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Anders Broström

Bio: Anders Broström is an academic researcher from Royal Institute of Technology. The author has contributed to research in topics: Medicine & Entrepreneurship. The author has an hindex of 16, co-authored 67 publications receiving 3689 citations. Previous affiliations of Anders Broström include National Bureau of Economic Research.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors present a systematic review of research on academic scientists' involvement in collaborative research, contract research, consulting and informal relationships for university-industry knowledge transfer, which they refer as academic engagement.
Abstract: A considerable body of work highlights the relevance of collaborative research, contract research, consulting and informal relationships for university-industry knowledge transfer. We present a systematic review of research on academic scientists’ involvement in these activities to which we refer as ‘academic engagement’. Apart from extracting findings that are generalisable across studies, we ask how academic engagement differs from commercialization, defined as intellectual property creation and academic entrepreneurship. We identify the individual, organizational and institutional antecedents and consequences of academic engagement, and then compare these findings with the antecedents and consequences of commercialization. Apart from being more widely practiced, academic engagement is distinct from commercialization in that it is closely aligned with traditional academic research activities, and pursued by academics to access resources supporting their research agendas. We conclude by identifying future research needs, opportunities for methodological improvement and policy interventions. (Published version available via open access)

1,589 citations

Journal ArticleDOI
TL;DR: In this paper, the authors present a systematic review of research on academic scientists' involvement in collaborative research, contract research, consulting and informal relationships for university-industry knowledge transfer, which they refer as academic engagement.

1,470 citations

Posted Content
TL;DR: In this paper, an econometric analysis of the impact of collaboration with universities on the innovative output of firms is presented, and the differences that emerge from robustness checks, based on different matching estimators and samples.
Abstract: This paper presents an econometric analysis of the impact of collaboration with universities on the innovative output of firms. We also illustrate the differences that emerge from robustness checks, based on different matching estimators and samples. Our findings strongly suggest that university collaboration has a positive influence on the innovative activity of large manufacturing firms. In contrast, there appears to be an insignificant association between university collaboration and the average service firm’s innovation output.

240 citations

Journal ArticleDOI
TL;DR: In this paper, the authors present an econometric analysis of the impact of collaboration with universities on the innovative output of firms and illustrate the differences that emerge from robustness checks, based on different matching estimators and samples.
Abstract: This paper presents an econometric analysis of the impact of collaboration with universities on the innovative output of firms We also illustrate the differences that emerge from robustness checks, based on different matching estimators and samples Our findings strongly suggest that university collaboration has a positive influence on the innovative activity of large manufacturing firms In contrast, there appears to be an insignificant association between university collaboration and the average service firm’s innovation output

222 citations

01 Jan 2008
TL;DR: It is suggested that linkages in geographical proximity are more likely than distant linkages to generate impulses to innovation and create significant learning effects at the firm and geographic proximate interaction is more likely to successfully contribute to R&D projects with short time to market.
Abstract: This paper studies the role of geographic proximity for interaction on R&D by exploring the special case of formalised university-industry interaction in the engineering sector While numerous s ...

110 citations


Cited by
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Posted Content
TL;DR: The Oxford Handbook of Innovation as mentioned in this paper provides a comprehensive and holistic understanding of the phenomenon of innovation, with a focus on firms and networks, and the consequences of innovation with respect to economic growth, international competitiveness, and employment.
Abstract: This handbook looks to provide academics and students with a comprehensive and holistic understanding of the phenomenon of innovation. Innovation spans a number of fields within the social sciences and humanities: Management, Economics, Geography, Sociology, Politics, Psychology, and History. Consequently, the rapidly increasing body of literature on innovation is characterized by a multitude of perspectives based on, or cutting across, existing disciplines and specializations. Scholars of innovation can come from such diverse starting points that much of this literature can be missed, and so constructive dialogues missed. The editors of The Oxford Handbook of Innovation have carefully selected and designed twenty-one contributions from leading academic experts within their particular field, each focusing on a specific aspect of innovation. These have been organized into four main sections, the first of which looks at the creation of innovations, with particular focus on firms and networks. Section Two provides an account of the wider systematic setting influencing innovation and the role of institutions and organizations in this context. Section Three explores some of the diversity in the working of innovation over time and across different sectors of the economy, and Section Four focuses on the consequences of innovation with respect to economic growth, international competitiveness, and employment. An introductory overview, concluding remarks, and guide to further reading for each chapter, make this handbook a key introduction and vital reference work for researchers, academics, and advanced students of innovation. Contributors to this volume - Jan Fagerberg, University of Oslo William Lazonick, INSEAD Walter W. Powell, Stanford University Keith Pavitt, SPRU Alice Lam, Brunel University Keith Smith, INTECH Charles Edquist, Linkoping David Mowery, University of California, Berkeley Mary O'Sullivan, INSEAD Ove Granstrand, Chalmers Bjorn Asheim, University of Lund Rajneesh Narula, Copenhagen Business School Antonello Zanfei, Urbino Kristine Bruland, University of Oslo Franco Malerba, University of Bocconi Nick Von Tunzelmann, SPRU Ian Miles, University of Manchester Bronwyn Hall, University of California, Berkeley Bart Verspagen , ECIS Francisco Louca, ISEG Manuel M. Godinho, ISEG Richard R. Nelson, Mario Pianta, Urbino Bengt-Ake Lundvall, Aalborg

3,040 citations

Posted Content
TL;DR: 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.

2,154 citations

01 Jan 2008
TL;DR: In this article, the authors argue that rational actors make their organizations increasingly similar as they try to change them, and describe three isomorphic processes-coercive, mimetic, and normative.
Abstract: What makes organizations so similar? We contend that the engine of rationalization and bureaucratization has moved from the competitive marketplace to the state and the professions. Once a set of organizations emerges as a field, a paradox arises: rational actors make their organizations increasingly similar as they try to change them. We describe three isomorphic processes-coercive, mimetic, and normative—leading to this outcome. We then specify hypotheses about the impact of resource centralization and dependency, goal ambiguity and technical uncertainty, and professionalization and structuration on isomorphic change. Finally, we suggest implications for theories of organizations and social change.

2,134 citations

Book
01 Jan 1972
TL;DR: Invisible colleges diffusion of knowledge in scientific communities is also a way as one of the collective books that gives many advantages as discussed by the authors The advantages are not only for you, but for the other peoples with those meaningful benefits.
Abstract: No wonder you activities are, reading will be always needed. It is not only to fulfil the duties that you need to finish in deadline time. Reading will encourage your mind and thoughts. Of course, reading will greatly develop your experiences about everything. Reading invisible colleges diffusion of knowledge in scientific communities is also a way as one of the collective books that gives many advantages. The advantages are not only for you, but for the other peoples with those meaningful benefits.

1,262 citations