Adoption of AI Services Based on the Technology Acceptance Model: A Meta-Research Approach

Jeongseon Hwang and Yeongjoo Lim
Additional contact information
Jeongseon Hwang: Kyung Hee University, South Korea
Yeongjoo Lim: Ritsumeikan University, Japan

International Journal of Technology Diffusion (IJTD), 2025, vol. 15, issue 1, 1-14

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.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJTD.394262 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jtd000:v:15:y:2025:i:1:p:1-14

Access Statistics for this article

International Journal of Technology Diffusion (IJTD) is currently edited by Ali Hussein Saleh Zolait

More articles in International Journal of Technology Diffusion (IJTD) from IGI Global Scientific Publishing
Bibliographic data for series maintained by Journal Editor ().