User producer interaction in context: a classification

Science, Technology and Innovation Studies show that intensified user producer interaction (UPI) increases chances for successful innovations, especially in the case of emerging technology. It is not always clear, however, what type of interaction is necessary in a particular context. This paper proposes a conceptualization of contexts in terms of three dimensions – the phase of technology development, the flexibility of the technology, and the heterogeneity of user populations – resulting in a classification scheme with eight different contextual situations. The paper identifies and classifies types of interaction, like demand articulation, interactive learning, learning by using and domestication. It appears that each contextual situation demands a different set of UPI types. To illustrate the potential value of the classification scheme, four examples of innovations with varying technological and user characteristics are explored: the refrigerator, clinical anaesthesia, video cassette recording, and the bicycle. For each example the relevant UPI types are discussed and it is shown how these types highlight certain activities and interactions during key events of innovation processes. Finally, some directions for further research are suggested alongside a number of comments on the utility of the classification

User producer interaction in context: A classification

Science, Technology and Innovation Studies show that intensified user producer interaction (UPI) increases chances for successful innovations, especially in the case of emerging technology. It is not always clear, however, what type of interaction is necessary in a particular context. This paper proposes a conceptualization of contexts in terms of three dimensions – the phase of technology development, the flexibility of the technology, and the heterogeneity of user populations – resulting in a classification scheme with eight different contextual situations. The paper identifies and classifies types of interaction, like demand articulation, interactive learning, learning by using and domestication. It appears that each contextual situation demands a different set of UPI types. To illustrate the potential value of the classification scheme, four examples of innovations with varying technological and user characteristics are explored: the refrigerator, clinical anaesthesia, video cassette recording, and the bicycle. For each example the relevant UPI types are discussed and it is shown how these types highlight certain activities and interactions during key events of innovation processes. Finally, some directions for further research are suggested alongside a number of comments on the utility of the classification.Innovation, users, interaction, learning, typology of UPI

New governance for innovation : the need for horizontal and systemic policy co-ordination ; report on a workshop

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In search of relevance: The changing contract between science and society

This paper presents a framework to study the historical development of the relationship between science and society. We elaborate this relationship as a contract that specifies the mission of scientific research, the rationales for public support for science, and the conditions under which scientists work. These three structural elements will always be part of the contract, but their specific content can vary. The credibility cycle, as a model for scientific practice, helps to describe and understand the consequences of a changing contract for the work of individual scientists. A brief case study of chemistry in the Netherlands demonstrates the usefulness of the framework. We show how concepts of relevance have changed since 1975 and how this affects the practice of academic chemistry.relevance, contract, credibility cycle, chemistry

Contemporary Innovation Policy and Instruments: Challenges and Implications

In this paper we review major theoretical (neoclassical economics, evolutionary, systemic and knowledge-based) insights about innovation and we analyse their implications for the characteristics of contemporary innovation policy and instruments. We show that the perspectives complement each other but altogether reveal the need to redefine the current general philosophy as well as the modes of operationalisation of contemporary innovation policy. We argue that systemic instruments ensuring proper organisation of innovation systems give a promise of increased rates and desired (more sustainable) direction of innovation.systemic instruments, innovation policy, innovation theory, policy mix, innovation system, sustainability

Understanding the build-up of a Technological Innovation System around Hydrogen and Fuel Cell Technologies

This study provides insight into the development of hydrogen and fuel cell technologies in the Netherlands (1980-2007). This is done by applying a Technological Innovation System (TIS) approach. This approach takes the perspective that a technology is shaped by a surrounding network of actors, institutions and technologies. When a technology is in an early stage of development, a TIS has yet to be built up in order to propel technological progress. This paper focuses on the historical build-up of the hydrogen and fuel cell innovation system in the Netherlands. The research focuses on processes that accelerated or slowed down the developments of hydrogen and fuel cell technologies. We suggest that this framework is helpful for actors who intend to accelerate the development and deployment of hydrogen and fuel cells in other countries.fuel cell; technological innovation system; system functions; cumulative causation.

The role of TA in Systemic Innovation Policy

Starting from the perception of innovation as a multi actor, multi level strategic game, this paper addresses the role of strategic intelligence, more in particular of TA, in systemic innovation policies. First the history of TA in the US and Europe over the last 4 decades are described and its role in innovation policies discussed. Hereafter the role and (possible) impact of strategic intelligence and systemic innovation policies is analysed. Two recent cases of Constructive TA are used to illustrate how this role is operationalised. The paper is concluded with conclusions on how strategic intelligence may further reinforce systemic innovation policies. Special attention is paid to the role of strategic intelligence in empowering users and other non traditional actors in innovation processes.

Understanding the formative stage of Technological Innovation System development. The case of natural gas as an automotive fuel

This study contributes to insights into mechanisms that influence the successes and failures of emerging energy technologies. It is assumed that for an emerging technology to fruitfully develop, it should be fostered by a Technological Innovation System (TIS), which is the network of actors, institutions and technologies in which it is embedded. For an emerging technology a TIS has yet to be built up. The research focuses on the dynamics of this build-up process by mapping the development of seven key activities: so-called system functions. The main contribution revolves around the notion of cumulative causation, or the phenomenon that the build-up of a TIS may accelerate due to system functions reinforcing each other over time. As an empirical basis, an analysis is provided of the historical development of the TIS around automotive natural gas technology in the Netherlands (1970-2007). The results show that this TIS undergoes a gradual build-up in the 1970s, followed by a breakdown in the 1980s and, again, a build-up from 2000-2007. It is shown that, underlying these trends, there are different forms of cumulative causation, here called motors of innovation. The study provides strategic insights for practitioners that aspire to support such motors of innovation.functions of technological innovation systems; cumulative causation; automotive natural gas.

Learning towards system innovation.Evaluating a systemic instrument.

In this paper we develop an analytical framework for studying learning processes in the context of efforts to bring about system innovation by building new networks of actors who are willing to work on a change towards sustainable development. We then use it to evaluate two specific intervention programmes carried out by a self-proclaimed ‘system instrument’. The framework integrates elements from the Innovation Systems approach with a social learning perspective. The integrated model proposes essentially that these kinds of systemic instruments can serve to enhance conditions for social learning and that such processes may result in learning effects that contribute to system innovation by combatting system imperfections. The empirical findings confirm the assumption that differences in learning can be explained by the existence or absence of conditions for learning. Similarly, the existence or creation of conducive conditions could be linked to the nature and quality of the interventions of the systemic instrument. We conclude that the investigated part of the hypothesised model has not been refuted and seems to have explanatory power. At the same time we propose that further research is needed among others on the relation between learning, challenging system imperfections and system innovation.social learning, system innovation, systemic instruments, system imperfections, innovation systems

User producer interaction in context

User producer interaction (UPI) increases chances for successful innovations. It is not always clear, however, what type of interaction is necessary in a particular context. This article identifies seven different types of UPI: constructing linkages, broadening, characterizing users, upstream involvement, first user enrollment, feedback, and downstream innovation. Specific contextual dimensions from which these UPI types derive relevance are discussed. The technological dimension of this context is conceptualized based on a distinction between types of technologies that differ in the degree to which they are customizable to user demands. Four case studies show that technological characteristics indeed matter for UPI, as do the heterogeneity of users and the phase of technology development