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The Human Factor in Supply Chain Risk Management

In a three paper essay series we address the human impact in SCRM from the microeconomic and macroeconomic perspectives. First, using a positivist theory building approach, we synthesize behavioral risk management and supply chain risk management theory to propose behavioral supply chain risk management as a new topic area. This paper is microeconomic in nature and focuses mostly on individuals as the unit of analysis in a SCRM context.

Second, we introduce cross-impact analysis as a scenariobased supplier selection methodology. We demonstrate how cross-impact analysis can be used to provide supply chain decision-makers with probability estimates of the future viability of the members of a given set of possible suppliers in a backdrop of macroeconomic risk.

The third and final paper in the series incorporates the probability estimates resulting from a cross-impact analysis exercise into a hybrid stochastic mixed-integer programming (SMIP) technique CIA-SMIP. We demonstrate how the CIA-SMIP approach can be utilized as a single-source supplier selection model.

In its totality, this dissertation represents a step towards the theoretical framing of the human impact on SCRM into two main distinguishable areas: microeconomic and macroeconomic. / Ph. D. / In this three paper essay series we address the human impact in SCRM from the microeconomic and macroeconomic perspectives. First, using a positivist theory building approach, we synthesize behavioral risk management and supply chain risk management theory to propose behavioral supply chain risk management as a new topic area. This paper is microeconomic in nature and focuses mostly on individuals as the unit of analysis in a SCRM context. Second, we introduce cross-impact analysis as a scenario-based supplier selection methodology. We demonstrate how cross-impact analysis can be used to provide supply chain decision-makers with probability estimates of the future viability of the members of a given set of possible suppliers in a backdrop of macroeconomic risk. The third and final paper in the series incorporates the probability estimates resulting from a cross-impact analysis exercise into a hybrid stochastic mixed-integer programming (SMIP) technique CIA-SMIP. We demonstrate how the CIA-SMIP approach can be utilized as a singlesource supplier selection model. In its totality, this dissertation represents a step towards the theoretical framing of the human impact on SCRM into two main distinguishable areas: microeconomic and macroeconomic.

Identiferoai:union.ndltd.org:VTETD/oai:vtechworks.lib.vt.edu:10919/87438
Date04 February 2019
CreatorsKwaramba, Shingirai C.
ContributorsManagement, Nottingham, Quinton J., Russell, Roberta S., Wang, Gang Alan, Cook, Deborah F., Zobel, Christopher W.
PublisherVirginia Tech
Source SetsVirginia Tech Theses and Dissertation
Detected LanguageEnglish
TypeDissertation
FormatETD, application/pdf
RightsIn Copyright, http://rightsstatements.org/vocab/InC/1.0/

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