http://scholars.ntou.edu.tw/handle/123456789/20594
Title: | A performance assessment approach for integrated solid waste management using a sustainable balanced scorecard approach | Authors: | Feng-Ming Tsai Tat-Dat Bui Ming-lang Tseng Kuo-Jui Wu Anthony SF. Chiu |
Keywords: | Integrated solid waste management;Sustainable balanced scorecard;Fuzzy delphi method;Interpretive structural modeling;Fuzzy decision-making trial-and-evaluation laboratory | Issue Date: | 1-Apr-2020 | Publisher: | ELSEVIER SCI LTD | Journal Volume: | 251 | Source: | J CLEAN PROD | Abstract: | This study aims to explore integrated solid waste management hierarchical interrelationships using a sustainable balance scorecard approach. The proposed analysis using the fuzzy Delphi method to exclude invalid attributes, interpretive structural modeling to arrange attributes into an extensive hierarchical model, and using a fuzzy decision-making trial-and-evaluation laboratory to examine the causal interrelationships among attributes. The solid waste management systems in Vietnam are generally inefficient due to a lack of proper administrative oversight, infrastructure, and adequate resource utilization. Integrated solid waste management is an important provision in public service systems. There is a need to propose and evaluate better management approaches to enhance waste process activities and increase sustainable performance. Collected qualitative information is converted into a crisp value for the evaluation process, and the qualitative data stem from the operations. This study measures 6 aspects and 24 criteria. The results showed that financial investment, stakeholder involvement, and innovation capacity are decisive causal aspects in which stakeholder involvement and innovation capacity are interrelated. The cost efficiency, stakeholder collaboration, flexibility/adaptability to environmental changes, availability of local technical skills, and knowledge acquisition and communication technologies are identified as the linkage criteria that present the highest driving and dependence powers to help decision makers achieve better operational performance. (C) 2019 Elsevier Ltd. All rights reserved. |
URI: | http://scholars.ntou.edu.tw/handle/123456789/20594 | ISSN: | 0959-6526 | DOI: | 10.1016/j.jclepro.2019.119740 |
Appears in Collections: | 航運管理學系 11 SUSTAINABLE CITIES & COMMUNITIES 12 RESPONSIBLE CONSUMPTION & PRODUCTION 15 LIFE ON LAND |
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