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Leveraging procurement-related knowledge through a fuzzy-based DSS: a refinement of purchasing portfolio models

Leveraging procurement-related knowledge through a fuzzy-based DSS: a refinement of purchasing... This paper aims to model a decision support system (DSS) that could overcome the oversimplified, subjective, compensatory decision logic of extant purchasing portfolio models (PPMs) by leveraging the firms’ procurement-related knowledge base.Design/methodology/approachThe DSS was developed through a fuzzy-based approach, whose design and application were framed within a case study in a multinational company.FindingsThe application of the fuzzy-based DSS to a product class suggests investing in the relationship with two specific suppliers and to loosen the relationship with a third one.Research limitations/implicationsExploiting the fuzzy set theory and fostering the elicitation of procurement-related knowledge from the decision-makers, the DSS effectively tackles the concerns about the existing PPMs by including strategic-oriented priorities and contextual constraints in the evaluation.Practical implicationsThe recommendations in output from the DSS are feasible, more analytical and easy to interpret, enabling knowledge sharing, group decision processes and better decision-making.Originality/valueTo the best of the authors’ knowledge, this manuscript is the first attempt to effectively integrate traditional PPMs with contextual, strategy-related factors to refine the purchasing directions and make them objective. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Knowledge Management Emerald Publishing

Leveraging procurement-related knowledge through a fuzzy-based DSS: a refinement of purchasing portfolio models

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Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
1367-3270
DOI
10.1108/jkm-10-2018-0614
Publisher site
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Abstract

This paper aims to model a decision support system (DSS) that could overcome the oversimplified, subjective, compensatory decision logic of extant purchasing portfolio models (PPMs) by leveraging the firms’ procurement-related knowledge base.Design/methodology/approachThe DSS was developed through a fuzzy-based approach, whose design and application were framed within a case study in a multinational company.FindingsThe application of the fuzzy-based DSS to a product class suggests investing in the relationship with two specific suppliers and to loosen the relationship with a third one.Research limitations/implicationsExploiting the fuzzy set theory and fostering the elicitation of procurement-related knowledge from the decision-makers, the DSS effectively tackles the concerns about the existing PPMs by including strategic-oriented priorities and contextual constraints in the evaluation.Practical implicationsThe recommendations in output from the DSS are feasible, more analytical and easy to interpret, enabling knowledge sharing, group decision processes and better decision-making.Originality/valueTo the best of the authors’ knowledge, this manuscript is the first attempt to effectively integrate traditional PPMs with contextual, strategy-related factors to refine the purchasing directions and make them objective.

Journal

Journal of Knowledge Management – Emerald Publishing

Published: Aug 14, 2019

Keywords: Purchasing; Decision-making; Knowledge management; Fuzzy sets; Case study; Decision support systems; Portfolio model

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