IDEAS home Printed from https://ideas.repec.org/p/ssa/lemwps/2020-25.html
   My bibliography  Save this paper

The development of AI and its impact on business models, organization and work

Author

Listed:
  • Lucrezia Fanti
  • Dario Guarascio
  • Massimo Moggi

Abstract

This project explores the development of Artificial Intelligence (AI) and its impact on business models, market structure, organization and work. By adopting a history-friendly perspective, the present contribution traces a stylized history of the AI technological domain in order to highlight moments in time, places and sectoral domains that fostered its diffusion and transformative potential. Some descriptive analyses are also provided to investigate the diffusion of AI technologies and, at the same time, the underlying industrial and market dynamics.

Suggested Citation

  • Lucrezia Fanti & Dario Guarascio & Massimo Moggi, 2020. "The development of AI and its impact on business models, organization and work," LEM Papers Series 2020/25, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  • Handle: RePEc:ssa:lemwps:2020/25
    as

    Download full text from publisher

    File URL: http://www.lem.sssup.it/WPLem/files/2020-25.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Arianna Martinelli & Andrea Mina & Massimo Moggi, 2019. "The Enabling Technologies of Industry 4.0: Examining the Seeds of the Fourth Industrial Revolution," LEM Papers Series 2019/09, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    2. Paola Tubaro & Antonio A. Casilli, 2019. "Micro-work, artificial intelligence and the automotive industry," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 46(3), pages 333-345, September.
    3. Erik Brynjolfsson & Tom Mitchell & Daniel Rock, 2018. "What Can Machines Learn, and What Does It Mean for Occupations and the Economy?," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 43-47, May.
    4. Fabio Montobbio & Jacopo Staccioli & Maria Enrica Virgillito & Marco Vivarelli, 2020. "Robots and the origin of their labour saving impact," DISCE - Quaderni del Dipartimento di Politica Economica dipe0009, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    5. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    6. Herbert A. Simon, 1996. "The Sciences of the Artificial, 3rd Edition," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262691914, September.
    7. Dosi, Giovanni, 1993. "Technological paradigms and technological trajectories : A suggested interpretation of the determinants and directions of technical change," Research Policy, Elsevier, vol. 22(2), pages 102-103, April.
    8. Malerba, Franco & Orsenigo, Luigi, 1996. "The Dynamics and Evolution of Industries," Industrial and Corporate Change, Oxford University Press, vol. 5(1), pages 51-87.
    9. Gianluca Capone & Franco Malerba & Richard R. Nelson & Luigi Orsenigo & Sidney G. Winter, 2019. "History friendly models: retrospective and future perspectives," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 9(1), pages 1-23, March.
    10. Valeria Cirillo & Matteo Rinaldini & Jacopo Staccioli & Maria Enrica Virgillito, 2018. "Workers' intervention authority in Italian 4.0 factories: autonomy and discretion," LEM Papers Series 2018/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    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. Montobbio, Fabio & Staccioli, Jacopo & Virgillito, Maria Enrica & Vivarelli, Marco, 2020. "Robots and the origin of their labour-saving impact," MERIT Working Papers 2020-007, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    2. Cetrulo, A. & Guarascio, D. & Virgillito, M. E., 2019. "Anatomy of the Italian occupational structure: concentrated power and distributed knowledge," GLO Discussion Paper Series 418, Global Labor Organization (GLO).
    3. Krafft Jackie & Quatraro Francesco & Colombelli Alessandra, 2011. "High Growth Firms and Technological Knowledge: Do gazelles follow exploration or exploitation strategies?," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 201114, University of Turin.
    4. Rita Strohmaier & Marlies Schuetz & Simone Vannuccini, 2019. "A systemic perspective on socioeconomic transformation in the digital age," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 46(3), pages 361-378, September.
    5. 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.
    6. McGuinness, Seamus & Pouliakas, Konstantinos & Redmond, Paul, 2019. "Skills-Displacing Technological Change and Its Impact on Jobs: Challenging Technological Alarmism?," IZA Discussion Papers 12541, Institute of Labor Economics (IZA).
    7. Sam Arts & Lee Fleming, 2018. "Paradise of Novelty—Or Loss of Human Capital? Exploring New Fields and Inventive Output," Organization Science, INFORMS, vol. 29(6), pages 1074-1092, December.
    8. Khraisha, Tamer, 2020. "Complex economic problems and fitness landscapes: Assessment and methodological perspectives," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 390-407.
    9. Martin Kalthaus, 2020. "Knowledge recombination along the technology life cycle," Journal of Evolutionary Economics, Springer, vol. 30(3), pages 643-704, July.
    10. Jens Prüfer & Patricia Prüfer, 2020. "Data science for entrepreneurship research: studying demand dynamics for entrepreneurial skills in the Netherlands," Small Business Economics, Springer, vol. 55(3), pages 651-672, October.
    11. Albert Faber & Koen Frenken, 2008. "Models in evolutionary economics and environmental policy: Towards an evolutionary environmental economics," Innovation Studies Utrecht (ISU) working paper series 08-15, Utrecht University, Department of Innovation Studies, revised Apr 2008.
    12. Jason Furman & Robert Seamans, 2019. "AI and the Economy," Innovation Policy and the Economy, University of Chicago Press, vol. 19(1), pages 161-191.
    13. Sarkar, M. B. & Echambadi, Raj & Agarwal, Rajshree & Sen, Bisakha, 2002. "The "When, Where, and How" of Entrant Survival: The Effects of Knowledge Regime, Technological Intensity and Start-Up Size on New Venture Survival," Working Papers 02-0102, University of Illinois at Urbana-Champaign, College of Business.
    14. Freddi, Daniela, 2009. "The integration of old and new technological paradigms in low- and medium-tech sectors: The case of mechatronics," Research Policy, Elsevier, vol. 38(3), pages 548-558, April.
    15. Gardberg, Malin & Heyman, Fredrik & Norbäck, Pehr-Johan & Persson, Lars, 2020. "Digitization-based automation and occupational dynamics," Economics Letters, Elsevier, vol. 189(C).
    16. Tamm, Marcus, 2018. "Training and changes in job Tasks," Economics of Education Review, Elsevier, vol. 67(C), pages 137-147.
    17. 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.
    18. Aaron K. Chatterji & Kira Fabrizio, 2012. "How Do Product Users Influence Corporate Invention?," Organization Science, INFORMS, vol. 23(4), pages 971-987, August.
    19. Dosi, Giovanni & Nelson, Richard R., 2010. "Technical Change and Industrial Dynamics as Evolutionary Processes," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 51-127, Elsevier.
    20. Cerulli, Giovanni, 2014. "The Impact of Technological Capabilities on Invention: An Investigation Based on Country Responsiveness Scores," World Development, Elsevier, vol. 59(C), pages 147-165.

    More about this item

    Keywords

    Artificial intelligence; industrial dynamics; work organization;
    All these keywords.

    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:ssa:lemwps:2020/25. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (). General contact details of provider: http://edirc.repec.org/data/labssit.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.