Artificial Intelligence, ESG and Nation Brand: Pathways to Sustainable Development
DOI:
https://doi.org/10.55845/jos-2026-21136Keywords:
Artificial Intelligence (AI), ESG, Sustainability, Nation Brand, Political Stability, Sustainable DevelopmentAbstract
This study explores how national AI capability relates to sustainable development through ESG outcomes and nation brand perceptions. Using the techno-economic paradigm and social capital theory, the research integrates two global AI indices with country-level ESG and Nation Brand Index data across 51–56 countries. Results show AI performance positively associates with ESG outcomes, which in turn strengthens nation brand perceptions especially in politically stable environments. The Tortoise AI Index demonstrates both direct and ESG-mediated links to nation brand, while the Oxford AI Readiness Index connects to nation brand primarily via ESG. A gap-based clustering identifies four national profiles (AI-dominant, ESG/NBI-dominant, balanced, and capacity-constrained) with corresponding strategic priorities. Overall, aligning AI deployment with ESG improvements, including climate action, social inclusion, and transparent governance, may enhance reputational standing and advance Sustainable Development Goals. The proposed framework offers policymakers a practical diagnostic tool, though findings should be interpreted cautiously given the cross-sectional, perception-based design.
Downloads
References
Acemoglu, D. (2025). The simple macroeconomics of AI. Economic Policy, 40(121), 13–58. https://doi.org/10.1093/epolic/eiae042 DOI: https://doi.org/10.1093/epolic/eiae042
Agosto, A., & Tanda, A. (2025). Divergence and aggregation of ESG ratings: A survey. Open Research Europe, 5(28), 28. DOI: https://doi.org/10.12688/openreseurope.19238.2
Aguilera-Cora, E., Fernández-Cavia, J., & Codina, L. (2025). Place branding and sustainable development: A scoping review. Place Branding and Public Diplomacy, 21(1), 15-30. https://doi.org/10.1057/s41254-024-00338-5 DOI: https://doi.org/10.1057/s41254-024-00338-5
Alfayan, M., & Hagras, H. (2025). Towards an Explainable Artificial Intelligence approach for smart grid systems. Discover Artificial Intelligence, 5(1), 1-20. https://doi.org/10.1007/s44163-025-00261-5 DOI: https://doi.org/10.1007/s44163-025-00261-5
Alkrush, A. A., Salem, M. S., Abdelrehim, O., & Hegazi, A. A. (2024). Data centers cooling: A critical review of techniques, challenges, and energy saving solutions. International Journal of Refrigeration, 160, 246-262. https://doi.org/10.1016/j.ijrefrig.2024.02.007 DOI: https://doi.org/10.1016/j.ijrefrig.2024.02.007
Alzoubi, Y. I., & Mishra, A. (2024). Green artificial intelligence initiatives: Potentials and challenges. Journal of Cleaner Production, 468, 143090. https://doi.org/10.1016/j.jclepro.2024.143090 DOI: https://doi.org/10.1016/j.jclepro.2024.143090
Amiraslani, H., Lins, K. V., Servaes, H., & Tamayo, A. (2023). Trust, social capital, and the bond market benefits of ESG performance. Review of accounting studies, 28(2), 421-462. https://doi.org/10.1007/s11142-021-09646-0 DOI: https://doi.org/10.1007/s11142-021-09646-0
Anholt, S. (2005). Anholt nation brands index: how does the world see America?. Journal of Advertising Research, 45(3), 296-304. https://doi.org/10.1017/S0021849905050336 DOI: https://doi.org/10.1017/S0021849905050336
Anholt, S. (2007). Competitive identity: The new brand management for nations, cities and regions. Palgrave Macmillan.
Anholt & Co. (2024). Nation Brands Index. https://www.anholt.co/ DOI: https://doi.org/10.4337/9781802207323.00023
Atz, U., Van Holt, T., Douglas, E., & Whelan, T. (2020). The return on sustainability investment (ROSI): Monetizing financial benefits of sustainability actions in companies. In Sustainable consumption and production, volume II: Circular economy and beyond (pp. 303-354). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-55285-5_14 DOI: https://doi.org/10.1007/978-3-030-55285-5_14
Avramov, D., Cheng, S., Lioui, A., & Tarelli, A. (2022). Sustainable investing with ESG rating uncertainty. Journal of Financial Economics, 145(2), 642–664. https://doi.org/10.1016/j.jfineco.2021.09.009 DOI: https://doi.org/10.1016/j.jfineco.2021.09.009
Bergougui, B. (2025). Can Artificial Intelligence Technologies Advance Environmental Sustainability? The Role of Institutional Adaptability and Skill-Biased Technological Transformation. Sustainable Development 1–23. https://doi.org/10.1002/sd.70296. DOI: https://doi.org/10.1002/sd.70296
Bolón-Canedo, V., Morán-Fernández, L., Cancela, B., & Alonso-Betanzos, A. (2024). A review of green artificial intelligence: Towards a more sustainable future. Neurocomputing, 599, 128096. https://doi.org/10.1016/j.neucom.2024.128096 DOI: https://doi.org/10.1016/j.neucom.2024.128096
Boulouta, I., & Pitelis, C. N. (2014). Who needs CSR? The impact of corporate social responsibility on national competitiveness. Journal of business ethics, 119(3), 349-364. https://doi.org/10.1007/s10551-013-1633-2 DOI: https://doi.org/10.1007/s10551-013-1633-2
Brynjolfsson, E., Chandar, B., & Chen, R. (2025). Canaries in the coal mine? six facts about the recent employment effects of artificial intelligence. Digital Economy.
Burnaev, E., Mironov, E., Shpilman, A., Mironenko, M., & Katalevsky, D. (2023). Practical AI cases for solving ESG challenges. Sustainability, 15(17), 12731. https://doi.org/10.3390/su151712731 DOI: https://doi.org/10.3390/su151712731
Busenitz, L. W., Gomez, C., & Spencer, J. W. (2000). Country institutional profiles: Unlocking entrepreneurial phenomena. Academy of Management Journal, 43(5), 994–1003. https://doi.org/10.5465/1556423 DOI: https://doi.org/10.2307/1556423
Cerutti, M. E. M., Pascual, A. I. G., Kido, Y., Li, L., Melina, M. G., Tavares, M. M. M., & Wingender, M. P. (2025). Global Impact of AI: Mind the Gap (No. 2025/076). International Monetary Fund. DOI: https://doi.org/10.5089/9798229008570.001
Chen, J., N. Wang, T. Lin, B. Liu, and J. Hu. (2024). Shock or Empowerment? Artificial Intelligence Technology and Corporate ESG Performance. Economic Analysis and Policy 83: 1080–1096. https://doi.org/10.1016/j.eap.2024.08.004 DOI: https://doi.org/10.1016/j.eap.2024.08.004
Chen, A., Zhao, G., He, Z., & Ma, L. (2025). Reputation of the emerging market companies: does ESG rating help?. Journal of Business Ethics, 1-17. https://doi.org/10.1007/s10551-025-06096-5 DOI: https://doi.org/10.1007/s10551-025-06096-5
Chen, W., and G. Victor. (2025). Artificial Intelligence, Financial Development, and Energy Efficiency: Synergistic Pathways to Environmental Sustainability in High-Income Economies. Sustainable Development 1–16. https://doi.org/10.1002/sd.70600 DOI: https://doi.org/10.1002/sd.70600
Chun, Y., Hur, J., & Hwang, J. (2024). AI technology specialization and national competitiveness. PLUS ONE, 19(4), e0301091. https://doi.org/10.1371/journal.pone.0301091 DOI: https://doi.org/10.1371/journal.pone.0301091
Connelly, B. L., Certo, S. T., Ireland, R. D., & Reutzel, C. R. (2011). Signaling theory: A review and assessment. Journal of management, 37(1), 39-67. https://doi.org/10.1177/0149206310388419 DOI: https://doi.org/10.1177/0149206310388419
Dias, G. P., Silva, M. E., & Viana, F. L. E. (2024). Contributions of social capital to supply chain sustainability practices: Conceptual framework and propositions. Cleaner Logistics and Supply Chain, 11, 100151. https://doi.org/10.1016/j.clscn.2024.100151 DOI: https://doi.org/10.1016/j.clscn.2024.100151
Dineri, E., Bilginer Özsaatcı, F. G., Kılıç, Y., Çiğdem, Ş., & Sayar, G. (2024). Unveiling the Power of Nation Branding: Exploring the Impact of Economic Factors on Global Image Perception. Sustainability, 16(16), 6950. https://doi.org/10.3390/su16166950 DOI: https://doi.org/10.3390/su16166950
Dinnie, K. (2023). Nation branding: Concepts, issues, practice (3rd ed.). Routledge. DOI: https://doi.org/10.4324/9781003100249-2
Elliot, S., & Papadopoulos, N. (2016). Of products and tourism destinations: An integrative, cross-national study of place image. Journal of Business Research, 69(3), 1157–1165. https://doi.org/10.1016/j.jbusres.2015.08.031 DOI: https://doi.org/10.1016/j.jbusres.2015.08.031
Fenwick, A., Molnar, G. & Frangos, P. (2024). The critical role of HRM in AI-driven digital transformation: a paradigm shift to enable firms to move from AI implementation to human-centric adoption. Discover Artificial Intelligence 4, 34. https://doi.org/10.1007/s44163-024-00125-4 DOI: https://doi.org/10.1007/s44163-024-00125-4
Fetscherin, M. (2010). The determinants and measurement of a country brand: The country brand strength index. International Marketing Review, 27(4), 466–479. https://doi.org/10.1108/02651331011058617 DOI: https://doi.org/10.1108/02651331011058617
Freeman, C., & Perez, C. (1988). Structural crises of adjustment: business cycles. Technical change and economic theory. Londres: Pinter.
Greif, L., Kimmig, A., El Bobbou, S. et al. (2024). Strategic view on the current role of AI in advancing environmental sustainability: a SWOT analysis. Discover Artificial Intelligence 4, 45. https://doi.org/10.1007/s44163-024-00146-z DOI: https://doi.org/10.1007/s44163-024-00146-z
Hao, A. W., Paul, J., Trott, S., Guo, C., & Wu, H.-H. (2021). Two decades of research on nation branding. International Marketing Review, 38(1), 46–69. https://doi.org/10.1108/IMR-01-2019-0028 DOI: https://doi.org/10.1108/IMR-01-2019-0028
Häuberer, J. (2011). Social capital theory (Vol. 4). Berlin: Springer Fachmedien. DOI: https://doi.org/10.1007/978-3-531-92646-9
Hayes, A. F. (2017). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. Guilford publications.
Holden, E., Linnerud, K., & Banister, D. (2017). The imperatives of sustainable development. Sustainable Development, 25(3), 213–226. https://doi.org/10.1002/sd.1647 DOI: https://doi.org/10.1002/sd.1647
Hopwood, B., Mellor, M., & O'Brien, G. (2005). Sustainable development: mapping different approaches. Sustainable development, 13(1), 38-52. https://doi.org/10.1002/sd.244 DOI: https://doi.org/10.1002/sd.244
Huang, R., & Mao, S. (2024). Carbon footprint management in global supply chains: A data-driven approach utilizing artificial intelligence algorithms. IEEE Access, 12, 89957-89967. DOI: https://doi.org/10.1109/ACCESS.2024.3407839
International Monetary Fund [IMF]. (2024). World economic outlook 2024. https://data.imf.org/en/Datasets DOI: https://doi.org/10.5089/9798400279300.011
International Telecommunication Union [ITU]. (2024). Data Hub: Individuals using the Internet. https://datahub.itu.int/data/?e=701&c=&i=11624
Jeon, G. (2025a). Rethinking competitiveness in the age of AI: A comparative index-based approach. Journal of International Development. https://doi.org/10.1002/jid.70018 DOI: https://doi.org/10.1002/jid.70018
Jeon, G. (2025b). Leveraging ESG performance: A global analysis of national AI capabilities and sustainability. Business Strategy and Development, 8(3), 45–60. https://doi.org/10.1002/bsd2.70162 DOI: https://doi.org/10.1002/bsd2.70162
Jeon, G. (2025c). Exploring perception-reality gap in nation brand with a new model. Place Branding and Public Diplomacy, 21(3), 123–135. https://doi.org/10.1057/s41254-025-00394-5 DOI: https://doi.org/10.1057/s41254-025-00394-5
Jing, H., & Zhang, S. (2024). The impact of artificial intelligence on ESG performance of manufacturing firms: The mediating role of ambidextrous green innovation. Systems, 12(11), 499. https://doi.org/10.3390/systems12110499 DOI: https://doi.org/10.3390/systems12110499
Kalamova, M. M., & Konrad, K. A. (2010). Nation brands and foreign direct investment. Kyklos, 63(3), 400-431. DOI: https://doi.org/10.1111/j.1467-6435.2010.00480.x
Kim, K. & Hwang, K. (2025). The Causal Effect of ESG outcome on a National Brand: An Empirical Analysis of OECD Countries. Journal of Business Convergence, 10(1), 253-258. DOI: https://doi.org/10.31152/JB.2025.02.10.1.253
King, A. A., Lenox, M. J., & Terlaak, A. (2005). The strategic use of decentralized institutions: Exploring certification with the ISO 14001 management standard. Academy of Management Journal, 48(6), 1091–1106. https://doi.org/10.5465/amj.2005.19573111 DOI: https://doi.org/10.5465/amj.2005.19573111
Koh, H. K., Burnasheva, R., & Suh, Y. G. (2022). Perceived ESG (environmental, social, governance) and consumers’ responses: The mediating role of brand credibility, brand image, and perceived quality. Sustainability, 14(8), 4515. https://doi.org/10.3390/su14084515 DOI: https://doi.org/10.3390/su14084515
Kwilinski, A., Lyulyov, O., & Pimonenko, T. (2023). Environmental sustainability within attaining sustainable development goals: The role of digitalization and the transport sector. Sustainability, 15(14), 11282. DOI: https://doi.org/10.3390/su151411282
Lahrech, A., Katariina, J, & Mohamed, E. A. (2020). Toward more rigorous country brand assessments: the modified country brand strength index. International Marketing Review, 37(2), 319-344. https://doi.org/10.1108/IMR-06-2019-0152 DOI: https://doi.org/10.1108/IMR-06-2019-0152
Laureti, L., Alberto, C., & Leogrande, A. (2023). The role of government effectiveness in the light of ESG data at global level. Available at SSRN 4324938. http://dx.doi.org/10.2139/ssrn.4324938 DOI: https://doi.org/10.2139/ssrn.4324938
Le Blanc, D. (2015). Towards integration at last? The sustainable development goals as a network of targets. Sustainable Development, 23(3), 176-187. https://doi.org/10.1002/sd.1582 DOI: https://doi.org/10.1002/sd.1582
Lin, J., K. Liu, and S. Wu. (2025). Artificial Intelligence for Sustainable Development in Chinese Agricultural Firms: The Roles of Sustainable Supply Chain Integration, Innovation, and Government Intervention. Sustainable Development 1–34. https://doi.org/10.1002/sd.70578. DOI: https://doi.org/10.1002/sd.70578
Lindberg, D.G. (2025). Harnessing AI for smart manufacturing: insights from Industry 4.0. Discover Artificial Intelligence 5, 111. https://doi.org/10.1007/s44163-025-00363-0 DOI: https://doi.org/10.1007/s44163-025-00363-0
Maiz-Bar, C., Molares-Cardoso, J., & Badenes-Pla, V. (2025). Reviewing nation branding indexes: an approach to their methodologies and results. Encyclopedia, 5(2), 43. https://doi.org/10.3390/encyclopedia5020043 DOI: https://doi.org/10.3390/encyclopedia5020043
Manikandan, S., Kaviya, R. S., Shreeharan, D. H., Subbaiya, R., Vickram, S., Karmegam, N., ... & Govarthanan, M. (2025). Artificial intelligence‐driven sustainability: Enhancing carbon capture for sustainable development goals–A review. Sustainable Development, 33(2), 2004-2029. https://doi.org/10.1002/sd.3222 DOI: https://doi.org/10.1002/sd.3222
Martínez‐Ferrero, J., & García‐Meca, E. (2020). Internal corporate governance strength as a mechanism for achieving sustainable development goals. Sustainable Development, 28(5), 1181–1189. https://doi.org/10.1002/sd.2068 DOI: https://doi.org/10.1002/sd.2068
Mashiah, I. (2024). We are a hub for tech, innovation, and entrepreneurship: how places use tech-driven storytelling for nation branding. Place Branding and Public Diplomacy, 20(4), 451-467. https://doi.org/10.1057/s41254-024-00341-w DOI: https://doi.org/10.1057/s41254-024-00341-w
McKinsey Global Institute. (2024). Gen AI’s productivity possibilities: https://www.mckinsey.com/featured-insights/week-in-charts/gen-ais-productivity-possibilities
Minkkinen, M., Niukkanen, A., & Mäntymäki, M. (2024). What about investors? ESG analyses as tools for ethics-based AI auditing. AI & society, 39(1), 329-343. https://doi.org/10.1007/s00146-022-01415-0 DOI: https://doi.org/10.1007/s00146-022-01415-0
Mohammad, K. U., Hussain, M. M., & Adnan, N. U. H. (2025). Risk-taking channel of monetary policy and the role of ESG and political instability: evidence from South Asia. International Economics and Economic Policy, 22(3), 1-25. https://doi.org/10.1007/s10368-025-00674-8 DOI: https://doi.org/10.1007/s10368-025-00674-8
Nas, A. (2023). Nation branding and sustainability: A comparative analysis of European countries. Connectist: Istanbul University Journal of Communication Sciences, (64), 183-211. https://doi.org/10.26650/CONNECTIST2023-1180834 DOI: https://doi.org/10.26650/CONNECTIST2023-1180834
Naveed, K., M. B. Farooq, M. K. Zahir-Ul-Hassan, and F. Rauf. (2025). AI Adoption, ESG Disclosure Quality, and Sustainability Committee Heterogeneity: Evidence From Chinese Companies. Meditari Accountancy Research 33(2): 708–732. https://doi.org/10.1108/MEDAR-02-2024-2374 DOI: https://doi.org/10.1108/MEDAR-02-2024-2374
Nye, J. S. (2004). Soft power: The means to success in world politics. Public Affairs.
Oxford Insights. (2024). Government AI readiness index 2024. Oxford Insights. https://oxfordinsights.com/ai-readiness/ai-readiness-index/
Pagliei, C., & Demartini, P. (2023). Can we trust ESG Ratings? Management Control: supplemento 2, 2023, 161-187. https://www.francoangeli.it/riviste/Scheda_rivista.aspx?IDArticolo=74060
Pamment, J. (2014). Articulating influence: Toward a research agenda for interpreting the evaluation of soft power, public diplomacy and nation brands. Public Relations Review, 40(1), 50-59. https://doi.org/10.1016/j.pubrev.2013.11.019 DOI: https://doi.org/10.1016/j.pubrev.2013.11.019
Perez, C. (2010). Technological revolutions and techno-economic paradigms. Cambridge journal of economics, 34(1), 185-202. https://doi.org/10.1093/cje/bep051 DOI: https://doi.org/10.1093/cje/bep051
Putnam, R. D., Nanetti, R. Y., & Leonardi, R. (1994). Making democracy work: Civic traditions in modern Italy. DOI: https://doi.org/10.1515/9781400820740
Rane, N., Choudhary, S., & Rane, J. (2024). Artificial intelligence driven approaches to strengthening Environmental, Social, and Governance (ESG) criteria in sustainable business practices: a review. Social, and Governance (ESG) criteria in sustainable business practices: a review (May 27, 2024). DOI: https://doi.org/10.2139/ssrn.4843215
Rojas-Mendez, J. I., & Khoshnevis, M. (2023). Conceptualizing nation branding: The systematic literature review. Journal of Product & Brand Management, 32(1), 107–123. https://doi.org/10.1108/JPBM-04-2021-3444 DOI: https://doi.org/10.1108/JPBM-04-2021-3444
Rosa, L., & Decourt, R. (2025). ESG: A Techno-Economic Paradigm in the process of eruption? Available at SSRN 5166715. https://ssrn.com/abstract=5166715 DOI: https://doi.org/10.2139/ssrn.5166715
Rousseeuw, P. J. (1987). Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. Journal of computational and applied mathematics, 20, 53-65. https://doi.org/10.1016/0377-0427(87)90125-7 DOI: https://doi.org/10.1016/0377-0427(87)90125-7
Sætra, H. S. (2021). A Framework for Evaluating and Disclosing the ESG Related Impacts of AI with the SDGs. Sustainability, 13(15), 8503. https://doi.org/10.3390/su13158503 DOI: https://doi.org/10.3390/su13158503
Sætra, H. S. (2023). The AI ESG protocol: Evaluating and disclosing the environment, social, and governance implications of artificial intelligence capabilities, assets, and activities. Sustainable development, 31(2), 1027-1037. https://doi.org/10.1002/sd.2438 DOI: https://doi.org/10.1002/sd.2438
Saltelli, A., Aleksankina, K., Becker, W., Fennell, P., Ferretti, F., Holst, N., ... & Wu, Q. (2019). Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices. Environmental modelling & software, 114, 29-39. https://doi.org/10.1016/j.envsoft.2019.01.012 DOI: https://doi.org/10.1016/j.envsoft.2019.01.012
Schoeneman, J., & Fullerton, J. (2023). Exploring relationships between nation branding and foreign direct investment. Place Branding and Public Diplomacy, 19(3), 266-279. https://doi.org/10.1057/s41254-022-00264-4 DOI: https://doi.org/10.1057/s41254-022-00264-4
Stanford HAI. (2024). Artificial intelligence index report 2024. Stanford Human-Centered Artificial Intelligence. https://hai.stanford.edu/research/ai-index-2024
Statista. (2025). Artificial Intelligence: in-depth market analysis. https://www.statista.com/study/50485/in-depth-report-artificial-intelligence/
Suchman, M. C. (1995). Managing legitimacy: Strategic and institutional approaches. Academy of management review, 20(3), 571-610. https://doi.org/10.5465/amr.1995.9508080331 DOI: https://doi.org/10.2307/258788
Tiwari, S., K. S. Mohammed, and D. Balsalobre-Lorente. (2025a). Sustainable Development: Perspectives From Artificial Intelligence, Green Bonds, Green Economy, and Energy Innovation. Sustainable Development 1–15. https://doi.org/10.1002/sd.70603 DOI: https://doi.org/10.1002/sd.70603
Tiwari, S., P. Tzeremes, E. Kazemzadeh, H. Soltani, and B. Doğan. (2025b). Navigating the Future: AI, Global Supply Chains, and ESG for Sustainable Development. Sustainable Development 1–19. https://doi.org/10.1002/sd.70359 DOI: https://doi.org/10.1002/sd.70359
Tortoise Media. (2024). Global AI index 2024. https://www.tortoisemedia.com/data/global-ai
Tylecote, A. (2019). Biotechnology as a new techno-economic paradigm that will help drive the world economy and mitigate climate change. Research Policy, 48(4), 858-868. https://doi.org/10.1016/j.respol.2018.10.001 DOI: https://doi.org/10.1016/j.respol.2018.10.001
UNESCO Institute for Statistics. (2024). Global education statistics: Tertiary education enrollment rates. https://databrowser.uis.unesco.org/browser/EDUCATION/UIS-SDG4Monitoring
United Nations. (2015). Transforming our world: The 2030 agenda for sustainable development. United Nations General Assembly. https://sdgs.un.org/2030agenda
United Nations. (2024). World Population Prospects 2024. UN Population Division Data Portal. https://population.un.org/dataportal/home?df=4748e3e8-f431-4699-a62e-30e6d1c835ce
Vifell, Å. C., & Soneryd, L. (2012). Organizing matters: how ‘the social dimension’gets lost in sustainability projects. Sustainable development, 20(1), 18-27. https://doi.org/10.1002/sd.461 DOI: https://doi.org/10.1002/sd.461
Wang, Q., Zhang, F., & Li, R. (2025). Artificial intelligence and sustainable development during urbanization: Perspectives on AI R&D innovation, AI infrastructure, and AI market advantage. Sustainable Development, 33(1), 1136-1156. https://doi.org/10.1002/sd.3150 DOI: https://doi.org/10.1002/sd.3150
Wang, S., & Zhang, H. (2025). Enhancing environmental, social, and governance performance through artificial intelligence supply chains in the energy industry: Roles of innovation, collaboration, and proactive sustainability strategy. Renewable Energy, 245, 122855. https://doi.org/10.1016/j.renene.2025.122855 DOI: https://doi.org/10.1016/j.renene.2025.122855
Welford, R. (2007). Corporate governance and corporate social responsibility: Issues for Asia. Corporate Social Responsibility and Environmental Management, 14(1), 42-51. https://doi.org/10.1002/csr.139 DOI: https://doi.org/10.1002/csr.139
Vinuesa, R., Azizpour, H., Leite, I., Balaam, M., Dignum, V., Domisch, S., ... & Fuso Nerini, F. (2020). The role of artificial intelligence in achieving the Sustainable Development Goals. Nature communications, 11(1), 233. https://doi.org/10.1038/s41467-019-14108-y DOI: https://doi.org/10.1038/s41467-019-14108-y
World Bank. (2024). Worldwide governance indicators. https://databank.worldbank.org/source/worldwide-governance-indicators
World Economic Forum. (2024). Annual Report 2023-2024. https://www.weforum.org/publications/annual-report-2023-2024/digest/
Yale Center for Environmental Law & Policy (YCELP). (2024). Environmental Performance Index 2024. https://epi.yale.edu/
Zhang, C., & Yang, J. (2024). Artificial intelligence and corporate ESG performance. International Review of Economics & Finance, 96, 103713. https://doi.org/10.1016/j.iref.2024.103713 DOI: https://doi.org/10.1016/j.iref.2024.103713
Downloads
Published
Issue
Section
Categories
License
Copyright (c) 2026 Geeho Jeon

This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
Accepted 05-05-2026
Published 19-05-2026