Customer loyalty in the insurance industry: From traditional to analytical marketing — a bibliometric analysis

Manuel Leiria, Nelson Dematos and Efigénio Rebelo
Additional contact information
Manuel Leiria: School of Economics, University of Algarve, Portugal
Nelson Dematos: Cinturs & CiTur, University of Algarve, Portugal
Efigénio Rebelo: School of Economics, University of Algarve, Portugal

Applied Marketing Analytics: The Peer-Reviewed Journal, 2023, vol. 8, issue 4, 404-422

Abstract: This study describes the conceptual structure of customer loyalty in insurance through a bibliometric analysis and identifies the emerging industry and research trends. A total of 98 scientific documents published about customer loyalty in insurance are examined using two bibliometric software programs, VOSviewer and SciMAT, that allow the spatial representation of the research concept. Both descriptive and network analysis are produced in this research. The paper highlights the importance of customer loyalty to successfully compete in the insurance industry and identifies good practices that insurance companies should adopt. The analysis of research trends highlights the importance of statistical models and algorithms to anticipate customer decisions. This is the first comprehensive article offering a bibliometric analysis to research the main trends on customer loyalty in insurance.

Keywords: loyalty; insurance industry; customer loyalty; bibliometric analysis; thematic analysis; research propositions; VOSviewer; SciMAT (search for similar items in EconPapers)
JEL-codes: M3 (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
https://hstalks.com/article/7582/download/ (application/pdf)
https://hstalks.com/article/7582/ (text/html)
Requires a paid subscription for full access.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:aza:ama000:y:2023:v:8:i:4:p:404-422

Access Statistics for this article

More articles in Applied Marketing Analytics: The Peer-Reviewed Journal from Henry Stewart Publications
Bibliographic data for series maintained by Henry Stewart Talks ().