The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
The paradox of customer education: Customer expertise and loyalty in the financial services industry
Abstract
Purpose: The purpose of this paper is to consider the dynamics of customer education by exploring the relationship between education and customer expertise and their combined effects on customer loyalty in a high involvement investment services context. The paper also considers the service context within which customer education initiatives are delivered. More specifically, it explores the moderating effects of increasing levels of customer expertise (the outcome of customer education) on the relative importance of technical service quality (what is delivered) and functional service quality (how it is delivered) in determining the loyalty decision. In doing so, the paper aims to provide implications for the investment service firm for managing the service offering as customers develop expertise over time. Design/methodology/approach: The paper proposes a conceptual model that formalises the research objectives as a series of testable hypotheses. This is followed by an outline of the research design and method. The hypotheses are tested using a sample of 1,268 high value clients from a global investment services firm. An analysis of the model and the results is presented. Findings: Customer loyalty was found to be positively and significantly related to technical service quality, functional service quality, and customer education. Contrary to expectations, however, customer expertise was not negatively related to customer loyalty. Customer education was found to be positively associated with customer expertise. The main effect of customer education on loyalty was significant; however it did not diminish when customer expertise was entered into the third equation. In other words, the conditions for partial mediation were not satisfied. Finally, the positive and significant interaction coefficient between technical service quality and expertise implied that the positive effect of technical service quality on consumer customer loyalty was indeed stronger when customer expertise was high. Conversely, and consistent with expectations, the interaction term between functional service quality and customer expertise was significant and negative, indicating that the positive relationship between functional service quality and customer loyalty is diminished as customer expertise increases. Originality/value: Where there is a significant amount of research on customer knowledge and expertise, there is relatively less understanding of how customers acquire such knowledge. It is hoped that this paper can shed some additional light on the subject of customer education, its impact on customer expertise and, ultimately, on the way in which service quality is perceived.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
An updated paradigm for scale development incorporating unidimensionality and its assessment
Gerbing, D. W., & Anderson, J. C. (1988) · Journal of Marketing Research · doi:10.1177/002224378802500207 · Cited by 6,293
Relationship Quality in Services Selling: An Interpersonal Influence Perspective
Crosby, L. A., Evans, K. R., & Cowles, D. (1990) · Journal of Marketing · doi:10.1177/002224299005400306 · Cited by 4,763
Customer Switching Behavior in Service Industries: An Exploratory Study
Keaveney, S. M. (1995) · Journal of Marketing · doi:10.2307/1252074 · Cited by 2,905
Mittal, V., & Kamakura, W. A. (2001) · Journal of Marketing Research · doi:10.1509/jmkr.38.1.131.18832 · Cited by 2,256
Jones, M. A., Mothersbaugh, D. L., & Beatty, S. E. (2002) · Journal of Business Research · doi:10.1016/s0148-2963(00)00168-5 · Cited by 909
Switching barriers in consumer markets: an investigation of the financial services industry
Colgate, M., & Lang, B. (2001) · Journal of Consumer Marketing · doi:10.1108/07363760110393001 · Cited by 457
Cited by
Shim, S., Serido, J., & Tang, C. (2013) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2012.10.001 · Cited by 54
The Past, Present, and Future of Customer Knowledge Management: A Review and Research Agenda
Ourzik, V. Y. (2026) · Knowledge and Process Management · doi:10.1002/kpm.70076 · Cited by 1
K.V., A., Bolar, K., & Nambiar, B. (2026) · Knowledge Management Research & Practice · doi:10.1080/14778238.2026.2631088
Metadata
- Authors
- Bell, S. J., & Eisingerich, A. B.
- Venue
- European Journal of Marketing
- Publisher
- Emerald
- Published
- 2007-06-05
- Volume
- 41
- Issue
- 5/6
- Pages
- 466-486
- ISSN
- 0309-0566 (ISSN-L)
- OpenAlex
- W1487792987
- Cited by
- 179
- References
- 7
- FWCI
- 12.17
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The paradox of customer education: Customer expertise and loyalty in the financial services industry. https://app.cochat.ai/papers/10.1108/03090560710737561
- The paper
- Bell, S. J., & Eisingerich, A. B. (2007). The paradox of customer education: Customer expertise and loyalty in the financial services industry. European Journal of Marketing. https://doi.org/10.1108/03090560710737561
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.