Advancing knowledge through rigorous scholarship and translating research into practical solutions that transform organizations and communities.
My research bridges the gap between academic rigor and real-world application. I believe that scholarship must be both intellectually sound and practically relevant, addressing pressing challenges while contributing to theoretical advancement. Through mixed-methods approaches, interdisciplinary collaboration, and community engagement, my work seeks to generate insights that drive positive change.
Investigating critical questions at the intersection of technology, organizations, and society.
Developing frameworks for ethical AI development, algorithmic fairness, and responsible innovation. Research focuses on:
Exploring how leadership, culture, and organizational design shape performance and well-being:
Advancing inclusive practices and equitable outcomes in organizations and education:
Investigating how technological change reshapes work, workers, and workplaces:
Peer-reviewed research published in leading academic journals and books.
Presents a comprehensive framework for evaluating and implementing AI systems with attention to fairness, transparency, and accountability.
Identifies essential leadership competencies for navigating AI-driven transformation and managing human-machine collaboration.
Argues for a paradigm shift from compliance-based diversity initiatives to transformational inclusive leadership practices.
Examines psychological mechanisms linking hybrid work arrangements to employee identity, social connection, and performance outcomes.
Develops methods for detecting and addressing bias in machine learning algorithms across different application domains.
Comprehensive guide to organizational transformation grounded in systems thinking, change management theory, and practical case studies.
Ongoing investigations pushing the boundaries of knowledge.