An Improved TOPSIS Model Based on Cumulative Prospect Theory: Application to ESG Performance Evaluation of State-Owned Mining Enterprises

The aim of this study is to provide a comprehensive decision-making method that can be applied to investment decisions based on the Environmental, Social and Governance (ESG) performance. The study contributes to the existing literature by introducing the CPT-TOPSIS model, a pioneering approach that...
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Gespeichert in:

Autor*in:	Jiahui Su [verfasserIn] Yidi Sun [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	TOPSIS cumulative prospect theory ESG performance evaluation state-owned mining enterprise

Übergeordnetes Werk:	In: Sustainability - MDPI AG, 2009, 15(2023), 13, p 10046
Übergeordnetes Werk:	volume:15 ; year:2023 ; number:13, p 10046

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/su151310046

Katalog-ID:	DOAJ09397485X

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spelling	10.3390/su151310046 doi (DE-627)DOAJ09397485X (DE-599)DOAJ9613a462abae44f9aadc86bba1e61e92 DE-627 ger DE-627 rakwb eng TD194-195 TJ807-830 GE1-350 Jiahui Su verfasserin aut An Improved TOPSIS Model Based on Cumulative Prospect Theory: Application to ESG Performance Evaluation of State-Owned Mining Enterprises 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The aim of this study is to provide a comprehensive decision-making method that can be applied to investment decisions based on the Environmental, Social and Governance (ESG) performance. The study contributes to the existing literature by introducing the CPT-TOPSIS model, a pioneering approach that incorporates the effect of non-rational factors on decision-making results in uncertain conditions by combining cumulative prospect theory (CPT) with the classic TOPSIS model. Moreover, by conducting an application to ESG evaluation on five state-owned mining enterprises in China, the study provides evidence of the effectiveness and improvement offered by the new model in comparison with the classic TOPSISI model and prospect theory TOPSIS (PT-TOPSIS) model. The results suggest that the CPT-TOPSIS model considers risk preferences and probability distortion in the decision-making process, narrows the gap between ESG scores, and makes ESG performance evaluation more realistic. TOPSIS cumulative prospect theory ESG performance evaluation state-owned mining enterprise Environmental effects of industries and plants Renewable energy sources Environmental sciences Yidi Sun verfasserin aut In Sustainability MDPI AG, 2009 15(2023), 13, p 10046 (DE-627)610604120 (DE-600)2518383-7 20711050 nnns volume:15 year:2023 number:13, p 10046 https://doi.org/10.3390/su151310046 kostenfrei https://doaj.org/article/9613a462abae44f9aadc86bba1e61e92 kostenfrei https://www.mdpi.com/2071-1050/15/13/10046 kostenfrei https://doaj.org/toc/2071-1050 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 15 2023 13, p 10046
allfields_unstemmed	10.3390/su151310046 doi (DE-627)DOAJ09397485X (DE-599)DOAJ9613a462abae44f9aadc86bba1e61e92 DE-627 ger DE-627 rakwb eng TD194-195 TJ807-830 GE1-350 Jiahui Su verfasserin aut An Improved TOPSIS Model Based on Cumulative Prospect Theory: Application to ESG Performance Evaluation of State-Owned Mining Enterprises 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The aim of this study is to provide a comprehensive decision-making method that can be applied to investment decisions based on the Environmental, Social and Governance (ESG) performance. The study contributes to the existing literature by introducing the CPT-TOPSIS model, a pioneering approach that incorporates the effect of non-rational factors on decision-making results in uncertain conditions by combining cumulative prospect theory (CPT) with the classic TOPSIS model. Moreover, by conducting an application to ESG evaluation on five state-owned mining enterprises in China, the study provides evidence of the effectiveness and improvement offered by the new model in comparison with the classic TOPSISI model and prospect theory TOPSIS (PT-TOPSIS) model. The results suggest that the CPT-TOPSIS model considers risk preferences and probability distortion in the decision-making process, narrows the gap between ESG scores, and makes ESG performance evaluation more realistic. TOPSIS cumulative prospect theory ESG performance evaluation state-owned mining enterprise Environmental effects of industries and plants Renewable energy sources Environmental sciences Yidi Sun verfasserin aut In Sustainability MDPI AG, 2009 15(2023), 13, p 10046 (DE-627)610604120 (DE-600)2518383-7 20711050 nnns volume:15 year:2023 number:13, p 10046 https://doi.org/10.3390/su151310046 kostenfrei https://doaj.org/article/9613a462abae44f9aadc86bba1e61e92 kostenfrei https://www.mdpi.com/2071-1050/15/13/10046 kostenfrei https://doaj.org/toc/2071-1050 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 15 2023 13, p 10046
allfieldsGer	10.3390/su151310046 doi (DE-627)DOAJ09397485X (DE-599)DOAJ9613a462abae44f9aadc86bba1e61e92 DE-627 ger DE-627 rakwb eng TD194-195 TJ807-830 GE1-350 Jiahui Su verfasserin aut An Improved TOPSIS Model Based on Cumulative Prospect Theory: Application to ESG Performance Evaluation of State-Owned Mining Enterprises 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The aim of this study is to provide a comprehensive decision-making method that can be applied to investment decisions based on the Environmental, Social and Governance (ESG) performance. The study contributes to the existing literature by introducing the CPT-TOPSIS model, a pioneering approach that incorporates the effect of non-rational factors on decision-making results in uncertain conditions by combining cumulative prospect theory (CPT) with the classic TOPSIS model. Moreover, by conducting an application to ESG evaluation on five state-owned mining enterprises in China, the study provides evidence of the effectiveness and improvement offered by the new model in comparison with the classic TOPSISI model and prospect theory TOPSIS (PT-TOPSIS) model. The results suggest that the CPT-TOPSIS model considers risk preferences and probability distortion in the decision-making process, narrows the gap between ESG scores, and makes ESG performance evaluation more realistic. TOPSIS cumulative prospect theory ESG performance evaluation state-owned mining enterprise Environmental effects of industries and plants Renewable energy sources Environmental sciences Yidi Sun verfasserin aut In Sustainability MDPI AG, 2009 15(2023), 13, p 10046 (DE-627)610604120 (DE-600)2518383-7 20711050 nnns volume:15 year:2023 number:13, p 10046 https://doi.org/10.3390/su151310046 kostenfrei https://doaj.org/article/9613a462abae44f9aadc86bba1e61e92 kostenfrei https://www.mdpi.com/2071-1050/15/13/10046 kostenfrei https://doaj.org/toc/2071-1050 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 15 2023 13, p 10046
allfieldsSound	10.3390/su151310046 doi (DE-627)DOAJ09397485X (DE-599)DOAJ9613a462abae44f9aadc86bba1e61e92 DE-627 ger DE-627 rakwb eng TD194-195 TJ807-830 GE1-350 Jiahui Su verfasserin aut An Improved TOPSIS Model Based on Cumulative Prospect Theory: Application to ESG Performance Evaluation of State-Owned Mining Enterprises 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The aim of this study is to provide a comprehensive decision-making method that can be applied to investment decisions based on the Environmental, Social and Governance (ESG) performance. The study contributes to the existing literature by introducing the CPT-TOPSIS model, a pioneering approach that incorporates the effect of non-rational factors on decision-making results in uncertain conditions by combining cumulative prospect theory (CPT) with the classic TOPSIS model. Moreover, by conducting an application to ESG evaluation on five state-owned mining enterprises in China, the study provides evidence of the effectiveness and improvement offered by the new model in comparison with the classic TOPSISI model and prospect theory TOPSIS (PT-TOPSIS) model. The results suggest that the CPT-TOPSIS model considers risk preferences and probability distortion in the decision-making process, narrows the gap between ESG scores, and makes ESG performance evaluation more realistic. TOPSIS cumulative prospect theory ESG performance evaluation state-owned mining enterprise Environmental effects of industries and plants Renewable energy sources Environmental sciences Yidi Sun verfasserin aut In Sustainability MDPI AG, 2009 15(2023), 13, p 10046 (DE-627)610604120 (DE-600)2518383-7 20711050 nnns volume:15 year:2023 number:13, p 10046 https://doi.org/10.3390/su151310046 kostenfrei https://doaj.org/article/9613a462abae44f9aadc86bba1e61e92 kostenfrei https://www.mdpi.com/2071-1050/15/13/10046 kostenfrei https://doaj.org/toc/2071-1050 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 15 2023 13, p 10046
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callnumber-first	T - Technology
author	Jiahui Su
spellingShingle	Jiahui Su misc TD194-195 misc TJ807-830 misc GE1-350 misc TOPSIS misc cumulative prospect theory misc ESG performance evaluation misc state-owned mining enterprise misc Environmental effects of industries and plants misc Renewable energy sources misc Environmental sciences An Improved TOPSIS Model Based on Cumulative Prospect Theory: Application to ESG Performance Evaluation of State-Owned Mining Enterprises
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topic_title	TD194-195 TJ807-830 GE1-350 An Improved TOPSIS Model Based on Cumulative Prospect Theory: Application to ESG Performance Evaluation of State-Owned Mining Enterprises TOPSIS cumulative prospect theory ESG performance evaluation state-owned mining enterprise
topic	misc TD194-195 misc TJ807-830 misc GE1-350 misc TOPSIS misc cumulative prospect theory misc ESG performance evaluation misc state-owned mining enterprise misc Environmental effects of industries and plants misc Renewable energy sources misc Environmental sciences
topic_unstemmed	misc TD194-195 misc TJ807-830 misc GE1-350 misc TOPSIS misc cumulative prospect theory misc ESG performance evaluation misc state-owned mining enterprise misc Environmental effects of industries and plants misc Renewable energy sources misc Environmental sciences
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title	An Improved TOPSIS Model Based on Cumulative Prospect Theory: Application to ESG Performance Evaluation of State-Owned Mining Enterprises
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title_full	An Improved TOPSIS Model Based on Cumulative Prospect Theory: Application to ESG Performance Evaluation of State-Owned Mining Enterprises
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title_sort	improved topsis model based on cumulative prospect theory: application to esg performance evaluation of state-owned mining enterprises
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title_auth	An Improved TOPSIS Model Based on Cumulative Prospect Theory: Application to ESG Performance Evaluation of State-Owned Mining Enterprises
abstract	The aim of this study is to provide a comprehensive decision-making method that can be applied to investment decisions based on the Environmental, Social and Governance (ESG) performance. The study contributes to the existing literature by introducing the CPT-TOPSIS model, a pioneering approach that incorporates the effect of non-rational factors on decision-making results in uncertain conditions by combining cumulative prospect theory (CPT) with the classic TOPSIS model. Moreover, by conducting an application to ESG evaluation on five state-owned mining enterprises in China, the study provides evidence of the effectiveness and improvement offered by the new model in comparison with the classic TOPSISI model and prospect theory TOPSIS (PT-TOPSIS) model. The results suggest that the CPT-TOPSIS model considers risk preferences and probability distortion in the decision-making process, narrows the gap between ESG scores, and makes ESG performance evaluation more realistic.
abstractGer	The aim of this study is to provide a comprehensive decision-making method that can be applied to investment decisions based on the Environmental, Social and Governance (ESG) performance. The study contributes to the existing literature by introducing the CPT-TOPSIS model, a pioneering approach that incorporates the effect of non-rational factors on decision-making results in uncertain conditions by combining cumulative prospect theory (CPT) with the classic TOPSIS model. Moreover, by conducting an application to ESG evaluation on five state-owned mining enterprises in China, the study provides evidence of the effectiveness and improvement offered by the new model in comparison with the classic TOPSISI model and prospect theory TOPSIS (PT-TOPSIS) model. The results suggest that the CPT-TOPSIS model considers risk preferences and probability distortion in the decision-making process, narrows the gap between ESG scores, and makes ESG performance evaluation more realistic.
abstract_unstemmed	The aim of this study is to provide a comprehensive decision-making method that can be applied to investment decisions based on the Environmental, Social and Governance (ESG) performance. The study contributes to the existing literature by introducing the CPT-TOPSIS model, a pioneering approach that incorporates the effect of non-rational factors on decision-making results in uncertain conditions by combining cumulative prospect theory (CPT) with the classic TOPSIS model. Moreover, by conducting an application to ESG evaluation on five state-owned mining enterprises in China, the study provides evidence of the effectiveness and improvement offered by the new model in comparison with the classic TOPSISI model and prospect theory TOPSIS (PT-TOPSIS) model. The results suggest that the CPT-TOPSIS model considers risk preferences and probability distortion in the decision-making process, narrows the gap between ESG scores, and makes ESG performance evaluation more realistic.
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title_short	An Improved TOPSIS Model Based on Cumulative Prospect Theory: Application to ESG Performance Evaluation of State-Owned Mining Enterprises
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An Improved TOPSIS Model Based on Cumulative Prospect Theory: Application to ESG Performance Evaluation of State-Owned Mining Enterprises

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Zugang & Verfügbarkeit

Vorhandene Bände

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