Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Erol, Ismail(4)
- Peker, Iskender(4)
- Ar, Ilker Murat(3)
- Searcy, Cory(2)
- Ayaydın, Hasan(1)
- Balıkçı, Hasan Celal(1)
- Barut, Abdulkadir(1)
- Medeni, Ihsan Tolga(1)
- Medeni, Tunc Durmus(1)
- Murat Ar, Ilker(1)
- Ozdemir, Ali Ihsan(1)
- Oztel, Ahmet(1)
- Sahin Macit, Nazife(1)
- Sharabati, Abdel-Aziz Ahmad(1)
- Shırzadı, Said Abdullah(1)
Yayınlar
- MakaleYalnız künye2026Entropy-based VIKOR and TOPSIS approaches for financial performance ranking: evidence from Turkish cement companies listed on Borsa Istanbul
Ayaydın, Hasan; Shırzadı, Said Abdullah; Balıkçı, Hasan Celal; Sharabati, Abdel-Aziz Ahmad; Barut, Abdulkadir
Assessing the financial performance of an enterprise is crucial for demonstrating the effectiveness of the management team, influencing investor decision-making regarding stocks, and meeting the expectations of lending institutions. Cement companies prioritise strengthening their capital structures to better withstand economic shocks. Additionally, these companies aim to use their resources more efficiently to reduce costs, increase sales, boost profits, and achieve faster growth. Accurate evaluations of the financial performance of cement companies are crucial for both the global economic landscape and their impact on the local economy. Consequently, financial performance evaluation models are essential for these companies to enhance their long-term financial results. However, to date, there appears to be no existing model that suggests periodic monitoring of the financial performance of cement companies based on their financial ratios. The current study seeks to analyze the TOPSIS and VIKOR multi-criteria decision-making methods, utilizing an entropy approach among publicly traded cement sector companies based on BIST, data between 2018 and 2020. The objective is to disclose the results of these companies and rank them based on key criteria. Additionally, a comparative analysis was conducted using the VIKOR method. The results indicated that the rankings produced by the TOPSIS and VIKOR methods were similar for 2020 and 2021, though they differed slightly in 2022 and 2023. Generally, BSOKE, KONYA, and BTCIM ranked as the top three companies in both methods, while CIMSA, BASCM, and CMENT ranked the lowest. Furthermore, companies such as AKCNS, CMENT, BUCIM, GOLTS, and NUHCM showed fluctuations in their performance. The study discusses managerial implications and provides recommendations for stakeholders.
- MakaleAçık Erişim2026Critical Success Factors for Building Resilience in Circular Supply Chains of Electric Vehicle Batteries: Evidence from an Emerging Country
Erol, Ismail; Oztel, Ahmet; Peker, Iskender; Ar, Ilker Murat; Searcy, Cory
Given the global expansion of electric vehicles (EVs), decision makers in developing and emerging countries must address important challenges across EV battery supply chains (EVBSCs) toward circularity. For example, batteries usually make up about 40% of an EVs’ value, and the race to achieve net zero emissions will further underscore the critical need for vital minerals and metals, such as lithium, cobalt, and graphite, necessary to make batteries. Stakeholders routinely question the resilience of circular (C) EVBSCs worldwide, from mining valuable materials to manufacturing the batteries necessary to support the widespread deployment of EVs. Identifying and investigating critical success factors (CSFs) of any system is a necessary step in achieving its targets. Little research, however, has been performed to investigate the CSFs for building resilience in EVBSCs, particularly those focused on building a circular supply chain. The goal of this research is, therefore, to systematically scrutinize the CSFs of resilient C-EVBSCs in Türkiye. To this end, a decision framework applying inter-valued neutrosophic ISM-MICMAC is proposed. Based on expert opinions, an application of the decision framework finds that effective government policies, directives, and incentives and well-established dynamic capabilities, are key driving CSFs to building resilience in a C-EVBSC.
- MakaleAçık Erişim2025An Integrated Evaluation of Climate Change and Environmental Sustainability in G20 Countries Using Advanced MCDM Methods
Sahin Macit, Nazife
This study analytically assesses the climate change and environmental sustainability performance of G20 countries using data from the 2024 Climate Change Performance Index (CCPI) and Environmental Performance Index (EPI) reports. The analysis employs Sum-Weighted Information (SWI) and Ranking Alternatives with Weights of Criterion (RAWEC), which are Logarithmic Decomposition of Criteria Importance (LODECI)-based multi-criteria decision-making (MCDM) methods. The study created three separate decision matrices, taking into account the CCPI and EPI criteria individually, as well as their combination. The criterion weights were determined using the LODECI method; greenhouse gas emissions, climate policy, and air quality were the most significant criteria. The results show that China and Saudi Arabia demonstrate strong environmental performance in CCPI-based rankings, while Germany, the United Kingdom and France demonstrate strong performance in EPIbased evaluations. In the integrated analysis, Germany ranked first using both methods. The consistency of the rankings obtained using the SWI and RAWEC methods was high, which supports the reliability of the analyses. However, some differences in ranking were observed depending on the method used, the distribution of criteria and the country sample. Overall, the study emphasizes the pivotal role of methodological diversity and data-driven approaches in multidimensional environmental assessments for policy-making, while demonstrating the robustness of the findings through sensitivity and comparative analyses.
- MakaleYalnız künye2022Alleviating the Impact of the Barriers to Circular Economy Adoption Through Blockchain: An Investigation Using an Integrated MCDM-based QFD With Hesitant Fuzzy Linguistic Term Sets
Erol, Ismail; Murat Ar, Ilker; Peker, Iskender; Searcy, Cory
Despite its clear potential to contribute to sustainability, there are many challenges to adopting circular economy (CE). These barriers impede the implementation of CE; however, research to address them is ongoing. For example, novel technologies have become a key enabler for easing the impact of CE adoption barriers. Blockchain is one disruptive technology that has the potential to address some of those barriers, notably technological, organizational, and ecological. Blockchain is particularly well suited to help address supply chain-oriented barriers to CE adoption. However, a review of the literature shows that while there are a limited number of conceptual studies that address the capabilities of blockchain to alleviate the impact of the barriers to CE, no previous study has focused on this vital subject using a decision tool based on expert data. To this end, this paper proposes an integrated decision framework involving Multi-Criteria Decision-Making (MCDM)-based Quality Function Deployment (QFD) method with Hesitant Fuzzy Linguistic Term Sets (HFLTS) to investigate the true potential of blockchain to address the CE adoption barriers. Our findings indicate that enhanced supply chain traceability management, improved collaboration and coordination in supply chain ecosystems, building higher levels of trust in supply chain ecosystems, and enhanced business models are the most significant functions of blockchain to help overcome the CE adoption barriers.
- MakaleYalnız künye2022Scrutinizing blockchain applicability in sustainable supply chains through an integrated fuzzy multi-criteria decision making framework
Erol, Ismail; Ar, Ilker Murat; Peker, Iskender
Sustainability has become increasingly important over the last three decades and has proven to be a key enabler for constructing resilient supply chains. Customers who want their products to be authenticated for sustainability put pressure on Original Equipment Manufacturers and suppliers to become more sustainable on a global scale. Moreover, social sustainability issues have become more challenging to address, and a growing number of stakeholders put emphasis on societal concerns. To this end, decision-makers are becoming increasingly interested in applying disruptive technologies to address societal, environmental, and economic concerns and accomplish sustainability goals. Researchers argue that disruptive technologies such as blockchain may be implemented to assist supply chains towards building sustainability. However, our literature analysis concluded that existing research has not quantitatively examined the critical functions of sustainable supply chain (SSC) for blockchain applicability using a decision framework. Therefore, this research, through Fuzzy SWARA-COPRAS-EDAS and COPELAND-based framework, is aimed at investigating the most feasible functions of a SSC for potential blockchain implementations. Using this framework, the critical functions of a SSC were ranked against the benefits of blockchain. The findings of this study implied that while sourcing, delivery, transformation and product recovery proved to be the most appropriate functions of SSCs for blockchain applications, customers and product use was the least feasible one. This study aids decision-makers in gaining a more thorough understanding of where in a SSC blockchain may create additional value.
- MakaleYalnız künye2020Evaluating the feasibility of blockchain in logistics operations: A decision framework
Ar, Ilker Murat; Erol, Ismail; Peker, Iskender; Ozdemir, Ali Ihsan; Medeni, Tunc Durmus; Medeni, Ihsan Tolga
The main purpose of this study is to investigate the feasibility of blockchain technology in logistics industry using a quantitative approach. To this end, a decision framework is proposed based on a multi-criteria decision structure that incorporates AHP into VIKOR under Intuitionistic Fuzzy Theory. This integration presents different solutions and rankings based on different decision-making strategies and also captures uncertainty in the evaluation process. While Intuitionistic Fuzzy AHP calculates the importance weights of the proposed criteria indicated as scalability, privacy, interoperability, audit, latency, visibility, trust, and security, Fuzzy VIKOR ranks the logistics operations demonstrated as materials handling, warehousing, order processing, transportation, packaging, fleet management, labeling, vehicle routing and product returns management. The proposed decision framework was applied in a large-scale logistics company located in Turkey. The findings of this study suggest that while the most important criteria are security, visibility and audit, the most feasible logistics operations proved to be transportation, materials handling, warehousing, order processing and fleet management in a possible blockchain implementation. The decision framework in this study may enable decision makers to evaluate the feasibility of blockchain in logistics operations, which is one of the main research gaps in the current blockchain research. Furthermore, this is the first study that integrates AHP and VIKOR methods under Intuitionistic Fuzzy Theory in the context of blockchain.