Abstract
Empirical research suggests that companies pursuing sustainable development have higher credit ratings and lower equity costs. However, a review of the literature shows that no consensus has been reached regarding sustainable development indicators or appropriate decision-making methods for investment in sustainable development enterprises (SDEs). To address this gap, we build a set of sustainable development indicators to guide investors in assessing SDEs, allowing for more informed investment decisions regarding these potential opportunities. Next, to account for the subjectivity of the indicators and the relative weight of investors in group decision-making, we combine a q-rung orthopair fuzzy set with the multiplicative multi-objective optimization by ratio analysis method and introduce an optimization-based consensus model. Finally, we verify the validity of the proposed framework using a practical example. This framework has practical significance for real-world SDE investment and contributes to the literature by introducing a new approach to multi-attribute group decision-making problems.
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Acknowledgements
This research was funded by the National Natural Science Foundation of China, Nos. 71742004, 71673194 for Xiang Deng, No. 71401116 for Jing Gu; No. 71771155 for Zeshui Xu; and the Graduate Student’s Research and Innovation Fund of Sichuan University, No. 2018YJSY001 for Xiang Cheng.
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Deng, X., Cheng, X., Gu, J. et al. An Innovative Indicator System and Group Decision Framework for Assessing Sustainable Development Enterprises. Group Decis Negot 30, 1201–1238 (2021). https://doi.org/10.1007/s10726-019-09647-0
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DOI: https://doi.org/10.1007/s10726-019-09647-0