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Öğe Evaluation of factors affecting the decision to adopt blockchain technology: A logistics company case study using Fuzzy DEMATEL(Ios Press, 2020) Maden, Ayca; Alptekin, EmreBlockchain practices have been attracting attention in industries other than financial services, since blockchain is not only an information technology, but also an institutional technology owing to its new currency economics and distributed structures. Today, supply chains, power, and food/agriculture have emerged as promising areas in terms of their potential to incorporate blockchain technology for improving processes and reducing costs. Logistics corporations, especially, have been concentrating on developing efficiency in integrated data, fleet management, and communication issues, to achieve cost advantages. Experts from a well-known logistics company in Turkey contributed to our study by helping to assess critical factors for successful blockchain technology implementation. Our research topic included determining whether blockchain technology is suitable for this company. Fuzzy decision-making trial and evaluation laboratory (DEMATEL) was used to determine and evaluate the critical factors to encourage blockchain technology adoption, based on the company's requirements. For the company experts, the factors affecting the decision to adopt blockchain technology were, in order of priority: cryptocurrency, instant money transfer, privacy, real time processing, smart contract, security, authentication, transparency, immutability, traceability, distributed ledger, reduced delays, and peer-to-peer networks.Öğe Evaluation of sustainable metaverse characteristics using scenario-based fuzzy cognitive map(Pergamon-Elsevier Science Ltd, 2024) Maden, Ayca; Yucenur, G. NilayMetaverse, a virtual world that is parallel to the real world, has gained significant attention in recent years. This is because of the merging of platforms such as Facebook, Instagram, and WhatsApp under the Meta umbrella, intending to encompass all forms of digital communication and virtual environments. The COVID-19 pandemic has further accelerated this trend, as the need for virtual social interaction has grown due to the cancellation of in-person events. However, creating a metaverse environment parallel to the real world necessitates an exami-nation of its sustainability dimensions, including those from economic, environmental, social, and technological viewpoints. A sustainable metaverse must possess certain characteristics, such as being able to meet high computational demands, being interoperable and scalable, and having appropriate norms and regulations in place. This study aims to evaluate the characteristics of a sustainable metaverse in detail. The Fuzzy Cognitive Map is used to handle negative causal relationships and address the lack of crisp data. Additionally, scenario analysis is conducted to examine the impact of changes in specific characteristics on other characteristics. The results of this study provide valuable insights into the understanding of the metaverse and can serve as a valuable resource for those working to create a sustainable virtual world.Öğe Influential factor analysis for cloud computing technology service provider(Elsevier Science Inc, 2023) Buyukozkan, Gulcin; Uzturk, Deniz; Maden, AycaNowadays, computer processes and applications are run on remote Internet servers providing many cloud ser-vices for their users. The increasing number of services, whose features are continually being refreshed, make it challenging to choose the most appropriate option. Evaluation of CCT (Cloud Computing Technology) service providers requires identifying important criteria and their impact on users' decision-making. This paper provides a detailed literature review of these criteria. The method is based on Multi-Criteria Decision-Making (MCDM) since unfavorable and beneficial criteria must be evaluated together to ensure that decision-making is efficient and comprehensive. The process is handled by gathering linguistic expert evaluations on different CCT service providers using a group decision-making (GDM) approach. The 2-Tuple DEMATEL method is applied to reveal the relationships between criteria and dimensions. The weights of the evaluation criteria are determined based on the findings of the empirical study. The impacts of each evaluation criterion are also obtained. The proposed framework enables IT managers and/or related managers to better evaluate CCT services. The empirical findings may produce a guide for users to find out about the system components of CCT. The research results will help companies assess and select the most suitable CCT using linguistic evaluation. The originality of this paper comes from its comprehensive strategical analysis of key factors of CCT to determine standards for service provider assessment. In addition, the researchers recommend the linguistic DEMATEL application, in which decision -makers (DMs) use the linguistic set with which they are comfortable and familiar to assess the relationship between evaluation dimensions and criteria.Öğe Selection of a sustainable location for waste electrical and electronic equipment recycling plant using Entropy and Evaluation based on Distance from Average Solution(Sage Publications Ltd, 2024) Maden, AycaThe production and consumption of electronic goods have experienced a significant increase over the years, leading to a substantial surge in the global volume of electronic waste, commonly referred to as Waste Electrical and Electronic Equipment (WEEE). The selection of a sustainable location for WEEE recycling plants plays a crucial role in mitigating environmental concerns, preserving resources and promoting economic development. It signifies a proactive and responsible approach to electronic waste management in the contemporary world. To tackle the challenge of selecting sustainable locations for WEEE recycling plants, this study employed the Entropy and Entropy and Evaluation based on Distance from Average Solution (EDAS) methodologies, evaluating 10 alternative cities in Turkey based on 13 criteria. The selected criteria include land cost, personnel cost, energy cost, availability of labour, government support degree, tax preferences, road network accessibility, number of electronic equipment producers, existence of recycling plants, suitability of land use, population and availability of renewable resources (wind power and solar energy). The Entropy method was employed to calculate the weights assigned to each criterion, whereas the EDAS method was utilized to evaluate the decision alternatives. The results provide region-specific recommendations, such as Antalya for the Mediterranean region and Samsun for the Black Sea region. The literature lacks sufficient research on the selection of sustainable locations for WEEE recycling plants. Furthermore, the utilization of real data enhances the study's credibility and provides practical insights for decision-making. The selection of a sustainable location for a WEEE recycling plant in Turkey not only demonstrates the country's environmental commitment but also sets a global example for responsible waste management.