Conceptualizing patterns in the dynamics of emerging technologies: The case of biotechnology developments in the Netherlands

The major contribution of this study lies in the development of a methodology for studying patterns of dynamics of emerging technologies. Our main research question includes: How can patterns of technology dynamics of emerging technologies be conceptualized? And more specifically to the Dutch biotech case: Which patterns of technology dynamics could be discerned at Dutch dedicated life sciences firms (DDLSFs)? We develop a new approach for conceptualizing patterns of technology dynamics, using an ‘opportunity matrix’ as the starting point and presenting these patterns by network visualization. We illustrate this new conceptualization by an exemplary case study of emerging biotechnology developments in the Dutch/life sciences sector. Our results show a growing diversity within subsequent populations of newly founded firms over time. Individual newly founded firms were shown to be mainly specialists, working on one technological subfield.

[1]  G. M. Duijsters,et al.  Understanding novelty creation in exploration networks, structural and relational embeddedness jointly considered , 2008 .

[2]  Raghu Garud,et al.  The innovation journey , 1999 .

[3]  Thomas H. Wonnacott,et al.  Introductory Statistics , 2007, Technometrics.

[4]  W. Powell,et al.  Network Dynamics and Field Evolution: The Growth of Interorganizational Collaboration in the Life Sciences1 , 2005, American Journal of Sociology.

[5]  Gary Walsh,et al.  Biopharmaceuticals: recent approvals and likely directions. , 2005, Trends in biotechnology.

[6]  H.G.M. Oosterwijk.  Sectoral variations in national systems of innovation : the case of telecommunication and modern biotechnology , 2003 .

[7]  F. Malerba,et al.  Knowledge-relatedness in firm technological diversification , 2003 .

[8]  Marshall Scott Poole,et al.  Handbook of Organizational Change and Innovation , 2004 .

[9]  Daan J.A. Crommelin,et al.  Pharmaceutical Biotechnology: An Introduction for Pharmacists and Pharmaceutical Scientists , 1997 .

[10]  S. Winter,et al.  An evolutionary theory of economic change , 1983 .

[11]  Andreas Pyka,et al.  Innovation Networks in the Biotechnology-Based Sectors , 2001 .

[12]  H. Simon,et al.  Models Of Man : Social And Rational , 1957 .

[13]  A. Gambardella,et al.  Does technological convergence imply convergence in markets? Evidence from the electronics industry , 1998 .

[14]  M. Dibner.  Biotechnology in Europe , 1986, Science.

[15]  Franco Malerba,et al.  Schumpeterian patterns of innovation are technology-specific , 1996 .

[16]  W. P. Barnett,et al.  The Organizational Ecology of a Technological System. , 1990 .

[17]  Gerhard W. Fuchs.  Biotechnology in Comparative Perspective , 2003 .

[18]  Andrew Pettigrew,et al.  The organizational life cycle : issues in the creation, transformation, and decline of organizations , 1981 .

[19]  Don E. Kash,et al.  Emerging patterns of complex technological innovation , 2002 .

[20]  D. Hine,et al.  Harmonizing science and business agendas for growth in new biotechnology firms: Case comparisons from five countries , 2007 .

[21]  Jing Zhang,et al.  Technological Knowledge Base, R&D Organization Structure and Alliance Formation: Evidence from the Biopharmaceutical Industry , 2007 .

[22]  John Law,et al.  Shaping technology building society: studies in socio-technical change , 1993 .

[23]  Anne Plunket,et al.  Inventive and Uninventive Clusters: The Case of Canadian Biotechnology , 2008 .

[24]  Oliver Gassmann,et al.  Leading Pharmaceutical Innovation: Trends and Drivers for Growth in the Pharmaceutical Industry , 2004 .

[25]  Monica C. Higgins,et al.  Where do alliances come from?: The effects of upper echelons on alliance formation , 2007 .

[26]  C. A. Benavides-Velasco,et al.  Innovative competence, exploration and exploitation: The influence of technological diversification , 2008 .

[27]  Massimo Riccaboni,et al.  Technological change and network dynamics: Lessons from the pharmaceutical industry , 2001 .

[28]  R. Garud,et al.  Path dependence and creation , 2003 .

[29]  Maureen McKelvey.  Evolutionary Innovations: The Business of Biotechnology , 1996 .

[30]  Jens Laage-Hellman,et al.  The Economic Dynamics of Modern Biotechnology, Edward Elgar, Cheltenham. , 2004 .

[31]  Paolo Saviotti,et al.  Knowledge dynamics, firm strategy, mergers and acquisitions in the biotechnology based sectors , 2005 .

[32]  S. Bartholomew.  National Systems of Biotechnology Innovation: Complex Interdependence in the Global System , 1997 .

[33]  Mile Terziovski,et al.  Management practices and strategies to accelerate the innovation cycle in the biotechnology industry , 2006 .

[34]  C. Bullard.  Shaping technology/Building society , 1994 .

[35]  Paul Nightingale,et al.  The myth of the biotech revolution: An assessment of technological, clinical and organisational change , 2007 .

[36]  Andreas Pyka,et al.  Technological evolution -- an analysis within the knowledge-based approach , 1998 .

[37]  Tessa van der Valk.  Technology Dynamics, Network Dynamics and Partnering. The Case of Dutch Dedicated Life Sciences Firms , 2007 .

[38]  Vincent Mangematin,et al.  Strategies of European SMEs in Biotechnology: The Role of Size, Technology and Market , 2004, Scientometrics.

[39]  Stephen Roper,et al.  From capability to connectivity — absorptive capacity and exploratory alliances in biopharmaceutical firms: a US–Europe comparison , 2008 .

[40]  Sharmistha Bagchi-Sen,et al.  An analysis of firm-level innovation strategies in the US biotechnology industry , 2007 .

[41]  Boaz Bernstein,et al.  From Invention to Innovation: Toward Developing an Integrated Innovation Model for Biotech Firms , 2006, Journal of Product Innovation Management.

[42]  Geert Duysters,et al.  Technological Convergence in the IT Industry: The Role of Strategic Technology Alliances and Technological Competencies , 1998 .

[43]  Anna Nosella,et al.  Characteristics of the Italian biotechnology industry and new business models: the initial results of an empirical study , 2005 .

[44]  Gary P. Pisano,et al.  Science Business: The Promise, the Reality, and the Future of Biotech , 2006 .

[45]  L. Willemstein,et al.  Dynamics in business models: An empirical analysis of medical biotechnology firms in the Netherlands , 2007 .

[46]  Franco Malerba,et al.  Technological entry, exit and survival: an empirical analysis of patent data , 1999 .

[47]  Maureen McKelvey,et al.  The economic dynamics of modern biotechnology , 2004 .

[48]  Daniel A. Levinthal.  The Slow Pace of Rapid Technological Change: Gradualism and Punctuation in Technological Change , 1998 .

[49]  Filipe M. Santos.  The coevolution of firms and their knowledge environment , 2003 .

[50]  Nathan Rosenberg,et al.  Inside the black box , 1983 .

[51]  Robert U. Ayres,et al.  Toward a non-linear dynamics of technological progress , 1994 .

[52]  David L. Deephouse.  To Be Different or to Be the Same? It's a Question (and a Theory) of Strategic Balance , 1998 .

[53]  Anna Nosella,et al.  Business models in Italian biotechnology industry: a quantitative analysis , 2005 .