Identifying the appropriate governance model for green port management: Applying Analytic Network Process and Best-Worst methods to ports in the Indian Ocean Rim

JOURNAL OF CLEANER PRODUCTION

卷:268

Article

Munim, Ziaul Haque¹  Sornn-Friese, Henrik²  Dushenko, Mariia¹ 

[1] Univ South Eastern Norway, Fac Technol Nat & Maritime Sci, Notodden, Norway

[2] Copenhagen Business Sch, Dept Strategy & Innovat, Copenhagen, Denmark

关键词: Analytic network process;    Best-worst method;    Environmental performance;    Port governance;    Multi-criteria decision making;   

DOI  :  10.1016/j.jclepro.2020.122156

来源: Elsevier

【 摘 要 】

This study investigates the appropriate port governance model for implementation of green port management (GPM) practices. Relying on social systems engineering principles, we propose a multi-criteria decision-making (MCDM) framework considering four port governance models and five major GPM practice indicators. We validate the MCDM framework using survey data collected from top management executives of three ports in the Indian Ocean Rim - Bangladesh, Sri Lanka and Tanzania. We compare the Analytic Network Process (ANP) method with more recently developed Best-Worst Method (BWM) in analysis of the MCDM problem of finding the right port governance model for GPM. We collect data using the ANP and BWM survey in January 2019 and August 2019, respectively, from the same respondents. While participating in the study in January 2019, the respondents did not know that they would respond to the same MCDM problem using a different model, which corresponds to a repeated measures experimental design. In both analyses, we find that increasing privatization in port governance would enhance the implementation of GPM practices. Our study furthermore suggests that BWM is a reliable MCDM method with greater applicability than ANP, as it requires significantly lower number of judgement comparisons. (C) 2020 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

【 授权许可】

Free