Consumer knowledge in marketinga critical review and research agenda
- Elisa Garrido Castro 1
- Francisco José Torres Peña 1
- Eva María Murgado Armenteros 1
- Francisco José Torres Ruiz 1
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1
Universidad de Jaén
info
ISSN: 2444-9695, 2444-9709
Year of publication: 2025
Volume: 29
Issue: 1
Type: Article
More publications in: Spanish journal of marketing-ESIC
Abstract
Purpose The purpose of this study is to critically review consumer knowledge in marketing and propose a future research agenda. Despite the many works that have examined this variable, given its strong influence on behaviour, it has generally been studied in association with other constructs, and no studies have focused on it in a specific way. Its definition, measurement and approaches to its role and usefulness are superficial and underdeveloped. After structuring and analysing the existing literature, the authors establish, (I) which aspects are of little use to the discipline, and (II) which research lines have the most potential and should be developed and studied in greater depth, to advance and complete the existing consumer knowledge framework. Design/methodology/approach A search was undertaken for documents in the main databases in which the term “consumer knowledge” appears in a marketing or consumer context, and a critical and reflexive approach was taken to analyse the main contributions and to structure them by content blocks. Findings Five main content blocks were identified. A set of research gaps were detected, mainly related to the lax conceptualisation of the topic, measurement problems and the scarcity of more useful works connected with business management, and several research lines are proposed that complement the existing framework to make it more complete and operational. Originality/value This paper offers a critical review and proposes a research agenda for one of the most used but little studied variables in the field of marketing, which may help academics and professionals in the discipline to continue developing useful theories and models
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