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Clustering S&P 500 companies by machine learning for sustainable decision-making Cover

Clustering S&P 500 companies by machine learning for sustainable decision-making

Economics and Business Review
Volume 11 (2025): Issue 3 (September 2025)
By: Cansu ErgençORCID and  Rafet AktaşORCID  
Open Access
|Oct 2025

References

  1. Aerts, L. (2020, May 28). Tracking customer segments in alternative finance using time-evolving cluster analysis. Econometrie. http://hdl.handle.net/2105/52256
    Search in Google ScholarBack to article
  2. Ah-Pine, J. (2018). An efficient and effective generic agglomerative hierarchical clustering approach. Journal of Machine Learning Research, 19(42), 1–43.
    Search in Google ScholarBack to article
  3. Atkins, J., Doni, F., Gasperini, A., Artuso, S., La Torre, I., & Sorrentino, L. (2023). Exploring the effectiveness of sustainability measurement: Which ESG metrics will survive COVID-19? Journal of Business Ethics, 185(3), 629–646. https://doi.org/10.1007/s10551-022-05183-1
    Search in Google ScholarBack to article
  4. Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120. https://doi.org/10.1177/014920639101700108
    Search in Google ScholarBack to article
  5. Borms, S., Boudt, K., Holle, F. V., & Willems, J. (2021). Semi-supervised text mining for monitoring the news about the ESG performance of companies. In S. Consoli, D. Reforgiato Recupero & M. Saisana (Eds.), Data science for economics and finance: Methodologies and applications (pp. 217–239). Springer. https://doi.org/10.1007/978-3-030-66891-4_10
    Search in Google ScholarBack to article
  6. Brygała, M., & Korol, T. (2024). Personal bankruptcy prediction using machine learning techniques. Economics and Business Review, 10(2), 118–142. https://doi.org/10.18559/ebr.2024.2.1149
    Search in Google ScholarBack to article
  7. Busch, T., Barnett, M. L., Burritt, R. L., Cashore, B. W., Freeman, R. E., Henriques, I., Husted, B. W., Panwar, R., Pinkse, J., Schaltegger, S., & York, J. (2024). Moving beyond “the” business case: How to make corporate sustainability work. Business Strategy and the Environment, 33(2), 776–787. https://doi.org/10.1002/bse.3514
    Search in Google ScholarBack to article
  8. Chen, S., Song, Y., & Gao, P. (2023). Environmental, social, and governance (ESG) performance and financial outcomes: Analyzing the impact of ESG on financial performance. Journal of Environmental Management, 345, 118829. https://doi.org/10.1016/j.jenvman.2023.118829
    Search in Google ScholarBack to article
  9. Choi, S., & Yoon, S. (2023). Energy signature-based clustering using open data for urban building energy analysis toward carbon neutrality: A case study on electricity change under COVID-19. Sustainable Cities and Society, 92, 104471. https://doi.org/10.1016/j.scs.2023.104471
    Search in Google ScholarBack to article
  10. Clément, A., Robinot, É., & Trespeuch, L. (2022). Improving ESG scores with sustainability concepts. Sustainability, 14(20), 13154. https://doi.org/10.3390/su142013154
    Search in Google ScholarBack to article
  11. Clementino, E., & Perkins, R. (2021). How do companies respond to environmental, social and governance (ESG) ratings? Evidence from Italy. Journal of Business Ethics, 171(2), 379–397. https://doi.org/10.1007/s10551-020-04441-4
    Search in Google ScholarBack to article
  12. Cleuziou, G. (2007). A generalization of K-Means for overlapping clustering. Rapport Technique, 54.
    Search in Google ScholarBack to article
  13. Costantiello, A., & Leogrande, A. (2023). The impact of voice and accountability in the ESG framework in a global perspective.
    Search in Google ScholarBack to article
  14. Ehling, P., Haukø Lundeby, S. R., & Qvigstad Sørensen, L. (2023). Portfolio choice with ESG Disagreement: Customizing sustainability through direct indexing. Journal of Beta Investment Strategies, 14(3), 132–149. https://doi.org/10.3905/jbis.2023.1.041
    Search in Google ScholarBack to article
  15. Elisabetta, D., & Iannuzzi, A. P. (2017). Incentive plans, pay-for-non-financial performance, and ESG criteria: Evidence from the European banking sector. International Business Research, 10(10), 169–182. https://doi.org/10.5539/ibr.v10n10p169
    Search in Google ScholarBack to article
  16. Evans, G. L. (2017). Disruptive technology and the board: The tip of the iceberg. Economics and Business Review, 3(1), 205–223. https://doi.org/10.18559/ebr.2017.1.11
    Search in Google ScholarBack to article
  17. Freeman, R. E. (2010). Strategic management: A stakeholder approach. Cambridge University Press.
    Search in Google ScholarBack to article
  18. Friede, G., Busch, T., & Bassen, A. (2015). ESG and financial performance: Aggregated evidence from more than 2000 empirical studies. Journal of Sustainable Finance & Investment, 5(4), 210–233. https://doi.org/10.1080/20430795.2015.1118917
    Search in Google ScholarBack to article
  19. Gebhardt, M., Thun, T. W., Seefloth, M., & Zülch, H. (2023). Managing sustainability— Does the integration of environmental, social and governance key performance indicators in the internal management systems contribute to companies’ environmental, social and governance performance? Business Strategy and the Environment, 32(4), 2175–2192. https://doi.org/10.1002/bse.3242
    Search in Google ScholarBack to article
  20. González-Serrano, M. H., Añó Sanz, V., & González-García, R. J. (2020). Sustainable sport entrepreneurship and innovation: A bibliometric analysis of this emerging field of research. Sustainability, 12(12), 5209. https://doi.org/10.3390/su12125209
    Search in Google ScholarBack to article
  21. Grougiou, V., Anagnostopoulou, S., & Tingey-Holyoak, J. L. (2024). Sustainability literature review research: Advancing theory and practice. Sustainability Accounting, Management and Policy Journal, 15(5), 1017–1037. https://doi.org/10.1108/SAMPJ-03-2024-0198
    Search in Google ScholarBack to article
  22. Iamandi, I. E., Constantin, L. G., Munteanu, S. M., & Cernat-Gruici, B. (2019). Mapping the ESG behavior of European companies. A holistic Kohonen approach. Sustainability, 11(12), 3276. https://doi.org/10.3390/su11123276
    Search in Google ScholarBack to article
  23. Jain, A. K. (2010). Data clustering: 50 years beyond K-means. Pattern recognition letters, 31(8), 651–666. https://doi.org/10.1016/j.patrec.2009.09.011
    Search in Google ScholarBack to article
  24. Janipour, Z., de Gooyert, V., Huijbregts, M., & de Coninck, H. (2022). Industrial clustering as a barrier and an enabler for deep emission reduction: A case study of a Dutch chemical cluster. Climate Policy, 22(3), 320–338. https://doi.org/10.1080/14693062.2022.2025755
    Search in Google ScholarBack to article
  25. Jiménez, E., de la Cuesta-González, M., & Boronat-Navarro, M. (2021). How small and medium-sized enterprises can uptake the sustainable development goals through a cluster management organization: A case study. Sustainability, 13(11), 5939. https://doi.org/10.3390/su13115939
    Search in Google ScholarBack to article
  26. Kanemoto, K., Hanaka, T., Kagawa, S., & Nansai, K. (2019). Industrial clusters with substantial carbon-reduction potential. Economic Systems Research, 31(2), 248–266. https://doi.org/10.1080/09535314.2018.1492369
    Search in Google ScholarBack to article
  27. Khalil, M. A., Khalil, S., & Sinliamthong, P. (2024). From ratings to resilience: The role and implications of environmental, social, and governance (ESG) performance in corporate solvency. Sustainable Futures, 8, 100304. https://doi.org/10.1016/j.sftr.2024.100304
    Search in Google ScholarBack to article
  28. Ko, B., Lee, K., Yoon, Y., & Park, S. (2022). Impact of ESG (Environmental, Social, Governance) on the Performance of Electric Utilities. New & Renewable Energy, 18(2), 60–72. https://doi.org/10.7849/ksnre.2022.0010
    Search in Google ScholarBack to article
  29. Kocmanová, A., & Dočekalová, M. (2012). Construction of the economic indicators of performance in relation to environmental, social and corporate governance (ESG) factors. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 60(4), 195–206.
    Search in Google ScholarBack to article
  30. Kodinariya, T. M., & Makwana, P. R. (2013). Review on determining number of Cluster in K-Means clustering. International Journal, 1(6), 90–95.
    Search in Google ScholarBack to article
  31. Kotsantonis, S., & Serafeim, G. (2019). Four things no one will tell you about ESG data. Journal of Applied Corporate Finance, 31(2), 50–58. https://doi.org/10.1111/jacf.12346
    Search in Google ScholarBack to article
  32. Kuo, K. C., Yu, H. Y., Lu, W. M., & Le, T. T. (2022). Sustainability and corporate performance: Moderating role of environmental, social, and governance investments in the transportation sector. Sustainability, 14(7), 4095. https://doi.org/10.3390/su14074095
    Search in Google ScholarBack to article
  33. LaBella, M. J., Sullivan, L., Russell, J., & Novikov, D. (2019). The devil is in the details: The divergence in ESG data and implications for responsible investing. New York: QS Investors, 11.
    Search in Google ScholarBack to article
  34. Li, T. T., Wang, K., Sueyoshi, T., & Wang, D. D. (2021). ESG: Research progress and future prospects. Sustainability, 13(21), 11663. https://doi.org/10.3390/su132111663
    Search in Google ScholarBack to article
  35. Lin, A. J., Chang, H. Y., & Hung, B. (2022). Identifying key financial, environmental, social, governance (ESG), bond, and COVID-19 factors affecting global shipping companies— a hybrid multiple-criteria decision-making method. Sustainability, 14(9), 5148. https://doi.org/10.3390/su14095148
    Search in Google ScholarBack to article
  36. Ma, B., Lin, S., Bashir, M. F., Sun, H., & Zafar, M. (2023). Revisiting the role of firm-level carbon disclosure in sustainable development goals: Research agenda and policy implications. Gondwana Research, 117, 230–242. https://doi.org/10.1016/j.gr.2023.02.002
    Search in Google ScholarBack to article
  37. MacNeil, I., & Esser, I. M. (2022). From a financial to an entity model of ESG. European Business Organization Law Review, 23(1), 9–45. https://doi.org/10.1007/s40804-021-00234-y
    Search in Google ScholarBack to article
  38. Manduchi, L., Chin-Cheong, K., Michel, H., Wellmann, S., & Vogt, J. (2021). Deep conditional Gaussian mixture model for constrained clustering. Advances in Neural Information Processing Systems, 34, 11303–11314.
    Search in Google ScholarBack to article
  39. Marie, M., Qi, B., Gerged, A. M., & Nobanee, H. (2024). Exploring environmental, social and governance research in the wake of COVID‐19: A bibliometric analysis of current trends and recommendations for future research. Corporate Social Responsibility and Environmental Management, 31(6), 6131–6149. https://doi.org/10.1002/csr.2909
    Search in Google ScholarBack to article
  40. Nakielski, M. L. (2023). Moving forward with ESG, sustainability, and Corporate Responsibility. Frontiers of Health Services Management, 40(1), 33–39. https://doi.org/10.1097/HAP.0000000000000178
    Search in Google ScholarBack to article
  41. Nielsen, H., & Villadsen, K. (2023). The ESG discourse is neither timeless nor stable: How Danish companies ‘tactically ’embrace ESG concepts. Sustainability, 15(3), 2766. https://doi.org/10.3390/su15032766
    Search in Google ScholarBack to article
  42. Orchard, T., & Tasiemski, L. (2023). The rise of generative AI and possible effects on the economy. Economics and Business Review, 9(2), 9–26. https://doi.org/10.18559/ebr.2023.2.732
    Search in Google ScholarBack to article
  43. Paolone, F., Cucari, N., Wu, J., & Tiscini, R. (2022). How do ESG pillars impact firms’ marketing performance? A configurational analysis in the pharmaceutical sector. Journal of Business & Industrial Marketing, 37(8), 1594–1606. https://doi.org/10.1108/JBIM-07-2020-0356
    Search in Google ScholarBack to article
  44. Papagiannidis, S., See-To, E. W., Assimakopoulos, D. G., & Yang, Y. (2018). Identifying industrial clusters with a novel big-data methodology: Are SIC codes (not) fit for purpose in the Internet age? Computers & Operations Research, 98, 355–366. https://doi.org/10.1016/j.cor.2017.06.010
    Search in Google ScholarBack to article
  45. Park, S. R., & Jang, J. Y. (2021). The impact of ESG management on investment decision: Institutional investors’ perceptions of country-specific ESG criteria. International Journal of Financial Studies, 9(3), 48. https://doi.org/10.3390/ijfs9030048
    Search in Google ScholarBack to article
  46. Park, A., & Ravenel, C. (2013). Integrating sustainability into capital markets: Bloomberg LP And ESG’s quantitative legitimacy. Journal of Applied Corporate Finance, 25(3), 62-67. https://doi.org/10.1111/jacf.12030
    Search in Google ScholarBack to article
  47. Radu, C., & Smaili, N. (2021). Corporate performance patterns of Canadian listed firms: Balancing financial and Corporate Social Responsibility outcomes. Business Strategy and the Environment, 30(7), 3344–3359. https://doi.org/10.1002/bse.2806
    Search in Google ScholarBack to article
  48. Ratnam, K. A., & Dominic, P. D. D. (2011, September 19–20). A study of technology sustainability on hospital information management system (HIMS) Governance in Malaysia. 2011 National Postgraduate Conference, IEEE. Perak. Malaysia. https://doi.org/10.1109/NatPC.2011.6136309
    Search in Google ScholarBack to article
  49. Ronalter, L. M., Bernardo, M., & Romaní, J. M. (2023). Quality and environmental management systems as business tools to enhance ESG performance: A cross-regional empirical study. Environment, Development and Sustainability, 25(9), 9067–9109. https://doi.org/10.1007/s10668-022-02425-0
    Search in Google ScholarBack to article
  50. Rusu, Ș., Boloș, M. I., & Leordeanu, M. (2023). K-means and agglomerative hierarchical clustering analysis of ESG scores, yearly variations, and stock returns: Insights from the energy sector in Europe and the United States. Journal of Financial Studies, 8(Special-June), 166–180.
    Search in Google ScholarBack to article
  51. Saini, N., Singhania, M., Hasan, M., Yadav, M. P., & Abedin, M. Z. (2022). Non-financial disclosures and sustainable development: A scientometric analysis. Journal of Cleaner Production, 381, 135173. https://doi.org/10.1016/j.jclepro.2022.135173
    Search in Google ScholarBack to article
  52. Saraswati, E., Ghofar, A., Atmini, S., & Dewi, A. A. (2024). Clustering of companies based on sustainability performance using ESG materiality approach: evidence from Indonesia. International Journal of Energy Economics and Policy, 14(2), 112–125. https://doi.org/10.32479/ijeep.15393
    Search in Google ScholarBack to article
  53. Sariyer, G., Mangla, S. K., Chowdhury, S., Sozen, M. E., & Kazancoglu, Y. (2024). Predictive and prescriptive analytics for ESG performance evaluation: A case of Fortune 500 companies. Journal of Business Research, 181, 114742. https://doi.org/10.1016/j.jbusres.2024.114742
    Search in Google ScholarBack to article
  54. Scrucca, L., Fop, M., Murphy, T. B., & Raftery, A. E. (2016). mclust 5: Clustering, classification and density estimation using Gaussian finite mixture models. The R Journal, 8(1), 289.
    Search in Google ScholarBack to article
  55. Spence, M. (1978). Job market signaling. In Uncertainty in economics (pp. 281–306). Academic Press.
    Search in Google ScholarBack to article
  56. Sultana, S., Zulkifli, N., & Zainal, D. (2018). Environmental, social and governance (ESG) and investment decision in Bangladesh. Sustainability, 10(6), 1831. https://doi.org/10.3390/su10061831
    Search in Google ScholarBack to article
  57. Sun, Y., Chen, M., Yang, J., Ying, L., & Niu, Y. (2022). Understanding technological input and low-carbon innovation from multiple perspectives: Focusing on sustainable building energy in China. Sustainable Energy Technologies and Assessments, 53, 102474. https://doi.org/10.1016/j.seta.2022.102474
    Search in Google ScholarBack to article
  58. Suproń, B. (2025). Environmental pollution and economic growth in the European Union countries: A systematic literature review. Economics and Business Review, 11(1), 7-30. https://doi.org/10.18559/ebr.2025.1.1777
    Search in Google ScholarBack to article
  59. Surroca, J., Tribó, J. A., & Waddock, S. (2010). Corporate responsibility and financial performance: The role of intangible resources. Strategic Management Journal, 31(5), 463–490. https://doi.org/10.1002/smj.820
    Search in Google ScholarBack to article
  60. Van Holt, T., & Whelan, T. (2021). Research frontiers in the era of embedding sustainability: Bringing social and environmental systems to the forefront. Journal of Sustainability Research, 3(2).
    Search in Google ScholarBack to article
  61. Vichi, M., Cavicchia, C., & Groenen, P. J. (2022). Hierarchical means clustering. Journal of Classification, 39(3), 553–577. https://doi.org/10.1007/s00357-022-09419-7
    Search in Google ScholarBack to article
  62. Vilas, P., Andreu, L., & Sarto, J. L. (2022). Cluster analysis to validate the sustainability label of stock indices: An analysis of the inclusion and exclusion processes in terms of size and ESG ratings. Journal of Cleaner Production, 330, 129862. https://doi.org/10.1016/j.jclepro.2021.129862
    Search in Google ScholarBack to article
  63. Vinayavekhin, S., Li, F., Banerjee, A., & Caputo, A. (2023). The academic landscape of sustainability in management literature: Towards a more interdisciplinary research agenda. Business Strategy and the Environment, 32(8), 5748-5784. https://doi.org/10.1002/bse.3447
    Search in Google ScholarBack to article
  64. Wu, B., Gu, Q., Liu, Z., & Liu, J. (2023). Clustered institutional investors, shared ESG preferences and low-carbon innovation in family firm. Technological Forecasting and Social Change, 194, 122676. https://doi.org/10.1016/j.techfore.2023.122676
    Search in Google ScholarBack to article
  65. Xie, J., Nozawa, W., Yagi, M., Fujii, H., & Managi, S. (2019). Do environmental, social, and governance activities improve corporate financial performance? Business Strategy and the Environment, 28(2), 286–300. https://doi.org/10.1002/bse.2224
    Search in Google ScholarBack to article
  66. Zhong, W. (2023). An analysis of focusing on ESG investment. Highlights in Business, Economics and Management, 17(1), 8–13.
    Search in Google ScholarBack to article
DOI: https://doi.org/10.18559/ebr.2025.3.1895 | Journal eISSN: 2450-0097 | Journal ISSN: 2392-1641
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Language: English
Page range: 91 - 118
Submitted on: Dec 2, 2024
Accepted on: Aug 1, 2025
Published on: Oct 7, 2025
Published by: Poznan University of Economics and Business
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
sustainability,
clustering algorithms,
machine learning
Related subjects:
Business and economics,
Political economics,
Political economics, other,
Finance,
Mathematics and statistics for economists,
Econometrics

© 2025 Cansu Ergenç, Rafet Aktaş, published by Poznan University of Economics and Business
This work is licensed under the Creative Commons Attribution 4.0 License.

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