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2013 | OriginalPaper | Buchkapitel

How to Improve Supply Chain Performance by Anticipating Human Decision Behavior

verfasst von : Michael Becker-Peth

Erschienen in: Supply Management Research

Verlag: Springer Fachmedien Wiesbaden

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Abstract

The main assumption underlying most supply chain models is the assumption of a fully rational expected profit maximizing decision maker. This might be correct assuming computerized decisions. But in reality most decisions are made by human decision makers and humans’ decisions are not always rational. This paper discusses recent behavioral operations literature describing different decision biases observed in laboratory experiments. Then, we analyze how human decision makers behave under three different supply contracts. Based on these observations we show how to take human behavior into account to improve supply chain performance.

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Vorheriges Kapitel Innovation in sustainable supply chains – Interaction for resources from an SME perspective

Nächstes Kapitel Quantitative models for value-based supply chain management

This paper is based on the doctoral thesis published as Becker-Peth (2012).

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Titel: How to Improve Supply Chain Performance by Anticipating Human Decision Behavior
verfasst von: Michael Becker-Peth
Verlag: Springer Fachmedien Wiesbaden
Buch: Supply Management Research
Print ISBN: 978-3-658-03060-5

Electronic ISBN: 978-3-658-03061-2

Copyright-Jahr: 2013
DOI: https://doi.org/10.1007/978-3-658-03061-2_6