Applying fuzzy interpretive structural modeling to evaluate responsible consumption and production under uncertainty
Abstract
Purpose
The purpose of this paper is to adopt fuzzy interpretive structural modeling (ISM) to develop a precise evaluation framework and provide a theoretical basis for enhancing the understanding of responsible consumption and production (RCP) in academic and industrial fields.
Design/methodology/approach
An integration of fuzzy set theory and ISM is proposed to maintain a higher level of consistency and reduce the uncertainty inherent in expert responses.
Findings
RCP can be categorized into seven levels, which represent the driving power from higher to lower. The top aspect is management style; the remaining aspects are stakeholder management, regulation compliance, efficiency improvement, sustainable awareness, sustainable production and social responsibility.
Research limitations/implications
This study attempts to integrate the triple bottom line (TBL) concept and corporate sustainability to develop a significant framework for evaluating RCP. Although the proposed aspects and criteria can be used to evaluate the Chinese construction industry, these may be insufficient for other industries. In addition, further discussion regarding important aspects and criteria is required to complete the theoretical basis.
Practical implications
The results indicate that the top two criteria are establishing transparent communication channels and promoting managerial attitudes and behavior, which are followed by technology capabilities, organizational culture and stakeholder engagement. These five criteria play important roles when implementing RCP practices among Chinese construction firms.
Originality/value
This study is the first to discuss RCP via an integration of the TBL concept and corporate sustainability. The framework developed herein provides a precise guideline for Chinese construction firms to improve their performance, and it also promotes the efficient use of resources via sustainable practices.
Keywords
Acknowledgements
The authors would like to express their deep appreciation to the Liaoning Association for Science and Technology Project (LNKX2016C17), National Natural Science Foundation of China (71701029), Liaoning Academy of Social Sciences Fund (L17BGL019), the National Social Science Funding Program (15BGL023) and the Dalian University of Technology Fundamental Research Fund (DUT16RC(3)038) for supporting this study.
Citation
Wang, L., Ma, L., Wu, K.-J., Chiu, A.S.F. and Nathaphan, S. (2018), "Applying fuzzy interpretive structural modeling to evaluate responsible consumption and production under uncertainty", Industrial Management & Data Systems, Vol. 118 No. 2, pp. 432-462. https://doi.org/10.1108/IMDS-03-2017-0109
Publisher
:Emerald Publishing Limited
Copyright © 2018, Emerald Publishing Limited