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Öğe EVALUATION OF LOGISTICS RISK FACTORS WITH BWM METHOD; SIVAS PROVINCE EXAMPLE(Sociedade Brasileira de Pesquisa Operacional, 2024) Ölmez, Umur; Ulutaş, Alptekin; Üre, Salim; Yürüyen, Ali Aygün; Meidute-Kavaliauskiene, IevaThis study investigates the logistics risk factors impacting Sivas, a strategically significant region in Turkey’s logistics network, especially within the Belt and Road Initiative (BRI) framework. Using the Best-Worst Method (BWM), the study analyzes nine main criteria and twenty-seven sub-criteria that can cause delays or disruptions in logistics activities. Data were collected from 15 logistics experts in Sivas through questionnaires and analyzed using Lingo 20.0 software. The analysis reveals that transportation risk is the most critical factor affecting logistics activities in Sivas, while organizational risks have the least impact. Specifically, accidents during transportation were identified as the most significant sub-criterion, whereas worker strikes were deemed the least significant. This study contributes to the literature by offering a detailed categorization and prioritization of logistics risks, providing actionable recommendations for mitigating these risks. Furthermore, it presents a transferable model applicable to other regions with similar logistical and economic profiles, offering valuable insights for policymakers and industry stakeholders. © 2024 Brazilian Operations Research Society.Öğe The Relationship between Financial Development and Logistics Performance Index: A Panel ARDL Approach in Emerging Markets(Scientific Oasis, 2024) Demirbaş, Muzaffer; Üre, Salim; Demir, Oğuzhan; Karaköy, Çağatay; Ulutaş, AlptekinThe term "emerging markets" refers to countries that are undergoing economic and financial development. As financial development progresses in these nations, the capital available for international trade and the expansion of logistics infrastructure grows as well. This increased capital enables the financing of international trade activities and facilitates the execution of necessary logistics operations efficiently and effectively. Additionally, with enhanced financial development, it becomes easier to secure the capital required to improve logistics infrastructure and make it more functional. In this study, analyses are conducted using the Panel autoregressive distributed lag method in emerging market countries to evaluate the direct and indirect effects of financial development on logistics performance. The results reveal that increased access to financial institutions and markets positively affects logistics performance in both the short and long term. Among financial variables, the depth of financial institutions exhibits the strongest long-term influence, suggesting that a stable financial system is crucial for logistics efficiency. These insights provide valuable guidance for decision-makers aiming to strengthen logistics infrastructure and trade capabilities. By recognizing the role of financial development in supporting logistics performance, policymakers can craft strategies that support sustainable economic growth through improved logistics processes. © The Author(s) 2024.











