1,721,001 research outputs found
DETERMINING THE BARRIERS IN DEVELOPMENT OF UNIVERSITY-INDUSTRY COOPERATION WITH ANP METHOD: AN EXAMPLE OF KARADENİZ TECHNICAL UNIVERSITY
No full text[Abstract Not Available
Examining the role of urban-industrial symbiosis in the circular economy: an approach based on N-Force field theory of change and N-ISM-Micmac
No full textThe circular economy (CE) refers to a new industrial paradigm that contrasts with the linear supply chain structure based on a "take, make, use, dispose" pathway. Due to its potential contributions to improving the CE, industrial symbiosis (IS) has been recognized as a feasible way to advance it. Urban symbiosis is an extension of IS that involves a series of symbiotic relationships among enterprises within the urban area. Combining urban and industrial symbiosis (Ur-IS) is a step toward better resource efficiency in urban areas and industrial zones and urban areas. However, while there are several driving forces for Ur-IS adoption, there are also many inhibiting factors. A comprehensive decision framework is needed to address the principal drivers and challenges for Ur-IS initiatives. Türkiye, designated as a candidate for full EU membership in 1999, also places importance on environmental sustainability goals and effective resource management in its own move towards a CE. Our literature review concluded that there is only one quantitative study investigating the driving and (or) restraining forces for Ur-IS adoption in emerging and industrialized countries. The main purpose of this study is to investigate the potential of Ur-IS implementation in Türkiye through the proposed Neutrosphopic-Simple Additive Weighting Method-based force field theory of change and the Neutrosphopic–Interpretive Structured Modeling-Cross-Impact Matrix Multiplication Method. The findings suggest that lack of policies, lack of incentives and regulations, and vulnerability and supply uncertainty are the most significant restraining forces for Ur-IS implementation in Türkiye. The research findings can assist decision-makers in Türkiye in effectively implementing Ur-IS. © 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature
Scrutinizing blockchain applicability in sustainable supply chains through an integrated fuzzy multi-criteria decision making framework
No full textSustainability 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. (C) 2021 Published by Elsevier B.V.WOS:000790114500010Q
Alleviating 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
No full textDespite 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. © 2022 ElsevierWOS:00077207840000
THE DETERMINATION OF TECHNOLOGICAL INNOVATION LEVEL OF LOGISTICS COMPANIES IN ISTANBUL STOCK EXCHANGE (ISE) MARKET
No full textTeknolojik ve bilimsel alanda yaşanan gelişmeler, işletmelerin küresel anlamda rekabet edebilmeleri, büyümeleri ve üstünlük sağlamaları için yeniliği önemli bir araç haline getirmiştir. Bu çalışmanın amacı, teknolojik yenilik kriterlerinin önem düzeyinin belirlenerek Borsa İstanbul'da (BIST) işlem gören lojistik firmalarını teknolojik yenilik seviyelerine göre sıralamaktır. Bu amaçla kriterlerin ağırlıklandırılmasında Bulanık AHP, firmaların sıralanmasında ise Bulanık VIKOR yöntemleri kullanılmıştır. Çalışma sonucunda, teknolojik yenilik seviyesinin belirlenmesinde "radikal yenilik" en önemli ana kriter ve "otomatik malzeme taşıma sistemleri" de en önemli alt kriter olarak tespit edilmiştir. G lojistik firması ise teknolojik yenilik düzeyi en yüksek firma olarak belirlenmiştir.Technological and scientific developments have closely affected business to use innovation as an important tool to compete in a global sense. The purpose of this study is to determine the importance of the level of technological innovation criteria and to rank logistics companies traded in İstanbul Stock Exchange (BIST) by the level of their technological innovation. For this purpose, Fuzzy AHP method is used to weight the criteria and Fuzzy VIKOR is used to rank the logistics companies. As a result of this study, “radical innovation” is identified as the most important main criteria and “automated material transport systems” is identified as the most important subcriteria in determining the level of technological innovation. The G logistics company is identified as the highest level of technological innovation
Transit warehouse location selection by IF AHP- TOPSIS integrated methods for disaster logistics: A case study of Turkey
No full textDisasters; like earthquakes, fires, floods, wars, etc., are totally undesired events because they can cause unforeseen enormous physical, economic and social losses. In this respect, disaster logistics is crucial in providing fast and effective humanitarian aid at the lowest cost and with no profit motive in case of these unpredictable events. There are many supporting elements to achieve this goal and one of them is building transit warehouses. The aim of this study is to select the most suitable transit warehouse location in the Province of Hatay, Turkey. The weights of the criteria are determined by Intuitionistic Fuzzy AHP and the alternatives are ranked by Intuitionistic Fuzzy TOPSIS. The results show that “Emergency Cases and Natural Disaster” is the most important criterion and Alternative 3 (Kırıkhan) is the best location for the transit warehouse
Leveraging blockchain in response to a pandemic through disaster risk management: an IF-MCDM framework
No full textThe COVID-19 pandemic has underscored the necessity for strategic approaches to manage global catastrophes. This study argues that disaster risk management (DRM) is an essential approach to mitigate the impact of global calamities, such as a pandemic. However, due to the uncertainty emerging from variables such as time and demand, managing DRM effectively involves high complexity. Blockchain technology (BcT) can be implemented to help address these challenges due to its potential to build trust, transparency, and accountability in complex operations. However, no research has quantitatively examined the applicability of BcT in the sub-dimensions of DRM to address the COVID-19 pandemic. The goal and scope of this study is to explore the role of BcT in DRM operations during the COVID-19 pandemic through an Intuitionistic Fuzzy Multi-Criteria Decision Making (IF-MCDM) framework. More specifically, the Intuitionistic Fuzzy Analytic Network Process (IF-ANP) method was utilized to calculate the weights of key criteria (i.e., BcT benefits), while Intuitionistic Fuzzy VIKOR (IF-VIKOR) was used to prioritize the alternatives (i.e., the sub-dimensions of DRM). The findings of this study are threefold. First, supporting effective coordination turned out to be the most essential benefit of BcT to build resilience in response to the COVID-19 pandemic. Second, disaster management was found to be the most appropriate DRM sub-dimension for possible BcT implementation during the COVID-19 pandemic. Lastly, eleven distinct activities involved in disaster management and governance and financial protection were discovered to be the most applicable for BcT. The findings of this study could assist disaster risk managers to assess whether (or not) BcT is suitable for the sub-dimensions of DRM to build national and organizational resilience in the wake of the COVID-19 pandemic. © 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature
Critical Success Factors for Building Resilience in Circular Supply Chains of Electric Vehicle Batteries: Evidence from an Emerging Country
No full textGiven 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. © 2024 American Society for Engineering Management
A decIsIon-makIng approach for open InnovatIon model selectIon In the TurkIsh automotIve Industry
No full textThe concept of open InnovatIon (OI) has become crucIal In the sustaInable competItIveness of IndustrIes. The selectIon and applIcatIon of approprIate OI models for busInesses also compose an Important research questIon. ThIs study aIms to decIde the most suItable OI model In the TurkIsh automotIve Industry through a three-step multI-crIterIa decIsIon-makIng (MCDM) model. FIrstly, the crIterIa that may affect the evaluatIon of the OI models are stated and weIghted by analytIc hIerarchy process (AHP). Afterward, VlseKrIterIjumska OptImIzacIja I KompromIsno Resenje (VIKOR) Is used to rank the OI models that can be Implemented In the automotIve Industry. In the last phase, the Impacts of dIfferentIatIon In crIterIa weIghts are tested wIth one-dImensIonal sensItIvIty analysIs. AccordIng to the results, the coupled open InnovatIon model Is ranked as the best alternatIve and the dIfferentIatIon In crIterIon weIghts does not affect thIs rankIng. ThIs study Is the fIrst attempt that attaIns the most suItable OI model In the automotIve Industry by a hybrId MCDM approach. © 2023 InderscIence EnterprIses Ltd
OPTIMAL LOCATION SELECTION FOR DISTRUBUTION CENTERS IN DISASTER LOGISTICS USING INTEGRATED AHP-VIKOR METHOD: CASE OF ERZİNCAN
No full textYaşanan afetlerin sonrasında, yardım malzemelerinin afetzedelere ulaştırılması ve moral desteğinin sağlanmasında, dağıtım merkezlerinin uygun yerleşimi önemli bir rol üstlenmektedir. Jeolojik geçmişi nedeniyle Erzincan ili için yapılan bu çalışmanın amacı afet lojistiği kapsamında en uygun dağıtım merkez yerinin belirlenmesidir. Bu amaçla iki aşamalı bir model oluşturulmuştur. Modelin ilk aşamasında; dağıtım merkez yeri seçiminde kullanılabilecek kriterler Analitik Hiyerarşi Süreci (AHS) yöntemi ile ağırlıklandırılmıştır. İkinci aşamada ise en uygun kuruluş yeri VIKOR yöntemi ile seçilmiştir. Çalışma sonucunda, "konum" en önemli ana kriter, "B" ise en uygun kuruluş yeri olarak belirlenmiştirSuitable placement of distribution centers plays an important role in the aftermath of the disaster in delivering aid materials and the provision of moral support to the victims. The aim of this study is to determine the optimal location for a distribution center in Erzincan from the perspective of disaster logistics because of its geological history. For this purpose, a two-stage model was created. In the first stage of the model, distribution center criteria were weighted by using Analytical Hierarchy Process (AHP method). In the second stage, VIKOR method has been used for the selection of the optimal site for a distribution center. As a result, as the most important criteria the “position” and the most suitable distribution center location “B” have been identifie
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