Predictive and prescriptive analytics for ESG performance evaluation: A case of Fortune 500 companies
| dc.contributor.author | Gorkem Sariyer | |
| dc.contributor.author | Sachin Kumar Kumar Mangla | |
| dc.contributor.author | Soumyadeb Chowdhury | |
| dc.contributor.author | Mert Erkan Sozen | |
| dc.contributor.author | Yigit Kazancoglu | |
| dc.contributor.author | Erkan Sozen, Mert | |
| dc.contributor.author | Kumar Mangla, Sachin | |
| dc.contributor.author | Kazancoglu, Yigit | |
| dc.contributor.author | Sariyer, Gorkem | |
| dc.contributor.author | Sozen, Mert Erkan | |
| dc.contributor.author | Chowdhury, Soumyadeb | |
| dc.contributor.author | Mangla, Sachin Kumar | |
| dc.date.accessioned | 2025-10-06T17:48:56Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | Given the growing importance of organizations’ environmental social and governance (ESG) performance studies employing AI-based techniques to generate insights from ESG data for investors and managers are limited. To bridge this gap this study proposes an AI-based multi-stage ESG performance prediction system consolidating clustering for identifying patterns within ESG data association rule mining for uncovering meaningful relationships deep learning for predictive accuracy and prescriptive analytics for actionable insights. This study is grounded in the big data analytics capability view that has emerged from the dynamic capabilities theory. The model is validated using an ESG dataset of 470 Fortune listed 500 companies obtained from the Refinitiv database. The model offers practical guidance for decision-makers to maintain or enhance their ESG scores crucial in a business landscape where ESG metrics significantly affect investor choices and public image. © 2024 Elsevier B.V. All rights reserved. | |
| dc.description.sponsorship | Soumyadeb Chowdhury is Associate Professor of Emerging Technology and Sustainability within the Information Management department in the TBS Business School (TBS Education). He is also the head of TBS Education Research Center of Excellance on Sustainable Development and CSR. Prior to joining TBS Education, he has worked in Aston Business School (UK), and Singapore Institute of Technology. He completed his PhD in Computing Science from the University of Glasgow. His research concerns artificial intelligence, blockchain technologies, the circular economy, employee mental health and business productivity. He has actively engaged with a broad range of industries to develop sustainable business solutions to improve and optimize operations and business processes and facilitate data-driven decision-making. He has published papers in international journals such as Business Strategy and the Environment, International Journal of Production Economics, and British Journal of Management. His research projects have been funded by the British Council, Royal Academy of Engineering, UK Research and Innovation, Grand Challenge Research Funds (Research Council UK). | |
| dc.description.sponsorship | Sachin Kumar Mangla is working in the field of Green and Sustainable Supply Chain and Operations; Industry 4.0; Circular Economy; Decision Making and Simulation. He has a teaching experience of more than five years in Supply Chain and Operations Management and Decision Making, and currently associated in teaching with various universities in UK, Turkey, India, China, France, etc. He is the director of Centre for “Digital Circular Economy for Sustainable Development Goals (DCE-SDG), O.P. Jindal Global University, India. He is committed to do and promote high quality research. He has published/presented several papers in repute international/national journals (Journal of Business Research; International Journal of Production Economics; International Journal of Production Research; Computers and Operations Research; Production Planning and Control; Business Strategy and the Environment;; Annals of Operations Research; Transportation Research Part-D; Transportation Research Part-E; Renewable and Sustainable Energy Reviews; Resource Conservation and Recycling; Information System Frontier; Journal of Cleaner Production; Management Decision; Industrial Data and Management System) and conferences (POMS, SOMS, IIIE, CILT – LRN, MCDM, GLOGIFT). He has an h-index 67, i10-index 141, Google Scholar Citations of 13500. He is involved in several editorial positions and editing couple of Special issues as a Guest Editor in top tier journals. Currently, he is working as an Associate Editor at Journal of Cleaner Production, International Journal of Logistics Management, Sustainable Production and Consumption, Corporate Social Responsibility and Environmental Management, and IMA Journal of Management Mathematics journals. He is also involved in several research projects on various issues and applications of Circular economy, Industry 4.0 and Sustainability. Among them, he contributed to the knowledge-based decision model in “Enhancing and implementing knowledge-based ICT solutions within high risk and uncertain conditions for agriculture production systems (RUC-APS)”, European Commission RISE scheme, €1.3M. Recently, he has also received a grant as a PI from British Council – Newton Fund Research Environment Links Turkey/UK – Circular and Industry 4.0 driven solutions for reducing food waste in supply chains. He is also working in several projects on Food Waste and Circular Economy and Industry 4.0 issues, sponsored by AICTE, ICSSR, Government of India. He received project funding for Food Waste Management in Circular Economy from the USERC, Government of India. He has also won the first prize for the prestigious Basant Kumar Birla Distinguished Scholar Award 2021. He was ranked 404 in the world and 10 in United Kingdom and was recognized with 2022 Rising Star of Science Award by Research.com. He was also ranked among the top 2% scientists in the world by the Stanford University. Recently, he also been awarded as a High-End Foreign Expert Talent Grant from Ministry of Science and Technology, China. He is also the member of NWO - Dutch Research Council - Circular Economy Committee. He is also an active member of The Future Earth Systems of Sustainable Consumption and Production Knowledge-Action Network (SSCP KAN). | |
| dc.description.sponsorship | Royal Academy of Engineering, UK Research and Innovation; British Council; Research Council UK; Grand Challenge Research Funds; Ministry of Science and Technology of the People's Republic of China, MOST | |
| dc.identifier.doi | 10.1016/j.jbusres.2024.114742 | |
| dc.identifier.issn | 01482963 | |
| dc.identifier.issn | 0148-2963 | |
| dc.identifier.issn | 1873-7978 | |
| dc.identifier.scopus | 2-s2.0-85195045020 | |
| dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195045020&doi=10.1016%2Fj.jbusres.2024.114742&partnerID=40&md5=aec394a6c94de9f0feed3c86a031a4ad | |
| dc.identifier.uri | https://gcris.yasar.edu.tr/handle/123456789/8177 | |
| dc.identifier.uri | https://doi.org/10.1016/j.jbusres.2024.114742 | |
| dc.language.iso | English | |
| dc.publisher | Elsevier Inc. | |
| dc.relation.ispartof | Journal of Business Research | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.source | Journal of Business Research | |
| dc.subject | Decision-making, Deep Learning, Esg Performance, Predictive Analytics, Prescriptive Analytics, Sustainability | |
| dc.subject | ESG Performance | |
| dc.subject | Deep Learning | |
| dc.subject | Prescriptive Analytics | |
| dc.subject | Decision-making | |
| dc.subject | Sustainability | |
| dc.subject | Predictive Analytics | |
| dc.title | Predictive and prescriptive analytics for ESG performance evaluation: A case of Fortune 500 companies | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| gdc.author.id | SÖZEN, Mert Erkan/0000-0002-7965-6461 | |
| gdc.author.id | Kazancoglu, Yigit/0000-0001-9199-671X | |
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| gdc.author.wosid | Chowdhury, Satyajit/KIE-3816-2024 | |
| gdc.author.wosid | Mangla, Sachin/B-7605-2017 | |
| gdc.author.wosid | Kazancoglu, Yigit/E-7705-2015 | |
| gdc.author.wosid | sariyer, gorkem/AAA-1524-2019 | |
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| gdc.description.departmenttemp | [Sariyer, Gorkem] Yasar Univ, Dept Business Adm, Izmir, Turkiye; [Mangla, Sachin Kumar] OP Jindal Global Univ, Jindal Global Business Sch, Operat Management, Sonipat, Haryana, India; [Mangla, Sachin Kumar] Univ Plymouth, Plymouth Business Sch, Knowledge Management & Business Decis Making, Plymouth PL4 8AA, England; [Chowdhury, Soumyadeb] TBS Business Sch, Informat Operat & Management Sci Dept, 1 Pl Alphonse Jourdain, F-31068 Toulouse, France; [Sozen, Mert Erkan] Izmir Metro Co, Business Dev & Budget Planning, Izmir, Turkiye; [Kazancoglu, Yigit] Yasar Univ, Dept Logist Management, Izmir, Turkiye | |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
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| gdc.virtual.author | Sözen, Mert Erkan | |
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| person.identifier.scopus-author-id | Sariyer- Gorkem (57189867008), Kumar Mangla- Sachin Kumar (55735821600), Chowdhury- Soumyadeb (57201962502), Erkan Sozen- Mert (59154207100), Kazancoglu- Yigit (15848066400) | |
| project.funder.name | Funding text 1: Soumyadeb Chowdhury is Associate Professor of Emerging Technology and Sustainability within the Information Management department in the TBS Business School (TBS Education). He is also the head of TBS Education Research Center of Excellance on Sustainable Development and CSR. Prior to joining TBS Education he has worked in Aston Business School (UK) and Singapore Institute of Technology. He completed his PhD in Computing Science from the University of Glasgow. His research concerns artificial intelligence blockchain technologies the circular economy employee mental health and business productivity. He has actively engaged with a broad range of industries to develop sustainable business solutions to improve and optimize operations and business processes and facilitate data-driven decision-making. He has published papers in international journals such as Business Strategy and the Environment International Journal of Production Economics and British Journal of Management. His research projects have been funded by the British Council Royal Academy of Engineering UK Research and Innovation Grand Challenge Research Funds (Research Council UK)., Funding text 2: Sachin Kumar Mangla is working in the field of Green and Sustainable Supply Chain and Operations, Industry 4.0, Circular Economy, Decision Making and Simulation. He has a teaching experience of more than five years in Supply Chain and Operations Management and Decision Making and currently associated in teaching with various universities in UK Turkey India China France etc. He is the director of Centre for \u201CDigital Circular Economy for Sustainable Development Goals (DCE-SDG) O.P. Jindal Global University India. He is committed to do and promote high quality research. He has published/presented several papers in repute international/national journals (Journal of Business Research, International Journal of Production Economics, International Journal of Production Research, Computers and Operations Research, Production Planning and Control, Business Strategy and the Environment,, Annals of Operations Research, Transportation Research Part-D, Transportation Research Part-E, Renewable and Sustainable Energy Reviews, Resource Conservation and Recycling, Information System Frontier, Journal of Cleaner Production, Management Decision, Industrial Data and Management System) and conferences (POMS SOMS IIIE CILT \u2013 LRN MCDM GLOGIFT). He has an h-index 67 i10-index 141 Google Scholar Citations of 13500. He is involved in several editorial positions and editing couple of Special issues as a Guest Editor in top tier journals. Currently he is working as an Associate Editor at Journal of Cleaner Production International Journal of Logistics Management Sustainable Production and Consumption Corporate Social Responsibility and Environmental Management and IMA Journal of Management Mathematics journals. He is also involved in several research projects on various issues and applications of Circular economy Industry 4.0 and Sustainability. Among them he contributed to the knowledge-based decision model in \u201CEnhancing and implementing knowledge-based ICT solutions within high risk and uncertain conditions for agriculture production systems (RUC-APS)\u201D European Commission RISE scheme \u20AC1.3M. Recently he has also received a grant as a PI from British Council \u2013 Newton Fund Research Environment Links Turkey/UK \u2013 Circular and Industry 4.0 driven solutions for reducing food waste in supply chains. He is also working in several projects on Food Waste and Circular Economy and Industry 4.0 issues sponsored by AICTE ICSSR Government of India. He received project funding for Food Waste Management in Circular Economy from the USERC Government of India. He has also won the first prize for the prestigious Basant Kumar Birla Distinguished Scholar Award 2021. He was ranked 404 in the world and 10 in United Kingdom and was recognized with 2022 Rising Star of Science Award by Research.com. He was also ranked among the top 2% scientists in the world by the Stanford University. Recently he also been awarded as a High-End Foreign Expert Talent Grant from Ministry of Science and Technology China. He is also the member of NWO - Dutch Research Council - Circular Economy Committee. He is also an active member of The Future Earth Systems of Sustainable Consumption and Production Knowledge-Action Network (SSCP KAN). | |
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