Financial predictors of firms’ diversity scores: 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 | Equality Diversity and Inclusion | ||
| Dergi ISSN | 2040-7149 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | ESCI | ||
| Makale Dili | İngilizce | Basım Tarihi | 03-2025 |
| Cilt / Sayı / Sayfa | 45 / 1 / 368–388 | DOI | 10.1108/EDI-11-2023-0403 |
| Makale Linki | https://doi.org/10.1108/edi-11-2023-0403 | ||
| UAK Araştırma Alanları |
Otel İşletmeciliği
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| Özet |
| Purpose Departing from previous studies, this paper aims to explore the predictive roles of financial indicators on diversity. Design/methodology/approach Data on all companies that are publicly traded was acquired from the Refinitiv Eikon database. The final list, which comprises 873 worldwide business data from 2021, composed the dataset. We used fundamental forward selection techniques, multiple regression and best subset regression in R programming to look at the data and find the most critical factors. Findings We found support for the predictive roles of financial indicators on total diversity score and its three components in global companies. In addition, bagging and random forest algorithms were able to find a predictor role of total liability on the diversity pillar score and inclusion score. In contrast, the people development score was best estimated by … |
| Anahtar Kelimeler |
| Diversity score | Ensemble models | Financial indicators | Machine learning algorithms |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 2 |
| Scopus | 1 |
| Google Scholar | 2 |