Chapter
2 Innovation and economic growth theory: a Schumpeterian legacy and agenda
2.1 Economic growth theory in the 1950s and 1960s: a legacy lost
2.2 Competing Schumpeterian paradigms for explaining the relation between growth and technology
2.2.1 The evolutionary approach to technology and growth
2.2.2 Neoclassical views of economic growth and technology
2.3 The Schumpeterian legacy assessed: an outlook on the theory of innovation and growth
Comments to Chapters 1 and 2: Understanding economic growth
Part 2 The microdynamics of the innovation process
3 Schumpeter's prophecy and individual incentives as a driver of innovation
3.1 Technological change and the incentives of individuals
3.2 Incentives of researchers, scientists, and inventors
3.3 Do individual incentives matter for innovation?
3.4 Individual incentives and innovation: an agenda
4 Creative destruction in the PC industry
4.1 Introduction because it is there! Why?
4.1.1 Technology and demand
4.1.3 Threats and policies
4.2 A wave, preceded and proceeding
4.2.2 Office applications
4.2.5 Mixed incentives for openness and vertical disintegration
4.2.6 Creative destruction in waves
4.3 One wave after another
4.3.1 Divided technical leadership
4.3.3 Precedents to another wave
4.3.4 Consequences of a wave
4.3.5 The origins of entrants
4.4 A wave rebuffed: sea change or seawall?
4.4.1 Precedents to a wave
4.4.1.1 Anticipatory innovations
4.4.2 Beginnings of a wave
4.4.2.1 Reactions of existing firms
4.4.3.1 Lessons of blocked creative destruction
Comments to Chapters 3 and 4: Stemming the tide of creative destruction?
Part 3 Innovation and industrial dynamics
5 Statistical regularities in the evolution of industriesa guide through some evidence and challenges for the theory
5.1 Firm sizes, growth rates and profitabilities
5.1.2 Corporate growth rates
Growth rates distributions
Autocorrelation in growth rates
5.1.3 Profitabilities and their dynamics
5.1.4 The statistical structure of industrial evolution: some concluding remarks
5.2 Behind heterogeneous performances: innovation and production efficiency
5.2.1 Technological innovativeness
5.2.2 Production efficiencies
5.2.3 Corporate capabilities, competition and performances
5.3 Evolutionary interpretations: corroborations and challenges by way of a conclusion
6 Spin-off entry in high-tech industries: motives and consequences
6.1 Empirical regularities concerning spin-offs
6.2 Existing theories of spin-off formation
6.3 Disagreements and spin-offs: a new model
6.3.1 The dynamics of disagreement
6.3.2 The hazard of spin-off formation
6.3.3 The effect of acquisitions
6.3.5 Parent quality and the spin-off hazard
Comments to Chapters 5 and 6
Part 4 Innovation and institutions
7 Schumpeterian innovation in institutions
Introduction: Schumpeter revisited on innovation
7.1 Using the game-theoretic frame for understanding institutions
7.2 The primitive domains and three modes of their linkages
7.3 Three mechanisms of institutional change
7.3.1 Schumpeterian dis-bundling and new-bundling
7.3.2 Overlapping social embeddedness
7.3.3 Dynamic institutional complementarities
7.4 Schumpeterian innovation in an institution of innovation
8 Innovation and Europe's academic institutions – second thoughts about embracing the Bayh–Dole regime
8.1 Innovation and universities' role in commercializing research results: should Europe be imitating America's Bayh–Dole experiment?
8.2 An innovative epoch in the European university system
8.2.1 Institutional creativity envisaged
8.2.2 The "vision" deciphered
8.2.3 The evolving legacy of medieval institutional innovation
8.3 Back to the future the quest for the "wealth-creating" university reconsidered
8.4 Towards "evidence-based policies" for science and technology in the ERA
8.4.1 Is there a problem, and where does it lie?
8.4.2 Does the Bayh–Dole regime offer a suitable model for international adoption?
8.4.3 Could the exploitation of intellectual property really offset universities' costs?
8.5 Developing institutional innovations for innovative Europe
8.5.1 Hopeful monsters and plain monsters
Comments to Chapters 7 and 8: Institutions and innovation
Institutions as rules of the game
Bringing Bayh–Dohle to Europe – a case of pervert international institutional learning?
The role of universities in the learning economy
Walras+ as strategy for Europe
Part 5 Innovation, firms’ organization, and business strategies
9 Bringing selection back into our evolutionary theories of innovation
9.1 Problems of competence
9.3 Problems of selection
9.2.1 Heterogeneity in selection criteria
9.2.2 Selection in organizations and the Iron Law of Hierarchy
9.2.3 Problems of intermediate selection along development journeys
9.2.4 Bringing evaluation into our models of search
10 From leadership to management: mobilizing knowledge for innovation in strategic alliances
10.1 The collaboration and its interpretation
10.1.1 Initial Conditions
Comments to Chapters 9 and 10: Innovation and organizations: comments and perspectives
Doz, Cuomo and Wrazel: managing an alliance for innovation
Levinthal the role of selection in innovation
Internal selection in the HP–ST alliance
Part 6 Innovation and entrepreneurship
11 Schumpeterian legacies for entrepreneurship and networks: the social dimensions of entrepreneurial action
11.1 What do we know about entrepreneurship and networks?
11.2 Schumpeter's legacy for entrepreneurship and networks
11.2.1 Schumpeter and entrepreneurship
11.2.2 The forgotten legacy of Schumpeter for entrepreneurship and networks: entrepreneurial action as rational, social and creative
11.2.3 Schumpeter and networks
12 Knowledge-based entrepreneurship: the organizational side of technology commercialization
12.1 The nature of scientific knowledge and its transfer conditions
12.2 Competition between business conceptions: the entrepreneurial sorting process
12.3 Start-up firms and the decay of founder knowledge
12.4 Incumbent firms and the role of intra organizational career paths
Comments to Chapters 11 and 12
Part 7 Innovation and evolution of the university system
13 Academic entrepreneurs and technology transfer: who participates and why?
13.1 The technology-transfer process
13.1.1 Inventive capacity
13.1.2 Entrepreneurial propensity
13.2 Data, variables, and methods
13.4 Reflective conclusions and further research
14 Modelling and measuring scientific production: a first estimation for a panel of OECD countries
14.1 Modelling and measuring scientific production
14.1.1 A knowledge production function model
14.2 The polynomial distributed lag model
14.3 The search for spillovers
14.3.1 Testing for the contribution of proximity
14.3.2 The importance of the United States
Comments to Chapters 13 and 14
Part 8 Innovations and public policy
15 Innovation systems, innovation policy and restless capitalism
15.1 Evolving knowledge and the evolving economic order
15.2 A systems innovation policy perspective
16 Intellectual property rights and competition policy
16.1 Monopoly and innovation
16.2 Monopoly and types of innovation
16.3 Ex ante and ex post incentives to innovate
16.4 Do intellectual property rights inhibit innovation?
16.5 Current and future innovation
17 The policy-shaper's anxiety at the innovation kick: how far do innovation theories really help in the world of policy?
17.1 Defining the policy field and its boundaries
17.2 Legitimizing an increase in resources for public intervention: the charm of the 'linear model'?
17.3 Delineating the problems to be solved and setting objectives
17.4 Inventing policy instrumentsthe example of research programme design options