| Yazarlar (3) |
Doç. Dr. Hasan Evrim ARICI
Kastamonu Üniversitesi, Türkiye |
Mehmet Ali Köseoğlu
Metropolitan State University, Amerika Birleşik Devletleri |
|
Luisa Campos
Curtin University, Avustralya |
| 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 |
| Makale Türü | Özgün Makale |
| Makale Alt Türü | SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale |
| Dergi Adı | Business Strategy and the Environment |
| Dergi ISSN | 0964-4733 Wos Dergi Scopus Dergi |
| Dergi Tarandığı Indeksler | SSCI |
| Dergi Grubu | Q1 |
| Makale Dili | İngilizce |
| Basım Tarihi | 10-2025 |
| Sayı | 1 |
| Doi Numarası | 10.1002/bse.70316 |
| Makale Linki | https://doi.org/10.1002/bse.70316 |
| Atıf Sayıları | |
| Google Scholar | 1 |
