Relativism in the Approach to Managing Supply Chain Maturity

Anna Baraniecka , Alicja Jajko-Siwek , Mariusz Szuster , Maciej Szymczak , Grażyna Wieteska

Abstract

Over the past 30 years, a number of models supporting assessmen t processes and development of supply chains have emerged. Such models make it possible to analyse the existing state of p rocesses in the supply chain and represent a source of guidance for streamlining these processes. Clear assignment of a certain lev el of maturity to a given supply chain can be a real challenge, when only part of the criteria for classification is fulfilled. The main scientific purpose of the paper is to propose an advanced statistical non-classical method as an approach to interpreting data from r esearch projects on the supply chain maturity. The method of classification trees has been used and presented in this paper as a tool to achieve reasonable and valuable findings. The proc edure of non-classical statistical analysis of the supply chain matur ity level in conjunction with an array of variables is intended to standardize the inference on the maturity of supply chains.
Author Anna Baraniecka (EMaT / DSMaL)
Anna Baraniecka,,
- Department of Strategic Management and Logistics
, Alicja Jajko-Siwek - [Poznań University of Economics and Business]
Alicja Jajko-Siwek,,
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, Mariusz Szuster - [Poznań University of Economics and Business]
Mariusz Szuster,,
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, Maciej Szymczak - [Poznań University of Economics and Business]
Maciej Szymczak,,
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, Grażyna Wieteska - [University of Lodz]
Grażyna Wieteska,,
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Journal seriesProcedia Engineering, ISSN 1877-7058, (4 pkt)
Issue year2017
Vol182
Pages50-57
Publication size in sheets0.5
Conference7th International Conference on Engineering, Project, and Production Management (EPPM2016), 21-09-2016 - 23-09-2016, Białystok, Polska
Keywords in English supply chain management; supply chain maturity; supply chain m aturity assessment; classification trees in supply chain maturi ty assessment
DOIDOI:10.1016/j.proeng.2017.03.113
URL http://www.sciencedirect.com/science/journal/18777058
Languageen angielski
LicenseJournal (articles only); author's original; Uznanie Autorstwa - Użycie Niekomercyjne - Bez utworów zależnych (CC-BY-NC-ND); after publication
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Score (nominal)15
Score sourceconferenceIndex
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