Developing a hierarchical framework for assessing the strategic effectiveness of sustainable waste management in the Somaliland construction industry

Negash, Y. T., Hassan, A. M., Tseng, M.-L., Ali, M. H. and Lim, M. K. (2023) Developing a hierarchical framework for assessing the strategic effectiveness of sustainable waste management in the Somaliland construction industry. Environmental Science and Pollution Research, 30(25), pp. 67303-67325. (doi: 10.1007/s11356-023-27060-8) (PMID:37103710)

Abstract

This study contributes to develop a hierarchical framework for assessing the strategic effectiveness of waste management in the construction industry. This study identifies a valid set of strategic effectiveness attributes of sustainable waste management (SWM) in construction. Prior studies have neglected to develop a strategic effectiveness assessment framework for SWM to identify reduce, reuse, and recycle policy initiatives that ensure waste minimization and resource recovery programs. This study utilizes the fuzzy Delphi method to screen out nonessential attributes in qualitative information. This study initially proposes a set of 75 criteria; after two rounds of assessment, consensus regarding 28 criteria is achieved among experts, and the 28 criteria are validated. Fuzzy interpretive structural modeling divides the attributes into various elements. The modeling constructs a six-level model that depicts the interrelationships among the 28 validated criteria as a hierarchical framework, and it finds and ranks the optimal drivers for practical improvement. This study integrates the best–worst method to measure the weights of different criteria in the hierarchical strategic effectiveness framework. The findings reveal that waste management operational strategy, construction site waste management performance, and the mutual coordination level are the top aspects for assessing strategic effectiveness in the hierarchical framework. In practice, the waste reduction rate, the recycling rate, water and land usage, the reuse rate, and noise and air pollution levels are identified to assist policymakers in evaluation. The theoretical and managerial implications are discussed.

• Item Type: Articles
• Additional Information: This study was partially supported by MOST 110-2221-E-468-010, Ministry of Science and Technology, Taiwan.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Lim, Professor Ming
• Authors: Negash, Y. T., Hassan, A. M., Tseng, M.-L., Ali, M. H., and Lim, M. K.
• College/School: College of Social Sciences > Adam Smith Business School > Management
• Journal Name: Environmental Science and Pollution Research
• Publisher: Springer
• ISSN: 0944-1344
• ISSN (Online): 1614-7499
• Published Online: 27 April 2023
• Copyright Holders: Copyright © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023
• First Published: First published in Environmental Science and Pollution Research 30(25):67303-67325
• Publisher Policy: Reproduced in accordance with the publisher copyright policy