Kerimcan Ozcan, Venkat Ramaswamy

Broschiertes Buch

Dynamic Relationality Theory of Creative Transformation

Grounding Machinic Ecosystems in Life Experiences

Beschreibung

Dynamic Relationality Theory of Creative Transformation: Grounding Machinic Ecosystems in Life Experiences introduces a visionary approach to understanding the evolving relationship between technology and human experiences. It delves into the transformative potential of Machinic Generalized Intelligence (MGI), where AI and human intelligence converge harmoniously, creating a new paradigm of interactive, machinic life experiences. This book challenges the traditional tech-centric view, advocating for a life and experience-first perspective. It presents the Dynamic Relationality Theory (DRT), a novel conceptual framework that redefines our interaction with technology, emphasizing cocreative, emergent experiences over mere digital platformization. Through an interdisciplinary approach combining philosophical insights and social theories with practical applications, this book navigates the complexities of digitalized life ecosystems, employing concepts and tools from assemblage theory, category theory, sheaf theory, differential topology, and gauge theory. For readers grappling with the complexities of AI and its societal implications, this book offers clarity and direction. It provides a robust theoretical framework to understand the changing landscape of human-technology interaction. Furthermore, it integrates philosophical insights and ethical considerations into the discussion of AI and technology, providing a well-rounded perspective that aids in ethical decision-making and responsible innovation. It also delves into practical applications and future implications of AI, aiding readers in applying these concepts in real-world scenarios. By moving beyond a purely technological focus, this book equips readers with the insights needed to navigate the ethical, philosophical, and practical challenges posed by the integration of AI into daily life. A crucial resource for academics, professionals, and policymakers, this book serves as a guide to making informed decisions and fostering responsible innovation in the age of AI.

Autor

Dr. Kerimcan Ozcan is an 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. His current work emphasizes the fusion of human-AI interactions and their transformative impact on organizational and societal systems. This research highlights how the dynamic relationalities of machinic ecosystems and life-experiences coalesce into strategic organizational transformations, helping organizations navigate their evolving ecosystems. Forthcoming contributions extend the current work into real-world applications, with projects that bridge theoretical advancements with hands-on strategies for organizational growth, including strategic engagement with AI, co-innovation platforms, and ecosystem-based value creation. Dr. Ozcan's prior scholarly work includes The Co-Creation Paradigm co-authored with Dr. Ramaswamy, published by Stanford University Press, along with contributions to Journal of Marketing, Journal of Business Research, International Journal of Research in Marketing, and Harvard Business Review. Previously, he taught at several other universities (including University of Michigan and International University of Japan) and held engineering roles in various industries. His research has garnered support from entities such as Japanese Ministry of Education, Science, and Technology, and the University of Michigan Tauber Manufacturing Institute. Dr. Ozcan received a Ph.D. in Marketing and an M.A. in Applied Economics from the University of Michigan (Ann Arbor), an M.S. in Management from Georgia Institute of Technology, and a B.S. in Electrical and Electronics Engineering from Böaziçi University.

Produktdetails

• Verlag: Elsevier Science
• Seitenzahl: 260
• Erscheinungstermin: 15. November 2024
• Englisch
• Abmessung: 236mm x 188mm x 23mm
• Gewicht: 776g
• ISBN-13: 9780443301599
• ISBN-10: 044330159X
• Artikelnr.: 70071607