Farzana Parveen Tajudeen is Associate Professor at Universiti Malaya, Malaysia, specialising in digital technologies, including AI, and their impact on business practices and workplace outcomes. Her work emphasises advancing effective digital transformation in organisations.Devika Nadarajah is Associate Professor and Director of Research Programmes at Putra Business School. She specialises in supply chain management, with more than 10 years of industry experience in process improvement and organisational transformation.Rani Angammah Sithambaram is an HRIS Lead with more than 10 years of global experience. She specialises in applying artificial intelligence in business, bridging HR and technology, and delivering practical insights on digital transformation, analytics, and organisational innovation in Malaysia.Simon Karl Hubert Backhaus is Director of IRnow, specialising in artificial intelligence-supported vision and data analytics systems for the manufacturing industry.

• List of FiguresList of TablesPrefaceChapter 1: The AI Revolution -Introduction -The AI Developmental Journey -Phases of AI -Organisational Perspective -AI in Malaysia -Development in Academic AI Research -SummaryChapter 2: AI in Finance and Accounting -Introduction -AI in Finance and Accounting: The Malaysian Context -Use of AI in Finance and Accounting -Impact of AI in Finance and Accounting -Challenges of Using AI in Finance and Accounting -AI Challenges in Accounting and Finance: The Malaysian Context -AI Research in Accounting and Finance -Case Study -SummaryChapter 3: AI in Customer Engagement and Branding -Introduction -AI in Customer Engagement in Malaysia -Use of AI in Customer Engagement Activities -Positive Impacts of AI in Customer Relationship Management -AI in Customer Engagement and Branding: Challenges and Solutions in Malaysia -AI Research in in Accounting and Finance -Case Study -SummaryChapter 4: AI in Human Resource Management -Introduction -AI in Malaysian Human Resource Management -Use of AI in Human Resource Management -Impact of AI in Human Resource Management -Challenges Using AI in Human Resource Management -AI Research in Human Resource Management in Malaysia -Case Study -SummaryChapter 5: AI in Production and Supply Chain -Introduction -AI Across Malaysia's Manufacturing Chain: Production, Supply Chain, and R&D -Use of AI in Production and Supply Chain -Impact of AI in Production and Supply Chain -Dark Factories and AI -Challenges in Using AI in the Production and Supply Chain -Software and Selection Process -AI Research in Malaysia's Production and Supply Chain -Case Study -SummaryChapter 6: Moving AI Towards the Right Path: Ethics and Regulatory Frameworks -Introduction -Dominant Challenges of Implementing AI in Businesses: A Recap -Ethics: A Major Concern for AI Implementation -Is AI A Complex Maze for Malaysia? -AI Regulatory Framework -SummaryFurther ReadingIndex

Farzana Parveen Tajudeen is Associate Professor at Universiti Malaya, Malaysia, specialising in digital technologies, including AI, and their impact on business practices and workplace outcomes. Her work emphasises advancing effective digital transformation in organisations.Devika Nadarajah is Associate Professor and Director of Research Programmes at Putra Business School. She specialises in supply chain management, with more than 10 years of industry experience in process improvement and organisational transformation.Rani Angammah Sithambaram is an HRIS Lead with more than 10 years of global experience. She specialises in applying artificial intelligence in business, bridging HR and technology, and delivering practical insights on digital transformation, analytics, and organisational innovation in Malaysia.Simon Karl Hubert Backhaus is Director of IRnow, specialising in artificial intelligence-supported vision and data analytics systems for the manufacturing industry.

• List of FiguresList of TablesPrefaceChapter 1: The AI Revolution -Introduction -The AI Developmental Journey -Phases of AI -Organisational Perspective -AI in Malaysia -Development in Academic AI Research -SummaryChapter 2: AI in Finance and Accounting -Introduction -AI in Finance and Accounting: The Malaysian Context -Use of AI in Finance and Accounting -Impact of AI in Finance and Accounting -Challenges of Using AI in Finance and Accounting -AI Challenges in Accounting and Finance: The Malaysian Context -AI Research in Accounting and Finance -Case Study -SummaryChapter 3: AI in Customer Engagement and Branding -Introduction -AI in Customer Engagement in Malaysia -Use of AI in Customer Engagement Activities -Positive Impacts of AI in Customer Relationship Management -AI in Customer Engagement and Branding: Challenges and Solutions in Malaysia -AI Research in in Accounting and Finance -Case Study -SummaryChapter 4: AI in Human Resource Management -Introduction -AI in Malaysian Human Resource Management -Use of AI in Human Resource Management -Impact of AI in Human Resource Management -Challenges Using AI in Human Resource Management -AI Research in Human Resource Management in Malaysia -Case Study -SummaryChapter 5: AI in Production and Supply Chain -Introduction -AI Across Malaysia's Manufacturing Chain: Production, Supply Chain, and R&D -Use of AI in Production and Supply Chain -Impact of AI in Production and Supply Chain -Dark Factories and AI -Challenges in Using AI in the Production and Supply Chain -Software and Selection Process -AI Research in Malaysia's Production and Supply Chain -Case Study -SummaryChapter 6: Moving AI Towards the Right Path: Ethics and Regulatory Frameworks -Introduction -Dominant Challenges of Implementing AI in Businesses: A Recap -Ethics: A Major Concern for AI Implementation -Is AI A Complex Maze for Malaysia? -AI Regulatory Framework -SummaryFurther ReadingIndex

Farzana Parveen Tajudeen is Associate Professor at Universiti Malaya, Malaysia, specialising in digital technologies, including AI, and their impact on business practices and workplace outcomes. Her work emphasises advancing effective digital transformation in organisations.Devika Nadarajah is Associate Professor and Director of Research Programmes at Putra Business School. She specialises in supply chain management, with more than 10 years of industry experience in process improvement and organisational transformation.Rani Angammah Sithambaram is an HRIS Lead with more than 10 years of global experience. She specialises in applying artificial intelligence in business, bridging HR and technology, and delivering practical insights on digital transformation, analytics, and organisational innovation in Malaysia.Simon Karl Hubert Backhaus is Director of IRnow, specialising in artificial intelligence-supported vision and data analytics systems for the manufacturing industry.

• List of FiguresList of TablesPrefaceChapter 1: The AI Revolution -Introduction -The AI Developmental Journey -Phases of AI -Organisational Perspective -AI in Malaysia -Development in Academic AI Research -SummaryChapter 2: AI in Finance and Accounting -Introduction -AI in Finance and Accounting: The Malaysian Context -Use of AI in Finance and Accounting -Impact of AI in Finance and Accounting -Challenges of Using AI in Finance and Accounting -AI Challenges in Accounting and Finance: The Malaysian Context -AI Research in Accounting and Finance -Case Study -SummaryChapter 3: AI in Customer Engagement and Branding -Introduction -AI in Customer Engagement in Malaysia -Use of AI in Customer Engagement Activities -Positive Impacts of AI in Customer Relationship Management -AI in Customer Engagement and Branding: Challenges and Solutions in Malaysia -AI Research in in Accounting and Finance -Case Study -SummaryChapter 4: AI in Human Resource Management -Introduction -AI in Malaysian Human Resource Management -Use of AI in Human Resource Management -Impact of AI in Human Resource Management -Challenges Using AI in Human Resource Management -AI Research in Human Resource Management in Malaysia -Case Study -SummaryChapter 5: AI in Production and Supply Chain -Introduction -AI Across Malaysia's Manufacturing Chain: Production, Supply Chain, and R&D -Use of AI in Production and Supply Chain -Impact of AI in Production and Supply Chain -Dark Factories and AI -Challenges in Using AI in the Production and Supply Chain -Software and Selection Process -AI Research in Malaysia's Production and Supply Chain -Case Study -SummaryChapter 6: Moving AI Towards the Right Path: Ethics and Regulatory Frameworks -Introduction -Dominant Challenges of Implementing AI in Businesses: A Recap -Ethics: A Major Concern for AI Implementation -Is AI A Complex Maze for Malaysia? -AI Regulatory Framework -SummaryFurther ReadingIndex