Predictive roles of environment, social, and governance scores on firms’ diversity: a machine learning approach
Yazarlar (4)
Mehmet Ali Köseoğlu
Metropolitan State University, Amerika Birleşik Devletleri
Metropolitan State University, Amerika Birleşik Devletleri
Doç. Dr. Hasan Evrim ARICI Kastamonu Üniversitesi, Türkiye
Mehmet Bahri Saydam
Doğu Akdeniz Üniversitesi, Türkiye
Doğu Akdeniz Üniversitesi, Türkiye
Victor Oluwafemi Olorunsola
Eastern Mediterranean University, Türkiye
Eastern Mediterranean University, Türkiye
| Makale Türü | Özgün Makale (ESCI dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Nankai Business Review International | ||
| Dergi ISSN | 2040-8749 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | ESCI | ||
| Makale Dili | İngilizce | Basım Tarihi | 02-2025 |
| Cilt / Sayı / Sayfa | 16 / 2 / 284–306 | DOI | 10.1108/NBRI-06-2023-0055 |
| Makale Linki | https://doi.org/10.1108/nbri-06-2023-0055 | ||
| UAK Araştırma Alanları |
Otel İşletmeciliği
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| Özet |
| Purpose Environmental, social and governance (ESG) scores are compelling for firm strategy and performance. Thus, this study aims to explore ESG scores’ predictive roles on global firms’ diversity scores. Design/methodology/approach A total of 1,114 global firm-year data from the Thomson Reuters Eikon database was analyzed using machine learning algorithms like rpart, support vector machine, partykit and evtree. Findings The results reveal a positive association between diversity, resulting in greater comprehensiveness and relevance. Broadly speaking, the two factors with the most significant values for calculating the overall diversity scores of businesses are ESG scores and social scores. ESG scores and environmental scores are the most effective predictors for the diversity pillar and people development scores. In contrast, community and social … |
| Anahtar Kelimeler |
| ESG scores | Firm diversity | International firms | Machine learning algorithms |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 1 |
| Scopus | 1 |
| Google Scholar | 1 |