IDEAS home Printed from https://ideas.repec.org/p/csc/cerisp/200109.html
   My bibliography  Save this paper

Partnerships Technology Transfer-Based: Theory and Methodology for Analysing the Process

Author

Abstract

This article examines the technology transfer-based partnerships between public research organisations (sources of knowledge, innovation and technology) and users (firms, public administrations, etc.) as dynamic processes for a mutual learning. This process can provide for the R&D organisations an increased capacity of technology transfer and self-financing, while for firms an enhancing in competitiveness.This paper makes suggestions to researchers for studying strategy process and describes some methodologies, called longitudinal studies, that show as the patterns evolve over time.A theoretical framework and a case study in biomedical innovation (from Van de Ven and Garud, 1993) are presented

Suggested Citation

  • Mario Coccia, 2001. "Partnerships Technology Transfer-Based: Theory and Methodology for Analysing the Process," CERIS Working Paper 200109, CNR-IRCrES Research Institute on Sustainable Economic Growth - Torino (TO) ITALY - former Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY.
    • Handle: RePEc:csc:cerisp:200109
    as

    Download full text from publisher

    File URL: https://www.byterfly.eu/islandora/object/librib:364874
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Van Reenen, John, 1997. "Employment and Technological Innovation: Evidence from U.K. Manufacturing Firms," Journal of Labor Economics, University of Chicago Press, vol. 15(2), pages 255-284, April.
    2. David Blanchflower & Simon Burgess, 1998. "New Technology And Jobs: Comparative Evidence From A Two Country Study," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 5(2-4), pages 109-138.
    3. Jakob Klette & Svein Erik Førre, 1998. "Innovation And Job Creation In A Smallopen Economy-Evidence From Norwegian Manufacturing Plants 1982-92," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 5(2-4), pages 247-272.
    4. Labini, Paolo Sylos, 1990. "Technical progress, unemployment, and economic dynamics," Structural Change and Economic Dynamics, Elsevier, vol. 1(1), pages 41-55, June.
    5. Brouwer, Erik & Kleinknecht, Alfred & Reijnen, Jeroen O N, 1993. "Employment Growth and Innovation at the Firm Level," Journal of Evolutionary Economics, Springer, vol. 3(2), pages 153-159, May.
    6. Vivarelli, Marco & Evangelista, Rinaldo & Pianta, Mario, 1996. "Innovation and employment in Italian manufacturing industry," Research Policy, Elsevier, vol. 25(7), pages 1013-1026, October.
    7. Davies, Stephen & Lyons, Bruce, 1996. "Industrial Organization in the European Union: Structure, Strategy, and the Competitive Mechanism," OUP Catalogue, Oxford University Press, number 9780198289739, Decembrie.
    8. Marco Vivarelli, 1995. "The Economics of Technology and Employment," Books, Edward Elgar Publishing, number 458.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Marina Di Giacomo, 2000. "The Employment Effects of Innovation. Evidence from a Sample of Italian Manufacturing Firms," CERIS Working Paper 200009, CNR-IRCrES Research Institute on Sustainable Economic Growth - Torino (TO) ITALY - former Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY.
    2. Horst Feldmann, 2013. "Technological unemployment in industrial countries," Journal of Evolutionary Economics, Springer, vol. 23(5), pages 1099-1126, November.
    3. Vivarelli, Marco, 2012. "Innovation, Employment and Skills in Advanced and Developing Countries: A Survey of the Literature," IZA Discussion Papers 6291, Institute of Labor Economics (IZA).
    4. Francesco Bogliacino & Mariacristina Piva & Marco Vivarelli, 2011. "The impact of R&D on employment in Europe: A firm-level analysis," DISCE - Quaderni del Dipartimento di Scienze Economiche e Sociali dises1176, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    5. Francesco Bogliacino & Mariacristina Piva & Marco Vivarelli, 2011. "The impact of R&D on employment in Europe: A firm-level analysis," DISCE - Quaderni del Dipartimento di Scienze Economiche e Sociali dises1176, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    6. Francesco Bogliacino & Mariacristina Piva & Marco Vivarelli, 2014. "Technology and employment: the job creation effect of business R&D," Rivista Internazionale di Scienze Sociali, Vita e Pensiero, Pubblicazioni dell'Universita' Cattolica del Sacro Cuore, vol. 122(3), pages 239-264.
    7. Flavio Calvino & Maria Enrica Virgillito, 2018. "The Innovation†Employment Nexus: A Critical Survey Of Theory And Empirics," Journal of Economic Surveys, Wiley Blackwell, vol. 32(1), pages 83-117, February.
    8. L. Aldieri & C. P. Vinci, 2018. "Innovation effects on employment in high-tech and low-tech industries: evidence from large international firms within the triad," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 8(2), pages 229-243, June.
    9. Bogliacino, Francesco & Piva, Mariacristina & Vivarelli, Marco, 2011. "R&D and Employment: Some Evidence from European Microdata," IZA Discussion Papers 5908, Institute of Labor Economics (IZA).
    10. Francesco Bogliacino & Marco Vivarelli, 2012. "The Job Creation Effect Of R&D Expenditures," Australian Economic Papers, Wiley Blackwell, vol. 51(2), pages 96-113, June.
    11. Mariacristina Piva & Marco Vivarelli, 2005. "Innovation and Employment: Evidence from Italian Microdata," Journal of Economics, Springer, vol. 86(1), pages 65-83, October.
    12. Harrison, Rupert & Jaumandreu, Jordi & Mairesse, Jacques & Peters, Bettina, 2014. "Does innovation stimulate employment? A firm-level analysis using comparable micro-data from four European countries," International Journal of Industrial Organization, Elsevier, vol. 35(C), pages 29-43.
    13. Heijs, Joost & Arenas Díaz, Guillermo & Vergara Reyes, Delia Margarita, 2019. "Impact of innovation on employment in quantitative terms: review of empirical literature based on microdata," MPRA Paper 95326, University Library of Munich, Germany.
    14. Massimiliano Agovino & Luigi Aldieri & Antonio Garofalo & Concetto Paolo Vinci, 2018. "R&D spillovers and employment: evidence from European patent data," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 45(2), pages 247-260, May.
    15. Luca VOTA, 2022. "Employment Impact Of Firms' Innovation: What Is The Role Of Regional Institutions? Evidence From Italy," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(2), pages 11-24, June.
    16. Di Cintio, Marco & Ghosh, Sucharita & Grassi, Emanuele, 2017. "Firm growth, R&D expenditures and exports: An empirical analysis of italian SMEs," Research Policy, Elsevier, vol. 46(4), pages 836-852.
    17. Tsvetkova, Alexandra & Thill, Jean-Claude & Conroy, Tessa, 2016. "Firm patenting activity, metropolitan innovative environment and their effects on business survival in a high-tech industry," MPRA Paper 75783, University Library of Munich, Germany.
    18. Ramiro de Elejalde & David Giuliodori & Rodolfo Stucchi, 2015. "Employment and Innovation: Firm-Level Evidence from Argentina," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 51(1), pages 27-47, January.
    19. Alex Coad & Rekha Rao, 2011. "The firm-level employment effects of innovations in high-tech US manufacturing industries," Journal of Evolutionary Economics, Springer, vol. 21(2), pages 255-283, May.
    20. Francesco Bogliacino & Marco Vivarelli, 2011. "Innovation and employment: Some evidence from European sectors," DISCE - Quaderni del Dipartimento di Scienze Economiche e Sociali dises1178, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).

    More about this item

    JEL classification:

    • B40 - Schools of Economic Thought and Methodology - - Economic Methodology - - - General
    • C89 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other
    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:csc:cerisp:200109. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Anna Perin or Giancarlo Birello (email available below). General contact details of provider: https://edirc.repec.org/data/cerisit.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.