Extending the Technology Acceptance Model (TAM) for Artificial Intelligence (AI) Adoption: A Conceptual Framework

Ahmad Syahmi Mohd Jantan; Siti Ayu Jalil; Wan Mazlina Wan Mohamed

Authors

Ahmad Syahmi Mohd Jantan Malaysia Institute of Transport (MITRANS), Universiti Teknologi MARA Shah Alam, Malaysia
Siti Ayu Jalil Faculty Business and Management, Universiti Teknologi MARA Cawangan Selangor Bandar Puncak Alam, Malaysia
Wan Mazlina Wan Mohamed Faculty Mechanical Engineering, Universiti Teknologi MARA Shah Alam, Malaysia

Keywords:

Artificial Intelligence, TechTechnology Acceptance Model, Organizational Barriers, Data Quality, Governance

Abstract

The integration of Artificial Intelligence (AI) into organizational operations presents significant opportunities and challenges. While existing models such as the Technology Acceptance Model (TAM) offer foundational insights into technology adoption, they are insufficient to fully capture the complexities surrounding AI implementation. This design paper proposes an extended TAM framework that incorporates critical external variables such as organizational barriers, top management support, AI characteristics, data quality, governance, talent barriers, geo-political influences, and technological readiness. The proposed model aims to provide a comprehensive understanding of AI readiness and acceptance, serving as a basis for future empirical investigation.