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
Citations
Cites
Multiple regression: testing and interpreting interactions
(1992) · Choice Reviews Online · doi:10.5860/choice.29-3352 · Cited by 36,647
Herne, H., Cooley, W. W., & Lohnes, P. R. (1973) · Journal of the Royal Statistical Society Series A (General) · doi:10.2307/2344428 · Cited by 35,801
The commitment-trust theory of relationship marketing
Morgan, R. M., & Hunt, S. D. (1994) · Journal of Marketing · doi:10.1177/002224299405800302 · Cited by 22,355
A conceptual model of service quality and its implications for future research
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985) · Journal of Marketing · doi:10.1177/002224298504900403 · Cited by 21,645
SERVQUAL: A multiple-Item Scale for measuring consumer perceptions of service quality
Parasuraman, A., Berry, L. L., & Zeithaml, V. A. (1988) · Zenodo · doi:10.5281/zenodo.14579729 · Cited by 21,118
A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions
Oliver, R. L. (1980) · Journal of Marketing Research · doi:10.1177/002224378001700405 · Cited by 14,494
Estimating Nonresponse Bias in Mail Surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.2307/3150783 · Cited by 12,222
The Behavioral Consequences of Service Quality
Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996) · Journal of Marketing · doi:10.2307/1251929 · Cited by 12,003
Measuring Service Quality: A Reexamination and Extension
Cronin, J. J., & Taylor, S. A. (1992) · Journal of Marketing · doi:10.1177/002224299205600304 · Cited by 11,433
Estimating nonresponse bias in mail surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.1177/002224377701400320 · Cited by 10,390
Research works printed but not linked: 9
- Brown, S.W. (2000), “Practicing best in class service recovery”, Services Marketing, Summer, pp. 8‐9.
- Fornell, C., Ittner, C.D. and Larcker, D.F. (1995), “Understanding and using the American customer satisfaction index (ACSI): assessing the financial impact of quality initiatives”, paper presented at IMPRO 95, Juran Institute's Conference on Managing for Total Quality.
- Gremler, D.D. and Brown, S.W. (1996), “Service loyalty: its nature, importance, and implications”, in Edwardson, B., Brown, S.W. and Johnston, R. (Eds), Advancing Service Quality: A Global Perspective, International Service Quality Association, pp. 171‐80.
- Hunt, H.K. (1977), “CS/D – overview and future research direction”, in Hunt, H.K. (Ed.), Conceptualisation and Measurement of Consumer Satisfaction and Dissatisfaction, Marketing Science Institute, Cambridge, MA, pp. 92‐119.
- Rucci, A.J., Kirn, S.P. and Quinn, R.T. (1998), “The employee‐customer profit chain at SEARS”, Harvard Business Review, January/February, pp. 82‐97.
- Williamson, O. (1985), The Economic Institutions of Capitalism: Firms, Market, Relational Contracting, The Free Press, New York, NY.
- Gremler, D.D. (1994), “Word‐of‐mouth about service providers: an illustration of theory development in marketing”, American Marketing Association, Winter, pp. 62‐70.
- Gremler, D.D. and Brown, S.W. (1998), “Service loyalty: antecedents, components, and outcomes”, American Marketing Association, Winter, pp. 165‐6.
- Oliver, R.L. and Satisfaction:, A. (1997), Behavioural Perspective on the Consumer, McGraw‐Hill, New York, NY.
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Kumar, A., Bezawada, R., Rishika, R., Janakiraman, R., & Kannan, P. K. (2015) · Journal of Marketing · doi:10.1509/jm.14.0249 · Cited by 1,156
Kassim, N., & Asiah Abdullah, N. (2010) · Asia Pacific Journal of Marketing and Logistics · doi:10.1108/13555851011062269 · Cited by 685
Cheng, X., Zhang, X., Cohen, J., & Mou, J. (2022) · Information Processing & Management · doi:10.1016/j.ipm.2022.102940 · Cited by 536
Kang, J., & Hustvedt, G. (2013) · Journal of Business Ethics · doi:10.1007/s10551-013-1916-7 · Cited by 577
Amin, M. (2016) · International Journal of Bank Marketing · doi:10.1108/ijbm-10-2014-0139 · Cited by 564
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
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