Unlocking Environmental Innovation Through Board Diversity and Governance: A Machine Learning Approach
Yazarlar (3)
Doç. Dr. Hasan Evrim ARICI Kastamonu Üniversitesi, Türkiye
Mehmet Ali Köseoğlu
Metropolitan State University, Amerika Birleşik Devletleri
Metropolitan State University, Amerika Birleşik Devletleri
Luisa Campos Curtin University, Avustralya
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Business Strategy and the Environment (Q1) | ||
| Dergi ISSN | 0964-4733 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SSCI | ||
| Makale Dili | İngilizce | Basım Tarihi | 10-2025 |
| Cilt / Sayı / Sayfa | 35 / 2 / 2547–2562 | DOI | 10.1002/bse.70316 |
| Makale Linki | https://doi.org/10.1002/bse.70316 | ||
| UAK Araştırma Alanları |
Otel İşletmeciliği
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| Özet |
| This study advances governance scholarship by applying robust machine learning techniques, bagging, random forest, boosting, SHapley Additive exPlanations (SHAP), and partial dependence plots (PDPs), to systematically explore how diverse board compositions (gender diversity, nonexecutive member diversity, independent board diversity) and the presence of board members with specific strategic skills (board‐specific skills percent) impact firms' environmental innovation outcomes. Using comprehensive governance data from the hospitality and tourism sector (Refinitiv, 2015–2024), results reveal strong predictive relationships, highlighting product responsibility as the most influential factor. The analysis further indicates that board‐specific skills and external diversity significantly amplify firms' environmental innovation, particularly when combined with proactive sustainability practices. SHAP and PDP … |
| Anahtar Kelimeler |
| board diversity | environmental innovation | governance | hospitality and tourism | machine learning |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Scopus | 1 |
| Google Scholar | 1 |