Sürdürülebilir Kalkınma Amaçları
Yayınlar
- MakaleYalnız künye2026An assessment of multi-hazard events in post-earthquake temporary shelters: the case of the February 6, 2023 earthquakes in Türkiye
Deniz Ozturk, Yasemin; Peker, Iskender
The 6 February 2023 earthquakes caused catastrophic losses across 11 provinces of T & uuml;rkiye. To meet urgent shelter needs, extensive tent and container settlements were rapidly established; over time, however, these sites proved highly vulnerable to multi-hazard events. This study investigates the spatial and temporal distribution and impacts of fires, floods, and storms on temporary shelters over a two-year period following the earthquakes. In total, 306 events were identified across eight provinces - 155 fires, 147 floods, and 4 storms - damaging 5,075 containers and 420 tents, and causing 16 deaths and 67 injuries. Seasonal factors played a critical role of these hazards. As the earthquakes occurred during winter, the region's cold, rainy conditions led to frequent flooding and numerous heating-related tent fires, particularly in winter and early spring. March recorded the highest number of events due to intense rainfall, storms, and elevated heating demand. Vulnerable groups - including children, workers, and refugees - were disproportionately affected, with children accounting for six fire-related fatalities. Overall, the results highlight the seasonal nature of multi-hazard events in temporary shelter areas and emphasise the need for climate-sensitive planning, hazard mitigation measures, and improved safety standards in post-disaster temporary settlements.
- 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.
- MakaleÖn baskısı açık2026Mixed Method Investigation of the Major Challenges to the Sustainable Deployment of the Electric Vehicle Charging Station Network in Türkiye
Erol, Ismail; Oztel, Ahmet; Peker, Iskender; Ar, Ilker Murat; Benli, Tolga; Turan, İsmet
Charging the increasing number of electric vehicles (EVs) in use requires the deployment of EV charging station networks (EVCSN). However, there are various challenges to deploying EVCSN in a sustainable manner. Türkiye, a developing country, should also build a robust EVCSN to encourage future adoption of EVs as the country’s market for EVs has been rapidly growing. The literature review concludes that no previous study has systematically explored challenges to the sustainable deployment of EVCSN. The goal of this study is, therefore, twofold: first, it identifies those challenges through the lenses of commonly used theories. Second, it explores them using a multi-criteria decision-making (MCDM) framework that incorporates a rough-derived interval-valued neutrosophic set (R-IVN)-based ISM into MICMAC. By deriving interval neutrosophic information from single-valued expert inputs using rough number operators, the proposed approach more accurately captures epistemic uncertainty and variability in expert judgments compared to conventional interval-based models. The method is further validated through a novel Dice–Sørensen similarity index-based simulation approach. The findings of this study suggest that developing government policies and regulations and addressing the existence of vertically integrated companies are the critical challenges with higher driving powers. These findings provide key responsibilities for stakeholders, including urban municipalities, in developing guidelines for EVCSN deployment.
- MakaleYalnız künye2026Building Resilience in Global Tourism: A Theoretical and Empirical Analysis of Indicators for Sustainable Development
Erol, Ismail; Dogru, Tarik; Oztel, Ahmet; Bilgihan, Anil; Peker, Iskender; Neuhofer, Irem Onder
The primary perspective of this study is the global tourism industry (GTI) as an interconnected supply chain network, encompassing both tourism firms (e.g., hotels, airlines, and operators) and destinations (e.g., local communities and ecosystems). This industry-level focus allows for analyzing resilience indicators that bridge firm-specific capabilities with destination-wide vulnerabilities, rather than isolating one over the other. Using a mixed-method approach, this research conceptualizes resilience through various management theories. First, it identifies critical resilience indicators across institutional, societal, economic, and ecological dimensions. Second, these indicators are analyzed with a novel Spherical Fuzzy Interpretive Structural Modeling and Cross-Impact Matrix Multiplication Applied to Classification framework, utilizing expert opinions to uncover complex interdependencies among indicators. The findings of this study highlight that effective government policies, robust incentive mechanisms, advanced digital infrastructure, dynamic capabilities, and ecologically sustainable tourism practices are key drivers of resilience. However, socioeconomic impacts, tourist satisfaction, and price competitiveness emerge as highly dependent outcomes influenced by these drivers. This study also introduces the Adaptive Global-Local Interaction Theory, a new framework that integrates global influences with local realities to enhance tourism resilience. By offering a comprehensive framework and practical guidelines, this research equips policymakers and stakeholders with actionable strategies to bolster the industry's capacity to anticipate, adapt to, and recover from crises, promoting sustainable development amidst volatile global conditions.
- MakaleAçık Erişim2025Towards precision dentistry through artificial intelligence and blockchain-based digital Twins: Investigating challenges and solution strategies
Erol, Ismail; Peker, Iskender; Medeni, Ihsan Tolga; Yuce, Fatma
The integration of artificial intelligence (AI), blockchain, and digital twins (DT) in dentistry is essential to meet evolving patient expectations and global healthcare challenges. However, realizing their full potential requires addressing significant adoption barriers. While conceptual studies have explored challenges to implementing AI, blockchain, and DT in dentistry, no prior research has systematically analyzed the interrelationships among these obstacles using a structured decision framework. This study employs pentagonal fuzzy (PF) DEMATEL to investigate the connections among challenges to effectively implementing AI and blockchain-based DT in dentistry. Expert opinions highlight ethical considerations and bias and fairness in AI-based DT as the most critical causal challenges. We propose an AI and blockchain-based DT architecture that enables human doctors to leverage DT-based decision support, while AI-driven systems execute high-precision procedures with blockchain-verified workflows. This framework enhances treatment accuracy and personalization in dentistry and offers a scalable model for addressing societal concerns, such as privacy, fairness, and labor dynamics, in technology-driven ecosystems. A pilot study framework is proposed to validate diagnostic accuracy, data security, and treatment customization. Accompanied by stakeholder guidelines, this research bridges dentistry with broader discussions on technology's societal impact, emphasizing the need for interdisciplinary strategies to ensure equitable and trustworthy innovation.
- Kitap BölümüAçık Erişim2025Ensuring Circularity through Outsourcing Decisions in Solar Photovoltaic Supply Chains
Erol, Ismail; Peker, Iskender; Benli, Tolga; Ar, Ilker Murat
Because solar photovoltaic (SPv) panels have seen such significant cost reductions in recent years, it has proven to be by far the most dynamic forms of renewable power generation. However, the transition from linear to circular is also crucial for building sustainability in SPv supply chains. The circular economy (CE) is appealing in part because of its ability to bring economic and environmental development objectives together to ensure sustainable production and consumption. To aid in the shift to a more circular economy, several circular-based strategies for various functions such as procurement can be developed. In this study, critical success factors (CSFs) to ensure circular outsourcing structure in SPv supply chains are identified and scrutinized. To achieve this, a multi-criteria-based methodology is proposed. The findings of this study argue that understanding the actual implications of not converting to circular outsourcing (C12) is the most significant cause CSF. This study also provides several implications.
- MakaleAçık Erişim2024Transit warehouse location selection by IF AHP- TOPSIS integrated methods for disaster logistics: A case study of Turkey
Yesilcayir, Nigar; Ayvazoglu, Gulsah; Celik, Sefa; Peker, Iskender
Disasters; 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.
- MakaleAçık Erişim2024The Status of University Business Schools Regarding Industry 4.0: From the Turkish Perspective
Ilhan-Nas, Tulay; Saglam, Aysegul; Okan, Tarhan; Peker, Iskender
Industry 4.0, whose effects have been more and more noticeable in recent years, and the digital change it brings call for a new educational model that aligns university instructional processes and curricula with the demands of business. This approach, known as University 4.0, intends to promote more technology-based applications, the power of innovation, the training of skilled specialists to satisfy industrial needs, and the development of competences that can achieve multidisciplinary projects. It is of utmost importance to adapt late-industrializing nations’ educational systems, such as Turkey’s, to this change process. The aim of this research, which takes the Turkish context as a reference, is to reveal how the curricula and educational processes of business schools should be shaped with a perspective that takes into account the human resources requirements of industry 4.0. A decision-making technique that integrates QFD, Delphi, and DEMATEL methods was employed in the study. The results clearly show that the most important expectation for social stakeholders is to provide university-industry cooperation. However, some of the most pressing problems include applied learning through collaborative educational experiences, teamwork skills, changing roles and competencies of academics. The findings point out that the educational activities of business schools must be linked with industry expectations through technology-based training activities and teamwork.
- MakaleAçık Erişim2024Exploring the enablers for building resilience in solar photovoltaic Energy supply chains
Erol, Ismail; Peker, Iskender; Benli, Tolga; Ar, Ilker Murat; Searcy, Cory
A solar photovoltaic energy supply chain (SPvESC) is a global network with several linkages, including mineral and metal mining, material processing, and module and panel manufacturing. Due to the wide range of uncertainties and the unfavorable environmental effects associated with current linear business models, this global network is vulnerable to disruptions. Strengthening the resilience of SPvESCs is crucial for addressing any disturbances. This requires identifying the key enablers of resilience in SPvESCs, an area that has been understudied in the existing literature. An enabler is an aspect that facilitates the achievement of a goal by another aspect. This research contributes to the existing literature by systematically investigating the enablers for SPvESCs to achieve resilience. Thus, the objective of this analysis is to identify enablers that have the potential to enhance the resilience of SPvESCs in Türkiye. This was done by applying the Nominal Group Technique (NGT) in conjunction with a review of the current literature. Neutrosophic (N)-DEMATEL was then utilized to determine the relationships between the identified enablers. Finally, the results were validated using N-DELPHI. The results revealed that sensing and seizing new business models, adaptability to changes in novel energy generation and information technologies, and business contingency plans for natural and man-made disasters were the most influential enablers. The findings provide implications for practitioners, policymakers, and researchers to help ensure improved resilience in SPvESCs.
- MakaleAçık Erişim2024Supply chain resilience in the tourism and hospitality industry: A comprehensive examination of driving and restraining forces
Erol, Ismail; Oztel, Ahmet; Dogru, Tarik; Peker, Iskender; Neuhofer, Irem Onder; Benli, Tolga
Supply chain disruptions and a lack of resilient supply chains have adverse impact on the global economy. Particularly, complex nature of the tourism and hospitality industry makes it even more susceptible to failure when supply chain resiliency is rather low or does not exist. However, despite its significance, a comprehensive and systematic examination of building resilience in tourism and hospitality supply chains (THSCs) is lacking in the extant literature. The purpose of this study is to develop a comprehensive framework that outlines the driving and restraining forces for building resilient THSCs. The decision framework proposed in this study integrates rough interval valued neutrosophic (RIVN) force field theory of change with RIVN-ISM-MICMAC methodology. The results showed that the restraining forces, such as lack of effective regulations and incentives and effective organizational and supply chain policies are the primary factors that constrain improving resilience in THSCs. Theoretical and practical implications are discussed.
- MakaleAçık Erişim2023Oilseed warehouse location selection with an integrated approach: a case of Turkey
Gergin, Ramazan Eyup; Peker, Iskender; Baki, Birdogan; Tuzkaya, Umut Rifat; Tanyas, Mehmet
Purpose Agricultural sector not only meets the nutritional requirements of all living creatures but also generates the primary source of the raw material provided by various branches of industry to fulfill their functions. It is of great importance to increase studies on oilseeds which have an important role in Turkey's agricultural products. They are grown in almost all of the country, which are vital for the nutrition and many sectors. The main purpose of the study is to offer an integrated approach to determine potential warehouse locations for oilseeds. Design/methodology/approach This is the first study that integrates Delphi, analytical hierarchical process (AHP), technique for order preference by similarity to ideal solution (TOPSIS), P-Median and Panel data analysis in a real case. This integrated approach consists of the following steps, respectively: (1) The criteria were determined by the Delphi method. (2) The weights of the criteria were calculated by AHP and the provinces with the highest oilseed warehouse potential in seven regions of Turkey were specified by TOPSIS. (3) Oilseed warehouse numbers and locations were obtained by P-Median. (4) In order to answer whether the distribution network is profitable in the future with the determined center locations, a forecast model based on panel data analysis was created. (5) Regional representatives were determined for 2030, and the distribution network was analyzed again. (6) The costs that arose in 2018 and 2030 were computed and compared by cost analysis. (7) The effect of the change in criteria weights on the alternative results was tested by scenario analysis. Findings The findings indicated that oilseed crop production potential and oilseed crop production area turned out to be the most important criteria. Furthermore, the results showed that this model is robust and suitable for warehouse location selection studies. Practical implications The study can serve as a guide for local and central policy makers with both the criteria it uses and the model it develops. Originality/value The main contribution of this study is that the integrated approach has been used for the first time in location selection in a real case.
- MakaleAçık Erişim2023A decIsIon-makIng approach for open InnovatIon model selectIon In the TurkIsh automotIve Industry
DemIr, Ayse; Peker, Iskender; Gök, A. Cansu
The 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.
- MakaleYalnız künye2023Examining the role of urban-industrial symbiosis in the circular economy: an approach based on N-Force field theory of change and N-ISM-Micmac
Erol, Ismail; Peker, Iskender; Ar, Ilker Murat; Searcy, Cory
The 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.
- MakaleAçık Erişim2023Leveraging blockchain in response to a pandemic through disaster risk management: an IF-MCDM framework
Peker, Iskender; Ar, Ilker Murat; Erol, Ismail; Searcy, Cory
The 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.
- MakaleAçık Erişim2022SUPPLIER SELECTION BY INTEGRATED IFDEMATEL-IFTOPSIS METHOD: A CASE STUDY OF AUTOMOTIVE SUPPLY INDUSTRY
Gergin, Ramazan Eyüp; Peker, Iskender; Kısa, A. Cansu Gök
Selecting the best supplier emerges as a crucial subject for all sectors to achieve long term collaborations in supply chains. This study object to select the most suitable supplier for a company engage in activities in the automotive supply industry. For this purpose, a five-stage Intuitionistic Fuzzy Multi-Criteria Decision Making (IFMCDM) model is conducted. Firstly, decision criteria are defined by literature research and expert group opinions. Secondly, the importance weights of these criteria are obtained by IF Decision Making Trial and Evaluation Laboratory (IFDEMATEL). Followingly, the most suitable supplier is assessed by IF Technique for Order Preference by Similarity to Ideal Solution (IFTOPSIS). In the fourth stage, Sensitivity Analysis is utilized to analyze the effect of differentiation in criterion. Lastly, a comparative analysis is carried out. The results of the study has pointed that “Price” is the most important criterion in supplier selection and “Supplier 4” is the best alternative for this case. Main contribution of this study is to integrate IFDEMATEL-IFTOPSIS method for the first time in automotive supplier selection literature and propose a specific decision framework. In addition, proposed model is found robust and valid.
- 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.
- MakaleAçık Erişim2022Closing the Loop in Photovoltaic Solar and Wind Power Supply Chains: An investigation in Turkey through Neutrosphopic-DELPHI-based Force Field Analysis and Neutrosphopic-DEMATEL
Erol, Ismail; Peker, Iskender; Turan, İsmet; Benli, Tolga
Since solar panels and wind turbines have limited lifespans, solar photovoltaic energy supply chain (SPvESC) and wind energy supply chain (WESC) in Turkey needs a paradigm shift to improve the efficiency and recyclability of solar panel and wind turbine components. The circular economy (CE) is a viable strategy for reducing the negative effects of linear supply chains in the SPvESC and WESC. However, despite the several drivers of implementing CE in the SPvESC and WESC, there are also barriers to CE initiatives. It is argued that further studies are needed to explore the drivers and challenges for CE adoption in different industries of developing and developed countries. Hence, the goal of this research is to explore the driving and restraining forces for CE adoption in Turkey's SPvESC and WESC through a decision framework that includes Neutrosphopic DELPHI-based Force Field Analysis, Neutrosphopic-DEMATEL, and Nominal Group Technique. The findings of this research suggested that because the total score of restraining forces is higher than that of driving forces in force field analysis, it is critical to investigate the relationships among the restraining forces. Our findings also suggested that nonexistence of effective incentives and regulations proved to be the most prominent restraining force.
- MakaleYalnız künye2022A multi-stage decision making model for determining a suitable innovation structure using an open innovation approach
Yildirim, Ercan; AR, Ilker Murat; Dabić, Marina; Baki, Birdogan; Peker, Iskender
This study seeks to form an end-to-end analysis of Open Innovation stages, developing a three-part consecutive multi-stage decision making model for a suitable innovation structure by linking the processes used to determine the innovation type (open, closed), the OI type (inbound, outbound, coupled), and the collaboration type (science-based, market-based). The decision-making criteria for the OI stage are determined by academic literature and finalized by Delphi technique. The criteria for relationships are determined through expert evaluation. The Fuzzy Analytic Network Process is applied in order to determine the weights and rankings. The most important criterion to consider when choosing the innovation type is open innovation awareness. For the OI type, the most important criterion is knowledge acquisition and, for collaboration, it is network building. This approach allows us to predict the potential risks or costs of the OI process and the possibility of decision errors can thus be reduced.
- MakaleYalnız künye2021Assessing the feasibility of blockchain technology in industries: evidence from Turkey
Erol, Ismail; Ar, Ilker Murat; Ozdemir, Ali Ihsan; Peker, Iskender; Asgary, Ali; Medeni, Ihsan Tolga; Medeni, Tunc
Purpose The objective of this study is to assess quantitatively how feasible blockchain is for various industries, such as logistics and supply chain, health, energy, finance, automotive, pharmaceutical and agriculture and food using a comprehensive list of indicators. Design/methodology/approach A decision aid was applied to the problem of identifying the feasibility of blockchain in Turkish industries. To this end, first, a set of indicators was identified. Then, the fuzzy AHP and fuzzy TOPSIS were utilized to assess the feasibility comparatively using the data gathered from a group of experts. Finally, a scenario analysis was conducted to ensure the consistency of our evaluation. Findings The findings of this study suggest that comparatively, logistics and supply chain, finance and health industries are the most feasible industries for blockchain. This study further suggests that blockchain is the least feasible for the automotive industry compared to the rest of the identified industries. Research limitations/implications It is cumbersome to find out the respondents who have sufficient knowledge of both blockchain and the identified industries. Even if we took the utmost care in identifying the right respondents, we limited our search to the biggest industrial hubs of Turkey. Practical implications The findings of this research may help various decision-makers employed in governments, conglomerates, software and consulting firms and national research institutions make more informed decisions and allocate their resources more effectively. Originality/value To this date, the current studies have solely investigated possible research opportunities in blockchain and demonstrated several blockchain applications in stand-alone cases. To the best of our knowledge, however, no single study exists that evaluates the feasibility of blockchain comparatively and holistically among a group of industries using various indicators.