SCIENTIFIC RESEARCH ANALYSIS OF SECTORAL INNOVATION SYSTEMS by Joao Aguirre

PICMET 2012

SCIENTIFIC RESEARCH ANALYSIS OF SECTORAL INNOVATION SYSTEMS Author: Joao Aguirre Ramirez Control Engineer, MSc. PhD(c) Ing.joao@gmail.com 2

CONTENTS Introduction 1. Problem Definition 2. Development Methodology 3. Evolution over time 4. Leading Authors 5. Leading Countries 6. Referenced Author 7. Conclusions and Future Work 8. References 1

2 Problem Definition

3 Development Methodology

4 Evolution over time

5 Leading Authors

6 Leading Countries

7 Referenced Author

8 Conclusions and Future Work

References

INTRODUCTION

Sectoral Innovation System (SIS)

Structural and functional design

Innovation

(Malerba, 2002, 2004, 2009), (Malerba & Vonortas, 2009), Carlsson 1994, Coenen 2002, Asheim 2008, Miyasaky 2009, Orsenigo 2004 Wixted (2009), Maskell (2001), Tushman (1997-1998), Liu y Wang (2003), Teece (1997), Dosi, et al (2000), Nelson y Winter (1982)

Freman (1982), Nelson (2004), Lundvall (1992), Dosi (2000) Niosi, Saviotti, Bellon, y Crow (1993), Conceição, Heitor, y Lundvall, (2003), Carlsson (2006), Ulrich, Ramer, y Leguer (2006), ………….. Schumpeter (2002), Freeman (1982), Lall (1992), Bell y Pavitt (1993, 1995), Kim (1997), OCDE 2005, Guan y Ma (2003), (Djellal et al. 1999; Sanpedro 2003; Romijn y Albaladejo, 2002; Freeman y Pérez (1985) ………

INTRODUCTION Argument

Justification

A sector is a set of activities that are unified by some related product group for a given or emerging demand and that share some basic knowledge. The SIS a sectoral innovation system is a set of products of which agents perform market interactions for the creation, production and sale of specialized products (Breschi & Malerba, 1997)

The SIS demands special attention daily because of its complexity as each sector of the economy behaves differently in the market; according to their needs and dynamics of evolution. These agents are people or organizations involved in the productive sector, whose interactions are governed by their opinions, objectives, reputations, etc.

Increased Competitiveness

SIS

involves

Relationship Dynamics Strategies and policies Career Development Wixted, 2009

Co-evolution

In economic theory, refers to the simultaneous evolution of economic activities and natural environment. (Nelson & Winter, 1982)

National Innovation System (NIS)

Many governments have developed policies and programs focused on financial support for innovative companies as a strategic response to the economic and financial crisis to restore the long-term growth and create a sustainable economic future. In this sense there is the notion of National Innovation System (NIS) as an interactive model of knowledge, creation and use in which the various actors participate, involved in the production and technological development. Freman (1982), Nelson (2004

Studies in this direction are used to propose mechanisms of policy and strategy to generate public and private actions to improve performance and economic and social development of sectoral systems. 5

Scientific Research Analysis of Sectoral Innovation Systems 11

2 Problem Definition

3 Development Methodology

4 Evolution over time

Characteristics of SSI: • It has no geographic boundaries • Dynamic Complexity • Large scale problem • Collective Intelligence • Limited Rationality • Cooperation Theory • Cooperative effects long periods • Depends on the Economy • Different natural conditions • Dynamics of relationship • Homogeneity business line • (Specialty Products) • Segmented regulation • Speed of technological change ----------------------------------------------Sectorally uneven development Cultural clashes and values Lack of trust between actors Few public policy participation

5 Leading Authors

6 Leading Countries

7 Referenced Author

8 Conclusions and Future Work

References

Scientific – Academic What is the evolution of sectoral systems of innovation in academic and scientific references?

Text

Problem

When analyzing the dynamics of technological innovation systems, we identified a number of researchers and analysts that have conducted empirical studies of innovation systems in order to understand its current structure and proposed development dynamics, and they repeatedly argued that literature analyzes this phenomenon from different perspectives like growth processes, relationships and networks, learning systems, politics and more.

Conceptual 66

Scientific Research Analysis of Sectoral Innovation Systems 1

2 Problem Definition

3 Development Methodology

4 Evolution over time

5 Leading Authors

6 Leading Countries

7 Referenced Author

8 Conclusions and Future Work

References

DEVELOPMENT METHODOLOGY Academic studies often experience difficulties in extracting relevant information to identify the state of the art and process of evolution of such studies. For this reason, the present paper shows an analytical approach based on Technological Intelligence to analyze the dynamics of emergence and evolution of the SIS, from a practical scheme of analysis supported by scientific literature, not only to identify influential elements of research in this area, but also to establish different relationships with other topics of current research interest, identifying the state of the art, and leading authors and institutions related to SIS.

First , we proceeded with a keyword analysis, Research is the bibliometric analysis. Identify the relevance of the criteria used in the study and showed search filters to use in relevant databases

This is also important to identify the main topics in which are interested the SIS authors, thus providing an overview of the fields where SIS find application. The SIS demand special attention daily because of its complexity, as each sector of the economy behaves differently in the market, according to their needs (Malerba 2004)

Scientific Research Analysis of Sectoral Innovation Systems 1

2 Problem Definition

3 Development Methodology

4 Evolution over time

5 Leading Authors

6 Leading Countries

7 Referenced Author

8 Conclusions and Future Work

References

Exploration within a heuristic framework for analyzing and explaining the different patterns of evolution in the scientific literature of the SSI. Scopus, Science Direct, Academic Search Complete, Business Source Complete, General Science Full Text, SpringerLink. Nov. 2011

Ing. Joao Aguirre Ramirez MSc.

Scientific Research Analysis of Sectoral Innovation Systems 1

2 Problem Definition

3 Development Methodology

4 Evolution over time

5 Leading Authors

6 Referenced Author

7 Leading Countries

8 Conclusions and Future Work

References

Etexbarria, G.

Storper, M

Soete, L.

Saxenian, A.-L.

Kemp, R.E.

Leading Countries

Howells, M.J.

Gerlter, M.S.

Patel, P.

Levinthal, D.A.

Feldman, M.P.

Referenced Author

Etkowitz, H.

Verspagen, B.

Smith, K.R.

Stankievitz, R.

Rosenberg, N.

Rickne, A.

Leading Authors

Asheim, B.T.

Heindenreich, M.

Heidelberg, J.S.

Malmberg, A.

Audretsch, D.B.

Evolution over time

Maskell, P.

Orsenigo, L.

Brazyck, H. J.

Winter, S.G.

Breschi, S.

Jacobsson, S.A.

Development Methodology

Fagerberg, J.

Johnson, B.

Carlsson, B.

Porter, M.E.

Pavitt, K.L.R.

Problem Definition

Cooke, P.

Edquist, C.

Dosi G.

Nelson R.R

Lundvall, B.

Malerba F.

Scientific Research Analysis of Sectoral Innovation Systems 8

Conclusions and Future Work References

Scientific Research Analysis of Sectoral Innovation Systems 1

2 Problem Definition

3 Development Methodology

4 Evolution over time

5 Leading Authors

6 Referenced Author

7 Leading Countries

8 Conclusions and Future Work

References

Scientific Research Analysis of Sectoral Innovation Systems 1

2 Problem Definition

3 Development Methodology

4 Evolution over time

5 Leading Authors

6 Referenced Author

7 Leading Countries

8 Conclusions and Future Work

References

Scientific Research Analysis of Sectoral Innovation Systems 1

2 Problem Definition

3 Development Methodology

4 Evolution over time

5 Leading Authors

6 Referenced Author

7 Leading Countries

8 Conclusions and Future Work

References

Scientific Research Analysis of Sectoral Innovation Systems 1

2 Problem Definition

3 Development Methodology

4 Evolution over time

5 Leading Authors

6 Referenced Author

7 Leading Countries

8 Conclusions and Future Work

References

Scientific Research Analysis of Sectoral Innovation Systems 1

2 Problem Definition

3 Development Methodology

4 Evolution over time

5 Leading Authors

6 Leading Countries

7 Referenced Author

8 Conclusions and Future Work

References

Conclusions and Future Work The presented work presents a review of the state of the art of SSI, which shows the growing academic interest in addressing this issue and its practical application in different sectors, as evidenced in studies of the last five years there have been several ways to approach the subject from multiple perspectives. By one hand, This study highlights well the differences between countries, institutions and lead authors, as the lead author of many publications related to the subject, Professor Bjorn Asheim, University of Lund in Sweden, while the author with Most references is Franco Malerba Professor at Bocconi University in Italy. By the other hand the country with the largest number of scientific papers in the area is the United Kingdom, and surprisingly the institution with the largest number of publications is the University of Eindhoven in the Netherlands. Although it is noteworthy that the mainly current research is dominated by Europe.

From the above data one can conclude that there is currently a research group that is dominant in the subject, otherwise it may show that the interest of research in this area is broken down by different parts of the world, although it is worth noted that the anchor institution, a pioneer and a higher level of relationship is the University of Sussex in the UK. Analyzing the networks of authors, countries and institutions can highlight the high level of relationship that exist when there is uniformity of language or even a geographical proximity, generating a series of invisible barriers to entry in countries with a language different from the English one, because there are evident nodes working in an isolated way such as the francophones, and Latin American groups.

Scientific Research Analysis of Sectoral Innovation Systems 1

2 Problem Definition

3 Development Methodology

4 Evolution over time

5 Leading Authors

6 Leading Countries

7 Referenced Author

8 Conclusions and Future Work

References

Conclusions and Future Work The theoretical concept is the main pillar made to generate a rigorous approach to the issues of sectoral innovation, creating a close relationship of the respective agents, structure, processes, relationships, coordinated manner, providing an argument to the growing interest in developing research in this direction.

Analyzing the networks of authors, countries and institutions can highlight the high level of relationship that exist when there is uniformity of language or even a geographical proximity, generating a series of invisible barriers to entry in countries with a language different from the English one, because there are evident nodes working in an isolated way such as the francophone, and Latin American groups

Scientific Research Analysis of Sectoral Innovation Systems

REFERENCES • Albino, V., Carbonara, N., & Giannoccaro, I. (2006). Innovation in industrial districts: An agent-based simulation model. International Journal of Production Economics, 104(1), 30–45. doi:10.1016/j.ijpe.2004.12.023 • Aldebert, B., Dang, R. J., & Longhi, C. (2011). Innovation in the tourism industry: The case of Tourism@. Tourism Management, 32(5), 1204–1213. • Aldebert, Bénédicte, Dang, R. J., & Longhi, C. (2011). Innovation in the tourism industry: The case of Tourism@. Tourism Management, 32(5), 1204– 1213. doi:doi: 10.1016/j.tourman.2010.08.010 • Aoki, M. (2011). Institutions as cognitive media between strategic interactions and individual beliefs. Journal of Economic Behavior & Organization, 79, 20–34. • Asheim, B. T., & Coenen, L. (2005). Knowledge bases and regional innovation systems: Comparing Nordic clusters. Research Policy, 34(8), 1173–1190. doi:10.1016/j.respol.2005.03.013 • Balaguer, A., & Marinova, D. (2006). Sectoral transformation in the photovoltaics industry in Australia, Germany and Japan: Contrasting the coevolution of actors, knowledge, institutions and markets. Prometheus, 24(3), 323–339. • Beerepoot, M., & Beerepoot, N. (2007). Government regulation as an impetus for innovation: Evidence from energy performance regulation in the Dutch residential building sector. Energy Policy, 35(10), 4812–4825. • Bergek, A., Jacobsson, S., Carlsson, B., Lindmark, S., & Rickne, A. (2008). Analyzing the functional dynamics of technological innovation systems: A scheme of analysis. Research Policy, 37(3), 407–429. doi:doi: 10.1016/j.respol.2007.12.003 • Berkers, E., & Geels, F. W. (2011). System innovation through stepwise reconfiguration: The case of technological transitions in Dutch greenhouse horticulture (1930-1980). Technology Analysis and Strategic Management, 23(3), 227–247. • Bottazzi, G., Dosi, G., Fagiolo, G., & Secchi, A. (2008). Sectoral and geographical specificities in the spatial structure of economic activities. Structural Change and Economic Dynamics, 19(3), 189–202. doi:doi: 10.1016/j.strueco.2007.05.002 • Breschi, S., & Malerba, F. (1997). Sectoral Innovation system: Technological regimes, shumpeterian dynamics, and spatial boundaries. Systems of Innovation:Tecnology, Institutions and organizations, 130–156. • Carlsson, B. (2006). Internationalization of innovation systems: A survey of the literature. Research Policy, 35(1), 56–67. doi:10.1016/j.respol.2005.08.003 • Chapple, K., Kroll, C., William Lester, T., & Montero, S. (2011). Innovation in the green economy: An extension of the regional innovation system model? Economic Development Quarterly, 25(1), 5–25. • Chung, S. (2002). Building a national innovation system through regional innovation systems. Technovation, 22(8), 485–491. • Coenen, L., & Díaz López, F. J. (2010). Comparing systems approaches to innovation and technological change for sustainable and competitive economies: An explorative study into conceptual commonalities, differences and complementarities. Journal of Cleaner Production, 18(12), 1149–1160.

• •

• • • • • • • • • • • •

• • • • • • •

Coenen, L., Moodysson, J., Ryan, C., Asheim, B., & Phillips, P. (2006). Comparing a pharmaceutical and an agro-food bioregion: On the importance of knowledge bases for socio-spatial patterns of innovation. Industry and Innovation, 13(4), 393–414. Coenen, Lars, & Díaz López, F. J. (2010). Comparing systems approaches to innovation and technological change for sustainable and competitive economies: an explorative study into conceptual commonalities, differences and complementarities. Journal of Cleaner Production, 18(12), 1149–1160. doi:doi: 10.1016/j.jclepro.2010.04.003 Conceição, P., Heitor, M. V., & Lundvall, B.-Å. (2003). Innovation, competence building, and social cohesion in Europe : towards a learning society. Cheltenham, UK; Northhampton, MA: Edward Elgar. Cowan, R., Sanditov, B., & Weehuizen, R. (2011). Productivity effects of innovation, stress and social relations. Journal of Economic Behavior & Organization, 79(3), 165–182. doi:10.1016/j.jebo.2011.01.028 Cusmano, L., Morrison, A., & Rabellotti, R. (2010). Catching up trajectories in the wine sector: A comparative study of Chile, Italy, and South Africa. World Development, 38(11), 1588–1602. Dalziel, M. (2007). A systems-based approach to industry classification. Research Policy, 36(10), 1559–1574. Davis, J., & Eissenhardt, K. (2007). Developing Theory Through Simulation Methods. Academy of M anagement Review, pp. 480–499. De-Haan, S., & Juárez, H. (2010). Land use and potato genetic resources in Huancavelica, central Peru. Journal of Land Use Science, 5(3), 179–195. Edquist, C., & Hommen, L. (1999). Systems of innovation: theory and policy for the demand side. Technology in Society, 21(1), 63–79. doi:10.1016/S0160791X(98)00037-2 Elsner, W., & Heinrich. (2009). A simple theory of ‘meso’. On the co-evolution of institutions and platform size—With an application to varieties of capitalism and ‘medium-sized’ countries. The Journal of Socio-Economics, 38, 843 – 858. Freeman, C. (1987). National systems of innovation: the case of Japan technolog y policy and economics performance. London: Pinter. Freeman, & Soete, L. (2009). Developing science, technology and innovation indicators: What we can learn from the past. Research Policy, 38(4), 583–589. doi:10.1016/j.respol.2009.01.018 Geels, F. (2004). From sectoral systems of innovation to socio-technical systems: Insights about dynamics and change from sociology and institutional theory. Research Policy, 33(6-7), 897–920. Gilsing, V., & Nooteboom, B. (2006). Exploration and exploitation in innovation systems: The case of pharmaceutical biotechnology. Research Policy, 35(1), 1– 23. Gutiérrez de Mesa, E., & Muñoz, E. (2007). Foresight on biopharmaceuticals: Designing foresight methods for Spanish biopharmaceuticals. Technological Forecasting and Social Change, 74(3), 281–297. Klincewicz, K., & Miyazaki, K. (2006). Software sectoral systems of innovation in Asia. Empirical analysis of industry-academia relations. ICMIT 2006 Proceedings - 2006 IEEE International Conference on Management of Innovation and Technology, 2006 IEEE International Conference on Management of Innovation and Technology, ICMIT 2006 (Vol. 1, pp. 494–498). Singapore. Klincewicz, K., & Miyazaki, K. (2011). Sectoral systems of innovation in Asia. The case of software research activities. International Journal of Technology Management, 53(2-4), 161–189. Kristinsson, K., & Rao, R. (2008). Interactive learning or technology transfer as a way to catch-up? Analysing the wind energy industry in Denmark and India. Industry and Innovation, 15(3), 297–320. Lundvall, B.-Å., Johnson, B., Andersen, E. S., & Dalum, B. (2002). National systems of production, innovation and competence building. Research Policy, 31(2), 213–231. doi:doi: 10.1016/S0048-7333(01)00137-8 Malerba, F. (2002). Sectoral systems of innovation and production. Research Policy, 31(2), 247–264. doi:10.1016/S0048-7333(01)00139-1 Malerba, F. (2004). Sectoral Systems of Innovation Concepts, Issues and Analyses of Six Major Sectors in Europe. Cambridge: Cambridge University Press. Recuperado a partir de http://dx.doi.org/10.1017/CBO9780511493270

• • • • • • • • • • • • • • • • • • • • • • •

Malerba, F., & Vonortas, N. (2009). Innovation Networks in Industries. UK: MPG Books Group. Maskell, P. (2001). Towards a knowledge-based theory of the geographical cluster. Ind Corp Change, 10, 921–943. Metcalfe, S. (1992). The Economic Foundation of Technology Policy. Equilibrium and Evolutionary Perspectives. University of Manch- ester, Manchester. Metcalfe, S. (2004). Policy for Innovation. ESRC Centre for Research on Innovation and Competition. University of Manch- ester, Manchester. Miozzo, M., & Yamin, M. (2012). Institutional and sectoral determinants of headquarters-subsidiary relationships: A study of UK service multinationals in China, Korea, Brazil and Argentina. Long Range Planning, 45(1), 16–40. Miyazaki, K., & Islam, N. (2007). Nanotechnology systems of innovation—An analysis of industry and academia research activities. Technovation, 27(11), 661–675. doi:doi: 10.1016/j.technovation.2007.05.009 Nelson, R. (1996). National Innovation Syst ems: A retrospective on a Study. en Organitation and Strategy in the Evolution of Enterprise. Ed. Dosi y Malerba. Niosi, J., Saviotti, P., Bellon, B., & Crow, M. (1993). National systems of innovation: in search of a workable concept. Technology in Society, 15(2), 207–227. doi:10.1016/0160-791X(93)90003-7 North, D. (1990). Institutions, Institutional Change and Economic Performance. Cambridge University Press,, Cambridge, UK and NY. North, D. . (2005). Understanding the Process of Economic Change. Princeton University Press, Princeton, NJ. North, D., Wallis, J. ., & Weingast, B. . (2009). Violence and Social Order: A Conceptual Framework for Interpreting Recorded Human History. Cambridge University Press, Cambridge, UK and NY. Oliveira, C., & Antunes, C. H. (2011). A multi-objective multi-sectoral economy–energy–environment model: Application to Portugal. Energy, 36(5), 2856–2866. doi:doi: 10.1016/j.energy.2011.02.028 Oltra, V., & Saint Jean, M. (2009). Sectoral systems of environmental innovation: An application to the French automotive industry. Technological Forecasting and Social Change, 76(4), 567–583. Perianes-Rodríguez, A., Olmeda-Gómez, C., Ovalle-Perandones, M. A., Chinchilla-Rodríguez, Z., & Moya-Anegón, F. (2011). R&D collaboration in 50 major Spanish companies. Aslib Proceedings: New Information Perspectives, 63(1), 5–27. Pitt, C., & Nelle, S. (2008). Applying a sectoral system of innovation (SSI) approach to the Australian red meat industry with implications for improving innovation and entrepreneurship in the Australian agrifood industry. International Food and Agribusiness Management Review, 11(4), 1–24. Rametsteiner, E., & Weiss, G. (2006). Assessing policies from a systems perspecitve — Experiences with applied innovation systems analysis and implications for policy evaluation. Forest Policy and Economics, 8(5), 564–576. doi:10.1016/j.forpol.2005.07.005 Rezazadeh Mehrizi, M. H., & Pakneiat, M. (2008). Comparative analysis of Sectoral Innovation System and Diamond Model (The case of telecom sector of Iran). Journal of Technology Management and Innovation, 3(3), 78–90. Robledo, J., Aguilar, J. J., & Pérez, J. D. (2011). Methodological Tool for Measurement and Assessment of Technological Innovation Capabilities. Presentado en PICMET, Portland (ORE), USA: Portland State University. Rogge, K. S., & Hoffmann, V. H. (2010). The impact of the EU ETS on the sectoral innovation system for power generation technologies - Findings for Germany. Energy Policy, 38(12), 7639–7652. doi:doi: DOI: 10.1016/j.enpol.2010.07.047 Sapsed, J., Grantham, A., & DeFillippi, R. (2007). A bridge over troubled waters: Bridging organisations and entrepreneurial opportunities in emerging sectors. Research Policy, 36(9), 1314–1334. Sarma, M., & Krishna, V. V. (2010). State and the software: Public policies in the shaping of the Indian software sector. Service Industries Journal, 30(1), 25–42. Scheel, C., & Pineda, L. (2011). Building Industrial Clusters in Latin America: paddling upstream. International Journal Of Sociotechnology And Knowledge Development, 3, 34 – 54. Seliger, G. (2001). Product Innovation – Industrial Approach. CIRP Annals - Manufacturing Technology, 50(2), 425–443. doi:10.1016/S0007-8506(07)62989-8

• • • • • • • • • • • •

Smith, K. (2000). Innovation as a systemic phenomenon: rethinking the role of policy. Enterprise and Innovation Management Studies 1, 73–102. Soete, L., Verspagen, B., & ter Weel, B. (2010). Chapter 27 - Systems of Innovation. Handbook of the Economics of Innovation, Volume 2 (Vol. Volume 2, pp. 1159–1180). North-Holland. Recuperado a partir de http://www.sciencedirect.com/science/article/pii/S0169721810020113 Sterman, J. (2000). Business dynamics: Systems thinking and modeling for a complex world. New York: Irwin McGraw-Hill. Ulrich, D. (2009). Technological innovations and sectoral change: Transformative capacity, adaptability, patterns of change: An analytical framework. Research Policy, 38(6), 1066–1076. doi:10.1016/j.respol.2009.03.006 Ulrich, D., Ramer, C., & Leguer, H. (2006). National Systems of Innovation in comparation: Structure and Performance Indicators for Knowledge Societies. Springer. Vale, M., & Caldeira, J. (2008). Fashion and the governance of knowledge in a traditional industry: The case of the footwear sectoral innovation system in the northern region of portugal. Economics of Innovation and New Technology, 17(1), 61–78. Warf, B. (1995). Telecommunications and the changing geographies of knowledge transmission in the late 20th century. Urban Studies, 32(2), 361–378. Wirth, S., & Markard, J. (2011). Context matters: How existing sectors and competing technologies affect the prospects of the Swiss Bio-SNG innovation system. Technological Forecasting and Social Change, 78(4), 635–649. Wixted, B. (2009). Innovation System Frontiers : Cluster Networks and Global Value. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg. Xi, L., Lei, L., & Wu, G. (2009). Evolution of the Chinese automobile industry from a sectoral system of innovation perspective. Industry and Innovation, 16(4-5), 463–478. Xin, C. (2009). Industry convergence and the transformation of the mobile communications system of innovation. 2009 2nd International Conference on Future Information Technology and Management Engineering, FITME 2009 (pp. 588–591). Sanya. Yoon-Zi, K., & Lee, K. (2008). Sectoral innovation system and a technological Catch-Up: The case of the capital goods industry in Korea. Global Economic Review, 37(2), 135–155.

Colombia

Thank you Joao Aguirre RamĂrez Ing.joao@gmail.com