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Green port performance evaluation under uncertainty: A multiple attribute group decision analysis

Zhao, D. (author)
Bao, T. (author)
Cullinane, Kevin (author)
Gothenburg University,Göteborgs universitet,Företagsekonomiska institutionen, Industriell och Finansiell ekonomi & logistik,Department of Business Administration, Industrial and Financial Management & Logistics
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Wang, Y. (author)
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 (creator_code:org_t)
2021
2021
English.
In: International Journal of Shipping and Transport Logistics. - 1756-6517. ; 13:1-2, s. 130-155
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • This paper aims to assess the performance of a port within the context of its supply chain on the basis of integrating a five-dimensional balanced scorecard with green performance criteria. A multiple attribute group decision-making (MAGDM) approach is proposed which encompasses both intuitionistic fuzzy set theory and evidence theory in order to properly represent and aggregate the uncertain information which prevails within any process of such an evaluation. With an empirical application, the evaluation results provide effectively not only the ranking order of all alternative port enterprises, but also the strengths and weaknesses of each one, at the detailed level of individual performance attributes. Copyright © 2021 Inderscience Enterprises Ltd.

Subject headings

SAMHÄLLSVETENSKAP  -- Ekonomi och näringsliv -- Företagsekonomi (hsv//swe)
SOCIAL SCIENCES  -- Economics and Business -- Business Administration (hsv//eng)

Keyword

Evidence theory
Green port
IFS
Intuitionistic fuzzy set
MAGDM
Performance evaluation
Supply chain management

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ref (subject category)
art (subject category)

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Zhao, D.
Bao, T.
Cullinane, Kevin
Wang, Y.
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SOCIAL SCIENCES
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University of Gothenburg

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