35,791 research outputs found

    Environmental innovation and industrial dynamics: the contributions of evolutionary economics

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    The purpose of this article is to discuss the contributions of the evolutionary theory of innovation on the micro and meso dynamics of environmental innovations. We argue that the evolutionary literature on innovation, and more particularly on technological regimes, provides a relevant framework in order to analyse the various determinants of environmental innovations and the double externality problem in an industrial dynamics context. The article starts with an overview of the empirical literature on environmental innovations with a focus on their determinants and specificities. In section 3, we discuss the contributions of the evolutionary literature on technological regimes and argue that it can provide a relevant framework for a sectoral approach of environmental innovations. In section 4, we concentrate on the role of demand side dynamics and highlight the implications of technological competition models on the role of demand conditions in the diffusion of environmental technologies. Finally, section 5 is devoted to the implications of the evolutionary theory of innovation on the question of the transition towards more sustainable technological systems.Environmental innovations, industrial dynamics, evolutionary theory, technological regimes

    Re-reengineering the dream: agility as competitive adaptability

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    Organizational adaptation and transformative change management in technology-based organizations is explored in the context of collaborative alliances. A Re-reengineering approach is outlined in which a new Competitive Adaptability Five-Influences Analysis approach under conditions of collaborative alliance, is described as an alternative to Porter’s Five-Forces Competitive Rivalry Analysis model. Whilst continuous change in technology and the associated effects of technology shock (Dedola & Neri, 2006; Christiano, Eichenbaum & Vigfusson, 2003) are not new constructs, the reality of the industrial age was and is a continuing reduction in timeline for relevance and lifetime for a specific technology and the related skills and expertise base required for its effective implementation. This, combined with increasing pressures for innovation (Tidd & Bessant, 2013) and at times severe impacts from both local and global economic environments (Hitt, Ireland & Hoskisson, 2011) raises serious challenges for contemporary management teams seeking to strategically position a company and its technology base advantageously, relative to its suppliers, competitors and customers, as well as in predictive readiness for future technological change and opportunistic adaptation. In effect, the life-cycle of a technology has become typically one of disruptive change and rapid adjustment, followed by a plateau as a particular technology or process captures and holds its position against minor challenges, eventually to be displaced by yet another alternative (Bower & Christensen, 1995)

    A quantitative perspective on ethics in large team science

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    The gradual crowding out of singleton and small team science by large team endeavors is challenging key features of research culture. It is therefore important for the future of scientific practice to reflect upon the individual scientist's ethical responsibilities within teams. To facilitate this reflection we show labor force trends in the US revealing a skewed growth in academic ranks and increased levels of competition for promotion within the system; we analyze teaming trends across disciplines and national borders demonstrating why it is becoming difficult to distribute credit and to avoid conflicts of interest; and we use more than a century of Nobel prize data to show how science is outgrowing its old institutions of singleton awards. Of particular concern within the large team environment is the weakening of the mentor-mentee relation, which undermines the cultivation of virtue ethics across scientific generations. These trends and emerging organizational complexities call for a universal set of behavioral norms that transcend team heterogeneity and hierarchy. To this end, our expository analysis provides a survey of ethical issues in team settings to inform science ethics education and science policy.Comment: 13 pages, 5 figures, 1 table. Keywords: team ethics; team management; team evaluation; science of scienc

    What is protective space? Reconsidering niches in transitions to sustainability

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    The transitions literature emphasises the role of niches, defined as a protective space for path-breaking innovations. Surprisingly, the concept of protection has not been systematically interrogated. Our analysis identifies protection as having three functions in wider transition processes: shielding, nurturing and empowerment. Empowerment, understood as processes and mechanisms that contribute to changes in mainstream selection environments in ways favourable to the path-breaking innovation, is considered the least developed in current niche development literature. We argue that these properties need to be understood from an agency perspective, with attention for the politics involved in their realisation. The paper ends with an outlook upon two promising research avenues: 1) the reconstruction of niche development pathways in light of the present framework; 2) analyses of the diverse (political) narratives seeking to empower niches across time and space.transitions, sustainability, niches

    Industrial R&D in Italy: Exploration and Exploitation Strategies in Industrial R&D

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    This paper discusses four types of strategic decisions in technology management in established firms. It is well known that deciding between exploration and exploitation in R&D, and eventually combining the two strategies, is a crucial issue. However, we argue that more attention, both from a theoretical and an empirical perspective, should be paid to the strategic solutions which are implemented as a consequence of such decisions, as well as to the various types of interactions between strategic decisions and organizational solutions in industrial R&D. Here we apply to R&D management concepts derived from the industrial dynamics literature, and use a theoretical framework to describe and analyse four case studies concerning the largest R&D centres of Italian firms operating in different industrial sectors (telecommunications, automotive, communication and cables, and semiconductors). The different approaches that those private R&D centres have chosen in their recent past are compared and discussed. More specifically, we try and analyze the patterns of exploration, technology transfer and commercialization that industrial R&D labs have adopted in order to combine short-term objectives of exploitation of research results and competencies, and long-term goals of exploration of new technological trajectories. The proposed approach is based upon the use of two dimensions: first, the type of technological change, and second the control of complementary assets and the existence of a dominant design. We argue that the interpretation of the four case studies can represent a useful basis for discussion among R&D managers as well as innovation and technology management scholars.

    Darwinism, probability and complexity : market-based organizational transformation and change explained through the theories of evolution

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    The study of transformation and change is one of the most important areas of social science research. This paper synthesizes and critically reviews the emerging traditions in the study of change dynamics. Three mainstream theories of evolution are introduced to explain change: the Darwinian concept of survival of the fittest, the Probability model and the Complexity approach. The literature review provides a basis for development of research questions that search for a more comprehensive understanding of organizational change. The paper concludes by arguing for the development of a complementary research tradition, which combines an evolutionary and organizational analysis of transformation and change

    An Evolutionary Economic Analysis of Energy Transitions

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    Evolutionary economics offers clear insights into the mechanisms that underlie innovations, structural change and transitions. It is therefore of great value for the framing of policies aimed at fostering a transition to a sustainable development. This paper offers an overview of the main insights of evolutionary economics and derives core concepts, namely ‘diversity’, ‘innovation’, ‘selection environment’, ‘bounded rationality’, ‘path dependence and lock-in’, and ‘coevolution’. These concepts are subsequently used to formulate guidelines for the role of the government and the design of public policies, such as the learning from historical technological pathways and the creation of an extended level playing field. In addition, the developments of certain energy technologies are examined in detail within the adopted evolutionary economics framework. Three particular technologies received attention, namely fuel cells, nuclear fusion, and photovoltaic cells.

    Innovation processes and industrial districts

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    In this survey, we examine the operations of innovation processes within industrial districts by exploring the ways in which differentiation, specialization, and integration affect the generation, diffusion, and use of new knowledge in such districts. We begin with an analysis of the importance of the division of labour and then investigate the effects of social embeddedness on innovation. We also consider the effect of forms of organization within industrial districts at various stages of product and process life, and we examine the negative aspects of embeddedness for innovation. We conclude with a discussion of the possible consequences of new information and communications technologies on innovation in industrial districts
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