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Adoption of AI Services Based on the Technology Acceptance Model: A Meta-Research Approach
Abstract
Rapid advancements in artificial intelligence (AI) have expanded its applications across industries, including chatbots, image recognition, speech processing, finance, and manufacturing, enhancing competitiveness and quality of life. The release of ChatGPT 3.5 in November 2022 was a turning point, accelerating information and communication technology transformation. This study identifies key factors influencing AI service adoption and diffusion using the technology acceptance model (TAM). Through a comprehensive literature review, it examines AI service frameworks, extracts determinants of user acceptance, and proposes an artificial intelligence service technology acceptance model, an extension of TAM tailored to AI contexts. Findings show that individual characteristics, system attributes, and social influence shape perceived usefulness, ease of use, enjoyment, and risk, which directly affect adoption and diffusion. The research extends the TAM for AI services and provides practical guidance for organizations and individuals to integrate AI into business and daily practice.
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