Researcher, author, and advisor on AI transformation governance.
Dr. Kerimcan Ozcan is the founder of KOZCAN Advisory, an evidence-bounded advisory practice for consequential AI transformation, and Associate Professor of Marketing with tenure at Marywood University’s School of Business and Global Innovation. His work sits at the intersection of computational systems, complex organizational dynamics, strategy, co-creation, and AI governance.
His engagement with computational systems spans more than three decades—from control-system simulation, expert systems, neural-network inquiry, and agent-based network modeling to research on digital interaction, co-creation, organizational transformation, and today’s AI-mediated organizational systems. This continuity does not make KOZCAN Advisory System a substitute for contemporary AI engineering or other specialist disciplines; it explains the systems-and-computation trajectory from which the present governance work emerged.
KOZCAN Advisory System addresses a narrower problem than AI strategy or implementation: what leadership may responsibly conclude and rely upon when AI capability becomes organizationally consequential. The practice complements—not replaces—technical, legal, security, risk, clinical, regulatory, and assurance specialists.
The Dynamic Relationality Theory trilogy comprises Dynamic Relationality Theory of Creative Transformation (Elsevier, 2024), Creative Transformation of Organizational Ecosystems (De Gruyter, 2025), and Machinic Life-Experience Ecosystems (Springer Nature, 2027). He is co-author, with Venkat Ramaswamy, of The Co-Creation Paradigm (Stanford University Press, 2014), and co-author, with Venkat Ramaswamy and Krishnan Narayanan, of Co-Creating the Future with AI (Palgrave Macmillan, 2026). He is a COIN Network Fellow at the Centre for Responsible AI (CeRAI), Wadhwani School of Data Science and AI, IIT Madras — an inaugural cohort of leaders convened to advance co-intelligence for real-world impact.
Scholarly articles and chapters have appeared in the Journal of Marketing, Harvard Business Review, Journal of Business Research, International Journal of Research in Marketing, and edited research handbooks.
Dr. Ozcan earned a B.S. in Electrical and Electronics Engineering from Boğaziçi University, an M.S. in Management from Georgia Tech, and a Ph.D. in Marketing and M.A. in Applied Economics from the University of Michigan. His 2004 doctoral dissertation used agent-based modeling to study innovation diffusion dynamics across complex consumer networks with different topologies. Earlier computational work included an undergraduate thesis using computer simulation for system control, graduate study of expert systems, and independent study of neural networks in marketing. He entered academia after working in engineering and later held academic appointments including the University of Michigan and the International University of Japan.
Research and practice status
The research foundation behind KOZCAN Advisory System is externally published and peer reviewed in multiple forms. The current KOZCAN advisory architecture is a newer practitioner translation of that research, developed through controlled method construction and synthetic rehearsal. Synthetic rehearsal is not presented as independent empirical validation or as evidence of client outcomes.
See Method Control & Evidence Status →
Prior executive education and advisory experience
Before the current KOZCAN advisory architecture, Dr. Ozcan delivered executive education, workshops, presentations, and advisory/consulting work for corporate and institutional audiences internationally. Those earlier engagements are part of his professional experience and are not presented as validation of the current KOZCAN Advisory System method.
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