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Öğe Competitiveness based logistics performance index: An empirical analysis in Organisation for Economic Co-operation and Development countries(SAGE Publications Ltd, 2023) Polat, Mustafa; Kara, Karahan; Acar, Avni ZaferLogistics, beyond being a strategically important function for global supply chains, is a sector of considerable size in terms of the global economy. Thus, economy-wide logistics capabilities have a strategic impact at the national level, supporting countries to achieve a global competitive advantage. For this reason, the logistics performances of the countries not only show the success of using their existing logistics capabilities but also provide significant indications about their competitiveness at the global level. Due to this strategic impact, this study aims to deal with the logistics performances of OECD countries from the perspective of competitiveness and to determine the competitiveness-based logistics performance index (CB-LPI). For this purpose, data envelopment analysis has been applied with two different techniques. The input variables are the Global Competitiveness Index, and the output variables are the Logistic Performance Index. In this empirical study, 7 inputs (infrastructure, skills, product market, financial system, information and communication technology adoption, business dynamism, innovation capability) and 6 output variables (Customs, Infrastructure, International shipments, Logistics quality and competence, Tracking and tracing, Timeliness) have been used. This study is handled in a total of 5 periods. These periods are 2010, 2012, 2014, 2016 and 2018. As a result, it was determined that the competitive logistics performances of 8 countries (Australia, Germany, Italy, Mexico, Poland, Portugal, Spain, and Turkey) were at the level of full efficiency in each period in the application of both techniques. In addition, the CB-LPI covering all OECD countries has been established. Based on the scores obtained, country-based suggestions for countries have been developed.Öğe Developing a hybrid methodology for green-based supplier selection: Application in the automotive industry(Elsevier Ltd, 2024) Kara, Karahan; Acar, Avni Zafer; Polat, Mustafa; Önden, İsmail; Yalçın, Galip CihanThe 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.Öğe Identifying the effects of corruption perception on the relationship between international trade and logistics performance in developing countries(2023) Acar, Avni Zafer; Kara, KarahanAbstract. Purpose – logistics creates a strategic effect by playing a facilitating role in international trade, which has a significant impact on the economic performance of countries. Logistics performance and corruption play an influential role in determining the trade efficiency levels of developing countries. There are two purposes in this research. First purpose is to determine the international trade efficiency level of developing countries based on logistics performance. The second purpose is to determine the efficiency level of trade based on both logistics performance and corruption levels. Research methodology – output-oriented data envelopment analysis (DEA) has been applied in the research. The research covers the years 2012–2020. The sample area is developing countries. Findings – countries with full efficiency levels in 2012–2020 have been determined according to both logistics performance and corruption scores. Research limitations – the research covers the years 2012–2020. The sample area is developing countries. Practical implications – the reduction of corruption levels in some developing countries is an important factor in increasing the level of international trade efficiency. Originality/Value – this research highlights the role of corruption in the relationship between trade and logistics performanceÖğe The MEREC-AROMAN method for determining sustainable competitiveness levels: A case study for Turkey(Elsevier Ltd, 2024) Kara, Karahan; Yalçın, Galip Cihan; Acar, Avni Zafer; Simic, Vladimir; Konya, Serkan; Pamucar, DraganSustainable competitiveness represents a multifaceted phenomenon encompassing economic, environmental, and social dimensions. Macro-level competitiveness strategies are formulated based on the diverse capitals possessed by individual countries, thereby giving rise to variations in the sustainable competitiveness strategies of each country. This research introduces a novel hybrid method called the method based on the removal effects of criteria (MEREC)?alternative ranking order method accounting for two-step normalization (AROMAN) for determining sustainable competitiveness levels. This study aims to assess Turkey's sustainable competitiveness position vis-à-vis its border neighbors. Natural capital, resource efficiency and intensity, social capital, intellectual capital and innovation, economic sustainability, and governance efficiency are the Global Sustainable Competitiveness Index (GSCI) indicators. The GSCI indicators are employed as criteria for determining the sustainable competitiveness scores of countries. The findings show that the “resource efficiency and intensity” criterion has the highest level of significance. The sustainable competitiveness level of Turkey to its neighboring countries is elucidated based on the results. Recommendations are formulated for the development of strategies aimed at determining Turkey's position in the race for sustainable competitiveness. The introduced MEREC-AROMAN can be utilized to provide rules of thumb for other countries to improve their sustainable competitiveness. This research offers decision support for the formulation of countries' sustainable competitiveness strategies and policies, fostering awareness in the planning and establishment of regional collaborations among nations.
