Two Decades of Research on Consumer Behaviour and Analytics
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Behl, Abhishek
Ross, Mitchell
Quach, Sara
Thaichon, Park
Pereira, Vijay
Nigam, Achint
Le, Thanh Tiep
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Abstract
The present study is a systematic literature review that identifies the context of consumer behaviour and analytics in business to forecast the future of consumer behaviour with changing business trends through TCCM (theory, context, characteristics, method) guidelines. The authors identified that prior research used theories in different disciplines to explain the phenomenon in customer behaviour and analytics literature. When considering the theory, these phenomena often can be segregated based on the industry (e.g., marketing, advertising, sales, healthcare, human resource management, tourism), focusing on status-based mechanisms (e.g., cross-gaming predictive models), inertia-based mechanisms (e.g., theory of rational expectations and adaptive learning), or relationship-based mechanisms (e.g., theory of consumer engagement behaviour).
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Journal of Global Information Management
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30
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1
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This article published as an Open Access article distributed under the terms of the Creative Commons Attribution License (CC-BY) (https://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and production in any medium, provided the author of the original work and original publication source are properly credited.
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Jayawardena, NS; Behl, A; Ross, M; Quach, S; Thaichon, P; Pereira, V; Nigam, A; Le, TT, Two Decades of Research on Consumer Behaviour and Analytics, Journal of Global Information Management, 2022, 30 (1), pp. 1-38