Identifying risk interdependencies in pharmaceutical supply chains through gamification-enabled structural modelling
Accepted version
Peer-reviewed
Repository URI
Repository DOI
Change log
Authors
Settanni, Ettore https://orcid.org/0000-0001-5174-9423
Srai, Jagjit Singh
Kumar, Mukesh https://orcid.org/0000-0002-1961-5078
Abstract
We develop an approach for the evaluation of interrelated risks that could compromise a pharmaceutical supply chain’s ability to serve patients, whereby experts conduct pairwise comparisons through an online gamification-enabled platform. Risks categorization based on structural modelling elevates their consideration beyond the single instance in which they are normally evaluated
Description
Keywords
Multi-method research, Supply Risk Management, Pharmaceutical Supply Chains
Journal Title
https://decisionsciences.org/wp-content/uploads/2019/02/dsi-2018-proceedings.pdf
Conference Name
49th Annual Meeting of the Decision Sciences Institute
Journal ISSN
2471-884X
Volume Title
Publisher
Decision Sciences Institute
Publisher DOI
Sponsorship
Birmingham City Council (35708-233529)
Engineering and Physical Sciences Research Council (EP/I033459/1)
Engineering and Physical Sciences Research Council (EP/I033459/1)
Advanced Manufacturing Supply Chain Initiative (Grant No. 35708-233529, ReMediES – Reconfiguring Medicines End-to-end supply)