Ümit Hacıoğlu

Küresel rekabete ayak uydurmak ve sürdürülebilir olmak isteyen tüm şirketler ve kurumlar, değişimi doğru bir şekilde yönetmek, teknolojinin gerekli kıldığı zihinsel ve operasyonel dönüşümü kurumlarına hızlı bir şekilde adapte etmek zorundadırlar.

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Ümit Hacıoğlu

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Business & Economics, Computer Science, Government & Law, Engineering, Public Administration

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Listeleniyor 1 - 10 / 36

The evaluation of operational efficiencies of Turkish airports: An integrated spherical fuzzy AHP/DEA approach
(Elsevier, 2022) Hacıoğlu, Ümit; Yılmaz, Mustafa Kemal; Kuşakcı, Ali Osman; Hacıoğlu, Ümit; Yılmaz, Mustafa Kemal; Kuşakcı, Ali Osman; Yılmaz, Mustafa Kemal; Kuşakcı, Ali Osman; Aksoy, Mine; Hacıoğlu, Ümit; Yönetim Bilimleri Fakültesi, İşletme Bölümü; Yönetim Bilimleri Fakültesi, İşletme Bölümü
The demand for air transport services has significantly increased around the globe, which has brought new investments in airports, which, in turn, requires in-depth efficiency analysis of these capital-intensive endeavors. This study examines the operational efficiencies of 46 Turkish civil airports from 2015 to 2018. We employ a novel hybrid methodology that combines Spherical Fuzzy Sets based Analytic Hierarchy Process (SFS-AHP) and Data Envelopment Analysis (DEA), which provides a solid basis for efficiency analysis. To this end, it can handle the hesitancy and uncertainty that the subjective evaluation process of input and output factors possess. Then, we use Self Organizing Maps (SOM), a machine learning method for clustering, to examine the effect of outlier airports on the efficiency scores. Finally, a posthoc analysis is conducted with Tobit regression model to assess the explanatory power of external factors on the efficiency scores, i.e., tourism potential, number of international flights, distance to the city center, population, public/private ownership, and age of airport. The findings show that 67.2% of the Turkish airports operate below the optimal efficiency level, and 93.5% of them should make considerable efforts to refine their operations by implementing managerial and structural changes to reduce input factors. The results also suggest that the airports located in high-density touristic areas achieve higher efficiency levels. Those relatively closer to the city center lead to more airport traffic, generating more revenues. Thus, both factors have a significant impact on efficiency scores. The study provides a novel efficiency analysis framework for airport operators and policy makers that helps them make informed decisions.
Unmasking deception: Exposing the predatory practices of the "Global International Journal of Innovative Research”
(Bussecon International Academy, 2023) Hacıoğlu, Ümit; Yönetim Bilimleri Fakültesi, İşletme Bölümü
In the pursuit of academic excellence, scholars are dependent on trustworthy journals to disseminate their research and contribute to the collective body of knowledge. However, the academic community is not immune to deceptive practices. This letter highlights the case of the "Global International Journal of Innovative Research," where my name, along with esteemed colleagues, was falsely associated with the editorial board without consent. Despite repeated efforts to address this issue, the journal remains unresponsive. This letter announces our intention to publish an exposé article, meticulously uncovering the fraudulent practices of the journal and its publisher. A subsequent public statement aims to warn the academic community about the deceptive nature of the "Global International Journal of Innovative Research" and emphasizes the collective responsibility of scholars to uphold ethical publishing standards. Through this exposé, we hope to safeguard the integrity of academic pursuit and raise awareness about the risks associated with engaging with predatory journals.
Preface
(Springer Nature, 2020) Hacıoğlu, Ümit; Hacıoğlu, Ümit; Yönetim Bilimleri Fakültesi, İşletme Bölümü; Yönetim Bilimleri Fakültesi, İşletme Bölümü
The newest technologies in blockchain environment have been transforming traditional business operations significantly in the last several years. Blockchain Technologies are referred to as the decentralized integration of computers and distributed networks that are linked together safely based on the new growing list of records, so-called blocks, connecting the world to the future of business without regulation of any central authority. Adopting this new technology is a challenging issue for many strategists and managers. It is now time to make a fresh start to understand how the blockchain ecosystem works and shapes the existing business operations in the digital age. Moreover, it is also clear that managerial action is a necessity for coping with this new digital transformational change by adopting new business strategies and philosophies. In a business ecosystem, managing this transformational change is a significant pattern of concern for strategic thinking in front of many pioneering companies in different industries from aviation to communications.
An evaluation of E7 countries’ sustainable energy investments: A decision-making approach with spherical fuzzy sets
(De Gruyter, 2023) Hacıoğlu, Ümit; Aksoy, Tamer; Hacıoğlu, Ümit; Aksoy, Tamer; Rahadian, Dadan; Firli, Anisah; Dinçer, Hasan; Yüksel, Serhat; Hacıoğlu, Ümit; Gherghina, Ştefan Cristian; Aksoy, Tamer; Yönetim Bilimleri Fakültesi, İşletme Bölümü; Yönetim Bilimleri Fakültesi, İşletme Bölümü
The purpose of this study is to identify important strategies to increase sustainable energy investments in emerging economies. For this situation, first, four different indicators are selected according to the dimensions of the balanced scorecard technique. The weights of these items are computed by using Quantum Spherical fuzzy DEMATEL. In the second phase, emerging seven (E7) countries are ranked regarding the performance of sustainable energy investments. In this process, Quantum Spherical fuzzy TOPSIS is taken into consideration. The main contribution of this study is that prior factors can be defined for emerging economies to increase sustainable energy investments in a more effective way. Furthermore, a novel decision-making model is developed while integrating TOPSIS and DEMATEL with Quantum theory, Spherical fuzzy sets, facial expressions of the experts, and collaborative filtering. It is concluded that competition is the most significant factor for the performance of sustainable energy investments. In addition, the ranking results denote that China and Russia are the most successful emerging economies with respect to sustainable energy investments. It is strongly recommended that emerging countries should mainly consider benchmarking the capacity of energy hubs with the aim of increasing the capacity of ongoing energy plants.
Analysis of environmental impact for material production investments using a novel soft computing methodology
(IEEE, 2023) Hacıoğlu, Ümit; Aksoy, Tamer; Hacıoğlu, Ümit; Aksoy, Tamer; Dinçer, Hasan; Eti, Serkan; Aksoy, Tamer; Yüksel, Serhat; Hacıoğlu, Ümit; Mikhaylov, Alexey; Muyeen, S. M.; Yönetim Bilimleri Fakültesi, İşletme Bölümü; Yönetim Bilimleri Fakültesi, İşletme Bölümü
The purpose of this study is to evaluate the environmental impacts of material production investments. The factors of Higg Materials Sustainability Index are defined as the parameters. These factors are weighted by considering T-SF TOPSIS-DEMATEL. Moreover, the items of the life cycle process are defined as alternative set for measuring the environmental effects of each process in the sustainable production investments. These alternatives are ranked with interval valued SF MAIRCA. The calculations are also made for different t, u and d values with the aim of making comparative evaluations. The main contribution of this study is that a priority analysis has been made so that the most significant indicators are defined for the companies to increase sustainability in material production investment process. Another important novelty of this paper is that a new model is created by the name of TOPSIS-DEMATEL. This situation has a positive influence on both increasing methodological originality and overcoming criticized issues of DEMATEL. The results are quite similar for all conditions, so it is understood that the proposed model provides consistent and coherent findings. It is concluded that chemistry is the most critical factor for environmental impact for material production investments. Moreover, recycle is determined as the most optimal alternative.
Investigating the impact of mobile telecom service characteristics on consumer satisfaction in urban Uganda
(SSBFNET, 2021) Manyaga, Fawz; Hacıoğlu, Ümit; Hacıoğlu, Ümit; Yönetim Bilimleri Fakültesi, İşletme Bölümü
This paper aims to examine the impact of mobile telecom service characteristics on consumer satisfaction in urban Uganda, using a Servqual model. The association between customer satisfaction level and service quality characteristics has been tested with a regression analysis. In this study, assurance as a Servqualdimension has been substituted with tariffs to exhibit its effect on customers’ satisfaction levels. Findings verified that some of the Servqual dimensions including reliability, empathy, and responsiveness have been positively affecting the customer satisfaction level in the Ugandan context. The study also demonstrated that the prices of products and services of telecom companies were not the major concerns for telecom consumers in Uganda. The study, finally, provides some practical guidelines to managersof telecom companies as well as hinting out which Servqual dimensions are valued most by customers in Uganda.
Holistic evaluation of energy transition technology investments using an integrated recommender system and artificial intelligence-based fuzzy decision-making approach
(Elsevier, 2024) Dinçer, Hasan; Pamucar, Dragan; Yüksel, Serhat; Deveci, Muhammet; Eti, Serkan; Hacıoğlu, Ümit; Yönetim Bilimleri Fakültesi, İşletme Bölümü
The most essential criteria should be determined in the selection of the suitable energy transition technologies due to budget deficit problem. Therefore, it is necessary to identify the most important criteria in energy transition technology selection. Therefore, a new study is needed to determine the most prominent issues in the correct selection of energy transition technologies. The purpose of this study is to identify the most appropriate energy transition technology alternative. Within this framework, a novel artificial intelligence (AI)-based fuzzy decision-making model has been presented. In the first part, the experts are prioritized by the help of AI methodology. In the next section, missing evaluations of energy transition technology investments are estimated via expert recommender system. Thirdly, the weights of the criteria for energy transition technology selection are computed by quantum picture fuzzy rough sets (QPFR) M-Stepwise Weight Assessment Ratio Analysis (SWARA). At the final stage, selected energy transition technology alternatives are ranked via QPFR-Vlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR). The main contribution of this study is the integration of AI technique to the proposed model. Similar to this issue, using M-SWARA methodology in the process of criteria weighting increases the quality of the findings. This methodology helps to consider the impact relation map of the criteria. The findings demonstrate that the most important factor is cost-effectiveness of energy transition. Similarly, it is also found that the local ecosystem is the second most significant issue. On the other side, the ranking results denote that compact renewable systems for small scale production is the most optimal solution of energy transition technology alternatives.
Q-ROF fuzzy TOPSIS and VIKOR methods for the selection of sustainable private health insurance policies
(MDPI, 2023) Hacıoğlu, Ümit; Aksoy, Tamer; Hacıoğlu, Ümit; Aksoy, Tamer; Erdebilli, Babek; Gecer, Ebru; Yılmaz, İbrahim; Aksoy, Tamer; Hacıoğlu, Ümit; Dinçer, Hasan; Yüksel, Serhat; Yönetim Bilimleri Fakültesi, İşletme Bölümü; Yönetim Bilimleri Fakültesi, İşletme Bölümü
As a result of the inability of people to meet their demands in the face of increasing demands, people tend to have private health insurance in addition to the general health insurance offered as a public service. Due to the increasing trend of taking out private sustainable health insurance, the number of private sustainable health insurance plans in the health insurance market has increased significantly. Therefore, people may be confronted by a wide range of private health insurance plan options. However, there is limited information about how people analyze private health insurance policies to protect their health in terms of benefit payouts as a result of illness or accident. Thus, the objective of this study is to provide a model to aid people in evaluating various plans and selecting the most appropriate one to provide the best healthcare environment. In this study, a hybrid fuzzy Multiple Criteria Decision Making (MCDM) method is suggested for the selection of health insurance plans. Because of the variety of insurance firms and the uncertainties associated with the various coverages they provide, q-level fuzzy set-based decision-making techniques have been chosen. In this study, the problem of choosing private health insurance was handled by considering a case study of evaluations of five alternative insurance companies made by expert decision makers in line with the determined criteria. After assessments by expert decision makers, policy choices were compared using the Q-Rung Orthopair Fuzzy (Q-ROF) sets Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Q-ROF VIšeKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) methods. This is one of the first attempts to solve private health policy selection under imprecise information by applying Q-ROF TOPSIS and Q-ROF VIKOR methods. At the end of the case study, the experimental results are evaluated by sensitivity analysis to determine the robustness and reliability of the obtained results.
An integrated expert recommender system approach to environmental service priorities in renewable energy
(IOP Publishing, 2024) Yüksel, Serhat; Dinçer, Hasan; Hacıoğlu, Ümit; An, Jaehyung; Mikhaylov, Alexey; Karpyn, Zuleima; Yönetim Bilimleri Fakültesi, İşletme Bölümü
The purpose of this study is to analyze the investment success of renewable energy generation projects design. A novel model has been constructed for this purpose. At the first stage, collaborative filtering methodology is taken into consideration to complete missing evaluations. After that, M-SWARA based on QUSFSs with golden cut is used to compute the weights of these factors. Finally, the components of the service design are ranked by TOPSIS approach. The main contribution of the paper is that a new methodology (M-SWARA) has been created in this study by making improvements to SWARA. With the help of this new model, causal directions between the indicators can also be examined. Similarly, collaborative filtering methodology is taken into consideration to complete missing evaluations. In this process, the decision makers are allowed to leave the questions they wanted blank. This situation is considered as the superiority of the proposed model compared to many previous models in the literature. The findings indicate that cost is the most significant factor for the success of renewable energy investments because it gets the highest weight (.261). The ranking results also demonstrate that product is the most essential component of the service design of renewable energy investments. Therefore, solving the high-cost problem is of vital importance to increase these investments. First, renewable energy companies can reduce costs with more effective financial management. To carry out this process effectively, a finance department consisting of qualified personnel is needed. Thanks to this team, current situations in the financial markets will be better followed and this will play an important role in reducing costs.
Development of a sustainable corporate social responsibility index for performance evaluation of the energy industry: A hybrid decision-making methodology
(Elsevier, 2023) Hacıoğlu, Ümit; Yılmaz, Mustafa Kemal; Delen, Dursun; Hacıoğlu, Ümit; Yılmaz, Mustafa Kemal; Delen, Dursun; Dinçer, Hasan; Yüksel, Serhat; Hacıoğlu, Ümit; Yılmaz, Mustafa Kemal; Delen, Dursun; Yönetim Bilimleri Fakültesi, İşletme Bölümü; Yönetim Bilimleri Fakültesi, İşletme Bölümü
The ever-increasing pressure from stakeholders and policymakers on energy companies to achieve Sustainable Development Goals (SDGs) and Corporate Social Responsibility (CSR) mission requires them to reinvent their policies and practices. This study aims to examine the performance of alternative business models for the oil and gas industry by employing a hybrid business analytics methodology under a fuzzy environment resulting in a generalizable model named “Sustainable Development Goals-oriented CSR Index.” The proposed methodology employs a hybrid framework that utilizes bipolar Q-rung Orthopair Fuzzy (q-ROF), Multi Stepwise Weight Assessment Ratio Analysis (M-SWARA), and Elimination and Choice Translating Reality (ELECTRE) methods. The findings show that (i) the proposed model is reliable and consistent throughout the similar fuzzy set value ranges, (ii) clean energy is the most important SDG-oriented CSR Index factor for the sustainable energy industry in emerging economies, (iii) drilling is the best alternative energy sourcing for the oil and gas industry, and (iv) clean energy projects have the highest priority for energy investors. The results also highlight that global warming can be managed with effective energy practices for long-term sustainability. Finally, the findings suggest that energy companies should have the essential technological infrastructure and capable workforce to increase investment efficiency.

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