Reducing data requirements when selecting key performance indicators for supply chain management: The case of a multinational automotive component manufacturer

Brint, A. orcid.org/0000-0002-8863-407X, Genovese, A. orcid.org/0000-0002-5652-4634, Piccolo, C. et al. (1 more author) (2021) Reducing data requirements when selecting key performance indicators for supply chain management: The case of a multinational automotive component manufacturer. International Journal of Production Economics, 233. 107967. ISSN 0925-5273

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2020 Published by Elsevier B.V. This is an author produced version of a paper subsequently published in International Journal of Production Economics. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Key performance indicators; TOPSIS; Principal component analysis; Supply chain management
Dates:
  • Accepted: 20 October 2020
  • Published (online): 21 October 2020
  • Published: March 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > Sheffield University Management School
Depositing User: Symplectic Sheffield
Date Deposited: 04 Jan 2021 12:26
Last Modified: 21 Apr 2022 00:39
Status: Published
Publisher: Elsevier BV
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.ijpe.2020.107967

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