Short Review of “Mapping the Landscape of Behavioural Theories: Systematic Literature Review”
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Date
2019
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AESOP
Abstract
The “behavioural” approach is receiving increasing attention in many disciplines, however, there is yet limited understanding of the available theories and how they can be applied. Through a cross-disciplinary literature review, this paper identifies 62 behavioural theories from 963 publications and classifies them into four groups: (1) those that explain the factors that affect behaviour such as the theory of planned behaviour and prospect theory, (2) those that focus on behaviour change strategies such as nudge theory, (3) those about learning and conditioning such as reinforcement learning theory, and (4) those that focus on the modelling such as neural networks theory and game theory. Based on the review, the paper discusses the lack of understanding of terms, classification, guidance on the use of appropriate theories, inclusion in data-driven research and modelling, and dialogue between theory-driven and data-driven approaches. Furthermore, it emphasizes the role of behavioural theories in bridging the divide between the traditional theorybased, aggregate, quantitative and equation-based approaches and the new data-based, disaggregate, qualitative and language-based approaches such as agent-based modelling. This conference paper is a shortened version of: Kwon, H.R. and Silva, E.A. (2019) Mapping the Landscape of Behavioural heories: Systematic Literature Review, Journal of Planning Literature
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Keywords
behavioural theories, data-driven research, theory-driven research, agent-based modelling