Scopus İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/8651

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  • Article
    The Impact Of Cloud Computing And Artificial Intelligence Integration On Service Transformation İn Academic Libraries
    (University and Research Librarians Association (UNAK), 2025) Celik, Murat
    This study examines the effects of cloud computing and artificial intelligence (AI) technologies, which are the leading components of information age technologies, on transforming academic libraries from traditional service understanding to modern information centers. The findings obtained through the literature review method show that the infrastructural flexibility, efficiency, and scalability brought by cloud computing and the automation, personalization, and accessibility opportunities provided by AI lead to significant transformations in library services. In addition, the studies revealed that integrating cloud computing and artificial intelligence provides significant gains, such as accelerating access to information, improving user experience, and increasing operational efficiency. However, in addition to infrastructural deficiencies and financial constraints, integration processes also bring about various challenges, such as data security, ethical concerns, legal regulations, personnel competencies, and institutional readiness. The study analyzes the current status of these technologies in libraries, their potential application areas, and future effects. It offers strategic recommendations for information professionals and institution managers in this transformation process. As a result of the study aims to shed light on the future service models of academic libraries by offering suggestions such as continuous education, inter-institutional collaborations, strategic planning and the establishment of ethical policies to overcome these difficulties. © 2025 University and Research Librarians Association (UNAK). All rights reserved.
  • Book Part
    Artificial Intelligence in Dentistry
    (CRC Press, 2025) Cagiltay, Nergiz Ercil; Kılıçarslan, Mehmet Ali; Basmaci, Fulya
    Today, with advanced technologies, collecting detailed and big data from the environment and analyzing it using intelligent techniques has become possible, providing important insights into phenomena as well as future predictions. Big data is characterized by its high volume, velocity, and variety. Here, the volume is the amount and size of the data, which is measured in terabytes, petabytes, exabytes, or zettabytes. Velocity is the offered form of big data, which can be batch, near-real-time, real-time, or streaming. Finally, variety is the structure of the big data, which can be structured, such as in relational or dimensional models, as in warehouses, or unstructured, which is stored without any organization. It can also be in semi-structured form, where the data is unstructured but there is some meta-data or some tags for describing the data. Today, these forms of data are being collected for different dental purposes in several formats, such as images, raw data, or coordinates. © 2025 Elsevier B.V., All rights reserved.
  • Article
    Citation - Scopus: 43
    Synergizing Ai and Business: Maximizing Innovation, Creativity, Decision Precision, and Operational Efficiency in High-Tech Enterprises
    (Elsevier B.V., 2024) Ali, M.; Khan, T.I.; Khattak, M.N.; ŞENER, İ.
    The study was conducted on 125 US based high-tech firms from software engineering, hardware production, biotechnology, and telecommunications. Senior-level executives, including CEOs, board members, and CTOs, provided insights through structured questionnaires. Key findings indicate that AI adoption significantly enhances organizational capabilities in terms of employees’ innovation, creativity, and experimentation. Moreover, AI adaptation positively impacts decision making thus yielding more accurate and timely valuable decisions. These findings contribute to both theoretical understanding and managerial practice by guiding strategic investments in AI technologies, fostering innovation, and advocating for ethical AI deployment practices. Future study should examine longitudinal impacts across industries and regions to optimize benefits and minimize risks in digital transformation efforts. It should also integrate qualitative methods for deeper insights and appropriate AI governance systems. © 2024