Información del autor
Autor Andreas Pyka |
Documentos disponibles escritos por este autor (3)
Refinar búsquedaLong Term Economic Development / SpringerLink (Online service) ; Andreas Pyka ; Esben Sloth Andersen (2013)
Título : Long Term Economic Development : Demand, Finance, Organization, Policy and Innovation in a Schumpeterian Perspective Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Andreas Pyka ; Esben Sloth Andersen Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2013 Otro editor: Imprint: Springer Colección: Economic Complexity and Evolution Número de páginas: VI, 483 p Il.: online resource ISBN/ISSN/DL: 978-3-642-35125-9 Idioma : Inglés (eng) Palabras clave: Management Industrial management Evolutionary economics organization Economic policy growth Economics Growth Institutional/Evolutionary Innovation/Technology Organization R & D/Technology Policy Clasificación: 658 Empresas. Organización de empresas Resumen: The book gives an overview of important research topics recently addressed in evolutionary Neo-Schumpeterian Economics. The list of research questions and applications of Neo-Schumpeterian reasoning impressively demonstrates the rich possibilities ranging from theoretical issues addressing human behaviour to applied areas like the emergence of biotechnology in developing countries, the role of innovation on financial markets and the R&D strategies of multinational enterprises. The chapters in this book bring together a rich set of new analytical and empirical methodologies which allow for new relevant and rigorous insights in innovation processes which are responsible for economic development and structural change Nota de contenido: Introduction -- Schumpeter's Core Works Revisited -- Back to Engel?- Technological Regimes and Demand Structure in the Evolution of the Pharmaceutical Industry -- Innovation and Demand in Industry Dynamics -- Production and Financial Linkages in Inter-Firm Networks -- Does History Matter?- Innovation, Real primary Commodity Prices and Business Cycles -- Knowledge Flows in High-Tech Industry Clusters -- The International Diffusion of Biotechnology -- The Internet as a Global Production Reorganizer -- Looking Around: the Smart Way of Italian SMEs to Innovate -- Strategic Fit Between Regional Innovation Policy and Regional Innovation Systems -- Schumpeterian Patterns of Innovation and the Sources of Breakthrough Inventions -- R&D, Patents and Stock Return Volatility -- On Profit Differentials Between Persistent and Occasional Innovators -- Financial Factors and Patents -- Building Systems -- What Causes Creative Destruction?- Markets and Organizations -- Financial System and Technological Catching-Up En línea: http://dx.doi.org/10.1007/978-3-642-35125-9 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=36568 Long Term Economic Development : Demand, Finance, Organization, Policy and Innovation in a Schumpeterian Perspective [documento electrónico] / SpringerLink (Online service) ; Andreas Pyka ; Esben Sloth Andersen . - Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013 . - VI, 483 p : online resource. - (Economic Complexity and Evolution) .
ISBN : 978-3-642-35125-9
Idioma : Inglés (eng)
Palabras clave: Management Industrial management Evolutionary economics organization Economic policy growth Economics Growth Institutional/Evolutionary Innovation/Technology Organization R & D/Technology Policy Clasificación: 658 Empresas. Organización de empresas Resumen: The book gives an overview of important research topics recently addressed in evolutionary Neo-Schumpeterian Economics. The list of research questions and applications of Neo-Schumpeterian reasoning impressively demonstrates the rich possibilities ranging from theoretical issues addressing human behaviour to applied areas like the emergence of biotechnology in developing countries, the role of innovation on financial markets and the R&D strategies of multinational enterprises. The chapters in this book bring together a rich set of new analytical and empirical methodologies which allow for new relevant and rigorous insights in innovation processes which are responsible for economic development and structural change Nota de contenido: Introduction -- Schumpeter's Core Works Revisited -- Back to Engel?- Technological Regimes and Demand Structure in the Evolution of the Pharmaceutical Industry -- Innovation and Demand in Industry Dynamics -- Production and Financial Linkages in Inter-Firm Networks -- Does History Matter?- Innovation, Real primary Commodity Prices and Business Cycles -- Knowledge Flows in High-Tech Industry Clusters -- The International Diffusion of Biotechnology -- The Internet as a Global Production Reorganizer -- Looking Around: the Smart Way of Italian SMEs to Innovate -- Strategic Fit Between Regional Innovation Policy and Regional Innovation Systems -- Schumpeterian Patterns of Innovation and the Sources of Breakthrough Inventions -- R&D, Patents and Stock Return Volatility -- On Profit Differentials Between Persistent and Occasional Innovators -- Financial Factors and Patents -- Building Systems -- What Causes Creative Destruction?- Markets and Organizations -- Financial System and Technological Catching-Up En línea: http://dx.doi.org/10.1007/978-3-642-35125-9 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=36568 Ejemplares
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Título : Simulating Knowledge Dynamics in Innovation Networks Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Nigel Gilbert ; Petra Ahrweiler ; Andreas Pyka Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2014 Otro editor: Imprint: Springer Colección: Understanding Complex Systems, ISSN 1860-0832 Número de páginas: XII, 248 p. 71 illus., 37 illus. in color Il.: online resource ISBN/ISSN/DL: 978-3-662-43508-3 Idioma : Inglés (eng) Palabras clave: Business Management Industrial management Operations research Decision making Computer simulation Sociophysics Econophysics Complexity, Computational and Innovation/Technology Socio- Econophysics, Population Evolutionary Models Simulation Modeling Complexity Operation Research/Decision Theory Clasificación: 658 Empresas. Organización de empresas Resumen: The competitiveness of firms, regions and countries greatly depends on the generation, dissemination and application of new knowledge. Modern innovation research is challenged by the need to incorporate knowledge generation and dissemination processes into the analysis so as to disentangle the complexity of these dynamic processes. With innovation, however, strong uncertainty, nonlinearities and actor heterogeneity become central factors that are at odds with traditional modeling techniques anchored in equilibrium and homogeneity. This text introduces SKIN (Simulation Knowledge Dynamics in Innovation Networks), an agent-based simulation model that primarily focuses on joint knowledge creation and exchange of knowledge in innovation co-operations and networks. In this context, knowledge is explicitly modeled and not approximated by, for instance, the level of accumulated R&D investment. The SKIN approach supports applications in different domains ranging from sector-based research activities in knowledge-intensive industries to the activities of international research consortia engaged in basic and applied research. Following a general description of the SKIN model, several applications and modifications are presented. Each chapter introduces in detail the structure of the model, the relevant methodological considerations and the analysis of simulation results, while options for empirically validating the models’ structure and outcomes are also discussed. The book considers the scope of further applications and outlines prospects for the development of joint modeling strategies Nota de contenido: Introduction: SKIN modeling -- Part 1 Innovation Strategies.-Part 2 Testing Policy Options -- Part 3 Applying SKIN to innovation sectors -- Summary and Outlook En línea: http://dx.doi.org/10.1007/978-3-662-43508-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=36295 Simulating Knowledge Dynamics in Innovation Networks [documento electrónico] / SpringerLink (Online service) ; Nigel Gilbert ; Petra Ahrweiler ; Andreas Pyka . - Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014 . - XII, 248 p. 71 illus., 37 illus. in color : online resource. - (Understanding Complex Systems, ISSN 1860-0832) .
ISBN : 978-3-662-43508-3
Idioma : Inglés (eng)
Palabras clave: Business Management Industrial management Operations research Decision making Computer simulation Sociophysics Econophysics Complexity, Computational and Innovation/Technology Socio- Econophysics, Population Evolutionary Models Simulation Modeling Complexity Operation Research/Decision Theory Clasificación: 658 Empresas. Organización de empresas Resumen: The competitiveness of firms, regions and countries greatly depends on the generation, dissemination and application of new knowledge. Modern innovation research is challenged by the need to incorporate knowledge generation and dissemination processes into the analysis so as to disentangle the complexity of these dynamic processes. With innovation, however, strong uncertainty, nonlinearities and actor heterogeneity become central factors that are at odds with traditional modeling techniques anchored in equilibrium and homogeneity. This text introduces SKIN (Simulation Knowledge Dynamics in Innovation Networks), an agent-based simulation model that primarily focuses on joint knowledge creation and exchange of knowledge in innovation co-operations and networks. In this context, knowledge is explicitly modeled and not approximated by, for instance, the level of accumulated R&D investment. The SKIN approach supports applications in different domains ranging from sector-based research activities in knowledge-intensive industries to the activities of international research consortia engaged in basic and applied research. Following a general description of the SKIN model, several applications and modifications are presented. Each chapter introduces in detail the structure of the model, the relevant methodological considerations and the analysis of simulation results, while options for empirically validating the models’ structure and outcomes are also discussed. The book considers the scope of further applications and outlines prospects for the development of joint modeling strategies Nota de contenido: Introduction: SKIN modeling -- Part 1 Innovation Strategies.-Part 2 Testing Policy Options -- Part 3 Applying SKIN to innovation sectors -- Summary and Outlook En línea: http://dx.doi.org/10.1007/978-3-662-43508-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=36295 Ejemplares
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Título : The Evolution of Economic and Innovation Systems Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Andreas Pyka ; John Foster Editorial: Cham : Springer International Publishing Fecha de publicación: 2015 Otro editor: Imprint: Springer Colección: Economic Complexity and Evolution, ISSN 2199-3173 Número de páginas: VII, 641 p. 102 illus., 63 illus. in color Il.: online resource ISBN/ISSN/DL: 978-3-319-13299-0 Idioma : Inglés (eng) Palabras clave: Entrepreneurship Management Industrial management Evolutionary economics organization Economic growth Economics Growth Institutional/Evolutionary Innovation/Technology Organization Clasificación: 658 Empresas. Organización de empresas Resumen: This book is at the cutting edge of the ongoing ‘neo-Schumpeterian’ research program that investigates how economic growth and its fluctuation can be understood as the outcome of a historical process of economic evolution. Much of modern evolutionary economics has relied upon biological analogy, especially about natural selection. Although this is valid and useful, evolutionary economists have, increasingly, begun to build their analytical representations of economic evolution on understandings derived from complex systems science. In this book, the fact that economic systems are, necessarily, complex adaptive systems is explored, both theoretically and empirically, in a range of contexts. Throughout, there is a primary focus upon the interconnected processes of innovation and entrepreneurship, which are the ultimate sources of all economic growth. Twenty two chapters are provided by renowned experts in the related fields of evolutionary economics and the economics of innovation Nota de contenido: The Evolution of Economic Systems -- The Evolution of Innovation Systems -- Entrepreneurship and Innovation Competition En línea: http://dx.doi.org/10.1007/978-3-319-13299-0 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35546 The Evolution of Economic and Innovation Systems [documento electrónico] / SpringerLink (Online service) ; Andreas Pyka ; John Foster . - Cham : Springer International Publishing : Imprint: Springer, 2015 . - VII, 641 p. 102 illus., 63 illus. in color : online resource. - (Economic Complexity and Evolution, ISSN 2199-3173) .
ISBN : 978-3-319-13299-0
Idioma : Inglés (eng)
Palabras clave: Entrepreneurship Management Industrial management Evolutionary economics organization Economic growth Economics Growth Institutional/Evolutionary Innovation/Technology Organization Clasificación: 658 Empresas. Organización de empresas Resumen: This book is at the cutting edge of the ongoing ‘neo-Schumpeterian’ research program that investigates how economic growth and its fluctuation can be understood as the outcome of a historical process of economic evolution. Much of modern evolutionary economics has relied upon biological analogy, especially about natural selection. Although this is valid and useful, evolutionary economists have, increasingly, begun to build their analytical representations of economic evolution on understandings derived from complex systems science. In this book, the fact that economic systems are, necessarily, complex adaptive systems is explored, both theoretically and empirically, in a range of contexts. Throughout, there is a primary focus upon the interconnected processes of innovation and entrepreneurship, which are the ultimate sources of all economic growth. Twenty two chapters are provided by renowned experts in the related fields of evolutionary economics and the economics of innovation Nota de contenido: The Evolution of Economic Systems -- The Evolution of Innovation Systems -- Entrepreneurship and Innovation Competition En línea: http://dx.doi.org/10.1007/978-3-319-13299-0 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35546 Ejemplares
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