The Dynamics of Knowledge-intensive Sectors' Knowledge Base: Evidence from Biotechnology and Telecommunications

In this paper, we present a methodology to represent and measure knowledge which takes into account knowledge heterogeneity and its sectoral level theoretical and empirical implications in knowledge intensive environments. We draw on work on recombinant knowledge, extending the approach to include the way the dynamics of technological knowledge creation evolves according to a life cycle; testing the existence of concepts such as technological paradigms; mapping the characteristics of the search process in the phases of exploration and exploitation during this technology life cycle and detecting the differences in sectoral evolution that can be explained by the properties of the knowledge base. We use European Patent Office data (1981–2005) to propose some operational metrics for the knowledge base and its evolution in two knowledge intensive sectors: biotechnology and telecommunications. Our empirical results show that there are interesting and meaningful differences across sectors, which are linked to the different phases of the technology life cycles.

[1]  Z. Griliches,et al.  Patents and R and D: Is There a Lag? , 1986 .

[2]  G. Dosi.  Technological Paradigms and Technological Trajectories , 1993 .

[3]  Koen Frenken,et al.  Entropy Statistics as a Framework to Analyse Technological Evolution , 2004 .

[4]  B. Nooteboom.  Learning and Innovation in Organizations and Economies , 2000 .

[5]  F. Quatraro,et al.  Properties of knowledge base and firm survival: Evidence from a sample of French manufacturing firms ☆ , 2013 .

[6]  Pier Paolo Saviotti,et al.  Firm knowledge and market value in biotechnology , 2006 .

[7]  C. Freeman.  Economics of Industrial Innovation , 1975 .

[8]  Martin L. Weitzman,et al.  Hybridizing Growth Theory , 1996 .

[9]  F. Quatraro.  The Economics of Structural Change in Knowledge , 2012 .

[10]  L. Nesta,et al.  Technology Strategy and Knowledge Dynamics: The Case of Biotech¹ , 2003 .

[11]  Akira Goto,et al.  Patent Statistics as an Innovation Indicator , 2010 .

[12]  Paul Nightingale,et al.  A cognitive model of innovation , 1998 .

[13]  Thomas M. Smith,et al.  A History of Mechanical Inventions , 1961, Nature.

[14]  Maureen McKelvey,et al.  Considerations about the Production and Utilization of Knowledge , 2004 .

[15]  Daniel A. Levinthal,et al.  Exploration and Exploitation in Organizational Learning , 2007 .

[16]  L. Fleming,et al.  Collaborative Brokerage, Generative Creativity, and Creative Success , 2007 .

[17]  Z. Griliches.  Patent Statistics as Economic Indicators: a Survey , 1990 .

[18]  Pier Paolo Saviotti,et al.  Considerations about the Production In Competition Policy and Intellectual Property Law , 2004 .

[19]  O. Sorenson,et al.  Technology as a complex adaptive system: evidence from patent data , 2001 .

[20]  Charles J. Hughes,et al.  Telecommunications , 1987, Microprocess. Microsystems.

[21]  Jan W. Rivkin,et al.  Complexity, Networks and Knowledge Flow , 2002 .

[22]  Francesco Quatraro,et al.  Papers in Evolutionary Economic Geography # 09 . 02 Knowledge Coherence , Variety and Productivity Growth : Manufacturing Evidence from Italian Regions : , 2009 .

[23]  David C. Mowery,et al.  Paths of Innovation: Technological Change in 20th-Century America , 1998 .

[24]  Cristiano Antonelli,et al.  Localized technological change , 2003 .

[25]  D. Hicks,et al.  A Taxonomy of Small Firm Technology Commercialization , 2012 .

[26]  Andreas Pyka,et al.  Learning in innovation networks: Some simulation experiments , 2007 .

[27]  K. Frenken,et al.  Related Variety, Unrelated Variety and Regional Economic Growth , 2007 .

[28]  Pier Paolo Saviotti,et al.  Innovation Networks in Biotechnology , 2008 .

[29]  P. Saviotti.  Technological Evolution, Variety and the Economy , 1996 .

[30]  R. Katila,et al.  Something Old, Something New: A Longitudinal Study of Search Behavior and New Product Introduction , 2002 .

[31]  A. Jaffe.  Real Effects of Academic Research , 1989 .

[32]  Pier Paolo Saviotti,et al.  Information, variety and entropy in technoeconomic development☆ , 1988 .

[33]  M. Tushman,et al.  Technological Discontinuities and Organizational Environments , 1986 .

[34]  D. Consoli,et al.  The evolving knowledge base of professional service sectors , 2013 .

[35]  Martin Fransman.  Global broadband battles : why the U.S. and Europe lag while Asia leads , 2006 .

[36]  S. Winter,et al.  Understanding corporate coherence: Theory and evidence , 1994 .

[37]  Pier Paolo Saviotti,et al.  On the dynamics of generation and utilisation of knowledge: The local character of knowledge , 2007 .

[38]  M. Weitzman,et al.  Recombinant Growth , 2009 .

[39]  L. Anselin,et al.  Patents and innovation counts as measures of regional production of new knowledge , 2002 .

[40]  Jasjit Singh,et al.  Science, Social Networks and Spillovers , 2006 .

[41]  Jackie Krafft,et al.  Entry, exit and knowledge: evidence from a cluster in the info-communications , 2004 .

[42]  M. Fransman.  The telecoms boom and bust 1996-2003 and the role of financial markets , 2004 .

[43]  Alessandra Colombelli,et al.  High-growth firms and technological knowledge: do gazelles follow exploration or exploitation strategies? , 2014 .

[44]  P. Saviotti,et al.  On the Life Cycle of Knowledge Intensive Sectors , 2006 .

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

[46]  Pier Paolo Saviotti,et al.  Coherence of the Knowledge Base and the Firm's Innovative Performance: Evidence from the U.S. Pharmaceutical Industry , 2005 .

[47]  S. Klepper.  Industry Life Cycles , 1997 .

[48]  G. Dosi.  Technological Paradigms and Technological Trajectories: A Suggested Interpretation of the Determinants and Directions of Technical Change , 1982 .

[49]  Jackie Krafft,et al.  The diffusion of ADSL and costs of switching Internet providers in the broadband industry: Evidence from the French case , 2008 .

[50]  F. Quatraro,et al.  Recombinant Knowledge and Growth: The Case of ICTs , 2010 .

[51]  Markku Sotarauta,et al.  The Impact of Related Variety on Regional Employment Growth in Finland 1993–2006: High-Tech versus Medium/Low-Tech , 2012 .

[52]  Martin Fransman,et al.  Telecoms in the Internet Age: From Boom to Bust to? , 2002 .

[53]  A. Jaffe.  Technological Opportunity and Spillovers of R&D: Evidence from Firms&Apos; Patents, Profits and Market Value , 1986 .

[54]  E. C. Engelsman,et al.  A patent-based cartography of technology , 1994 .

[55]  Martin Fransman,et al.  The New Ict Ecosystem. Implications For Europe , 2007 .

[56]  F. Quatraro.  ICT capital and services complementarities: the Italian evidence , 2011 .

[57]  K. Pavitt,et al.  Patent statistics as indicators of innovative activities: Possibilities and problems , 2005, Scientometrics.

[58]  Franco Malerba,et al.  Schumpeterian patterns of innovative activity in the ICT field , 2007 .

[59]  Andreas Pyka,et al.  Innovation Networks - A Simulation Approach , 2001, J. Artif. Soc. Soc. Simul..

[60]  Mario A. Maggioni,et al.  Treating Patents as Relational Data: Knowledge Transfers and Spillovers across Italian Provinces , 2011 .

[61]  L. Nesta.  Knowledge and productivity in the world's largest manufacturing corporations , 2008 .

[62]  Deepak Hegde,et al.  Highly innovative small firms in the markets for technology , 2005 .

[63]  Jackie Krafft,et al.  Profiting in the info-coms industry in the age of broadband: Lessons and new considerations , 2010 .

[64]  M. Brachert,et al.  Related Variety, Unrelated Variety and Regional Functions: A spatial panel approach , 2013 .

[65]  Koen Frenken,et al.  Export variety and the economic performance of countries , 2008 .

[66]  Francesco Quatraro,et al.  Knowledge Coherence, Variety and economic Growth: Manufacturing Evidence from Italian Regions , 2010 .