Financial determinants of governance scores in hospitality and tourism enterprises
Yazarlar (5)
Doç. Dr. Hasan Evrim ARICI Kastamonu Üniversitesi, Türkiye
Hüseyin Araslı
Universitetet İ Stavanger, Norveç
Universitetet İ Stavanger, Norveç
Mehmet Ali Köseoğlu
Metropolitan State University, Amerika Birleşik Devletleri
Metropolitan State University, Amerika Birleşik Devletleri
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
(SCOPUS dergilerinde yayınlanan tam makale)
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| Dergi Adı | Quality and Quantity | ||
| Dergi ISSN | 0033-5177 Dergi Bilgileri (2024) | ||
| Dergi Tarandığı Indeksler | Scopus | ||
| Makale Dili | İngilizce | Basım Tarihi | 03-2024 |
| Kabul Tarihi | 10-12-2023 | Yayınlanma Tarihi | 26-03-2024 |
| Cilt / Sayı / Sayfa | 60 / 3 / 8247–8268 | DOI | 10.1007/s11135-023-01820-7 |
| Makale Linki | http://dx.doi.org/10.1007/s11135-023-01820-7 | ||
| UAK Araştırma Alanları |
Otel İşletmeciliği
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| Özet |
| While the importance of robust corporate governance in hospitality and tourism (H&T) enterprises is widely acknowledged among scholars in the fields of H&T and general management, existing literature reveals several gaps, inconclusive findings, and disparate conclusions. In addressing these gaps and advancing scientific understanding, this study delves into the estimation of governance scores in H&T enterprises through an exploration of financial indicators. Leveraging the Thomson Reuters Eikon database and employing machine learning methodologies such as bagging, random forest, and boosted regression algorithms, our research identifies the most influential predictors of governance scores. Our results highlight that assets/equity emerges as the most potent predictor of shareholder score in H&T businesses, while the composition of independent board members is identified as the paramount predictor … |
| Anahtar Kelimeler |
| Corporate governance score | Financial indicators | Hospitality and tourism | Machine learning | Shareholder score |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Scopus | 11 |
| Google Scholar | 13 |