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The Human Side of Supply Chains: A Behavioural Perspective of Supply Chain Risk Management

The Human Side of Supply Chains: A Behavioural Perspective of Supply Chain Risk Management

Alessandro Ancarani, Carmela Di Mauro
Copyright: © 2012 |Pages: 25
ISBN13: 9781609605858|ISBN10: 1609605853|EISBN13: 9781609605865
DOI: 10.4018/978-1-60960-585-8.ch019
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MLA

Ancarani, Alessandro, and Carmela Di Mauro. "The Human Side of Supply Chains: A Behavioural Perspective of Supply Chain Risk Management." Supply Chain Innovation for Competing in Highly Dynamic Markets: Challenges and Solutions, edited by Pietro Evangelista, et al., IGI Global, 2012, pp. 290-314. https://doi.org/10.4018/978-1-60960-585-8.ch019

APA

Ancarani, A. & Di Mauro, C. (2012). The Human Side of Supply Chains: A Behavioural Perspective of Supply Chain Risk Management. In P. Evangelista, A. McKinnon, E. Sweeney, & E. Esposito (Eds.), Supply Chain Innovation for Competing in Highly Dynamic Markets: Challenges and Solutions (pp. 290-314). IGI Global. https://doi.org/10.4018/978-1-60960-585-8.ch019

Chicago

Ancarani, Alessandro, and Carmela Di Mauro. "The Human Side of Supply Chains: A Behavioural Perspective of Supply Chain Risk Management." In Supply Chain Innovation for Competing in Highly Dynamic Markets: Challenges and Solutions, edited by Pietro Evangelista, et al., 290-314. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-60960-585-8.ch019

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Abstract

The adoption of the behavioural approach for the study of OM and Supply Chain Management is still fairly novel. However, there is evidence that in order to improve supply chain management it is crucial to develop models that correctly describe human behaviour. Failure to account for behavioural components such as risk perception, time effects and social interaction may lead to models that are biased in their predictions. This chapter reviews extant behavioural research relevant to supply chain risk management. In particular, its implications for supply chain management are outlined, and opportunities for future developments of theory that is robust to behavioural effects are identified.

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