Citation

Syed, Imran (2025) Influences for adoption of Artificial Intelligence in network operations for Malaysia telecommunication. Masters thesis, Multimedia University.

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Abstract

This research paper explores the adoption of artificial intelligence (AI) in Malaysia's telecommunications sector, focusing on how regional factors influence this process. Using the Technology Acceptance Model (TAM), it examines the roles of perceived usefulness (PU), perceived ease of use (PEOU), and user attitudes as mediators affecting the intention to adopt AI technologies. Data from a survey of network administrators, IT professionals, and decision-makers were analyzed using SPSS through descriptive statistics, correlation, and regression analyses. The findings indicate that positive user attitudes significantly enhance the likelihood of adopting AI. The study highlights challenges such as skill gaps and organizational readiness while providing actionable insights for stakeholders to improve adoption rates. It also serves as a methodological framework for future research in similar contexts. While the study contributes valuable knowledge to the field, its geographical focus suggests opportunities for further exploration of AI adoption across different industries and regions. Overall, it enriches the understanding of how perceptions and attitudes toward AI impact technology adoption in network operations.

Item Type:	Thesis (Masters)
Additional Information:	Call No.: HC79.T4 I47 2025
Uncontrolled Keywords:	Technological innovations—Economic aspects
Subjects:	H Social Sciences > HC Economic History and Conditions > HC79 Special Topics. Including air pollution, automation, consumer demand, famines, flow of funds, etc.
Divisions:	Faculty of Management (FOM) > MBA Programme
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	22 May 2025 09:36
Last Modified:	22 May 2025 09:36
URII:	http://shdl.mmu.edu.my/id/eprint/13821

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