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                    [0] => Analyzing the adoption of Artificial Intelligence in modern library services: a Technology Acceptance Model perspective@en
                    [1] => Analyzing the adoption of Artificial Intelligence in modern library services: a Technology Acceptance Model perspective@pt
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                    [0] => The primary purpose of this research is to analyze the adoption of artificial intelligence in modern library services through the lens of the Technology Acceptance Model. The incorporation of Artificial Intelligence technologies into library operations has the prospect to revolutionize the pattern information is managed, retrieved, and conveyed to users. This methodology outlines a structured approach to qualitatively analyze existing literature on the adoption of Artificial Intelligence in modern library services through the Technology Acceptance Model perspective. By synthesizing findings from various studies, this research aims to provide valuable insights into the factors influencing Artificial Intelligence adoption and the application of Technology Acceptance Model in this context. This study investigates the adoption and acceptance of Artificial Intelligence-driven solutions in a contemporary library setting, utilizing the Technology Acceptance Model as a theoretical framework. The research explore the insights and attitudes of librarians, staff, and patrons in relation to Artificial Intelligence-support systems in libraries, with a special focus on perceived usefulness, perceived ease of use, behavioral intentions, and actual usage. The study also ruminate on regulating factors and external variables that may stimulate Artificial Intelligence adoption in the library environments. Through a broad analysis of Technology Acceptance Model factors in the context of Artificial Intelligence and library services, this research provides valuable insights for libraries looking to implement and enhance Artificial Intelligence technologies to better serve their communities. This study provides libraries with actionable insights and practical guidance for effectively integrating Artificial Intelligence technologies into their services, ultimately leading to enhanced efficiency, effectiveness, and user satisfaction. The originality of this research lies in its innovative application of the Technology Acceptance Model to the adoption of Artificial Intelligence in modern library services. By addressing a contemporary issue with a robust theoretical framework and providing empirical data, this study contributes valuable insights to both the academic community and practical field of library science. It stands out by exploring uncharted territories, addressing unique variables pertinent to Artificial Intelligence, and providing a holistic view of technology adoption in libraries.@en
                    [1] => The primary purpose of this research is to analyze the adoption of artificial intelligence in modern library services through the lens of the Technology Acceptance Model. The incorporation of Artificial Intelligence technologies into library operations has the prospect to revolutionize the pattern information is managed, retrieved, and conveyed to users. This methodology outlines a structured approach to qualitatively analyze existing literature on the adoption of Artificial Intelligence in modern library services through the Technology Acceptance Model perspective. By synthesizing findings from various studies, this research aims to provide valuable insights into the factors influencing Artificial Intelligence adoption and the application of Technology Acceptance Model in this context. This study investigates the adoption and acceptance of Artificial Intelligence-driven solutions in a contemporary library setting, utilizing the Technology Acceptance Model as a theoretical framework. The research explore the insights and attitudes of librarians, staff, and patrons in relation to Artificial Intelligence-support systems in libraries, with a special focus on perceived usefulness, perceived ease of use, behavioral intentions, and actual usage. The study also ruminate on regulating factors and external variables that may stimulate Artificial Intelligence adoption in the library environments. Through a broad analysis of Technology Acceptance Model factors in the context of Artificial Intelligence and library services, this research provides valuable insights for libraries looking to implement and enhance Artificial Intelligence technologies to better serve their communities. This study provides libraries with actionable insights and practical guidance for effectively integrating Artificial Intelligence technologies into their services, ultimately leading to enhanced efficiency, effectiveness, and user satisfaction. The originality of this research lies in its innovative application of the Technology Acceptance Model to the adoption of Artificial Intelligence in modern library services. By addressing a contemporary issue with a robust theoretical framework and providing empirical data, this study contributes valuable insights to both the academic community and practical field of library science. It stands out by exploring uncharted territories, addressing unique variables pertinent to Artificial Intelligence, and providing a holistic view of technology adoption in libraries.@pt
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                    [0] => Oluwole Olumide Durodolu
                    [1] => Ganiyu Ojo Adigun
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                    [0] => Artificial intelligence@en
                    [1] => Modern library services@en
                    [2] => Technology acceptance model@en
                    [3] => Digital libraries@en
                    [4] => Human-ai interaction@en
                    [5] => Inteligência artificial@pt
                    [6] => Serviços bibliotecários modernos@pt
                    [7] => Modelo de aceitação de tecnologia@pt
                    [8] => Bibliotecas digitais@pt
                    [9] => Interação humano-ia@pt
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