Behavioural OR: recent developments and future perspectives
Behavioural OR: recent developments and future perspectives
Behavioural OR (BOR) is not a new field of study but there have been many recent developments. A key one is the distinction of studying behaviour in, with, or beyond models. To showcase other developments, the chapter outlines the conceptual similarities and differences between BOR and behavioural operations management (BOM) . We also briefly survey the empirical connection with behavioural sciences such as economics and psychology. Interestingly, this survey points to a main future perspective of BOR, its connection to Artificial Intelligence (AI), which raises important issues of how to build transparent and at the same time effective models. The chapter also includes pointers to theoretical, methodological, and educational resources for BOR.
721-733
Kunc, Martin
0b254052-f9f5-49f9-ac0b-148c257ba412
Katsikopoulos, Konstantinos V.
b97c23d9-8b24-4225-8da4-be7ac2a14fba
7 July 2022
Kunc, Martin
0b254052-f9f5-49f9-ac0b-148c257ba412
Katsikopoulos, Konstantinos V.
b97c23d9-8b24-4225-8da4-be7ac2a14fba
Kunc, Martin and Katsikopoulos, Konstantinos V.
(2022)
Behavioural OR: recent developments and future perspectives.
In,
Salhi, Saïd and Boylan, John
(eds.)
The Palgrave Handbook of Operations Research.
Springer, .
(doi:10.1007/978-3-030-96935-6_22).
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Abstract
Behavioural OR (BOR) is not a new field of study but there have been many recent developments. A key one is the distinction of studying behaviour in, with, or beyond models. To showcase other developments, the chapter outlines the conceptual similarities and differences between BOR and behavioural operations management (BOM) . We also briefly survey the empirical connection with behavioural sciences such as economics and psychology. Interestingly, this survey points to a main future perspective of BOR, its connection to Artificial Intelligence (AI), which raises important issues of how to build transparent and at the same time effective models. The chapter also includes pointers to theoretical, methodological, and educational resources for BOR.
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Published date: 7 July 2022
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Local EPrints ID: 479522
URI: http://eprints.soton.ac.uk/id/eprint/479522
PURE UUID: bfad41d1-42ff-41d5-97e2-5fa9a2f82a80
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Date deposited: 25 Jul 2023 16:55
Last modified: 17 Mar 2024 03:55
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Contributors
Editor:
Saïd Salhi
Editor:
John Boylan
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