This book delves into the fusion of human experiences with artificial intelligence (AI), offering a profound understanding of Machinic Life Experience Ecosystems (MLXEs) as lived, value-producing relational worlds that drive organizational meaning and transformation. It serves as an accessible, application-oriented exploration of Dynamic Relationality Theory (DRT), addressing the complexities and transformative potential of MLXEs in various sectors.
The first part of this volume provides a comprehensive examination of MLXEs, highlighting how ethics and innovation are infrastructurally coupled in co-intelligent architectures that sustain real-world transformation. The second introduces innovative tools like assemblage theory, category theory, sheaf theory, and gauge theory, which are progressively layered into a stackable modeling architecture that link micro-experiential dynamics to macro-organizational orchestration. The final part presents a generative design framework for leveraging these theories in organizational contexts. It shows how transformation is enacted not only through models but also through interactional design processes between practitioners and modelers, and it emphasizes strategies for innovation, adaptation, and strategic growth through systemic, recursive transformation.
Aiming to demystify complex theoretical concepts, each chapter offers a unique blend of theory and practice, making this book immediately useful for a wide range of audiences, including graduate students, policymakers, and consultants.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Dr. Kerimcan Ozcan holds a tenured position as Associate Professor of Marketing at the School of Business and Global Innovation, Marywood University, USA. His expertise encompasses co-creation, interactive platforms, digitalization, strategy, and various facets of marketing such as branding, customer service, and industrial/B2B marketing.
Dr. Venkat Ramaswamy serves as Professor of Marketing at the Ross School of Business, University of Michigan, Ann Arbor, USA, contributing to innovation, strategy, marketing, branding, IT, operations, and organizational behavior. His scholarly work and practical implementation of ideas have earned him global recognition.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Buch. Etat : Neu. Neuware -This book delves into the fusion of human experiences with artificial intelligence (AI), offering a profound understanding of Machinic Life Experience Ecosystems (MLXEs) as lived, value-producing relational worlds that drive organizational meaning and transformation. It serves as an accessible, application-oriented exploration of Dynamic Relationality Theory (DRT), addressing the complexities and transformative potential of MLXEs in various sectors.The first part of this volume provides a comprehensive examination of MLXEs, highlighting how ethics and innovation are infrastructurally coupled in co-intelligent architectures that sustain real-world transformation. The second introduces innovative tools like assemblage theory, category theory, sheaf theory, and gauge theory, which are progressively layered into a stackable modeling architecture that link micro-experiential dynamics to macro-organizational orchestration. The final part presents a generative design framework for leveraging these theories in organizational contexts. It shows how transformation is enacted not only through models but also through interactional design processes between practitioners and modelers, and it emphasizes strategies for innovation, adaptation, and strategic growth through systemic, recursive transformation.Aiming to demystify complex theoretical concepts, each chapter offers a unique blend of theory and practice, making this book immediately useful for a wide range of audiences, including graduate students, policymakers, and consultants. 611 pp. Englisch. N° de réf. du vendeur 9783111446554
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Buch. Etat : Neu. Neuware -This book delves into the fusion of human experiences with artificial intelligence (AI), offering a profound understanding of Machinic Life Experience Ecosystems (MLXEs) as lived, value-producing relational worlds that drive organizational meaning and transformation. It serves as an accessible, application-oriented exploration of Dynamic Relationality Theory (DRT), addressing the complexities and transformative potential of MLXEs in various sectors.The first part of this volume provides a comprehensive examination of MLXEs, highlighting how ethics and innovation are infrastructurally coupled in co-intelligent architectures that sustain real-world transformation. The second introduces innovative tools like assemblage theory, category theory, sheaf theory, and gauge theory, which are progressively layered into a stackable modeling architecture that link micro-experiential dynamics to macro-organizational orchestration. The final part presents a generative design framework for leveraging these theories in organizational contexts. It shows how transformation is enacted not only through models but also through interactional design processes between practitioners and modelers, and it emphasizes strategies for innovation, adaptation, and strategic growth through systemic, recursive transformation.Aiming to demystify complex theoretical concepts, each chapter offers a unique blend of theory and practice, making this book immediately useful for a wide range of audiences, including graduate students, policymakers, and consultants. 611 pp. Englisch. N° de réf. du vendeur 9783111446554
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Buch. Etat : Neu. Neuware -This book delves into the fusion of human experiences with artificial intelligence (AI), offering a profound understanding of Machinic Life Experience Ecosystems (MLXEs). It serves as an accessible, application-oriented exploration of Dynamic Relationality Theory (DRT), addressing the complexities and transformative potential of MLXEs in various sectors. N° de réf. du vendeur 9783111446554
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