The Human Factor in Supply Chain Risk Management
| dc.contributor.author | Kwaramba, Shingirai C. | en |
| dc.contributor.committeechair | Nottingham, Quinton J. | en |
| dc.contributor.committeemember | Russell, Roberta S. | en |
| dc.contributor.committeemember | Wang, Gang Alan | en |
| dc.contributor.committeemember | Cook, Deborah F. | en |
| dc.contributor.committeemember | Zobel, Christopher W. | en |
| dc.contributor.department | Management | en |
| dc.date.accessioned | 2019-02-05T09:01:15Z | en |
| dc.date.available | 2019-02-05T09:01:15Z | en |
| dc.date.issued | 2019-02-04 | en |
| dc.description.abstract | 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. | en |
| dc.description.abstractgeneral | 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. | en |
| dc.description.degree | Ph. D. | en |
| dc.format.medium | ETD | en |
| dc.identifier.other | vt_gsexam:18901 | en |
| dc.identifier.uri | http://hdl.handle.net/10919/87438 | en |
| dc.publisher | Virginia Tech | en |
| dc.rights | In Copyright | en |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
| dc.subject | human | en |
| dc.subject | behavior | en |
| dc.subject | supply chain | en |
| dc.subject | risk management | en |
| dc.title | The Human Factor in Supply Chain Risk Management | en |
| dc.type | Dissertation | en |
| thesis.degree.discipline | Business, Business Information Technology | en |
| thesis.degree.grantor | Virginia Polytechnic Institute and State University | en |
| thesis.degree.level | doctoral | en |
| thesis.degree.name | Ph. D. | en |
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