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@article{181732,
        author = {Dr. VINEESH A K},
        title = {Determinants of AI adoption among College Students in Kerala – An Integrated Model with PLS SEM NCA approach},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {5283-5297},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=181732},
        abstract = {The present study employed the Unified Theory of Acceptance and Use of Technology (UTAUT) constructs to investigate the dimensions of artificial intelligence (AI) adoption intention among arts and science college students in Kerala. The determinants influencing users' intention to adopt AI were identified as performance expectancy, effort expectancy, facilitating conditions, and perceived trust. The mediation effect of attitude was also investigated. A sample of 489 responses was analyzed using partial least squares structural equation modeling (PLS-SEM) in conjunction with the Necessary Condition Analysis (NCA) approach. The findings revealed that performance expectancy, effort expectancy, facilitating conditions, and perceived trust positively influenced students' attitudes towards AI adoption. However, facilitating conditions and perceived trust did not positively affect students’ intentions to adopt AI technology. Furthermore, the indirect effect of attitude demonstrated a significant impact of various dimensions of AI adoption on intention. The NCA results indicated that performance expectancy, effort expectancy, and attitude were necessary conditions for the intention to adopt AI technology in higher education. This research provides actionable insights for both technology designers and higher education institutions to facilitate AI-enabled transformation in learning.},
        keywords = {AI adoption, Higher education, Attitude, AI adoption intention},
        month = {August},
        }