Citation

Vallupllia, Aruna (2024) Determinants of influencing the adoption of Artificial Intelligence (AI) in small and medium enterprises (SMEs). Masters thesis, Multimedia University.

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Abstract

Artificial Intelligence (AI) has emerged as a transformative technology, revolutionizing various industries and offering unprecedented opportunities for efficiency and innovation. While large corporations have swiftly integrated AI into their operations, small and medium-sized enterprises (SMEs) often face significant challenges in adopting such advanced technologies. Despite the potential benefits, AI adoption among SMEs remains relatively low, particularly in vibrant urban centers like Kuala Lumpur. This research investigates the multifaceted factors influencing AI adoption in SMEs, focusing on organizational, technological, and environmental dimensions. Understanding these factors from the SME perspective is crucial for harnessing AI's full potential and fostering sustainable economic growth. Existing literature predominantly addresses AI adoption in large enterprises, overlooking the distinct opportunities and limitations faced by SMEs, especially in dynamic urban settings like Kuala Lumpur. The study aims to provide valuable insights for policymakers, industry stakeholders, and SME owners and managers by identifying and evaluating the critical factors that influence AI adoption decisions among SMEs. Specifically, the research seeks to identify the primary factors affecting AI adoption in Kuala Lumpur's SMEs. And to assess the impact of organizational elements, such as business size, resources, and organizational culture, on AI adoption decisions. Furthermore, to investigate how external factors such as market competitiveness, industry dynamics, and regulatory frameworks affect AI adoption methods. By achieving these objectives, the study offers recommendations and practical guidance to enhance AI utilization among SMEs in Kuala Lumpur, thereby promoting innovation, competitiveness, and sustainable development in the region.

Item Type:	Thesis (Masters)
Additional Information:	Call No.: HF5548.2 .A78 2024
Uncontrolled Keywords:	Business—Data processing. Artificial intelligence—Business applications
Subjects:	H Social Sciences > HF Commerce > HF5001-6182 Business > HF5546-5548.6 Office management
Divisions:	Faculty of Management (FOM) > MBA Programme
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	22 May 2025 03:05
Last Modified:	22 May 2025 03:05
URII:	http://shdl.mmu.edu.my/id/eprint/13797

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