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About Karim R. Lakhani
Karim R. Lakhani is the Charles E. Wilson Professor of Business Administration and the Dorothy and Michael Hintze Fellow at the Harvard Business School. He specializes in technology management, innovation, digital transformation and artificial intelligence (AI). His innovation-related research is centered around his role as the founder and co-director of the Laboratory for Innovation Science at Harvard and as the principal investigator of the NASA Tournament Laboratory. Karim is known for his original scholarship on open source communities and innovation contests and has pioneered the use of field experiments to help solve innovation-related challenges while simultaneously generating rigorous research in partnership with organizations like NASA, Harvard Medical School, The Broad Institute, TopCoder, The Linux Foundation and various private organizations. His digital transformation research investigates the role of analytics and artificial intelligence (AI) in reshaping business and operating models. This research is complemented through his leadership as co-founder of the Harvard Business School Digital Initiative and as co-founder and co-chair of the Harvard Business Analytics Program, a university-wide online program transforming for mid-career executives into data-savvy leaders.
Karim has published over 150 peer-reviewed papers in leading management, economics and natural science journals, executive-oriented articles in Harvard Business Review and MIT Sloan Management Review, and Harvard Business School case studies. He is the co-editor of two books from MIT Press on open and distributed innovation models including Revolutionizing Innovation: Users, Communities and Open Innovation (2016) and Perspectives on Free and Open Source Software (2005). He is the co-author of Competing in the Age of AI (2020) a book published by the Harvard Business Review Press. His research has been featured in BusinessWeek, The Boston Globe, The Economist, Fast Company, Inc., MarketWatch, The New York Times, National Public Radio, Science, The Wall Street Journal, The Washington Post, WBUR, WGBH, and Wired.
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"a provocative new book" — The New York Times
AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value.
Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning—to drive ever more accurate, complex, and sophisticated predictions.
When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani:
- Present a framework for rethinking business and operating models
- Explain how "collisions" between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models
- Explain the opportunities and risks created by digital firms
- Describe the new challenges and responsibilities for the leaders of both digital and traditional firms
Packed with examples—including many from the most powerful and innovative global, AI-driven competitors—and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI.
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The last two decades have witnessed an extraordinary growth of new models of managing and organizing the innovation process that emphasizes users over producers. Large parts of the knowledge economy now routinely rely on users, communities, and open innovation approaches to solve important technological and organizational problems. This view of innovation, pioneered by the economist Eric von Hippel, counters the dominant paradigm, which cast the profit-seeking incentives of firms as the main driver of technical change. In a series of influential writings, von Hippel and colleagues found empirical evidence that flatly contradicted the producer-centered model of innovation. Since then, the study of user-driven innovation has continued and expanded, with further empirical exploration of a distributed model of innovation that includes communities and platforms in a variety of contexts and with the development of theory to explain the economic underpinnings of this still emerging paradigm. This volume provides a comprehensive and multidisciplinary view of the field of user and open innovation, reflecting advances in the field over the last several decades.
The contributors—including many colleagues of Eric von Hippel—offer both theoretical and empirical perspectives from such diverse fields as economics, the history of science and technology, law, management, and policy. The empirical contexts for their studies range from household goods to financial services. After discussing the fundamentals of user innovation, the contributors cover communities and innovation; legal aspects of user and community innovation; new roles for user innovators; user interactions with firms; and user innovation in practice, describing experiments, toolkits, and crowdsourcing, and crowdfunding.
Efe Aksuyek, Yochai Benkler, James Bessen, Jörn H. Block, Annika Bock, Helena Canhão, Jeroen P. J. de Jong, Emmanuelle Fauchart, Dominique Foray, Nikolaus Franke, Johann Füller, Helena Garriga, Fred Gault, Fredrik Hacklin, Dietmar Harhoff, Joachim Henkel, Cornelius Herstatt, Christoph Hienerth, Venkat Kuppuswamy, Karim R. Lakhani, Christopher Lettl, Christian Lüthje, Ethan Mollick, Hidehiko Nishikawa, Alessandro Nuvolari, Susumu Ogawa, Pedro Oliveira, Stefan Perkmann Berger, Frank Piller, Christina Raasch, Susanne Roiser, Fabrizio Salvador, Pamela Samuelson, Tim Schweisfurth, Sonali K. Shah, Christoph Stockstrom, Katherine J. Strandburg, Stefan Thomke, Andrew W. Torrance, Mary Tripsas, Georg von Krogh
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