Görçün, Ömer Faruk
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GÖRÇÜN, ÖMER FARUK
Ömer Faruk Görçün
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Gorcun, Omer Faruk
Görçün, ÖMER FARUK
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Gorcun,Omer Faruk
Görçün Ö.
Gorcun,O.F.
Gorcun O.
Görçün, O.
G., Ömer Faruk
Omer Faruk, Gorcun
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Görçün, Ömer Faruk
Faruk Görçün,Ö.
Goercuen, oemer Faruk
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Faruk Görçün, Ömer
Faruk Görçün, Ö.F.
Görçün,Ö.F.
GÖRÇÜN, Ömer Faruk
Omer Faruk Görçün
Görçün, Ö. F.
GÖRÇÜN, ÖMER FARUK
Ömer Faruk Görçün
ÖMER FARUK GÖRÇÜN
Faruk Görçün Ö.
Gorcun, Omer Faruk
Görçün, ÖMER FARUK
Ö. Görçün
G.,Omer Faruk
Gorcun,Ö.F.
Görçün, Omer Faruk
Görçün O.
Ö. F. Görçün
Ömer Faruk GÖRÇÜN
Gorcun,Omer Faruk
Görçün Ö.
Gorcun,O.F.
Gorcun O.
Görçün, O.
G., Ömer Faruk
Omer Faruk, Gorcun
G., Omer Faruk
O. Görçün
Görçün, Ömer Faruk
Faruk Görçün,Ö.
Goercuen, oemer Faruk
Görçün, Ö.F.
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Faruk Görçün, Ömer
Faruk Görçün, Ö.F.
Job Title
Dr. Öğr. Üyesi
Email Address
Main Affiliation
Business Administration
Business Administration
01. Kadir Has University
Business Administration
01. Kadir Has University
Status
Current Staff
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
Sustainable Development Goals
15
LIFE ON LAND
1
Research Products
16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
Research Products
14
LIFE BELOW WATER
10
Research Products
6
CLEAN WATER AND SANITATION
0
Research Products
3
GOOD HEALTH AND WELL-BEING
3
Research Products
17
PARTNERSHIPS FOR THE GOALS
16
Research Products
4
QUALITY EDUCATION
0
Research Products
2
ZERO HUNGER
2
Research Products
10
REDUCED INEQUALITIES
2
Research Products
7
AFFORDABLE AND CLEAN ENERGY
8
Research Products
13
CLIMATE ACTION
9
Research Products
1
NO POVERTY
0
Research Products
9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
25
Research Products
12
RESPONSIBLE CONSUMPTION AND PRODUCTION
13
Research Products
8
DECENT WORK AND ECONOMIC GROWTH
6
Research Products
11
SUSTAINABLE CITIES AND COMMUNITIES
23
Research Products
5
GENDER EQUALITY
0
Research Products
Documents
75
Citations
1265
h-index
20
Documents
67
Citations
1034
Scholarly Output
101
Articles
85
Views / Downloads
633/6050
Supervised MSc Theses
1
Supervised PhD Theses
0
WoS Citation Count
920
Scopus Citation Count
1241
WoS h-index
19
Scopus h-index
20
Patents
0
Projects
0
WoS Citations per Publication
9.11
Scopus Citations per Publication
12.29
Open Access Source
36
Supervised Theses
1
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| Journal | Count |
|---|---|
| Engineering Applications of Artificial Intelligence | 9 |
| Expert Systems with Applications | 5 |
| Accounting, Finance, Sustainability, Governance and Fraud | 4 |
| Journal of Cleaner Production | 3 |
| Kybernetes | 3 |
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101 results
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Now showing 1 - 10 of 101
Article Citation - WoS: 2Citation - Scopus: 2Assessing the Renewable Energy Sources for Sustainable Energy Generation Systems: Interval-Valued Q-Rung Orthopair Fuzzy SWARA-TOPSIS(Elsevier Ltd, 2026) Faruk Görçün, Ö.F.; Aytekin, A.; Selçuk Korucuk, S.; Tirkolaee, E.B.Renewable Energy Sources (RESs) help decarbonize power systems, but selecting among them is a challenging decision problem due to multiple, often conflicting, technical, economic, environmental, and health-related criteria. Consequently, numerous studies in the literature have attempted to address this decision-making issue using objective, subjective, and fuzzy decision-making procedures. However, there are still unaddressed research gaps in the literature, particularly regarding the explicit modeling of expert hesitation and ambiguity in real-world RES selection cases. The current study develops a decision-making model based on Step-wise Weight Assessment Ratio Analysis (SWARA) and Technique of Order Preference Similarity to the Ideal Solution (TOPSIS) methods integrated with Interval-Valued q-Rung Orthopair Fuzzy Sets (IV-q-ROFSs) to fill these gaps. Unlike previous studies that have predominantly applied conventional fuzzy MCDM techniques, our model introduces the first integration of IV-q-ROFS into RES selection. This novelty enables a more accurate representation of expert hesitation and uncertainty. The study is applied to a real industrial case in Turkey, where six RES alternatives are evaluated across 43 criteria by five senior experts under the supervision of a three-member professionals’ board. Furthermore, the structured robustness check and systematic literature mapping ensure that the proposed approach is methodologically robust and practically relevant for policymakers and energy planners. The application results of the developed model demonstrate that the estimated energy production potential of the RES and the effects of carcinogens generated from utilizing these energy sources are the critical factors influencing the selection of the most appropriate RESs. Solar energy ranked first among the alternatives. The applicability and validity of the developed model are examined by a comprehensive robustness check consisting of tests of sensitivity, comparison, and resilience to the rank reversal problem. Overall, the study provides (i) a novel methodological framework integrating IV-q-ROFS with SWARA and TOPSIS, (ii) empirical evidence from a comprehensive real-world RES selection case, and (iii) policy-relevant insights into the drivers of renewable energy adoption. © 2025 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.Article Citation - WoS: 9Citation - Scopus: 12Evaluation of Shared Micro-Mobility Systems for Sustainable Cities by Using a Consensus-Based Fermatean Fuzzy Multiple Objective Optimization and Full Multiplicative Form(Pergamon-elsevier Science Ltd, 2024) Saha, Abhijit; Gorcun, Omer Faruk; Pamucar, Dragan; Arya, Leena; Simic, VladimirIn Turkey, the transportation industry's greenhouse gas (GHG) emissions increased by 147.1% between 1990 and 2019. Today, this transportation industry (i.e., freight and passenger) is among the significant contributors to greenhouse gas emissions in Turkey's megacities. Moreover, 65.43% of short-distance trips between home to work and home to school have been made by private automobiles in Istanbul and increasing concerns about environmental pollution have led practitioners to seek practical, robust, and effective solutions to reduce GHG emissions. Shared electric scooters have rapidly become popular for end-users and practitioners in megacities, depending on their valuable advantages. However, the rapid spread of micro-mobility, characterized by escooters, has also raised questions about this system's sustainability, suitability, and applicability. Thus, there are some critical and noteworthy gaps in this issue. This study investigates the factors affecting the suitable e-scooter selection for a sustainable urban transport system. Besides, it aims to develop a methodological framework for assessing the available e-scooter alternatives. For this purpose, a novel negotiation approach, a new form of the Delphi technique, was developed with the help of Fermatean fuzzy sets to identify the influential criteria. Also, the current paper presents a consensus-based MULTIMOORA (Multiple Objective Optimization on the basis of Ratio Analysis plus Full Multiplicative Form) decision-making model based on Fermatean fuzzy sets to address the appraisal problem concerning e-scooter selection. The current paper indicated that economic measures such as acquisition price and upkeep costs affect the e-scooter selection processes. In addition, an optimization model based on cross-entropy and dispersion measures is utilized to compute criteria weights. It highlighted that the costs of e-scooters are still high, and operators consider these criteria instead of the technical and operational features of the e-scooters. Finally, the validity check executed to test the robustness and trustworthiness of the model affirms the model's firmness and trustworthiness.Article Citation - WoS: 20Citation - Scopus: 18Efficiency Analysis of Black Sea Container Seaports: Application of an Integrated Mcdm Approach(Routledge, 2020) Ömer Faruk, GörçünThe current paper carries out an examination about the selection of the proper container seaport, which in the Black sea region. This paper focuses on a research question. Is it possible to apply multi-criteria decision-making methods that can be applied more easily than the DEA technique for decision-makers? In order to determine the best performance analysis technique that can give successful results, two-hybrid multi-criteria decision-making models were selected and operational performances of the container ports in the Black Sea region were analyzed with the help of these integrated approaches. While the first MCDM model consists of the entropy and OCRA technique, the second hybrid model consists of the Entropy and EATWIOS method. The main aim of this paper is to discuss whether these proposed hybrid models can be implemented to make an effective performance analysis for the maritime industry. The second aim of this paper is to evaluate the Black sea container seaports with the help of this suggested model. The study reveals that the proposed MCDM models can be implemented for container port selection successfully and easily and both of them have given very closer results to each other in aspects of the evaluation of the criteria and options.Article Optimizing Location Selection for Foreign Trade Intelligence Centres Using Spherical Fuzzy Methods(Pergamon-Elsevier Science Ltd, 2026) Gorcun, Omer Faruk; Cizmecioglu, Sinan; Boz, Esra; Calik, AhmetThis investigation focuses on a vital research topic that has significant research gaps in the literature, such as the selection of locations for foreign trade intelligence centres, which have a critical role in a country's development, a country's development and export capabilities. Previous studies have primarily addressed site selection in the context of manufacturing industries and retail outlets, focusing on strategies, and often ignored the unique requirements of foreign trade intelligence operations. This study solves the problem by considering the requirements of an innovative and integrated decision-making approach developed in the context of foreign trade intelligence centres, while at the same time filling the relevant research gap. The proposed model provides a mathematical form by extending Delphi management with spherical fuzzy sets to highlight influential evaluation criteria, as well as providing an integrated decision-making model extended with spherical fuzzy numbers to assess alternatives and determine rankings. Ten primary evaluation criteria are established to present a set of criteria for the authorities. The importance level of the criteria and assessments of alternatives for these criteria are aggregated spherical fuzzy numbers. A mixed integer non-linear multi-objective mathematical model is developed for the previous stages' outputs and different parameters. The results of the empirical application in Turkey show that Mersin is the most suitable alternative due to its attractive government incentives and strong commercial vitality compared to other options. The robustness checks verified the model's validity and reliability, proving a consistent decision-making tool for decision-makers and policymakers in the context of systematic decision-making.Article Citation - WoS: 21Citation - Scopus: 20Sustainable Aviation Fuel Supplier Evaluation for Airlines Through Lopcow and Marcos Approaches With Interval-Valued Fuzzy Neutrosophic Information(Elsevier Sci Ltd, 2025) Ecer, Fatih; Tanriverdi, Gokhan; Yasar, Mehmet; Gorcun, Omer FarukIn line with the 2050 net zero emission target, sustainable aviation fuel (SAF) is recognized as one of the most effective decarbonization solutions for the aviation industry, which has been identified among the critical areas for mitigating climate change. However, although sustainability issues and decarbonization have attracted scholars' attention in various terms for the airline industry, we identified some significant theoretical and managerial gaps as follows: (i) the number of studies evaluating sustainable suppliers by airlines via multicriteria decision-making (MCDM) approaches are very few, (ii) the extant literature has no paper addressing airlines' SAF supplier selection process, and (iii) no widely established criteria set in the literature to evaluate the SAF suppliers for airlines. We propose a novel model for the decision-making process of airlines' sustainable SAF supplier selection, including 39 criteria from 5 aspects considering the triple bottom of sustainability. The proposed model involves the combination of the logarithmic percentage change-driven objective weighting (LOPCOW) and measurement alternatives and ranking according to the compromise solution (MARCOS) approaches' extended forms based on the interval-valued fuzzy neutrosophic numbers (IVFNN). A comprehensive sensitivity and comparison control is further exploited to display the developed framework's robustness and practicality. Our results suggest that airlines prioritize the green initiatives of SAF suppliers over the economic aspect in the process of sustainable SAF supplier selection. We provide some managerial and policy insights for practitioners and policy-makers in the airline industry and some directions for further research.Article Evaluation of Railway Intelligent Transportation Systems to Construct Safer Railway Transport Systems with a Novel Decision-Making Model(Elsevier Sci Ltd, 2026) Gorcun, Omer Faruk; Hussain, Abrar; Ullah, Kifayat; Pamucar, Dragan; Simic, VladimirWhile end users typically perceive rail transport as safer than other forms of transportation, it still confronts substantial threats and risks that demand meticulous management. One of the most crucial challenges in rail transport is the management of dense railway traffic on limited infrastructure. The effectiveness of this management is critical to ensuring safety and reliability. To address these challenges, integrating and adapting Railway Intelligent Transportation Systems (RITS) into railway transport systems has become essential for creating a safer and more reliable railway system. A railway system that is poorly structured and does not use advanced technology appropriately struggles to manage these risks effectively. Therefore, the integration of RITS is crucial. Decision-makers must carefully evaluate and select the most suitable RITS to ensure safety and reliability. However, since many conflicting criteria and decision factors affect the evaluation process, selecting the most appropriate RITS is a complex decision problem. This study proposes a new decision-making model by considering these requirements. In this context, the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method, enhanced with Intuitionistic Fuzzy Sets and reinforced by integrating Schweizer-Sklar Hamy Mean Operators, was developed as a practical solution to address the decision-making problem. According to the research results, reliability and the use of the most advanced technology are the effective criteria that influence the selection of appropriate RITSs. In addition, A3 Aselsan, one of the key players in the intelligent transport system manufacturing industry, has been determined to be the most suitable alternative for railway transportation systems. Ultimately, extensive reality tests involving sensitivity and comparative analysis were conducted to check the robustness of the model. The analysis proves the model's soundness and practicality.Article Citation - WoS: 7Citation - Scopus: 73d Printer Selection for the Sustainable Manufacturing Industry Using an Integrated Decision-Making Model Based on Dombi Operators in the Fermatean Fuzzy Environment(Mdpi, 2024) Gorcun, Omer Faruk; Zolfani, Sarfaraz Hashemkhani; Kucukonder, Hande; Antucheviciene, Jurgita; Pavlovskis, MiroslavasThree-dimensional printers (3DPs), as critical parts of additive manufacturing (AM), are state-of-the-art technologies that can help practitioners with digital transformation in production processes. Three-dimensional printer performance mostly depends on good integration with artificial intelligence (AI) to outperform humans in overcoming complex tasks using 3DPs equipped with AI technology, particularly in producing an object with no smooth surface and a standard geometric shape. Hence, 3DPs also provide an opportunity to improve engineering applications in manufacturing processes. As a result, AM can create more sustainable production systems, protect the environment, and reduce external costs arising from industries' production activities. Nonetheless, practitioners do not have sufficient willingness since this kind of transformation in production processes is a crucial and irrevocable decision requiring vast knowledge and experience. Thus, presenting a methodological frame and a roadmap may help decision-makers take more responsibility for accelerating the digital transformation of production processes. The current study aims to fill the literature's critical theoretical and managerial gaps. Therefore, it suggests a powerful and efficient decision model for solving 3DP selection problems for industries. The suggested hybrid FF model combines the Fermatean Fuzzy Stepwise Weight Assessment Ratio Analysis (FF-SWARA) and the Fermatean Ranking of Alternatives through Functional mapping of criterion sub-intervals into a Single Interval (FF-RAFSI) approaches. The novel FF framework is employed to solve a critical problem encountered in the automobile manufacturing industry with the help of two related case studies. In addition, the criteria are identified and categorized regarding their influence degrees using a group decision approach based on an extended form of the Delphi with the aid of the Fermatean fuzzy sets. According to the conclusions of the analysis, the criteria "Accuracy" and "Quality" are the most effective measures. Also, the suggested hybrid model and its outcomes were tested by executing robustness and validation checks. The results of the analyses prove that the suggested integrated framework is a robust and practical decision-making tool.Article Citation - WoS: 17Citation - Scopus: 18The Selection of Appropriate Ro-Ro Vessel in the Second-Hand Market Using the Waspas' Bonferroni Approach in Type 2 Neutrosophic Fuzzy Environment(Pergamon-Elsevier Science Ltd, 2023) Gorcun, Omer Faruk; Pamucar, Dragan; Krishankumar, Raghunathan; Kucukonder, HandeThe second-hand vessel market has quite different dynamics than the market of the new-building vessel, and highly complicated and conflicting criteria and many uncertainties affect the ship selection process. Therefore, it is required to use a robust mathematical model to solve these kinds of decision-making problems. For this purpose, this paper presents an extended version of WASPAS (Weighted Aggregated Sum Product ASsessment) techniques with the help of T2NN based on the Bonferroni function (T2NN WASPAS'B). The three main focal points of the proposed approach are (i) setting the influential criteria to select the appropriate Ro-Ro vessel in the second-hand vessel market; and (ii) presenting a flexible group decision-making approach, which is proper to real decision-making problems. (iii) detecting the interrelations among criteria and eliminating the negative impacts of undesirable and excessive values in input variables on the results. Practical use of the proposed approach is demonstrated to select the appropriate Ro-Ro vessel in the second-hand market. The analysis results show that the most effective and determinative factor is Trailer Lane length, and the most effective alternative is GREIFSWALD. Besides, the consistency and validity of the obtained results have been verified with the help of a stability and robustness check. The results prove that the proposed novel T2NN WASPAS'B model is robust, powerful, and reliable for making rational and realistic decisions.Article Citation - WoS: 1Productivity Analysis of Black Sea Container Ports by Using Integrated Entropy and Eatwos Methods(Eskısehır Osmangazı Univ, 2019) Görçün, Ömer FarukThe Black Sea region is an extremely important region for global trade. Approaches such as short sea shipping and marine highways, which are on the agenda of European Union lead to increase the importance of Black Sea container ports by day by. Thus, performance of seaports of the region will be important factors, which can affect to their development and improvement that will be happened. Because effectivity of seaports may be effected by many factors, it is needed to use the MCDM methodologies can provide a systematic and structural solution way for evaluation. In this study, a hybrid model, which integrated the entropy and EATWOS methods is proposed to make productivity analysis of Black sea container ports. It is expected that obtained results from this study may have a usable characteristic by investors and public authorities in addition to actors, that placed in the logistics processesArticle Citation - Scopus: 16An Integrated Mcdm Approach for Evaluating the Ro-Ro Marine Port Selection Process: a Case Study in Black Sea Region(Routledge, 2021) Görçün, Ömer Faruk; Küçükönder, HandeSelection of the appropriate Roll-on Roll-off (Ro-Ro) port is one of the crucial tasks for the maritime industry. Because there are many factors affecting the selection process, this selection process is essentially a multi-criteria decision-making problem. This paper proposes a integrated approach consisting of the CRITIC (Criteria Importance Through Intercriteria Correlation) technique and the EDAS (Evaluation based on Distance from Average Solution) method to evaluate the Ro-Ro marine ports selection. The obtained results by using the proposed model have been verified carrying out a comprehensive sensitivity analysis. In accordance with this purpose, 10 different scenarios were established and five MCDM methods were applied to make a comparison. Results obtained using the suggested model were verified in dynamic conditions. The main purpose of this implementation is to determine whether any change in the obtained results for each determined scenario. Carried out sensitivity analysis shows that the suggested hybrid MCDM model consisting of CRITIC and EDAS techniques has validity and the obtained results are accurate and realistic. When the results of the sensitivity analysis are reviewed, it can be seen that the P1 option is the best alternative for all scenarios.
