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- Lindmark, Sven, 1965, et al.
(författare)
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Evolution of university-industry collaboration at Chalmers University of Technology
- 2018
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Ingår i: University-Industry Interaction Conference.
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- The objective of this paper is to investigate the interaction of Chalmers University of Technology (henceforth Chalmers) with industry from the 1990s and onwards. It is part of an ongoing research project that critically analyses how and why new engineering knowledge and networks resulting from university-industry collaboration (UIC) affect the development of capabilities in firms, in different sectors in Sweden.
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| 3. |
- Annafari, Tsani, 1974, et al.
(författare)
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Intergenerational effects of mobile service diffusion in Sweden
- 2011
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Ingår i: 5th ITS Africa-Asia-Australasia Regional Conference, Perth,WesternAustralia,November13-16.
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- This paper addresses the intergenerational effects of mobile telephone service diffusion in Sweden. Using the Norton-Bass and Islam-Meade models, it plots annual mobile service penetration rate data from the year 1956 to 2010 to explain the pattern of mobile telephone service diffusion. The results show that only Norton-Bass model could achieve convergence status in the program iteration. The model fit indicates that Norton-Bass model is still reasonably good for explaining the intergenerational diffusion process. The results also show that the coefficient of innovation p has a lower value than the coefficient of imitation q. This suggests that the diffusion process is affected more by external factors, such as word of mouth, than by inherent innovativeness of users. Furthermore, the results also indicate that each type of technology has a different market potential with the later technology having higher market potential then the previous. This suggests that there is a positive intergenerational effect on the adoption decision from the proportion already adopted. Furthermore, the study also recognizes that the intergenerational process of mobile communication technology diffusion is comparable to the evolutionary process of technology in the sense that the process shows two main evolutionary features, i.e. the emergence of technology variation across generation and the selection process from earlier generation of technology to the new one. Therefore, evolutionary framework may be applicable to understand the diffusion process of a technology.
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| 6. |
- Bergek, Anna, 1973, et al.
(författare)
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Analysing the Dynamics and Fucntionality of Sectoral Innovation Systems - a manual
- 2005
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Ingår i: DRUID Tenth Anniversary Summer Conference 2005, Copenhagen Business School, Copenhagen, Denmark, June 27-29, 2005.
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Konferensbidrag (refereegranskat)abstract
- Various researchers and policy analysts have experimented with empirical studies of sectoral innovation systems (SIS), in which attempts have been made to understand the current structure of various innovation systems and trace their dynamics. We have captured the dynamics in terms of not only the structural components of a SIS but also pioneered such an analysis in terms of functional patterns (as well as functionality). In a collaborative work with VINNOVA (the Swedish Agency for Innovation Systems), we have taken the analysis one step further and made explicit a scheme of analysis, or a manual for policy makers. The manual is based on the received literature, our prior experience in developing and applying functional thinking and three experimental case studies, conducted in collaboration with VINNOVA. The manual can be used by policy makers to identify not only the key policy issues but also to set policy goals and to assess the usefulness of various policy instruments.
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| 7. |
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| 8. |
- Bergek, Anna, et al.
(författare)
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Analyzing the functional dynamics of technological innovation systems : A scheme of analysis
- 2008
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Ingår i: Research Policy. - : Elsevier BV. - 0048-7333 .- 1873-7625. ; 37:3, s. 407-429
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Tidskriftsartikel (refereegranskat)abstract
- Various researchers and policy analysts have made empirical studies of innovation systems in order to understand their current structure and trace their dynamics. However, policy makers often experience difficulties in extracting practical guidelines from studies of this kind. In this paper, we operationalize our previous work on a functional approach to analyzing innovation system dynamics into a practical scheme of analysis for policy makers. The scheme is based on previous literature and our own experience in developing and applying functional thinking. It can be used by policy makers not only to identify the key policy issues but also to set policy goals. © 2007 Elsevier B.V. All rights reserved.
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