Görçün, Ömer Faruk
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Görçün, Ö.
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.
Gorcuen, Omer Faruk
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.
Gorcuen, Omer Faruk
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
76
Citations
1307
h-index
21
Documents
68
Citations
1059
Scholarly Output
101
Articles
85
Views / Downloads
675/6209
Supervised MSc Theses
1
Supervised PhD Theses
0
WoS Citation Count
952
Scopus Citation Count
1282
WoS h-index
20
Scopus h-index
21
Patents
0
Projects
0
WoS Citations per Publication
9.43
Scopus Citations per Publication
12.69
Open Access Source
36
Supervised Theses
1
| 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 |
Current Page: 1 / 13
Scopus Quartile Distribution
Competency Cloud
101 results
Scholarly Output Search Results
Now showing 1 - 10 of 101
Article Citation - WoS: 1Fuel Cell Electric Long-Haul Truck Evaluation for Sustainable Transport Via a Novel Pythagorean Fuzzy Sets-Driven Tool(Elsevier Sci Ltd, 2026) Gorcun, Omer Faruk; Rani, Pratibha; Mishra, Arunodaya Raj; Ecer, FatihFossil fuel-powered trucks and vehicles used in road freight transportation play a notable role in the emission of greenhouse gases. Although the road vehicle industry's use of renewable energy is promising in terms of sustainability, the vehicle manufacturing industry's initiatives are still in their infancy. Moreover, existing studies on using electric and renewable energies in transportation have primarily focused on electric automobiles. Considering these research and practice gaps, this work investigates the selection of the most proper fuel cell electric long-haul trucks (FCETs) to restructure the Turkish fleet of long-haul trucks operating nationwide concerning sustainability. However, assessing these vehicles is challenging, as they are produced based on new and advanced technology, with severe and highly complicated uncertainties. Thus, this paper suggests a Pythagorean fuzzy distance measure-based weighted integrated sum product (WISP) with the integration of the symmetry point of criteria (SPC) and relative closeness coefficient (RCC)-based weighting methods. Surprisingly, and unlike the findings of earlier works, the acquired conclusions indicate that refueling time (0.1161) is the most influential factor for FCET selection, followed by range (0.0837) and torque (0.0785) among the 14 criteria. Besides, the first alternative (R1) outperforms the other options, followed by R5 and R7. Finally, robustness and validity checks ensured the consistency, stability, and practicality of the conclusions. The research can guide manufacturers who produce FCETs and aim to enhance the quality and desirability of their products. Furthermore, practitioners and researchers can utilize the proposed model to solve challenging decision-making problems.Article Citation - Scopus: 1The Impact on Risk Management and Price Discovery due to Governmental Intervention: A Case of Two Commodity Futures(Ayandegan Institute of Higher Education, 2025) Yadav, Ashutosh; Dutta Gupta, Sangita; Faruk Görçün, ÖmerThe study explored the impact of government intervention on price discovery and hedging efficacy concerning the agricultural commodities futures market, specifically on Chickpea (Chana) and wheat futures traded on India's NCDEX. This study examines variations in price discovery events before and after the intervention, utilizing the Garbade-Silber (GS) model and Granger causality tests. The Minimum Variance Hedge Ratio (MVHR) assesses the efficacy of hedging. The results demonstrate significant changes: post-intervention, the futures price of chickpeas exhibits enhanced efficacy in price discovery, but the future-led relationship within the wheat market diminishes. Moreover, chickpea futures exhibit stable hedging efficacy, but wheat futures experience a decline in effectiveness, likely attributable to heightened volatility. The findings indicate the varying effects of regulation on commodity markets, suggesting that targeted interventions could enhance market stability and efficiency. It is beneficial for policy analysts, market participants, and researchers in agricultural futures markets. © 2025 Elsevier B.V., All rights reserved.Article Citation - WoS: 6Citation - Scopus: 9Evaluation of Crawler Cranes for Large-Scale Construction and Infrastructure Projects: an Intuitionistic Fuzzy Consensus-Based Approach(Elsevier, 2025) Gorcun, Omer Faruk; Saha, Abhijit; Ecer, FatihChoosing the proper and best crawler crane is a complicated decision-making issue due to several conflicting criteria and vagueness in the construction and project logistics industries. This decision-making problem has become compounded due to insufficient studies on crawler crane selection in the relevant literature. The current study introduces an intuitionistic fuzzy consensus-based complex proportional assessment model (IF-c-COPRAS) developed to address the existing research gaps and identify the best and most suitable crawler crane. The acquired conclusions revealed that the most potent criterion influencing the crawler crane selection is "job potential," with a weighted score of 0.7665, followed by "periodic control and inspection" and "crane model year." Once the following findings of the paper regarding crawler crane variants are evaluated, the crawler crane manufactured by Liebherr Co. is the most feasible alternative, with a relative significance score of 0.8324. These outcomes provide sensible implications and insights for practitioners and decision-makers in the construction and project logistics (overweight/oversized cargo lifting and transport firms) industries, providing an applicable guideline for improving the quality of construction operations. Additionally, crane manufacturers can consider these managerial and policy implications and insights to improve the abilities and quality of the crawler cranes they produce.Article Citation - WoS: 1Citation - Scopus: 1Evaluation 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: 14Citation - Scopus: 20Fresh Food Supplier Selection for Global Retail Chains Via Bipolar Neutrosophic Methodology(Elsevier Sci Ltd, 2023) Gorcun, Omer Faruk; Aytekin, Ahmet; Korucuk, SelcukDue to increases in world population, rapid urbanization, increasing environmental pollution, and poorly managed food supply chains (FSCs), supplying clean and reliable agri-food has become more critical. Furthermore, increasing concerns of the urban population on healthy and balanced nutrition have increased their demand for fresh foods (FFs). Also, the retail industry has become the leading sector responding to almost all requirements of individuals, including FFs. Heightened awareness of individuals on health, reliability, and quality forces retail chains to provide more qualified, sustainable, and reliable FFs for their customers. Retail chains try to construct and manage well-structured global fresh food supply chains (FFSCs) to respond to customers' needs satisfactorily. Thus, selecting logistics service providers performing FF logistics operations (i.e., cold transportation, warehousing, and other logistics activities) from farms to retailers is essential for reliable and sustainable FFSCs. Because FFSCs are pretty sensitive, and minor mistakes or delinquency may cause severe costs.Global retail chains, in particular, only focus on meeting short-term demand and not on a sustainable fresh food supplier selection; fresh food suppliers are essential to determine sustainability performance. In this context, a more holistic approach is needed, focusing not only on the global retail chain level's direct impacts but also on the positive impacts at the overall system level. While this study fills a gap, it also assesses the long-term and lasting impact of choosing a fresh food supplier.In addition, the impacts of logistics service providers on FFSCs' overall performance have not been addressed adequately in the relevant literature. This work aims to analyze the factors identified by the extended form of the Delphi method developed in the present article, influencing the selection of logistics service providers producing logistics services for fresh fruits and vegetables with the BN-VIKOR procedure. The paper's main significant finding is that the logistics firms' service capacity is the determinative and most influential factor. The current study provides insights and beneficial road maps to the practitioners and decision-makers in retailing industry to structure FFSCs. The results contribute to the literature on criteria for selecting sustainable fresh food suppliers in global retail chains and identify strategies and improvement opportunities that can lead to improvement in practice.Article Citation - WoS: 13Citation - Scopus: 17Selection of Tramcars for Sustainable Urban Transportation by Using the Modified Waspas Approach Based on Heronian Operators(Elsevier, 2024) Gorcun, Omer Faruk; Pamucar, Dragan; Kucukonder, HandeThe wrong design of rail system vehicle fleets is one of the most critical problems in terms of urban transportation. Light rail system fleets in many large cities, including Istanbul, consist of various types and feature vehicles. It creates significant problems in integrating each rail system vehicle into the system. In addition, while it is necessary to keep an inventory of spare parts for each different type of vehicle, it requires different qualifications for professionals involved in processes such as maintenance and repair, leading to extra costs. In this context, the study's primary purpose is to determine the most suitable light rail vehicles for urban transportation systems and create vehicle fleets accordingly. In that regard, the study aims to provide a reliable and practical decision-making model that can be used as a roadmap for decision-makers when choosing tramcars to solve these problems. The present work proposes a hybrid procedure integrating the Best and Worst Method (BWM) and Power-Heronian Weighted Aggregated Sum Product Assessment (WASPAS'PH) approaches. The most critical implication of the work indicated that the acquisition cost per tramcar set (0.148) is still the most influential factor. The economic lifespan of tramcars (0.037), the number of seats in a vehicle set (0.041), and energy consumption (0.072) have followed the most significant criterion, respectively. Besides, it highlighted that the A14 Brand CR (0.7819) is the most appropriate option for well-structuring the urban light rail system fleet. An extensive validation test to check the suggested model's robustness confirmed the procedure's stability and consistency.Book Part Prioritizing Sustainable Energy Strategies Using Multi-Criteria Decision-Making Models in Type-2 Neutrosophic Environment(WILEY, 2026) Görçün, Ö.F.; Küçükönder, H.; Çalık, A.Emphasis on developing sustainable energy strategies is very important for the energy sector to meet its environmental, economic, and social goals. Energy policy mostly considers the need to improve energy efficiency, cut down on carbon emissions, as well as create a profitable market. One of the major problems faced by decision makers is the complication and multi dimensionality of the decision- making process with regard to assessments, which entails numerous decision criteria. Overlooking these complicating factors has the potential of creating huge bottlenecks such as prolonged energy transition timelines, cost overruns, and derailing of environmental targets. This research introduces an approach based on Type-2 Neutrosophic Fuzzy Sets to rank sustainable energy strategies, using Logarithmic Percentage Change based on Objective Weights (LOPCOW) and Ranking of Alternatives through Functional Mapping of Criterion Sub-Intervals into Single Intervals (RAFSI) methods. The proposed model seeks to improve the effectiveness and efficiency of multi-criteria decision-making model in the areas where decision making is characterized by uncertainty and incompleteness. Energy strategies are evaluated in a comprehensive manner along numerous dimensions, including ecological, economic, technological, as well as societal. This approach helps to identify strategies that effectively support the sustainable development objectives of the energy sector. The analysis indicates that prioritizing Research and Development (R&D) strategies is particularly beneficial in achieving these goals. © 2025 Scrivener Publishing LLC.Article Evaluation of the Financial Performance of the Textile and Apparel Industry in Interval Type-2 Fuzzy Environment(Elsevier, 2025) Gorcun, Omer Faruk; Shabir, Mohsin; Calik, Ahmet; Isik, OzcanThe Turkish textile and apparel sector plays a crucial role in the national economy through employment, exports, and investment. The financial performance of companies is a key determinant of their sustainability and competitiveness, especially in global markets. The Turkish textile and apparel sector is one of the essential industries in terms of macro-economic indicators such as net foreign exchange inflow, employment and investment. This sector is also one of the critical actors in world trade. A robust performance evaluation model is essential for stakeholders such as investors, creditors, and managers. However, the assessment of firms is a very critical decision involving uncertainty due to various conflicting criteria based on judgements. In this study, an integrated multi-criteria decision-making (MCDM) model including interval type-2 fuzzy hierarchy process (IT2FAHP) and Compromise Ranking of Alternatives from Distance to Ideal Solution (CRADIS) approaches are proposed to assess the financial performance of Turkish textile and clothing firms that are traded in Borsa I(center dot)stanbul ((BIST)-S-center dot) in the period from 2006 to 2020. In line with the determined purpose, the arithmetic average of the determined financial ratios during the analysis period covering 15 years is computed to obtain long-term performance indicators. The importance weights of the selected financial criteria for the performance evaluation model are identified by employing the IT2FAHP approach. Then, the firms are ranked according to their financial performances with the CRADIS method. In addition, the results from the sensitivity analysis validate the proposed approach and prove that it is practical. Moreover, practical and managerial implications are discussed based on the results. The results offer valuable insights for strategic decision-making and can support efforts to enhance financial stability in the textile and apparel sector. According to the results, "LUKSK" had the highest long-term financial performance among the 11 companies discussed. This company is followed by BOSSA, YATAS, and ATEKS companies. The alternatives confirm the robustness of the proposed model in maintaining its place in the ranking in 190 scenarios. In addition, the comparative analysis confirms the consistency of the proposed ranking framework.Book Part Citation - Scopus: 3Performance Analysis of Domestic Energy Usage of European Cities From the Perspective of Externalities With a Combined Approach Based on Type 2 Neutrosophic Fuzzy Sets(Elsevier, 2022) Faruk Görçün,Ö.; Küçükönder,H.Cities are the urban areas that are most strongly affected by externalities of energy usage. The energy requirements of individuals who live in urban areas are based on their various needs for heating, cooling, transportation, cooking, and so on. For this purpose, inhabitants of cities use various types of energy resources, such as coal, natural gas, electricity, solar energy, and oils. Each energy source has different effects on the environment and on the social and economic lives of people, and this chapter examines the impacts of these resources in urban areas by considering some positive and negative aspects. In particular, domestic energy usage requires a detailed examination. Externalities of urban transportation have been an exciting subject for scholars, as access to data is easier with fewer complications. Keeping these gaps in the literature in mind, this chapter focuses on domestic energy usage and its externalities, such as emissions and environmental pollution, and proposes an extended version of CRiteria Importance Through Intercriteria Correlation (CRITIC) and multiattribute utility theory (MAUT) techniques with the help of type 2 neutrosophic fuzzy sets to evaluate the externalities of domestic energy usage in urban areas. The proposed combined approach based on type 2 neutrosophic numbers identifies the criteria weights using the CRITIC technique and ranks the alternatives with the help of the MAUT approach. According to the results obtained by applying the proposed model, the most influential criterion has been determined to be space cooling. Amsterdam is the best city having good and satisfactory performance concerning ten different externalities indicators, that is, energy usage, emissions, environmental pollution, and so on. The validity of the proposed mixed approach has been tested by performing a comprehensive sensitivity analysis consisting of three stages, and the obtained results prove the validity and applicability of the model. © 2023 Elsevier Inc. All rights reserved.Article Virtual Reality Headsets for Employee Training in Enterprises: Fuzzy SRP Data-Driven Framework for a Comprehensive Evaluation(Springer London Ltd, 2026) Aycin, Ejder; Asan, Hakan; Ecer, Fatih; Gorcun, Omer Faruk; Ulutas, Alptekin; Pamucar, DraganVirtual reality (VR) is progressively transforming employee training in companies by offering immersive and engaging learning experiences. Nevertheless, the selection of an appropriate VR headset is vital for optimizing training effectiveness. This paper addresses this issue by proposing a novel hybrid fuzzy multi-criteria decision-making model that integrates the improved fuzzy stepwise weight assessment ratio analysis (IF-SWARA) with the fuzzy simple ranking process (F-SRP). The IF-SWARA methodology is employed to compute the relative weights of the selection criteria for VR headsets utilized in employee training, whereas the newly developed F-SRP is implemented to rank the various VR headsets. By employing the IF-SWARA method, the model offers a more nuanced understanding of criteria weights, thereby reflecting the differing significance of various headset features. The research's novelties and contributions are as follows: (1) This study is the first to select VR headsets by applying multi-criteria methods. (2) The F-SRP model is developed for the first time in the literature. (3) The introduced F-SRP methodology allows for a comprehensive ranking of the available VR headsets, facilitating informed decision-making. The paramount indicators for selecting VR headset options for training in enterprises consist of technical specifications, comfort and ergonomics, and screen specifications. The results obtained from the fuzzy SRP indicate that the Apple Vision Pro surpasses the other alternatives. Finally, the robustness and applicability of the proposed model are evaluated through an exhaustive sensitivity analysis. This research possesses broader implications for VR training in enterprises by providing a robust and reliable framework, ultimately contributing to the development of more effective and impactful VR training programs.
