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A fresh approach to succeeding with innovation, grounded in insights about rapidly changing customers, competitors and technologies Written by a director at the award-winning global innovation firm frog design, this vital book shows business leaders and managers how to accomplish truly effective innovation in today's disruptive climate. Richardson shows how business is filled with "X-problems"- tough new challenges that present massive innovation opportunities, but also risks. Thriving in a world of X-problems requires harnessing four specific approaches: Immersion, Convergence, Divergence, and Adaption. Combining frog design's approaches with insightful analysis of companies such as Apple, BMW, Clif Bar, Google, Maxtor, and Salesforce.com, Richardson illustrates how to envision and realize successful new business ventures, products, and services. Provides a process for translating customer insights into relevant innovations, accompanied by case studies (many of them richly described from frog's own experiences) For the first time, gives real guidance on connecting products, software and services into ecosystems that are actually compelling to customers Shows how to facilitate bringing multiple perspectives to understanding a problem domain, as well as how to manage an innovation portfolio over time Innovation X is an essential guide for companies seeking to create growth and differentiation in increasingly competitive markets.
Technology and Strategy is a comprehensive guide to creating a strategic plan that incorporates technological growth. Using real-life examples from industries from electronics to bio-technology, the authors present the tools planners need to integrate a firm's technological capabilities with its strategic plan. Importantly, the book also addresses broader questions about the role of technology, clarifying when it aids innovation, when it is evolutionary, and when it is revolutionary. These questions are tested against trends such as Total Quality Management, the resource-based view of strategy, and the increase in external acquisition of technology. Offering clear guidance through an increasingly complex area, Technology and Strategy will be a valuable reference for practising executives, general managers, strategic planners, R&D executives, and manufacturers.
Knowledge-intensive product realization implies embedded intelligence; meaning that if both theoretical and practical knowledge and understanding of a subject is integrated into the design and production processes of products, this will significantly increase added value. This book presents papers accepted for the 9th Swedish Production Symposium (SPS2020), hosted by the School of Engineering, Jönköping University, Sweden, and held online on 7 & 8 October 2020 because of restrictions due to the Corona virus pandemic. The subtitle of the conference was Knowledge Intensive Product Realization in Co-Operation for Future Sustainable Competitiveness. The book contains the 57 papers accepted for presentation at the conference, and these are divided into nine sections which reflect the topics covered: resource efficient production; flexible production; virtual production development; humans in production systems; circular production systems and maintenance; integrated product and production development; advanced and optimized components, materials and manufacturing; digitalization for smart products and services; and responsive and efficient operations and supply chains. In addition, the book presents five special sessions from the symposium: development of changeable and reconfigurable production systems; smart production system design and development; supply chain relocation; management of manufacturing digitalization; and additive manufacturing in the production system. The book will be of interest to all those working in the field of knowledge-intensive product realization.
Combines Schumpeter's theory and modern economics to give a new view of innovation in small and large firms
Can language change be modelled as an evolutionary process? Can notions like variation, selection and competition be fruitfully applied to facts of language development? The present volume ties together various strands of linguistic research which can bring us towards an answer to these questions. In one of the youngest and rapidly growing areas of linguistic research, mathematical models and simulations of competition based developments have been applied to instances of language change. By matching the predicted and observed developmental trends, researchers gauge existing models to the needs of linguistic applications and evaluate the fruitfulness of evolutionary models in linguistics. The present volume confronts these studies with more empirically-based studies in creolization and historical language change which bear on key concepts of evolutionary models. What does it mean for a linguistic construction to survive its competitors? How do the interacting factors in phases of creolization differ from those in ordinary language change, and how - consequently - might Creole languages differ structurally from older languages? Some of the authors, finally, also address the question how different aspects of our linguistic competence tie in with our more elementary cognitive capacities. The volume contains contributions by Brady Clark et al., Elly van Gelderen, Alain Kihm, Manfred Krifka, Wouter Kusters, Robert van Rooij, Anette Rosenbach, John McWhorter, Teresa Satterfield, Michael Tomasello and Elizabeth C. Traugott. The book brings together contributions from two areas of research: the study of language evolution by means of methods from artifical intelligence/artificial life (like computer simulations and analytic mathematical methods) on the one hand, and empirically oriented research from historical linguistics and creolisation studies that uses concepts from evolutionary theory as a heuristic tool in a qualitative way. The book is thus interesting for readers from both traditions because it supplies them with information about relevant ongoing research and useful methods and data from the other camp.
Insurgence is designed to help business leaders apply new methods to the most important business problem they face in the world today: namely, how to overcome their incumbent mentality to maintain relevance and discover new sources of growth. At the convergence of lean, business model innovation, agile, and design thinking, insurgence is a methodology and business philosophy that will help leaders in incumbent businesses rediscover how to operate like small and nimble insurgents whilst maintaining many of their incumbent advantages. Incumbent businesses, often having enjoyed a long period of relative historical market stability, are increasingly unprepared for nimble insurgents coming on to the field of play and applying different assumptions and business models at speed and scale. These incumbent businesses find that the business models that fuelled their success are no longer robust to the change surrounding their business, and they are becoming increasingly obsolete, weighed down by a high degree of internal focus, inflexible internal controls, and an inability to innovate. Meanwhile, nimble insurgents strike at the heart of these weaknesses by formulating alternative core assumptions, building adaptive business models, and innovating in close proximity to customers and market needs. This book enables business leaders to characterise the difference between incumbents and insurgents, develop new ways of thinking about how to compete in this age of accelerating change, and provide a new framework for strategy and innovation that helps leaders to discover the essence of insurgence for their businesses. It uses rich case studies that illustrate both successful and unsuccessful efforts to help leaders move from theory to action at speed and at scale.
This book offers a comprehensive study of regional industrialization in Europe and Asia from the early nineteenth century to the present. Using case studies on regional industrialization, the book provides insights into similarities and differences in industrialization processes between European, Eurasian and Asian countries. Important factors include the transition from traditional to modern industrial production, industrial policy, agglomeration forces, market integration, and the determinants of industrial location over time. The book is an invaluable reference that attempts to bridge the fields of economic history, political history, economic geography, and economics while contributing to the debates on economic divergence between Europe and Asia as well as on the role of economic integration and globalization.
We are proud to introduce the proceedings of the Sixth International Conference on Parallel Problem Solving from Nature, PPSN VI, held in Paris, Prance, on 18-20 September 2000. PPSN VI was organized in association with the Genetic and Evolutionary Computing Conference (GECCO'2000) and the Congress on Evolutionary Computation (CEC'2000), reflecting the beneficial interaction between the conference activities in Europe and in the USA in the field of natural computation. Starting in 1990 in Dortmund, Germany (Proceedings, LNCS vol. 496, Sprin ger, 1991), this biannual meeting has been held in Brussels, Belgium (Procee dings, Elsevier, 1992), Jerusalem, Israel (Proceedings, LNCS vol. 866, Springer, 1994), Berlin, Germany (Proceedings, LNCS vol. 1141, Springer, 1996), and Amsterdam, The Netherlands (Proceedings, LNCS vol. 1498, Springer, 1998), where it was decided that Paris would be the location of the 2000 conference with Marc Schoenauer as the general chair. The scientific content of the PPSN conference focuses on problem solving pa radigms gleaned from a natural models. Characteristic for Natural Computing is the metaphorical use of concepts, principles and mechanisms underlying natural systems, such as evolutionary processes involving mutation, recombination, and selection in natural evolution, annealing or punctuated equilibrium processes of many-particle systems in physics, growth processes in nature and economics, collective intelligence in biology, DNA-based computing in molecular chemistry, and multi-cellular behavioral processes in neural and immune networks.
What things count as individuals, and how do we individuate them? It is a classic philosophical question often tackled from the perspective of analytic metaphysics. This volume proposes that there is another channel by which to approach individuation -- from that of scientific practices. From this perspective, the question then becomes: How do scientists individuate things and, therefore, count them as individuals? This volume collects the work of philosophers of science to engage with this central philosophical conundrum from a new angle, highlighting the crucial topic of experimental individuation and building upon recent, pioneering work in the philosophy of science. An introductory chapter foregrounds the problem of individuation, arguing it should be considered prior to the topic of individuality. The following chapters address individuation and individuality from a variety of perspectives, with prominent themes being the importance of experimentation, individuation as a process, and pluralism in individuation's criteria. Contributions examine individuation in a wide range of sciences, including stem cell biology, particle physics, and community ecology. Other chapters examine the metaphysics of individuation, its bearing on realism/antirealism debates, and interrogate epistemic aspects of individuation in scientific practice. In exploring individuation from the philosophy of biology, physics, and other scientific subjects, this volume ultimately argues for the possibility of several criteria of individuation, upending the tenets of traditional metaphysics. It provides insights for philosophers of science, but also for scientists interested in the conceptual foundations of their work.