Special Session 3: Artificial Intelligence and Transformational Leadership: Advancing Innovation, Decision-Making, and Organizational Performance in the Digital Era


 

Organiser


Dr. Mitra Madanchian is an Associate Professor at University Canada West, Canada, specializing in business management, leadership, and artificial intelligence in business. With over 18 years of academic and industry experience, she has published more than 110 peer-reviewed papers and numerous books and book chapters with leading international publishers. Her research focuses on AI adoption, digital transformation, technology-driven leadership, and organizational performance. She is the recipient of the 2026 Leadership in Teaching and Learning Award.

 


Submission Link (Enter the submission system and select Special Session 3: Artificial Intelligence and Transformational Leadership: Advancing Innovation, Decision-Making, and Organizational Performance in the Digital Era )

Introduction

The rapid advancement of Artificial Intelligence (AI) is fundamentally transforming organizational structures, leadership practices, strategic decision-making, and innovation processes in the digital era. As organizations increasingly integrate AI-driven technologies, including machine learning, generative AI, predictive analytics, and intelligent automation, transformational leadership has emerged as a critical factor in fostering digital transformation, organizational adaptability, and sustainable competitive advantage. Transformational leaders play a vital role in promoting innovation-oriented cultures, facilitating technology adoption, empowering employees, and aligning AI capabilities with organizational strategies and objectives. The convergence of AI and transformational leadership presents significant opportunities to enhance managerial decision-making, optimize organizational processes, stimulate creativity, and improve overall organizational performance. However, these advancements also introduce challenges associated with ethical AI governance, algorithmic transparency, workforce transformation, digital competencies, and human–AI collaboration. Understanding the interplay between AI capabilities and transformational leadership is therefore essential for developing resilient, innovative, and high-performing organizations. This special session aims to provide an interdisciplinary platform for researchers, academicians, industry professionals, and policymakers to explore emerging theoretical perspectives, empirical findings, and practical applications at the intersection of artificial intelligence, transformational leadership, innovation, and organizational performance. The session encourages innovative research examining how leadership strategies and AI-enabled capabilities can collectively drive responsible digital transformation, strengthen organizational effectiveness, and create sustainable value in an increasingly complex and technology-driven business environment.

Related topics for this special session (but not limited to) :

• Artificial Intelligence and transformational leadership in the digital era
• AI-driven digital transformation and organizational change management
• The role of transformational leadership in AI adoption and implementation
• AI-enabled strategic decision-making and managerial effectiveness
• Generative AI and its implications for leadership and organizational innovation
• Human–AI collaboration and augmented leadership intelligence
• AI-driven business model innovation and organizational competitiveness
• Transformational leadership, creativity, and innovation management
• AI capabilities, dynamic capabilities, and organizational performance
• Data-driven leadership and evidence-based managerial decision-making
• Ethical leadership, responsible AI adoption, and algorithmic governance
• AI transparency, explainability, accountability, and organizational trust
• Leadership strategies for managing AI-driven workforce transformation
• AI-enabled human resource management and employee performance
• Digital leadership competencies and organizational AI readiness
• Transformational leadership and employee engagement in AI-enabled workplaces
• AI-driven knowledge management, organizational learning, and knowledge sharing
• Organizational culture, digital agility, and technological innovation
• The role of AI in organizational resilience, sustainability, and long-term performance
• AI-powered predictive analytics and strategic organizational planning
• Leadership challenges and opportunities in human-centered AI implementation
• AI adoption barriers, technological resistance, and organizational adaptability
• AI-enabled innovation ecosystems and cross-functional collaboration
• Transformational leadership and AI integration in small and medium-sized enterprises (SMEs)
• AI, transformational leadership, and sustainable organizational development
• Emerging theoretical frameworks and empirical models linking AI, leadership, innovation, and organizational performance