Citation

Thiagarajah, Siva Priya and Palani, Suvitha and Nila, Farzana Sharmin (2026) Success Factors Impacting Artificial Intelligence Adoption - Perspective from The Telecom Industry in Malaysia. Journal of Engineering Technology and Applied Physics, 8 (2). p. 16. ISSN 2682-8383

Text View of Success Factors Impacting Artificial Intelligence Adoption - Perspective from The Telecom Industry in Malaysia.pdf - Published Version Restricted to Repository staff only Download (4MB)

Abstract

Artificial Intelligence (AI) is playing a growing role in transforming the telecommunications sector by improving customer support, optimizing network performance, and enabling the development of innovative products and services. Despite its advantages, AIadoption in Malaysia's telecom industry faces several challenges, including infrastructure scalability, security issues, and system interoperability. To better understand these barriers, a research study was conducted using a combined Technology Acceptance Model (TAM) and Technology–Organization-Environment(TOE) framework. The study involved surveying network employees from three major Malaysian telecom providers-Telekom Malaysia, Maxis, and CelcomDigi-and examining global best practices to identify key success factors for AI adoption. The framework was validated through statistical techniques such as convergent and discriminant validity tests and Structural Equation Modelling (SEM). The results revealedthat organizational and external factors, particularly managerial support, technical capability, market uncertainty, and vendor partnerships, significantly influence AI adoption, with perceived usefulness acting as a key mediator in the adoption process.

Item Type:	Article
Uncontrolled Keywords:	Telecommunication, AI adoption
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions:	Faculty of Artificial Intelligence & Engineering (FAIE)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	12 Oct 2026 01:39
Last Modified:	12 Oct 2026 01:39
URII:	http://shdl.mmu.edu.my/id/eprint/16888

Downloads

Edit (login required)