The Sourcing Decision-Making Process in the Era of Digitalization: A New Quantitative Methodology

A. Mohammed, Ana Beatriz Lopes de Sousa Jabbour (), L. Koh, N. Hubbard, C.J. Chiappetta Jabbour and T. Al Ahmed
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Ana Beatriz Lopes de Sousa Jabbour: Métis Lab EM Normandie - EM Normandie - École de Management de Normandie = EM Normandie Business School

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Abstract: Supply chain managers are coming under pressure to accommodate multiple demands in their decision-making processes, including consideration of environmental-friendly, resilient, and digitally integrated supply chains. And a supplier selection and order allocation (SS/OA) solution that integrates such demands has not yet been identified. Thus, this article proposes a framework that integrates digitalization, economic, green, and resilient SS/OA criteria and tests this framework by means of multi-attribute decision-making (MADM) algorithms and multi-objective optimization approach methodologies. The applied methodologies can help purchasing managers to better evaluate suppliers based on multiple criteria and take direct action towards improving priority areas and order allocation. This article advances the current debate on supplier selection by proposing and testing an integrated framework, called `digitalized econogresilience'. \textcopyright 2022 Elsevier Ltd

Keywords: decision making; Digitalization; logistics; Logistics; optimization; quantitative analysis; Supplier selection; supply chain management; Supply chain management; sustainability; Sustainability (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (2)

Published in Transportation Research Part E: Logistics and Transportation Review, 2022, 168, ⟨10.1016/j.tre.2022.102948⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04276063

DOI: 10.1016/j.tre.2022.102948

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