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A research program spanning five books across four publishers.

The Dynamic Relationality Theory Trilogy

The DRT trilogy develops a new theoretical architecture for the age of AI and organizational transformation. Across three volumes, it moves from foundational theory — what dynamic relational systems are — to organizational practice — how they can be transformed — to governance — what must be in place for AI-infused ecosystems to be genuinely intelligent rather than merely automated. The three books are designed to be read as a cumulative architecture, each volume building on the one before.

Dynamic Relationality Theory of Creative Transformation

Kerimcan Ozcan and Venkat Ramaswamy
Elsevier, 2024

The foundational volume. Argues that organizations and AI systems should be understood as dynamic relational assemblages — whose identities, capabilities, and futures emerge through continuous processes of interaction and transformation — rather than as fixed structures with static properties. Introduces Dynamic Relationality Theory as the ontological and conceptual foundation for the two subsequent volumes.

Trilogy role: Relational ontology and foundational theory.

Creative Transformation of Organizational Ecosystems

Kerimcan Ozcan and Venkat Ramaswamy
De Gruyter, 2025

The methodological volume. Translates Dynamic Relationality Theory into organizational practice — tools, blueprints, and design methods for transforming organizations into adaptive co-intelligent ecosystems where human agency and AI capabilities continuously shape one another. Provides the transformation grammar for leaders, researchers, consultants, and system architects working in complex organizational environments.

Trilogy role: Organizational transformation grammar and intervention architecture.

Machinic Life-Experience Ecosystems

Kerimcan Ozcan and Venkat Ramaswamy
Springer Nature, 2027

The governance volume. Asks what must be in place before an AI-infused organization can legitimately be said to have become more intelligent — not just more automated. Develops the standards, evidence, accountability, contestability, and repair frameworks that make AI transformation governable. Introduces the REAL governance framework and the MLXE Operating System as practical tools for organizations navigating complex AI-era transformation.

Trilogy role: Standards, evidence, governance, and repair layer for co-intelligence.


The Co-Creation Research Program

In parallel with the DRT trilogy, a second research program — developed with Venkat Ramaswamy and Krishnan Narayanan — examines how humans and AI systems co-create intelligence and value. This stream runs from the foundational argument for co-creation as a strategic paradigm to its translation into the AI era of co-intelligent organizations.

The Co-Creation Paradigm

Venkat Ramaswamy and Kerimcan Ozcan
Stanford University Press, 2014

The foundational text. Argues that value is created through active engagement between organizations and their stakeholders — not delivered by firms to passive consumers. Introduces the DART framework (Dialogue, Access, Reflexivity, Transparency) and the concept of engagement platforms, establishing co-creation as a strategic paradigm rather than a customer service initiative.

Co-Creating the Future with AI

Venkat Ramaswamy, Kerimcan Ozcan, and Krishnan Narayanan
Palgrave Macmillan, 2026

Translates the co-creation paradigm into the AI era. Introduces COIN — Co-Intelligent Organizational Networks — and shows how human-AI co-creation is transforming how organizations generate value, structure innovation, and build relationships with customers, partners, and ecosystems. Includes case studies from OpenAI, L’Oréal, SAP, Siemens, JPMorgan Chase, Tesla, and others.

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