nach oben

Erschienen in:

2021 | OriginalPaper | Buchkapitel

The Value of Industry Studies: Impact of Luigi Orsenigo’s Legacy on the Field of Innovation and Industry Evolution

verfasst von : Junguo Shi, Bert M. Sadowski

Erschienen in: Innovation, Catch-up and Sustainable Development

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

New solutions in artificial intelligence and machine learning require researchers to study, in greater depth, the nature, and dynamics of emerging industries like biotechnology or pharmaceuticals. With his pioneering work, Luigi Orsenigo has demonstrated, in great detail, how new technologies create technological opportunities, change appropriability conditions, and cumulativeness in these emerging industries. Rooted in the evolutionary economics tradition, this approach is better suited in explaining the patterns of innovation, technological change, and the growth in very dynamic industries. In this context, our article reviews the evidence of Luigi Orsenigo’s contribution to the economics of innovation, to the tradition of history-friendly models, and to the discussion on the sectoral system of innovation. It concludes by pointing at some unresolved questions in these traditions and new fruitful alleys for future researchers.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Observable Factors of Innovation Strategy: Firm Activities and Industry Effects

Nächstes Kapitel National innovation systems, economic complexity, and economic growth: country panel analysis using the US patent data

In Luigi Orsenigo’s lifelong academic research, he developed theory and methodologies with his co-authors. We use the term legacy to discuss his contribution to the academy through the joint works.

System of innovation is oriented toward the macro level, and the Mode 2 argument is concerned almost exclusively with the conditions for the organization and production of knowledge.

Barbanti, P., Gambardella, A., & Orsenigo, L. (1999). The evolution of collaborative relationships among firms in biotechnology. International Journal of Biotechnology, 1(1), 10–29.CrossRef

Bottazzi, G., Dosi, G., & Rocchetti, G. (2001). Modes of knowledge accumulation, entry regimes and patterns of industrial evolution. Industrial and Corporate Change, 10(3), 609–638.CrossRef

Brenner, T., & Murmann, J. P. (2003). The use of simulations in developing robust knowledge about causal processes: Methodological considerations and an application to industrial evolution. In Computing in economics and Finance. Society for Computational Economics.

Breschi, S., Malerba, F., & Orsenigo, L. (2000). Technological regimes and Schumpeterian patterns of innovation. The Economic Journal, 110(463), 388–410.CrossRef

Bruno, G. S., & Orsenigo, L. (2003). Variables influencing industrial funding of academic research in Italy: An empirical analysis. International Journal of Technology Management, 26(2–4), 277–302.CrossRef

Buvailo, A. (2018). How big pharma adopts AI to boost drug discovery. BiopharmaTrend.com 8 October 2018.

Capone, G., Malerba, F., & Orsenigo, L. (2013). Are switching costs always effective in creating first-mover advantage? The moderating role of demand and technological regimes. Long Range Planning, 46(4–5), 348–368.CrossRef

Castellacci, F. (2008). Technological paradigms, regimes and trajectories: Manufacturing and service industries in a new taxonomy of sectoral patterns of innovation. Research Policy, 37(6–7), 978–994.CrossRef

Cefis, E., & Orsenigo, L. (2001). The persistence of innovative activities: A cross-countries and cross-sectors comparative analysis. Research Policy, 30(7), 1139–1158.CrossRef

Dosi, G. (1982). Technological paradigms and technological trajectories: A suggested interpretation of the determinants and directions of technical change. Research Policy, 11(3), 147–162.CrossRef

Dosi, G., Fagiolo, G., & Roventini, A. (2006). An evolutionary model of endogenous business cycles. Computational Economics, 27(1), 3–34.CrossRef

Dosi, G., & Malerba, F. (2018). In memory of a friend and distinguished scholar: Luigi Orsenigo (1954–2018). Economia e Politica Industriale, 45(2), 109–109.CrossRef

Dosi, G., Malerba, F., Marsili, O., & Orsenigo, L. (1997). Industrial structures and dynamics: Evidence, interpretations and puzzles. Industrial and Corporate Change, 6(1), 3–24.CrossRef

Dosi, G., Malerba, F., & Orsenigo, L. (1994). Evolutionary regimes and industrial dynamics. In Evolutionary and neo-Schumpeterian approaches to economics (pp. 203–229). Springer.CrossRef

Dosi, G., Marsili, O., Orsenigo, L., & Salvatore, R. (1995). Learning, market selection and the evolution of industrial structures. Small Business Economics, 7(6), 411–436.CrossRef

Fagiolo, G., & Dosi, G. (2003). Exploitation, exploration and innovation in a model of endogenous growth with locally interacting agents. Structural Change and Economic Dynamics, 14(3), 237–273.CrossRef

Fontana, R., Guerzoni, M., & Nuvolari, A. (2008). Habakkuk revisited: A history friendly model of American and British technology in the nineteenth century (No. 2008, 064). Jena economic research papers.

Fontana, R., & Zirulia, L. (2015). “… then came Cisco, and the rest is history”: A ‘history friendly’ model of the Local Area Networking industry. Journal of Evolutionary Economics, 25(5), 875–899.CrossRef

Garavaglia, C. (2010). Modelling industrial dynamics with “history-friendly” simulations. Structural Change & Economic Dynamics, 21(4), 258–275.CrossRef

Garavaglia, C., Malerba, F., Orsenigo, L., & Pezzoni, M. (2012). Technological regimes and demand structure in the evolution of the pharmaceutical industry. Journal of Evolutionary Economics, 22(4), 677–709.CrossRef

Giachetti, C., & Marchi, G. (2017). Successive changes in leadership in the worldwide mobile phone industry: The role of windows of opportunity and firms’ competitive action. Research Policy, 46(2), 352–364.CrossRef

Guo, L., Zhang, M. Y., Dodson, M., & Gann, D. (2019). Huawei’s catch-up in the global telecommunication industry: Innovation capability and transition to leadership. Technology Analysis & Strategic Management, 31(12), 1395–1411.CrossRef

Hung, S. C., Liu, J. S., Lu, L. Y., & Tseng, Y. C. (2014). Technological change in lithium iron phosphate battery: The key-route main path analysis. Scientometrics, 100(1), 97–120.CrossRef

Jacob, M., & Orsenigo, L. (2007). Leveraging Science for innovation: Swedish policy for university-industry collaboration 1990–2005, SNS Förlag Report.

Kim, C. W., & Lee, K. (2003). Innovation, technological regimes and organizational selection in industry evolution: A ‘history friendly model’ of the DRAM industry. Industrial and Corporate Change, 12(6), 1195–1221.CrossRef

Landini, F., Lee, K., & Malerba, F. (2017). A history-friendly model of the successive changes in industrial leadership and the catch-up by latecomers. Research Policy, 46(2), 431–446.CrossRef

Landini, F., & Malerba, F. (2017). Public policy and catching up by developing countries in global industries: A simulation model. Cambridge Journal of Economics, 41(3), 927–960.CrossRef

Lee, K. R. (1996). The role of user firms in the innovation of machine tools: The Japanese case. Research Policy, 25, 491–507.CrossRef

Lee, K., & Lim, C. (2001). Technological regimes, catching-up and leapfrogging: Findings from the Korean industries. Research Policy, 30(3), 459–483.CrossRef

Lee, K., & Malerba, F. (2017). Catch-up cycles and changes in industrial leadership: Windows of opportunity and responses of firms and countries in the evolution of sectoral systems. Research Policy, 46(2), 338–351.CrossRef

Li, D., Capone, G., & Malerba, F. (2019). The long march to catch-up: A history-friendly model of China’s mobile communications industry. Research Policy, 48(3), 649–664.CrossRef

Mäkinen, S. J., & Vilkko, M. K. (2014). Product portfolio decision-making and absorptive capacity: A simulation study. Journal of Engineering and Technology Management, 32, 60–75.CrossRef

Malerba, F. (2005). Sectoral systems of innovation: A framework for linking innovation to the knowledge base, structure and dynamics of sectors. Economics of Innovation and New Technology, 14(1–2), 63–82.CrossRef

Malerba, F. (2007). Innovation and the dynamics and evolution of industries: Progress and challenges. International Journal of Industrial Organization, 25(4), 675–699.CrossRef

Malerba, F. (2011). Modelling innovation and the evolution of industries: History-friendly models. Presentation in GLOBELICS ACADEMY.

Malerba, F., & Mani, S. (2009). Sectoral systems of innovation and production in developing countries: Actors, structure and evolution. Edward Elgar Publishing.CrossRef

Malerba, F., Nelson, R., Orsenigo, L., & Winter, S. (1999). ‘History-friendly’ models of industry evolution: The computer industry. Industrial and Corporate Change, 8(1), 3–40.CrossRef

Malerba, F., Nelson, R., Orsenigo, L., & Winter, S. (2008). Public policies and changing boundaries of firms in a “history-friendly” model of the co-evolution of the computer and semiconductor industries. Journal of Economic Behavior & Organization, 67(2), 355–380.CrossRef

Malerba, F., Nelson, R., Orsenigo, L., & Winter, S. (2016). Innovation and the evolution of industries-history-friendly models. Cambridge University Press.CrossRef

Malerba, F., & Orsenigo, L. (1993). Technological regime and firm behaviour. Industrial and Corporate Change, 2, 45–71.CrossRef

Malerba, F., & Orsenigo, L. (1995). Schumpeterian patterns of innovation. Cambridge Journal of Economics, 19(1), 47–65.

Malerba, F., & Orsenigo, L. (1996). Schumpeterian patterns of innovation are technology-specific. Research Policy, 25(3), 451–478.CrossRef

Malerba, F., & Orsenigo, L. (1997). Technological regimes and sectoral patterns of innovative activities. Industrial and Corporate Change, 6(1), 83–118.CrossRef

Malerba, F., & Orsenigo, L. (1999). Technological entry, exit and survival: An empirical analysis of patent data. Research Policy, 28(6), 643–660.CrossRef

Malerba, F., & Orsenigo, L. (2000). Knowledge, innovative activities and industrial evolution. Industrial and Corporate Change, 9(2), 289–314.CrossRef

Malerba, F., & Orsenigo, L. (2002). Innovation and market structure in the dynamics of the pharmaceutical industry and biotechnology: Towards a history-friendly model. Industrial and Corporate Change, 11(4), 667–703.CrossRef

Malerba, F., & Orsenigo, L. (2008). User-producer relationships, innovation and the evolution of two related industries, paper presented at the DIME Conference on Innovation and Industrial Dynamics, Bocconi University, Milan, 2008.

Malerba, F., & Orsenigo, L. (2010). User–producer relations, innovation and the evolution of market structures under alternative contractual regimes. Structural Change and Economic Dynamics, 21(1), 26–40.CrossRef

Malerba, F., Orsenigo, L., & Peretto, P. (1997). Persistence of innovative activities, sectoral patterns of innovation and international technological specialization. International Journal of Industrial Organization, 15(6), 801–826.CrossRef

McKelvey, M., & Orsenigo, L. (2006). The economics of biotechnology (Vol. 198). Edward Elgar.

Nelson, R. R. (1982). The role of knowledge in R&D efficiency. Quarterly Journal of Economics, 93, 453–470.CrossRef

Nelson, R. R., & Winter, S. (1982). An evolutionary theory of economic change. Harvard University Press.

OECD Publishing. (2009). The bioeconomy to 2030: Designing a policy agenda. Organisation for Economic Co-operation and Development.CrossRef

Orsenigo, L. (1989a). Institutions and markets in the dynamics of industrial innovation: The theory and the case of biotechnology. Thesis, .

Orsenigo, L. (1989b). The emergence of biotechnology: Institutions and markets in industrial innovation. Pinter Publishers Ltd..

Orsenigo, L. (2007). History-friendly models of industrial evolution. In H. Hanusch & A. Pyka (Eds.), Elgar companion to neo-schumpeterian economics. Edward Elgar Publishing Limited.

Orsenigo, L., Pammolli, F., & Riccaboni, M. (2001). Technological change and network dynamics: Lessons from the pharmaceutical industry. Research Policy, 30(3), 485–508.CrossRef

Orsenigo, L., Pammolli, F., Riccaboni, M., Bonaccorsi, A., & Turchetti, G. (1998). The evolution of knowledge and the dynamics of an industry network. Journal of Management & Governance, 1(2), 147–175.CrossRef

Rosiello, A., & Orsenigo, L. (2008). A critical assessment of regional innovation policy in pharmaceutical biotechnology. European Planning Studies, 16(3), 337–357.CrossRef

Silverberg, G., Dosi, G., & Orsenigo, L. (1988). Innovation, diversity and diffusion: A self-organisation model. The Economic Journal, 98(393), 1032–1054.CrossRef

Tesfatsion, L. (2001). Introduction to the special issue on agent-based computational economics. Journal of Economic Dynamics and Control, 25(3–4), 281–293.CrossRef

Verspagen, B. (2007). Mapping technological trajectories as patent citation networks: A study on the history of fuel cell research. Advances in Complex Systems, 10(01), 93–115.CrossRef

Winter, S. G., Kaniovski, Y. M., & Dosi, G. (2000). Modeling industrial dynamics with innovative entrants. Structural Change and Economic Dynamics, 11(3), 255–293.CrossRef

Yoon, M. (2009). A History-friendly model on the relationship between NISs and performances in frontier industries of Korea and Taiwan. In: 2009 Convention of the Korean Association of Technology Economics and Management.

Yoon, M., & Lee, K. (2009). Agent-based and “history-friendly” models for explaining industrial evolution. Evolutionary and Institutional Economics Review, 6(1), 45–70.CrossRef

Yu, P., Shi, J., Sadowsk, B., & Nomaler, Ö. (2020). Catching up in the face of technological discontinuity: Exploring the role of demand structure and technological regimes in the transition from 2G to 3G in China. Journal of Evolutionary Economics. https://doi.org/10.1007/s00191-020-00673-9

Titel: The Value of Industry Studies: Impact of Luigi Orsenigo’s Legacy on the Field of Innovation and Industry Evolution
verfasst von: Junguo Shi
Bert M. Sadowski
Verlag: Springer International Publishing
Buch: Innovation, Catch-up and Sustainable Development
Print ISBN: 978-3-030-84930-6

Electronic ISBN: 978-3-030-84931-3

Copyright-Jahr: 2021
DOI: https://doi.org/10.1007/978-3-030-84931-3_5

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Wirtschaft"

Springer Professional "Technik"

Premium Partner