Yazar "Gursoy, G." seçeneğine göre listele

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    Changing ownership in the turkish non-financial corporations listed on borsa Istanbul (BIST)
    (Virtus Interpress, 2015) Atici, G.; Gursoy, G.
    Purpose of the study is to investigate the changing ownership structures in the Turkish non-financial corporations listed on Borsa Istanbul (BIST) for the period of 1992-2014. This time frame entails the structural changes in the Turkish economy as well as Turkish corporations. With respect to ownership concentration, Turkish non-financial corporations reveal a concentrated nature. Most changes in ownership structures are triggered by the local and global economic and financial factors. In the years of research, excluding the economic crises periods, we witness a decrease in the shares of the largest shareholders and an increase in the shares owned by the minority shareholders. This finding can be interpreted as the democratization of capital in Turkish corporations. The initial public offerings and privatizations in Turkey tend to increase before the financial and economic crises, implying that democratization of capital needs stable economic environment. Findings assert that most of the new initial public offerings are mainly from the family owned corporations, which yield a promising sign in favor of improving corporate governance practices. © 2015, Virtus Interpress. All rights reserved.
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    Impact of Machine Learning in Digital Marketing Applications
    (Institute of Electrical and Electronics Engineers Inc., 2022) Gursoy, G.; Varol, A.; Varol, S.
    The devastating Covid 19 pandemic has shifted priorities in the business world to accommodate the new normal that the pandemic has caused. Digital marketing has become a necessity for corporations to keep up with the evolving needs of consumers. With the help of the emerging technologies, corporations have begun embracing tailored digital marketing applications that aim to attract and retain more consumers. The techniques or applications used by businesses to improve their marketing performance are consolidated and supported by artificial intelligence applications. In this study, we examine the significance of the marketing field and machine learning, as well as marketing techniques, artificial intelligence, and machine learning algorithms. As a result of the examinations, it has been shown how machine learning techniques and algorithms facilitate marketing processes, increase the profitability of businesses and it is very difficult to realize digital marketing without machine learning algorithms. © 2022 IEEE.
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    Importance of Machine Learning and Deep Learning Algorithms in Earthquake Prediction: A Review
    (Institute of Electrical and Electronics Engineers Inc., 2023) Gursoy, G.; Varol, A.; Nasab, A.
    Earthquakes are the leading natural disasters that have caused loss of life and property since the formation of the world. Machine learning and deep learning are frequently used in studies for earthquake prediction. This article consists of a compilation of studies using machine learning and deep learning algorithms. In the article, studies on topics such as earthquake magnitude estimation, signal discrimination, electron density estimations in the ionosphere, examination of radon gas anomalies using machine learning and deep learning algorithms are included. The studies in this paper show that Deep Learning algorithms are used more frequently in earthquake forecasting. It is expected that Deep Learning will provide more successful results in future studies due to its ability to work with larger data sets compared to Machine Learning and its ability to improve itself from errors. © 2023 IEEE.