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Big data and firm-level productivity: A cross-country comparison

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  • Andres, Raphaela
  • Niebel, Thomas
  • Sack, Robin

Abstract

Until today, the question of how digitalisation and, in particular, individual digital technologies affect productivity is still the subject of controversial debate. Using administrative firm-level data provided by the Dutch and the German statistical offices, we investigate the economic importance of data, in particular, the effect of the application of big data analytics (BDA) on labour productivity (LP) at the firm level. We find that a simple binary measure indicating the mere usage of BDA fails to capture the effect of BDA on LP. In contrast, measures of BDA intensity clearly show a positive and statistically significant relationship between BDA and LP, even after controlling for a firm's general digitalisation level.

Suggested Citation

  • Andres, Raphaela & Niebel, Thomas & Sack, Robin, 2024. "Big data and firm-level productivity: A cross-country comparison," ZEW Discussion Papers 24-053, ZEW - Leibniz Centre for European Economic Research.
  • Handle: RePEc:zbw:zewdip:300678
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    1. Erik Brynjolfsson & Daniel Rock & Chad Syverson, 2021. "The Productivity J-Curve: How Intangibles Complement General Purpose Technologies," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(1), pages 333-372, January.
    2. Raffaele Conti & Miguel Godinho de Matos & Giovanni Valentini, 2024. "Big Data Analytics, Firm Size, and Performance," Strategy Science, INFORMS, vol. 9(2), pages 135-151, June.
    3. 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).
    4. 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).
    5. Stefanie Haller & Iulia Siedschlag, 2011. "Determinants of ICT adoption: evidence from firm-level data," Applied Economics, Taylor & Francis Journals, vol. 43(26), pages 3775-3788.
    6. Nicholas Bloom & Raffaella Sadun & John Van Reenen, 2012. "Americans Do IT Better: US Multinationals and the Productivity Miracle," American Economic Review, American Economic Association, vol. 102(1), pages 167-201, February.
    7. Criscuolo, Chiara & Andrews, Dan & Gal, Peter N., 2019. "The best versus the rest: divergence across firms during the global productivity slowdown," LSE Research Online Documents on Economics 103405, London School of Economics and Political Science, LSE Library.
    8. Avi Goldfarb & Catherine Tucker, 2019. "Digital Economics," Journal of Economic Literature, American Economic Association, vol. 57(1), pages 3-43, March.
    9. Erik Brynjolfsson & Wang Jin & Kristina McElheran, 2021. "The power of prediction: predictive analytics, workplace complements, and business performance," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 56(4), pages 217-239, October.
    10. Duso, Tomaso & Nardotto, Mattia & Schiersch, Alexander, 2025. "Broadband and productivity: Structural estimates for Germany," Journal of Economic Behavior & Organization, Elsevier, vol. 237(C).
    11. Rodepeter, Elisa & Gschnaidtner, Christoph & Hottenrott, Hanna, 2023. "Big data and start-up performance," ZEW Discussion Papers 23-061, ZEW - Leibniz Centre for European Economic Research.
    12. Bertschek Irene & Briglauer Wolfgang & Hüschelrath Kai & Kauf Benedikt & Niebel Thomas, 2015. "The Economic Impacts of Broadband Internet: A Survey," Review of Network Economics, De Gruyter, vol. 14(4), pages 201-227, December.
    13. Sagit Bar-Gill & Erik Brynjolfsson & Nir Hak, 2024. "Helping Small Businesses Become More Data-Driven: A Field Experiment on eBay," Management Science, INFORMS, vol. 70(11), pages 7345-7372, November.
    14. Bart van Ark, 2016. "The Productivity Paradox of the New Digital Economy," International Productivity Monitor, Centre for the Study of Living Standards, vol. 31, pages 3-18, Fall.
    15. Nicoletti, Giuseppe & von Rueden, Christina & Andrews, Dan, 2020. "Digital technology diffusion: A matter of capabilities, incentives or both?," European Economic Review, Elsevier, vol. 128(C).
    16. Diamond, Peter A., 1971. "A model of price adjustment," Journal of Economic Theory, Elsevier, vol. 3(2), pages 156-168, June.
    17. Erik Brynjolfsson & Lorin M. Hitt, 2000. "Beyond Computation: Information Technology, Organizational Transformation and Business Performance," Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 23-48, Fall.
    18. Federico Biagi, 2013. "ICT and Productivity: A Review of the Literature," JRC Working Papers on Digital Economy 2013-09, Joint Research Centre.
    19. Nicolas Crouzet & Janice Eberly, 2018. "Intangibles, Investment, and Efficiency," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 426-431, May.
    20. Robert J. Gordon, 2012. "Is U.S. Economic Growth Over? Faltering Innovation Confronts the Six Headwinds," NBER Working Papers 18315, National Bureau of Economic Research, Inc.
    21. Anderton, Robert & Jarvis, Valerie & Labhard, Vincent & Morgan, Julian & Petroulakis, Filippos & Vivian, Lara, 2020. "Virtually everywhere? Digitalisation and the euro area and EU economies," Occasional Paper Series 244, European Central Bank.
    22. Fabienne Rasel, 2016. "Combining Information Technology and Decentralized Workplace Organization: SMEs versus Larger Firms," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 23(2), pages 199-241, July.
    23. Nicholas Crafts, 2018. "The productivity slowdown: is it the ‘new normal’?," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 34(3), pages 443-460.
    24. Erik Brynjolfsson & Danielle Li & Lindsey Raymond, 2025. "Generative AI at Work," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 140(2), pages 889-942.
    25. Peter Gal & Giuseppe Nicoletti & Theodore Renault & Stéphane Sorbe & Christina Timiliotis, 2019. "Digitalisation and productivity: In search of the holy grail – Firm-level empirical evidence from EU countries," OECD Economics Department Working Papers 1533, OECD Publishing.
    26. Nils Grashof & Alexander Kopka, 2023. "Artificial intelligence and radical innovation: an opportunity for all companies?," Small Business Economics, Springer, vol. 61(2), pages 771-797, August.
    27. Daniel A. Ackerberg & Kevin Caves & Garth Frazer, 2015. "Identification Properties of Recent Production Function Estimators," Econometrica, Econometric Society, vol. 83, pages 2411-2451, November.
    28. Anderton, Robert & Botelho, Vasco & Reimers, Paul, 2023. "Digitalisation and productivity: gamechanger or sideshow?," Working Paper Series 2794, European Central Bank.
    29. Daron Acemoglu & Gary Anderson & David Beede & Catherine Buffington & Eric Childress & Emin Dinlersoz & Lucia Foster & Nathan Goldschlag & John Haltiwanger & Zachary Kroff & Pascual Restrepo & Nikolas, 2023. "Advanced Technology Adoption: Selection or Causal Effects?," AEA Papers and Proceedings, American Economic Association, vol. 113, pages 210-214, May.
    30. Martin Borowiecki & Jon Pareliussen & Daniela Glocker & Eun Jung Kim & Michael Polder & Iryna Rud, 2021. "The impact of digitalisation on productivity: Firm-level evidence from the Netherlands," OECD Economics Department Working Papers 1680, OECD Publishing.
    31. David Gierten & Steffen Viete & Raphaela Andres & Thomas Niebel, 2021. "Firms going digital: Tapping into the potential of data for innovation," OECD Digital Economy Papers 320, OECD Publishing.
    32. Lynn Wu & Lorin Hitt & Bowen Lou, 2020. "Data Analytics, Innovation, and Firm Productivity," Management Science, INFORMS, vol. 66(5), pages 2017-2039, May.
    33. 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.
    34. Hall, B.H., 2011. "Innovation and productivity," MERIT Working Papers 2011-028, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    35. Cirillo, Valeria & Fanti, Lucrezia & Mina, Andrea & Ricci, Andrea, 2023. "The adoption of digital technologies: Investment, skills, work organisation," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 89-105.
    36. Kristina McElheran & J. Frank Li & Erik Brynjolfsson & Zachary Kroff & Emin Dinlersoz & Lucia Foster & Nikolas Zolas, 2024. "AI adoption in America: Who, what, and where," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 33(2), pages 375-415, March.
    37. Lynn Wu & Bowen Lou & Lorin Hitt, 2019. "Data Analytics Supports Decentralized Innovation," Management Science, INFORMS, vol. 65(10), pages 4863-4877, October.
    38. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(2), pages 317-341.
    39. Babina, Tania & Fedyk, Anastassia & He, Alex & Hodson, James, 2024. "Artificial intelligence, firm growth, and product innovation," Journal of Financial Economics, Elsevier, vol. 151(C).
    40. Jorgenson, Dale W., 2005. "Accounting for Growth in the Information Age," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 10, pages 743-815, Elsevier.
    41. Cátia Cerqueira & Fernando Alexandre & Miguel Portela, 2023. "Digitalization: the edge of first movers," NIPE Working Papers 11/2023, NIPE - Universidade do Minho.
    42. Flavio Calvino & Luca Fontanelli, 2024. "AI Users Are Not All Alike: The Characteristics of French Firms Buying and Developing AI," CESifo Working Paper Series 11466, CESifo.
    43. Erik Brynjolfsson & Kristina McElheran, 2016. "The Rapid Adoption of Data-Driven Decision-Making," American Economic Review, American Economic Association, vol. 106(5), pages 133-139, May.
    44. Duso, Tomaso & Schiersch, Alexander, 2025. "Let's switch to the cloud: Cloud usage and its effect on labor productivity," Information Economics and Policy, Elsevier, vol. 70(C).
    45. Bertschek, Irene & Kesler, Reinhold, 2022. "Let the user speak: Is feedback on Facebook a source of firms’ innovation?," Information Economics and Policy, Elsevier, vol. 60(C).
    46. Flavio Calvino & Jelmer Reijerink & Lea Samek, 2025. "The effects of generative AI on productivity, innovation and entrepreneurship," OECD Artificial Intelligence Papers 39, OECD Publishing.
    47. Ian Goldin & Pantelis Koutroumpis & François Lafond & Julian Winkler, 2024. "Why Is Productivity Slowing Down?," Journal of Economic Literature, American Economic Association, vol. 62(1), pages 196-268, March.
    48. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
    49. Robert Anderton & Vasco Botelho & Paul Reimers, 2023. "Digitalisation and productivity: gamechanger or sideshow?," Discussion Papers 2023-05, University of Nottingham, GEP.
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    JEL classification:

    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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