| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | International Journal of Hospitality Management (Q1) | ||
| Dergi ISSN | 0278-4319 Wos Dergi Scopus Dergi | ||
| Makale Dili | İngilizce | Basım Tarihi | 02-2026 |
| Cilt / Sayı / Sayfa | 133 / 1 / 104511–0 | DOI | 10.1016/j.ijhm.2025.104511 |
| Makale Linki | https://doi.org/10.1016/j.ijhm.2025.104511 | ||
| UAK Araştırma Alanları |
Sosyal, Beşeri ve İdari Bilimler
|
||
| Özet |
| This study examines the influence of board composition and Environmental, Social, and Governance (ESG) practices on financial performance within the hospitality and tourism industry, leveraging advanced machine learning techniques. Data spanning 2015–2024 from the Refinitiv database is analyzed through boosting algorithms, SHapley Additive exPlanations (SHAP), and Partial Dependence Plots (PDPs) to uncover nonlinear interactions and relative predictor importance. The findings emphasize that Independent Board Members Score (IBMS) consistently drives financial performance across metrics, while Non-Executive Board Members Score (NEBMS) provides complementary support, particularly in interaction with IBMS. ESG variables, including Workforce Score and Product Responsibility Score, emerge as critical predictors, underscoring the importance of sustainability and governance practices. The … |
| Anahtar Kelimeler |
| Board composition | Board members | Competitive advantage | ESG | Machine learning |
| Atıf Sayıları | |
| Web of Science | 1 |
| Scopus | 1 |
| Google Scholar | 1 |
| Dergi Adı | International Journal of Hospitality Management |
| Yayıncı | Elsevier Ltd |
| Açık Erişim | Hayır |
| ISSN | 0278-4319 |
| E-ISSN | 1873-4693 |
| CiteScore | 20,7 |
| SJR | 2,731 |
| SNIP | 2,595 |