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@article{188915,
        author = {S Chinnappala Naidu and Dr. B. R Doraswamy Naick},
        title = {Smart Academia: A Study on the Adoption and Usage Patterns of AI-Driven Tools among Management Faculty at Siva Sivani Institute of Management, Hyderabad},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {3613-3620},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=188915},
        abstract = {Higher education is being redesigned by new technologies that affect teaching, the research environment, and administrative roles. Nowhere does AI have greater potential than in management education because all of the innovation, analytical thought, and data-driven decision-making are critical. The present study is concerned with the awareness, usage, and perceptions of AI-based tools by Management faculty in Siva Sivani Institute of Management (SSIM- Hyderabad). It explores how academics are using AI, including for content creation, curriculum design, data analysis, student assessment, and to support academic research, but also uncovers what the main barriers are that they face (as well as facilitators) to adoption. A mixed-methods approach was used, as a structured questionnaire was distributed to academics from business and management studies. Perceived usefulness, ease of use, and institutional support factors that determine technology acceptance were analysed according to the Technology Acceptance Model (Davis, 1989). The results suggest increasing enthusiasm for AI tools, but they also indicate deficiencies in literacy, training, efforts to teach, and institutional policies. The research highlights the importance of training, explicit ethical guidance, and targeted investment in enabling infrastructure. In doing so, we seek to inform the growing discussion of AI adoption in Indian management education and pave the way for other institutions interested in taking advantage of AI while ensuring academic quality and pedagogical efficacy},
        keywords = {AI-driven tools, Technology Acceptance Model, SSIM, Management education, empirical evidence},
        month = {December},
        }