
Washington University in St. Louis
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 › Consumer Market Behavior and Pricing
  • Social Sciences › Business, Management and Accounting › Marketing › Service and Product Innovation
Keywords
customer delight, customer satisfaction, customer expectations, repurchase intention, customer churn, customer loyalty, competition

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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.

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