IDEAS home Printed from https://ideas.repec.org/p/csc/ircrwp/201804.html
   My bibliography  Save this paper

Le tecnologie di Industria 4.0 e le PMI/Technologies of Industry 4.0 and SMEs

Author

Abstract

This paper concerns a study on the next production revolution called Industry 4.0 based on confluence of various technologies, mainly digital, with far reaching consequences especially for productivity and employment. This study considers the implementation of Industry 4.0 in SMEs and industrial districts that represent a great part of Italian industry. The latter represents certainly a major challenge to such implementation because of the existence of various obstacles constituted by availability of investment capitals, small scale productions and tendency to develop and to adopt only incremental innovations rather than radical ones typical of Industry 4.0. In this work we study the technologies involved in Industry 4.0, taking account of existence of specific technologies, called enabling technologies, whose confluence in the manufacturing industry determines the implementation of Industry 4.0. Such enabling technologies originate from the major fields of R&D activities such as nanotechnologies, biotechnologies, digital technologies and artificial intelligence (AI). In this paper we study the dynamic and possible evolution characterizing the formation of the various enabling technologies in a sort of ramification process, using specific models of technology, technology innovation and R&D, and their relation with manufacturing in SMEs and industrial districts. The results of the study underlines the importance of AI in determining possibilities and limits to Industry 4.0, the necessity to disrupt the tendency of SMEs in adopting only incremental innovations, the existence of “intranality effects” raising difficulties from the supply chain, and the importance of technology consulting firms in the integration of ICT in operating technologies of a manufacturing activity.

Suggested Citation

  • Angelo Bonomi, 2018. "Le tecnologie di Industria 4.0 e le PMI/Technologies of Industry 4.0 and SMEs," IRCrES Working Paper 201804, CNR-IRCrES Research Institute on Sustainable Economic Growth - Moncalieri (TO) ITALY - former Institute for Economic Research on Firms and Growth - Torino (TO) ITALY.
    • Handle: RePEc:csc:ircrwp:201804
    as

    Download full text from publisher

    File URL: http://www.ircres.cnr.it/images/wp/WP_04_2018.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Auerswald, Philip & Kauffman, Stuart & Lobo, Jose & Shell, Karl, 2000. "The production recipes approach to modeling technological innovation: An application to learning by doing," Journal of Economic Dynamics and Control, Elsevier, vol. 24(3), pages 389-450, March.
    2. Angelo Bonomi, 2017. "A mathematical toy model of R&D process. How this model may be useful in studying territorial development," IRCrES Working Paper 201706, CNR-IRCrES Research Institute on Sustainable Economic Growth - Moncalieri (TO) ITALY - former Institute for Economic Research on Firms and Growth - Torino (TO) ITALY.
    3. Monique Girard & David Stark, 2001. "Distributing Intelligence and Organizing Diversity in New Media Projects," Working Papers 01-12-082, Santa Fe Institute.
    4. Secondo Rolfo & Angelo Bonomi, 2014. "Coopération pour l'innovation au niveau local : un exemple italien de succès," Innovations, De Boeck Université, vol. 0(2), pages 57-77.
    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. Grillitsch, Markus & Asheim, Björn & Fünfschilling, Lea & Kelmenson, Sophie & Lowe, Nichola & Lundquist, Karl Johan & Mahmoud, Yahia & Martynovich, Mikhail & Mattson, Pauline & Miörner, Johan & Nilsso, 2023. "Rescaling: An Analytical Lense to Study Economic and Industrial Shifts," Papers in Innovation Studies 2023/11, Lund University, CIRCLE - Centre for Innovation Research.
    2. Andergassen, Rainer & Nardini, Franco & Ricottilli, Massimo, 2006. "Innovation waves, self-organized criticality and technological convergence," Journal of Economic Behavior & Organization, Elsevier, vol. 61(4), pages 710-728, December.
    3. Massimo Ricottilli, 2006. "Constraints and Freedom of Action: a fitness trade-off," Working Papers 580, Dipartimento Scienze Economiche, Universita' di Bologna.
    4. Marcus Berliant & Masahisa Fujita, 2008. "Knowledge Creation As A Square Dance On The Hilbert Cube," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 49(4), pages 1251-1295, November.
    5. Karén Hovhannissian & Marco Valente, 2004. "Modeling Directed Local Search Strategies on Technology Landscapes: Depth and Breadth," ROCK Working Papers 028, Department of Computer and Management Sciences, University of Trento, Italy, revised 17 Jun 2008.
    6. Philip Auerswald, 2010. "Entry and Schumpeterian profits," Journal of Evolutionary Economics, Springer, vol. 20(4), pages 553-582, August.
    7. Giovanni Dosi & Richard Nelson, 2013. "The Evolution of Technologies: An Assessment of the State-of-the-Art," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 3(1), pages 3-46, June.
    8. Frenken, Koen, 2006. "A fitness landscape approach to technological complexity, modularity, and vertical disintegration," Structural Change and Economic Dynamics, Elsevier, vol. 17(3), pages 288-305, September.
    9. Clancy, Matthew, 2015. "Combinatorial Innovation and Research Strategies: Theoretical Framework and Empirical Evidence from Two Centuries of Patent Data," Staff General Research Papers Archive 38400, Iowa State University, Department of Economics.
    10. Marengo, Luigi & Valente, Marco, 2010. "Industry dynamics in complex product spaces: An evolutionary model," Structural Change and Economic Dynamics, Elsevier, vol. 21(1), pages 5-16, March.
    11. Andres Gomez-Lievano & Oscar Patterson-Lomba, 2018. "Estimating the drivers of urban economic complexity and their connection to economic performance," Papers 1812.02842, arXiv.org, revised Sep 2021.
    12. Stanislao Gualdi & Antoine Mandel, 2019. "Endogenous growth in production networks," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 91-117, March.
    13. Angelo Bonomi, 2017. "A technological model of the R&D process and its implications with scientific research and socio-economic activities," IRCrES Working Paper 201702, CNR-IRCrES Research Institute on Sustainable Economic Growth - Moncalieri (TO) ITALY - former Institute for Economic Research on Firms and Growth - Torino (TO) ITALY.
    14. Koen Frenken & Alessandro Nuvolari, 2004. "The early development of the steam engine: an evolutionary interpretation using complexity theory," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 13(2), pages 419-450, April.
    15. Koen Frenken & Alessandro Nuvolari, 2004. "Entropy statistics as a framework to analyse technological evolution," Chapters, in: John Foster & Werner Hölzl (ed.), Applied Evolutionary Economics and Complex Systems, chapter 5, Edward Elgar Publishing.
    16. Della Seta, Marco & Gryglewicz, Sebastian & Kort, Peter M., 2012. "Optimal investment in learning-curve technologies," Journal of Economic Dynamics and Control, Elsevier, vol. 36(10), pages 1462-1476.
    17. Valente Houhannisian, 2004. "Modeling Directod Local Search Strategies on Technology Landscapes and Breadth," Quaderni DISA 091, Department of Computer and Management Sciences, University of Trento, Italy, revised 17 Jun 2008.
    18. Mauro Caminati, 2012. "Self sustaining R&D networks," Department of Economics University of Siena 653, Department of Economics, University of Siena.
    19. Hezekiah Agwara & Philip Auerswald & Brian Higginbotham, 2013. "Algorithms and the Changing Frontier," NBER Chapters, in: The Changing Frontier: Rethinking Science and Innovation Policy, pages 371-410, National Bureau of Economic Research, Inc.
    20. Strumsky, Deborah & Lobo, José, 2015. "Identifying the sources of technological novelty in the process of invention," Research Policy, Elsevier, vol. 44(8), pages 1445-1461.

    More about this item

    Keywords

    Industry 4.0; SMEs; industrial districts; technology innovation;
    All these keywords.

    JEL classification:

    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O25 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Industrial Policy
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ircrwp:201804. 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.