Nothing Special   »   [go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/ete/ceswps/674605.html
   My bibliography  Save this paper

Artificial Intelligence and Industrial Innovation: Evidence from Firm-Level Data

Author

Listed:
  • Christian Rammer
  • Gastón P Fernández
  • Dirk Czarnitzki
Abstract
Artificial Intelligence (AI) represents a set of techniques that enable new ways of innovation and allows firms to offer new features of products and services, to improve production, marketing and administration processes, and to introduce new business models. This paper analyses the extent to which the use of AI contributes to the innovation performance of firms. Based on firmlevel data from the German part of the Community Innovation Survey (CIS) 2018, we examine the contribution of different AI methods and applications to product and process innovation outcomes. The representative nature of the survey allows extrapolating the findings to the macroeconomic level. The results show that 5.8% of firms in Germany were actively using AI in their business operations or products and services in 2019. The use of AI generated additional sales with world-first product innovations in these firms of about €16 billion, which corresponds to 18% of total sales of world-first innovations in the German business sector. Firms that developed AI by combining in-house and external resources obtained significantly higher innovation results. The same is true for firms that apply AI in a broad way and have already several years of experience in using AI.

Suggested Citation

  • Christian Rammer & Gastón P Fernández & Dirk Czarnitzki, 2021. "Artificial Intelligence and Industrial Innovation: Evidence from Firm-Level Data," Working Papers of Department of Economics, Leuven 674605, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    • Handle: RePEc:ete:ceswps:674605
    Note: paper number MSI_2105
    as

    Download full text from publisher

    File URL: https://lirias.kuleuven.be/retrieve/618929
    File Function: Published version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Jacques Mairesse & Pierre Mohnen, 2002. "Accounting for Innovation and Measuring Innovativeness: An Illustrative Framework and an Application," American Economic Review, American Economic Association, vol. 92(2), pages 226-230, May.
    2. Fujii, Hidemichi & Managi, Shunsuke, 2018. "Trends and priority shifts in artificial intelligence technology invention: A global patent analysis," Economic Analysis and Policy, Elsevier, vol. 58(C), pages 60-69.
    3. Philippe Aghion & Nick Bloom & Richard Blundell & Rachel Griffith & Peter Howitt, 2005. "Competition and Innovation: an Inverted-U Relationship," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(2), pages 701-728.
    4. Crepon, B. & Duguet, E. & Mairesse, J., 1998. "Research Investment, Innovation and Productivity: An Econometric Analysis at the Firm Level," Papiers d'Economie Mathématique et Applications 98.15, Université Panthéon-Sorbonne (Paris 1).
    5. Ashish Arora & Lee G. Branstetter & Matej Drev, 2013. "Going Soft: How the Rise of Software-Based Innovation Led to the Decline of Japan's IT Industry and the Resurgence of Silicon Valley," The Review of Economics and Statistics, MIT Press, vol. 95(3), pages 757-775, July.
    6. Daron Acemoglu & Claire Lelarge & Pascual Restrepo, 2020. "Competing with Robots: Firm-Level Evidence from France," AEA Papers and Proceedings, American Economic Association, vol. 110, pages 383-388, May.
    7. , & Stiebale, Joel & Woessner, Nicole, 2020. "Robots and the rise of European superstar firms," CEPR Discussion Papers 15080, C.E.P.R. Discussion Papers.
    8. Erik Brynjolfsson & Daniel Rock & Chad Syverson, 2018. "Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 23-57, National Bureau of Economic Research, Inc.
    9. Sascha Rexhäuser & Christian Rammer, 2014. "Environmental Innovations and Firm Profitability: Unmasking the Porter Hypothesis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 57(1), pages 145-167, January.
    10. Ajay Agrawal & Joshua Gans & Avi Goldfarb, 2019. "The Economics of Artificial Intelligence: An Agenda," NBER Books, National Bureau of Economic Research, Inc, number agra-1.
    11. Hal Varian, 2018. "Artificial Intelligence, Economics, and Industrial Organization," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 399-419, National Bureau of Economic Research, Inc.
    12. Ghasemaghaei, Maryam & Calic, Goran, 2019. "Does big data enhance firm innovation competency? The mediating role of data-driven insights," Journal of Business Research, Elsevier, vol. 104(C), pages 69-84.
    13. G. M.P. Swann, 2009. "The Economics of Innovation," Books, Edward Elgar Publishing, number 13211.
    14. repec:dau:papers:123456789/7127 is not listed on IDEAS
    15. Martin Obschonka & David B. Audretsch, 2019. "Artificial Intelligence and Big Data in Entrepreneurship: A New Era Has Begun," Papers 1906.00553, arXiv.org.
    16. Thomas Niebel & Fabienne Rasel & Steffen Viete, 2019. "BIG data – BIG gains? Understanding the link between big data analytics and innovation," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 28(3), pages 296-316, April.
    17. Liu, Jun & Chang, Huihong & Forrest, Jeffrey Yi-Lin & Yang, Baohua, 2020. "Influence of artificial intelligence on technological innovation: Evidence from the panel data of china's manufacturing sectors," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    18. Agrawal, Ajay & Gans, Joshua & Goldfarb, Avi (ed.), 2019. "The Economics of Artificial Intelligence," National Bureau of Economic Research Books, University of Chicago Press, number 9780226613338.
    19. Takashi Inaba & Mariagrazia Squicciarini, 2017. "ICT: A new taxonomy based on the international patent classification," OECD Science, Technology and Industry Working Papers 2017/1, OECD Publishing.
    20. Martin Obschonka & David B. Audretsch, 0. "Artificial intelligence and big data in entrepreneurship: a new era has begun," Small Business Economics, Springer, vol. 0, pages 1-11.
    21. Christian Rammer & Dirk Czarnitzki & Alfred Spielkamp, 2009. "Innovation success of non-R&D-performers: substituting technology by management in SMEs," Small Business Economics, Springer, vol. 33(1), pages 35-58, June.
    22. Iain M. Cockburn & Rebecca Henderson & Scott Stern, 2018. "The Impact of Artificial Intelligence on Innovation," NBER Working Papers 24449, National Bureau of Economic Research, Inc.
    23. Bronwyn H. Hall & Nathan Rosenberg (ed.), 2010. "Handbook of the Economics of Innovation," Handbook of the Economics of Innovation, Elsevier, edition 1, volume 1, number 1.
    24. Bruno Crepon & Emmanuel Duguet & Jacques Mairesse, 1998. "Research, Innovation And Productivity: An Econometric Analysis At The Firm Level," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 7(2), pages 115-158.
    25. Behrens, Vanessa & Berger, Marius & Hud, Martin & Hünermund, Paul & Iferd, Younes & Peters, Bettina & Rammer, Christian & Schubert, Torben, 2017. "Innovation activities of firms in Germany - Results of the German CIS 2012 and 2014: Background report on the surveys of the Mannheim Innovation Panel Conducted in the Years 2013 to 2016," ZEW Dokumentationen 17-04, ZEW - Leibniz Centre for European Economic Research.
    26. Fred Gault (ed.), 2013. "Handbook of Innovation Indicators and Measurement," Books, Edward Elgar Publishing, number 14427.
    27. Aschhoff, Birgit & Baier, Elisabeth & Crass, Dirk & Hud, Martin & Hünermund, Paul & Köhler, Christian & Peters, Bettina & Rammer, Christian & Schricke, Esther & Schubert, Torben & Schwiebacher, Franz, 2013. "Innovation in Germany - Results of the German CIS 2006 to 2010. Background report on the Innovation Surveys 2007, 2009 and 2011 of the Mannheim Innovation Panel," ZEW Dokumentationen 13-01, ZEW - Leibniz Centre for European Economic Research.
    28. Cohen, Wesley M., 2010. "Fifty Years of Empirical Studies of Innovative Activity and Performance," 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 129-213, Elsevier.
    29. Wamba, Samuel Fosso & Gunasekaran, Angappa & Akter, Shahriar & Ren, Steven Ji-fan & Dubey, Rameshwar & Childe, Stephen J., 2017. "Big data analytics and firm performance: Effects of dynamic capabilities," Journal of Business Research, Elsevier, vol. 70(C), pages 356-365.
    30. Stefano Baruffaldi & Brigitte van Beuzekom & Hélène Dernis & Dietmar Harhoff & Nandan Rao & David Rosenfeld & Mariagrazia Squicciarini, 2020. "Identifying and measuring developments in artificial intelligence: Making the impossible possible," OECD Science, Technology and Industry Working Papers 2020/05, OECD Publishing.
    31. Brousseau Eric & Penard Thierry, 2007. "The Economics of Digital Business Models: A Framework for Analyzing the Economics of Platforms," Review of Network Economics, De Gruyter, vol. 6(2), pages 1-34, June.
    32. Bersch, Johannes & Gottschalk, Sandra & Müller, Bettina & Niefert, Michaela, 2014. "The Mannheim Enterprise Panel (MUP) and firm statistics for Germany," ZEW Discussion Papers 14-104, ZEW - Leibniz Centre for European Economic Research.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cho, Jaehan & DeStefano, Timothy & Kim, Hanhin & Kim, Inchul & Paik, Jin Hyun, 2023. "What's driving the diffusion of next-generation digital technologies?," Technovation, Elsevier, vol. 119(C).
    2. Rammer, Christian, 2022. "Measuring process innovation output: Results from firm-level panel data," ZEW Discussion Papers 22-002, ZEW - Leibniz Centre for European Economic Research.
    3. Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2023. "Artificial intelligence and firm-level productivity," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 188-205.
    4. Rammer, Christian & Krieger, Bastian & Peters, Bettina, 2022. "Studie zu den Treibern und Hemmnissen der Innovationstätigkeit im deutschen Mittelstand," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, number 270421.
    5. Alessandro Sterlacchini, 2022. "AI Patenting and Employment: Evidence from the World's Top R&D Investors," Working Papers 462, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    6. Davide Antonioli & Alberto Marzucchi & Francesco Rentocchini & Simone Vannuccini, 2022. "Robot Adoption and Innovation Activities (last revised: December 2023)," Munich Papers in Political Economy 21, Munich School of Politics and Public Policy and the School of Management at the Technical University of Munich.
    7. Matheus Eduardo Leusin, 2022. "The Development of Al in Multinational Enterprises - Effects upon Technological Trajectories and Innovation Performance," Bremen Papers on Economics & Innovation 2201, University of Bremen, Faculty of Business Studies and Economics.

    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. Rammer, Christian & Fernández, Gastón P. & Czarnitzki, Dirk, 2022. "Artificial intelligence and industrial innovation: Evidence from German firm-level data," Research Policy, Elsevier, vol. 51(7).
    2. Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2023. "Artificial intelligence and firm-level productivity," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 188-205.
    3. Stephane Lhuillery & Julio Raffo & Intan Hamdan-Livramento, 2016. "Measuring creativity: Learning from innovation measurement," WIPO Economic Research Working Papers 31, World Intellectual Property Organization - Economics and Statistics Division.
    4. Bettina Peters & Rebecca Riley & Iulia Siedschlag & Priit Vahter & John McQuinn, 2014. "Innovation and Productivity in Services: Evidence from Germany, Ireland and the United Kingdom," JRC Working Papers on Corporate R&D and Innovation 2014-04, Joint Research Centre.
    5. Barge-Gil, Andrés & López, Alberto, 2014. "R&D determinants: Accounting for the differences between research and development," Research Policy, Elsevier, vol. 43(9), pages 1634-1648.
    6. Venturini, Francesco, 2022. "Intelligent technologies and productivity spillovers: Evidence from the Fourth Industrial Revolution," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 220-243.
    7. Baumann, Julian & Kritikos, Alexander S., 2016. "The link between R&D, innovation and productivity: Are micro firms different?," Research Policy, Elsevier, vol. 45(6), pages 1263-1274.
    8. Wadho, Waqar & Chaudhry, Azam, 2020. "Innovation Strategies and Productivity Growth in Developing Countries: Evidence from Pakistan," GLO Discussion Paper Series 466, Global Labor Organization (GLO).
    9. MARSCHINSKI Robert & DE AMORES HERNANDEZ Antonio & AMOROSO Sara & BAUER Peter & CARDANI Roberta & CSEFALVAY Zoltan & GENTY Aurelien & GKOTSIS Petros & GREGORI Wildmer & GRASSANO Nicola & HERNANDEZ GUE, 2021. "EU competitiveness: recent trends, drivers, and links to economic policy: A Synthesis Report," JRC Research Reports JRC123232, Joint Research Centre.
    10. Grazia Cecere & Sascha Rexhäuser & Patrick Schulte, 2019. "From less promising to green? Technological opportunities and their role in (green) ICT innovation," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 28(1), pages 45-63, January.
    11. Behrens, Vanessa & Berger, Marius & Hud, Martin & Hünermund, Paul & Iferd, Younes & Peters, Bettina & Rammer, Christian & Schubert, Torben, 2017. "Innovation activities of firms in Germany - Results of the German CIS 2012 and 2014: Background report on the surveys of the Mannheim Innovation Panel Conducted in the Years 2013 to 2016," ZEW Dokumentationen 17-04, ZEW - Leibniz Centre for European Economic Research.
    12. Rammer, Christian & Es-Sadki, Nordine, 2023. "Using big data for generating firm-level innovation indicators - a literature review," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    13. Kopka, Alexander & Grashof, Nils, 2022. "Artificial intelligence: Catalyst or barrier on the path to sustainability?," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    14. Andrés Barge-Gil & Alberto López, 2015. "R versus D: estimating the differentiated effect of research and development on innovation results," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 24(1), pages 93-129.
    15. Masahito Ambashi, 2017. "Competition Effects and Industrial Productivity: Lessons from Japanese Industry," Asian Economic Papers, MIT Press, vol. 16(3), pages 212-249, Fall.
    16. Amin,Mohammad, 2021. "Does Competition from Informal Firms Impact R&D by Formal SMEs ? Evidence Using Firm-Level Survey Data," Policy Research Working Paper Series 9868, The World Bank.
    17. Peters, Bettina & Roberts, Mark J. & Vuong, Van Anh, 2022. "Firm R&D investment and export market exposure," Research Policy, Elsevier, vol. 51(10).
    18. Antonelli Cristiano & Colombelli Alessandra, 2013. "Knowledge cumulability and complementarity in the knowledge generation function," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201305, University of Turin.
    19. Janger, Jürgen & Schubert, Torben & Andries, Petra & Rammer, Christian & Hoskens, Machteld, 2017. "The EU 2020 innovation indicator: A step forward in measuring innovation outputs and outcomes?," Research Policy, Elsevier, vol. 46(1), pages 30-42.
    20. Köhler, Christian, 2014. "Bargaining in vertical relationships and suppliers' R&D profitability," ZEW Discussion Papers 14-087, ZEW - Leibniz Centre for European Economic Research.

    More about this item

    Keywords

    Artificial Intelligence; Innovation; CIS data; Germany;
    All these keywords.

    JEL classification:

    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

    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:ete:ceswps:674605. 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: library EBIB (email available below). General contact details of provider: https://feb.kuleuven.be/Economics/ .

    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.