The DOI matches its Crossref record; 49 of the 50 references it cites were found in a registry or an index.
The influence of satisfaction, trust and switching barriers on customer retention in a continuous purchasing setting
Abstract
Adopts a holistic approach that examines the combined effects of satisfaction, trust and switching barriers on customer retention in a continuous purchasing setting. Argues that such an approach helps uncover hitherto neglected effects on retention and, in the process, unveils more cost effective ways of retaining customers. Drawing on this framework develops several hypotheses regarding the main and interaction effects of customer satisfaction, trust and switching barriers on retention. Tests these hypotheses on data from a large‐scale mail survey of fixed line telephone users in the UK, finding that both customer satisfaction and trust have strong positive effects on customer retention. Contrary to some assertions in the literature, however, finds that the effect of trust on retention is weaker than that of satisfaction. Nevertheless, the interaction between trust and satisfaction also has a significant effect on retention, indicating that building both customer satisfaction and trust is a superior strategy to a focus on satisfaction alone. Qualitative evidence from the survey offers further support for this finding. Even a “satisfying” service recovery process might be inadequate to prevent loss of trust, with significant implications for future consumer behaviour. Finally, the results show that switching barriers have both a significant positive effect on customer retention as well as a moderating effect on the relationship between satisfaction and retention. While service providers may be able to retain even dissatisfied customers who perceive high switching barriers, argues that ideally, firms should aim at a combined strategy that makes switching barriers act as a complement to satisfaction.
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“As the perceived switching costs escalate, at least in the short period of time customers are unlikely to alter the service providers (Ranaweera and Prabhu 2003).”
From Health insurance policy renewal: an exploration of reputation, performance, and affect to understand customer inertia (2022) · cites this paper as Ranaweera and Prabhu 2003
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Metadata
- Authors
- Ranaweera, C., & Prabhu, J.
- Affiliations
- Wilfrid Laurier University (CA)
- University of Cambridge (GB)
- Venue
- International Journal of Service Industry Management
- Publisher
- Emerald
- Published
- 2003-10-01
- Volume
- 14
- Issue
- 4
- Pages
- 374-395
- ISSN
- 0956-4233 (ISSN-L)
- OpenAlex
- W2075578818
- Cited by
- 700
- References
- 50
- Citations by year
- 2026: 12 · 2025: 16 · 2024: 31 · 2023: 39 · 2022: 23 · 2021: 53 · 2020: 42 · 2019: 31 · 2018: 45 · 2017: 35 · 2016: 41 · 2015: 49 · 2014: 68 · 2013: 50 · 2012: 44
- FWCI
- 9.28
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Service Industry Management (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Customer Service Quality and Loyalty
- Social Sciences › Business, Management and Accounting › Marketing › Customer churn and segmentation
- Social Sciences › Business, Management and Accounting › Marketing › Service and Product Innovation
- Keywords
- customer satisfaction, consumer trust, switching barriers, customer retention, service recovery, interaction effects, moderating effect, customer loyalty
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 ›
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