Open AccessPosted Content
An Overview of Innovation
TLDR
The process of innovation must be viewed as a series of changes in a complete system not only of hardware, but also of market environment, production facilities and knowledge, and the social contexts of the innovation organization as discussed by the authors.Abstract:
Models that depict innovation as a smooth, well-behaved linear process badly misspecify the nature and direction of the causal factors at work. Innovation is complex, uncertain, somewhat disorderly, and subject to changes of many sorts. Innovation is also difficult to measure and demands close coordination of adequate technical knowledge and excellent market judgment in order to satisfy economic, technological, and other types of constraints—all simultaneously. The process of innovation must be viewed as a series of changes in a complete system not only of hardware, but also of market environment, production facilities and knowledge, and the social contexts of the innovation organization.read more
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Forms of knowledge and modes of innovation
TL;DR: In this article, the authors compared two modes of innovation, Science, Technology and Innovation (STI) and Doing, Using and Interacting (DUI), and found that firms combining the two modes are more likely to innovate new products or services than those relying primarily on one mode or the other.
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National Innovation Systems: Analytical Concept and Development Tool
TL;DR: In this article, a core of the innovation system is defined and it is illustrated that it is necessary both to understand micro-behaviour in the core and understand the wider setting within which the core operates.
Posted Content
Leveraging External Sources of Innovation: A Review of Research on Open Innovation
TL;DR: In this paper, an analysis of prior research on how firms leverage external sources of innovation is presented, which suggests a four-phase model in which a linear process of obtaining, integrating, integrating and commercializing external innovations is combined with interaction between the firm and its collaborators.
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University–industry relationships and open innovation: Towards a research agenda
Markus Perkmann,Kathryn Walsh +1 more
TL;DR: In this paper, the diffusion and characteristics of collaborative relationships between universities and industry are explored, and a research agenda informed by an open innovation perspective is developed. But the authors focus on the effects of university-industry links on innovation-specific variables, such as patents or firm innovativeness, and the dynamics of these relationships remain under-researched.
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'Mode 3' and 'Quadruple Helix': toward a 21st century fractal innovation ecosystem
TL;DR: The 'Quadruple Helix' emphasises the importance of also integrating the perspective of the media-based and culture-based public, and results is an emerging fractal knowledge and innovation ecosystem, well-configured for the knowledge economy and society.
References
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Technical efficiency of efforts to enhance innovativeness in the european union
TL;DR: In this article, the authors examined the efficiency of investment in innovation with the use of the DEA model and found that the so-called laggards in innovation are often efficient in their use of resources, whereas leaders of innovation fall short in the area of returns to scale and congestion.
Posted Content
Conceptualizing clusters through the lens of networks: a critical synthesis
TL;DR: In this paper, a unified, encompassing, and less blurred definition of cluster is proposed, based on a critical synthesis of the literature on networks and clusters, and a unified and encompassing definition of clusters is proposed.
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VII—Internal and External Validity in Thought Experiments
TL;DR: In this article, an account of rigour in the use of thought experiments in ethics is given, where the authors argue that there are two separate challenges to be faced: internal validity and external validity.
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Introduction to "The Rate and Direction of Inventive Activity Revisited"
Josh Lerner,Scott Stern +1 more
TL;DR: In this paper, the authors provide new theoretical and empirical contributions to fundamental questions relating to the economics of innovation and technological change while revisiting the findings of a classic book, and examine the practice of open research and how the diffusion of information technology influences the economy of knowledge accumulation.
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Factors affecting product innovation performance according to dynamics of environment: evidence from Korean high–tech enterprises in manufacturing sector
TL;DR: The purpose of this paper is to identify the factors directly affecting on PIP and compare the relative importance of the factors in dynamic and non–dynamic environment using empirical data extracted from Korea Innovation Survey 2010.