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  1. Ana Sayfa
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Yazar "Aysan, Ahmet Faruk" seçeneğine göre listele

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    A unified theory of acceptance and use of technology and fuzzy artificial intelligence model for electric vehicle demand analysis
    (2024) Aysan, Ahmet Faruk; Yüksel, Serhat; Eti, Serkan; Dinçer, Hasan; Akın, Mahmut Selami; Kalkavan, Hakan; Mikhaylov, Alexey
    This study aims to reveal consumers’ intention to purchase Electric Vehicles (EVs) based on the Unified Theory of Acceptance and Use of Technology (UTAUT) model. A hybrid fuzzy decision-making model with three stages is proposed. First, the experts’ weights are computed using an artificial intelligence methodology. Second, eight UTAUT-based indicators are examined using a T-Spherical TOPSIS-based DEMATEL (TOP-DEMATEL) methodology. The criteria are weighted by using multi-SWARA (M-SWARA) methodology. Third, an evaluation is conducted for the seven emerging countries by considering a Spherical Fuzzy (SF) Additive Ratio Assessment (ARAS) technique. The main contribution of this study is that a new decision-making methodology can identify more significant determinants of intention to use EVs. The methodological contribution of this study is integrating artificial intelligence methodology with fuzzy decision-making theory. The findings demonstrate that environmental factors play the most significant role in the intention to use EVs. Additionally, performance expectancy is also another critical determinant. We also find environmental issues should also be given importance in the production process of EVs. Using fossil fuels while producing these vehicles will significantly reduce users’ confidence. This phenomenon will cause consumers with environmental awareness not to purchase these vehicles.
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    Analyzing energy transition for industry 4.0-driven hybrid energy system selection with advanced neural network-used multi-criteria decision-making technique
    (2024) Liu, Peide; Eti, Serkan; Yüksel, Serhat; Dinçer, Hasan; Gökalp, Yaşar; Ergün, Edanur; Aysan, Ahmet Faruk
    This study aims to select the appropriate renewable energy alternatives for the efficiency of hybrid energy systems to increase energy transition performance. For this purpose, a novel neural network (NN)-based fuzzy decision-making model is constructed that has three different stages. In the first stage, NN-based fuzzy decision matrix is created. Secondly, 6 different variables based on industry 4.0 are weighted with the sine trigonometric Pythagorean fuzzy entropy technique. Additionally, another calculation has been implemented with criteria importance through intercriteria correlation (CRITIC) to identify the consistency of the results. Furthermore, in the third stage, considering 5 different renewable energy alternatives, 10 different combinations are identified for hybrid energy systems. The most effective alternatives are defined by the sine trigonometric Pythagorean fuzzy ranking technique by geometric mean of similarity ratio to optimal solution (RATGOS) method. Moreover, to test the validity of these results, another analysis is conducted using the additive ratio assessment (ARAS) technique. The main contribution of the study is that the optimal renewable energy combination required for an efficient hybrid energy system is determined by performing a priority analysis between the variables. This situation has a significant guiding feature for investors. Similarly, the development of the RATGOS technique both increases the methodological originality of the study and enables more accurate alternative ranking. It is identified that the results of all methods are similar. Therefore, this situation gives information about the coherency and validity of the findings. It is concluded that the most important criterion is real-time capability. It is also denoted that the best combination for hybrid energy systems is Solar-Wind.
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    Explosive behavior in COVID-19 and policy responses: Lessons learned for public health management
    (SAGE Publications Inc., 2024) Gündüz, Lokman; Aysan, Ahmet Faruk; Bağcı, Rıfgı Buğra; Karahan, Hatice
    Since the first case of COVID-19 in Turkey, there has been a lingering question as elsewhere in the world: “When will or should the government impose severe restrictions to protect public health?” From a public health perspective, there is value in developing a model to support proactive implementation of social policies. This study aimed to show the benefits of using a novel econometric test (the Generalized Supremum Augmented Dickey-Fuller Test) to detect explosive behavior (bubbles) in Turkey’s daily COVID-19 cases and deaths. Results from the analysis demonstrated a link between identified explosive episodes and critical public health decisions, especially in the case of daily new deaths. They also showed a negative relationship between the formation of exuberant behavior during the pandemic and the vaccination rate. Public health policymakers can incorporate this method into their arsenal to evaluate the overall health situation in combating the pandemic and respond accordingly. Furthermore, among the lessons learned from the Turkish experience is the importance of having a coronavirus scientific advisory board in the decision-making process and the ability to promptly implement policy measures. JEL Codes: C22, C58, I10, I18.
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    Firm size and financing behavior during COVID-19 Pandemic: Evidence from SMEs in Istanbul
    (Elsevier, 2023) Gür, Nurullah; Babacan, Mehmet; Aysan, Ahmet Faruk; Süleyman, Selim
    This paper examines how small and medium-size enterprises (SMEs) in Istanbul managed their financial needs during the COVID-19 pandemic. A unique survey was conducted in May -June 2021 to analyze the effect of the pandemic on financial conditions and access to finance. The paper maps the differences between firms in terms of their financing conditions and behavior based on their size during the pandemic. The novel data set helps to conceptualize the impact of the COVID-19 pandemic on SMEs. The paper makes a contribution to the literature through using a large number of variables related to firms' financial conditions and opportunities (e.g., credit restructuring, debt postponing, capital injection). The paper hypothesizes that SMEs are less likely than large firms to access formal finance opportunities, but they tend to rely more on informal financing. The empirical findings suggest that, during the pandemic, micro and small firms tend to borrow more from their acquaintances, such as relatives and friends. Micro firms are less likely to restructure their outstanding loans, borrow from banks, or inject capital. Furthermore, micro firms tend to cut their costs more to avoid further difficulty in their financiaVl positions. Micro and small firms tend to apply for bank loans less than large firms, while medium-size firms are more likely to apply. Micro and small firms are more inclined to report difficulty in accessing credit.
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    New horizons in bank mergers: A quantum spherical fuzzy decision-making framework for analyzing Islamic and conventional bank mergers and enhancing resilience
    (MDPI, 2023) Al-Binali, Tamy; Aysan, Ahmet Faruk; Dinçer, Hasan; Ünal, İbrahim Musa; Yüksel, Serhat
    This study explores the implications of merging two fundamentally different types of banks: Islamic and conventional banks. The research aims to provide insight into the unique opportunities and challenges presented by such a merger and to offer strategic guidance for future mergers. A balanced scorecard-based strategic analysis using a Quantum Spherical Fuzzy Decision-Making Approach was used to develop short- and long-term strategic plans for the merged bank. The balanced scorecard included 12 key performance indicators (KPIs) in 4 groups, and the methodology incorporated several questions to guide the analysis. The results of the study offer valuable insights into the potential opportunities and challenges of merging these two types of banks, as well as strategic recommendations for stakeholders at all levels. The study serves as a useful guideline for future mergers between similar or different types of banks. Overall, the findings suggest that a well-planned merger strategy is essential for avoiding challenges and maximizing the benefits of merging Islamic and conventional banks. By integrating the strengths of both types of banks, a merged entity could create a competitive advantage and potentially improve financial performance. However, this requires careful consideration of cultural differences, regulatory challenges, and other factors that could impact on the success of the merger.
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    On the path to high-income status or to middle-income trap: The Turkish economy in search of its future
    (Palgrave Macmillan, 2018) Aysan, Ahmet Faruk; Babacan, Mehmet; Gür, Nurullah; Karahan, Hatice
    The growth episode of the Turkish economy in the 2000s was written based on two integrated fundamentals: fixing the deteriorating dynamics and implementing further reforms to stimulate economic activity. This basic formula led to attractive rates of economic growth, fueled particularly by domestic private investments along with revived consumption and exports. Integrated with the political stability established by single-party governments in the post-2002 period, the improving economic outlook also helped Turkey enjoy record levels of foreign investment, adding momentum to the growth story.
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    Serving SDGs via bank mergers: A neuro quantum fuzzy approach for qatari banks
    (Institute of Electrical and Electronics Engineers Inc., 2023) Al-Binali, Tamy Ahmed Ali; Aysan, Ahmet Faruk; Dinçer, Hasan; Ünal, İbrahim Musa; Yüksel, Serhat
    Determining the right merger strategy for banks is an important step. In this way, risks can be managed more effectively, and long-term financial performance can be achieved. However, there are many different factors that affect this process. It is not optimal for banks to consider all factors due to budget constraints. In this context, it is important to determine the most important ones among these criteria. Accordingly, the purpose of this study is to evaluate alternative merger strategies for banks. For this purpose, 12 different Sustainable Development Goals (SDGs)-based criteria are selected. Multi stepwise weight assessment ratio analysis (M-SWARA) methodology is used to compute the weights of these items. The main contribution of this study is that the implications of the merger process on SDGs can be examined. Furthermore, a new methodology (M-SWARA) is proposed in this study that has an increasing impact on the methodological originality. The findings indicate that increasing profitability has the greatest weight (0.095). Similarly, market share is found as the second most critical factor (0.092) for merger decisions in the banking industry. A profitable bank can attract more investors and with the help of this situation it can be much easier to raise capital and access funding from capital markets. These issues can be used to finance projects that align with SDGs, such as renewable energy, affordable housing, or clean water initiatives. In addition to this situation, profitability can also have a positive impact on innovation and technological advancement. With sufficient resources, a bank can invest in research and development, technological infrastructure, and innovative products and services. Owing to these investments, sustainable development can be promoted.
  • Küçük Resim Yok
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    Turkish economy: Between middle income trap and high income status
    (Palgrave Macmillan, 2018) Aysan, Ahmet Faruk; Babacan, Mehmet; Gür, Nurullah; Karahan, Hatice
    This book scrutinizes the last 15 years of exceptional growth in the Turkish economy, and presents a model for sustainable ongoing growth that has particular implications for other key emerging economies. The growth of the Turkish economy in the 2000‘s was based on two integrated fundamental factors: fixing deteriorating dynamics and implementing further reforms to stimulate economic activity. This basic formula led to pleasing rates of economic growth, fuelled particularly by domestic private investments along with revived consumption and exports. Driven by political stability established by single party governments in the post-2002 period, an improved economic outlook helped Turkey enjoy record levels of foreign investment, adding momentum to its growth story. The Turkish experience in the post-crisis period implies that in order to achieve a fast and- more importantly- sustainable onward growth, the economy needs a new generation of structural reforms that simultaneously heal fragility and vitalize economic activity. The papers in this book offer professional assessments and assistance- especially for policymakers, and present a new direction upon which the Turkish economy- and emerging markets - can progress successfully for a further 15 years.
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    Understanding change in disruptive contexts: The role of the time paradox and locus of control
    (Elsevier Inc., 2023) Manisalıgil, Alperen; Gölgeci, İsmail; Bakker, Arnold B.; Aysan, Ahmet Faruk; Babacan, Mehmet; Gür, Nurullah
    We examine how the experience of time and locus of control influence organizational change in disruptive contexts. Through the cycles of the COVID-19 pandemic restrictions and their relaxations in Turkey, we found that organizations approached change similarly in the short term but differently in the long term. To unpack the mechanism behind these observations, we analyzed in-depth qualitative data from five organizations from March 2020 to September 2021. We reveal that the change process creates time pressure in disruptive contexts, and a time paradox emerges to the extent that the change outcomes increase the available time under time pressure. Depending on their locus of control, individuals either complement organizational change or resist it even more after triggering events that signal the lastingness of the post-disruption situation. Our framework may enhance organizational resilience to future disruptions by highlighting the requirement for change recipients to make complementary moves to regain control.

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