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Original research RURALITE ACCEPTANCE ON ARTIFICIAL INTELLIGENCE TECHNOLOGY ON STUNTING PREVALENCE REDUCTIONPages 1-12 Abstract
Artificial intelligence (AI) technology in healthcare has the potential to reach mass targets by providing rapid and free-cost services. The paper tries to reveal determinant factors on AI acceptance using the extended Technology Acceptance Model and testing correlations among organizational capability and self-efficacy as external variables to user’s acceptance on the classic TAM variables. The study utilized a structural equation model for quantitative tests. It is revealed that using advanced technology in rural areas goes beyond simply developing a system that meets technological standards per se. Building local organization capability is a must when it gives a multiplier positive impact on other variables. The better the organizational capability, the higher the self-efficacy of the village users, leading to higher acceptance and increased use of the AI application at the village level. These results reaffirm the strength of TAM as a foundational framework for understanding user acceptance of technology in diverse settings and validate its continued relevance in contemporary research.
Keywords: technology acceptance, organizational capability, self-efficacy.
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Ella Lesmanawaty Wargadinata 
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