| Yazarlar (2) |
Doç. Dr. Hasan Evrim ARICI
Kastamonu Üniversitesi, Türkiye |
Mehmet Ali Köseoglu
Metropolitan State University, United States |
| Özet |
| This study investigates the complex drivers behind the competitiveness of global tourism destinations, employing a comprehensive machine-learning approach to analyze data from the World Economic Forum and the UNWTO for 2019 and 2021. By utilizing decision trees, random forest algorithms, and Partial Dependence Plots (PDPs), the research identifies key factors—such as ICT Readiness, Human Resources, Non-Leisure Resources, and Price Competitiveness—that significantly influence tourism competitiveness. Key findings indicate that ICT Readiness stands out as a critical determinant across all countries, highlighting the indispensable role of digital infrastructure in the tourism sector. For the 20 leading destinations by international arrivals, non-leisure resources and human resources are pivotal, suggesting that offering a wide array of activities and maintaining a skilled workforce are essential for a competitive edge. This research contributes valuable perspectives for policymakers, industry stakeholders, and academics, enriching the global dialogue on strategies for fostering competitive and sustainable tourism industries. |
| Anahtar Kelimeler |
| Enabling conditions | Infrastructure | Natural and cultural resources | Price competitiveness | The enabling environment | Tourism destination competitiveness | Travel and tourism policy |
| Makale Türü | Özgün Makale |
| Makale Alt Türü | SSCI, AHCI, SCI, SCI-Exp dergilerinde yayımlanan tam makale |
| Dergi Adı | Journal of Destination Marketing and Management |
| Dergi ISSN | 2212-571X Wos Dergi Scopus Dergi |
| Dergi Grubu | Q1 |
| Makale Dili | İngilizce |
| Basım Tarihi | 06-2025 |
| Cilt No | 36 |
| Sayı | 1 |
| Doi Numarası | 10.1016/j.jdmm.2025.100990 |
| Atıf Sayıları |
