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Customer Engagement: Conceptual Domain, Fundamental Propositions, and Implications for Research
Abstract
In today’s highly dynamic and interactive business environment, the role of “customer engagement” (CE) in cocreating customer experience and value is receiving increasing attention from business practitioners and academics alike. Despite this interest, systematic scholarly inquiry into the concept and its conceptual distinctiveness from other, associated relational concepts has been limited to date. This article explores the theoretical foundations of CE by drawing on relationship marketing theory and the service-dominant (S-D) logic. The analysis also examines the use of the term “engagement” in the social science, management, and marketing academic literatures, as well as in specific business practice applications. Five fundamental propositions (FPs) derived from this analysis are used to develop a general definition of CE, and distinguish the concept from other relational concepts, including “participation” and “involvement.” The five propositions are used in the development of a framework for future research, the undertaking of which would facilitate the subsequent refinement of the conceptual domain of CE. Overall, CE, based on its relational foundations of interactive experience and the cocreation of value, is shown to represent an important concept for research in marketing and service management.
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Metadata
- Authors
- Brodie, R. J., Hollebeek, L. D., Jurić, B., & Ilić, A.
- Venue
- Journal of Service Research
- Publisher
- SAGE Publications
- Published
- 2011-07-06
- Volume
- 14
- Issue
- 3
- Pages
- 252-271
- ISSN
- 1094-6705 (ISSN-L)
- 1552-7379
- OpenAlex
- W2132652356
- Cited by
- 3,622
- References
- 19
- FWCI
- 153.77
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
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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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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.