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    A decısıon model for the assessment of envıronmental sustaınabılıty rısks of the automotıve ındustry
    (Bandırma Onyedi Eylül Üniversitesi, 1 Ocak 2024) Çakmak, Emre; Türkan, Yusuf Sait; Alioğulları, Ecenur
    The automotive industry is increasing its competitive power by undergoing more and more technological and digital changes every day. Along with this competitiveness, the concepts of sustainability, ethics, and reputation come to the fore. Sustainability includes social, economic, and environmental issues that meet all the needs of future generations and use limited resources efficiently. In this study, the environmental and sustainable supply chain risks of the automotive industry are examined through automotive industry reports, expert opinions, and a literature review. After nine risks were identified, 14 alternatives were developed to prevent them. In the study, a multi-level risk assessment method using Failure Modes and Effects Analysis and Entropy-based EDAS method was introduced and an application was carried out in the automotive sector. According to the entropy-based EDAS method, the most important alternative has been “The top management's determination of sustainability commitments and targets.
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    Strategic classification of smart city strategies in developing countries
    (Elsevier B.V., 2025) Samasti, Mesut; Çakmak, Emre; Özpınar, Alper
    Smart cities represent the forefront of combining technological innovation with urban management to enhance the quality of life and sustainability of urban environments. While existing studies have focused on individual smart city evaluations, there is a notable gap in systematic classification approaches that can handle uncertain and incomplete data in developing countries. As urban populations continue to grow, the strategic integration of smart technologies in city planning and management becomes crucial, necessitating more sophisticated evaluation methodologies. These technologies offer promising solutions to urban challenges by improving efficiency, economic growth, and citizen engagement. This research addresses this gap by proposing a novel framework that combines Interval Valued Neutrosophic Sets (IVNS) with the EDAS Method, specifically designed to handle the complexities and uncertainties inherent in developing country contexts. The study extensively reviews existing literature and methodologies applied in similar contexts, identifying key limitations in current approaches and building a robust framework that incorporates both new and established criteria. Through the systematic application of IVNS-EDAS methodology across multiple urban environments, this study develops a comprehensive classification system that accounts for both quantitative metrics and qualitative assessments of smart city capabilities. The results showcase a dynamic classification framework that effectively handles data uncertainty while providing clear, actionable insights for urban planners and policymakers. The paper concludes by validating the effectiveness of the proposed approach through a detailed computational study involving diverse stakeholders, confirming its applicability and utility in refining smart city strategies globally, particularly in developing country contexts where data reliability and completeness may be challenging. The study provides specific policy guidelines for each city classification, offering policymakers a structured framework for resource allocation and strategic planning, ranging from foundational infrastructure development in emerging cities to advanced technology integration in metropolitan areas. © 2024 The Author(s)