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    Developing a hybrid methodology for green-based supplier selection: Application in the automotive industry
    (Pergamon-Elsevier Science Ltd, 2024) Kara, Karahan; Acar, Avni Zafer; Polat, Mustafa; Onden, Ismail; Yalcin, Galip Cihan
    The green performance values of businesses are of great importance in terms of sustainability, which includes long-term economic, social, and environmental effects. Thus, today, enterprises and managers are increasingly interested in this issue, and related topics, including supplier selection, have been inserted into decision-making procedures. However, how to predict the effects of green performance criteria, which represent environmental sustainability, on social and economic sustainability remains unclear. In this regard, the main purpose of this research is to develop a supplier selection methodology considering green performance criteria by applying multiple regression analysis and the Evidential Fuzzy Multi-Criteria Decision Making (F-MCDM) method based on Dempster-Shafer Theory (DST), which are both powerful methods in statistical analysis and decision-making under uncertainty. In the first phase of the research, variables that significantly affect green performance have been determined by testing the eight generated hypotheses with multiple regression analysis. Then, the best supplier was determined using those green supplier selection criteria in the Evidential F-MCDM method. Since using environmentally hazardous paints in the production process continues, the automobile paint production sector has been chosen as the application area of this green-based supplier selection methodology. In this respect, green dynamic capacity, green purchasing, eco-design, investment recovery, and green product innovation variables have been inserted into the Evidential F-MCDM method as the determinant variables of green performance. This research reveals that integrating multiple regression and Evidential F-MCDM methods can be a hybrid methodology in supplier selection. Thus, a different perspective is introduced into the green supplier selection decision-making process by considering the effects of criteria in the MCDM model on green performance. This innovation enhances the criteria determination and selection processes in classical MCDM approaches. In addition, green dynamic capacity is the most critical criterion in supplier selection based on their green performance, especially in the scope of this research.
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    Evaluation of Containerized Trade and Competitiveness among Container Ports in Black Sea Basin
    (Univ Rijeka, Fac Maritime Studies, 2024) Danie, Metin; Acar, Avni Zafer
    With the increase in trading volume and competitiveness in global trade, ports have become indispensable and critical rivalry zones for countries. As competitiveness among the firm increase at a global level, ports become a rivalry zone cause of being the most critical economic structures and increasing competitiveness for transnational business and trade activities. The Black Sea Basin is one of the most important waterways in the world in terms of commercial, political and strategic aspects. The devastating consequences of conflicts and tensions, especially in recent years, prove the importance of the Black Sea Basin for world maritime trade. Therefore, the ports of the Black Sea Basin are of great importance. When the existing literature is reviewed, it is seen that there are many studies on the competitiveness and efficiency issues. Since the studies in the literature are mostly conceptual, it is obvious that they do not reveal analytical results, which constitutes a deficiency in the literature. In addition, the lack of a scientific study on the efficiency of container ports in the Black Sea Basin in recent years has made this study necessary. The aim of this study is to examine the efficiency and competitiveness of container ports in the Black Sea Basin, which has a great importance both regionally and globally. The Data Envelopment Analysis (DEA) of the input-oriented CCR model, which is a linear program, was used to measure the productivity of the ports, and the relative efficiency of the ports was calculated.
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    Introducing a managerial decision-support tool for technology adoption in supply chains: a case study in the shipbuilding industry
    (Taylor & Francis Ltd, 2025) Karakas, Serkan; Acar, Avni Zafer
    Blockchain technology promises significant benefits within the scope of the supply chain and attracts the attention of scholars and practitioners. Academic research focused on revealing the disruptive potential of blockchain in supply chains, in functional and structural dynamics, is visibly increasing. Furthermore, businesses have realised the potential of the technology, and several have launched various platforms, such as CargoX, Blockshipping, and IQAX's eBL. Some platforms, however, have ceased to exist due to a number of challenges, including costs, low profitability, and scalability-related issues. This context highlights the need for a holistic and practical perspective on the net value of blockchain adoption that considers both the benefits and risks of the technology. Nevertheless, the primary shortcoming of the existing research is that the proposed adoption models are mostly conceptual and have low applicability. Therefore, this study aims to fill this gap by introducing the net value of adopting technology. The proposed methodology outlines the computational foundation of the proposed net value metric, and an engineering firm operating in the shipbuilding supply chain is identified for pilot application and early implementation of the proposed decision-support model.
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    The Role of Eco-Innovation and Environmental Management Accounting in Fostering Performance Effect by Green Dynamic Capabilities in the Hotel Industry
    (Mdpi, 2025) Acar, Avni Zafer; Acar, Pinar; Aslan, Mustafa; Yaylali, Ipek; Yilmaz, Onur Kemal
    Despite growing attention to sustainability in the global tourism industry, empirical evidence explaining how internal organizational capabilities translate into superior environmental performance remains scarce-particularly in emerging markets. This study investigates the performance effects of green dynamic capabilities (GDC) in driving environmental performance in the hotel industry, with a particular focus on the mediating effect of eco-innovation (ECI) and the moderating effect of environmental management accounting (EMA). Although environmental sustainability in tourism has become a global imperative, limited empirical evidence exists on how internal capabilities and accounting practices jointly enhance hotels' green performance-particularly within emerging economies such as T & uuml;rkiye. Drawing on dynamic capabilities theory and resource orchestration perspectives, this study addresses this research gap by analyzing survey data collected from 108 managers of Green Key-certified hotels in T & uuml;rkiye. The developed research framework was tested through Partial Least Squares Structural Equation Modeling (PLS-SEM) using SmartPLS 4. The results reveal that GDCs positively influence environmental performance, and this relationship is significantly mediated by ECI. Moreover, EMA strengthens the positive effect of GDCs on ECI, highlighting its role as an enabling internal infrastructure. These findings suggest that the realization of sustainability outcomes depends not only on the presence of capabilities but also on how these are embedded within innovation processes and internal organizing systems. The study contributes to sustainability and management literature by offering a context-specific understanding of the capability-infrastructure-performance nexus and providing actionable insights for hotel managers in emerging tourism markets.