IDEAS home Printed from https://ideas.repec.org/p/rif/wpaper/72.html
   My bibliography  Save this paper

Data Markets in Making: The Role of Technology Giants

Author

Listed:
  • Koski, Heli
  • Pantzar, Mika

Abstract

This paper focuses on the role of large technology companies’ entry and expansion to the data-intensive market areas via their technological development and strategic acquisitions of companies. We analyze the evolvement of personal data related innovation in various data-intensive domains. We find that the ideas related to personal data are increasingly protected by patents. The growth in the numbers of personal data related patents was relatively modest from 2005 to the early 2010s, but it has intensified since 2011. Large technology companies’ entry to various new market areas is reflected in an exponential increase in patent applications particularly in the artificial intelligence domain. Furthermore, we find that the number of artificial intelligence/data analytics companies acquired by the data giants has escalated during the 2010s. Patent and acquisition data further echo technology giants’ intentions to expand their activities into the financial and personal health services. Overall, the data show the data giants’ buyouts are frequently targeted to companies active in the markets outside their core business. Our analysis illustrates how the divergencies in the data giants’ innovation activities and strategic acquisitions have led them to each conquer their specific areas of dominance in the global markets for data.

Suggested Citation

  • Koski, Heli & Pantzar, Mika, 2019. "Data Markets in Making: The Role of Technology Giants," ETLA Working Papers 72, The Research Institute of the Finnish Economy.
    • Handle: RePEc:rif:wpaper:72
    as

    Download full text from publisher

    File URL: https://www.etla.fi/wp-content/uploads/ETLA-Working-Papers-72.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Avi Goldfarb & Catherine Tucker, 2019. "Digital Economics," Journal of Economic Literature, American Economic Association, vol. 57(1), pages 3-43, March.
    2. Thomas Philippon, 2016. "The FinTech Opportunity," NBER Working Papers 22476, National Bureau of Economic Research, Inc.
    3. 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.
    4. Galasso, Alberto & Schankerman, Mark, 2015. "Patents and cumulative innovation: causal evidence from the courts," LSE Research Online Documents on Economics 61614, London School of Economics and Political Science, LSE Library.
    5. Dietmar Harhoff & Francis Narin & F. M. Scherer & Katrin Vopel, 1999. "Citation Frequency And The Value Of Patented Inventions," The Review of Economics and Statistics, MIT Press, vol. 81(3), pages 511-515, August.
    6. 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, August.
    7. Koski, Heli & Luukkonen, Juha, 2018. "Investor Attention and Technology Salience: Does Personal Data Related Innovation Boost Firm Value?," ETLA Working Papers 59, The Research Institute of the Finnish Economy.
    8. Alberto Galasso & Mark Schankerman, 2015. "Patents and Cumulative Innovation: Causal Evidence from the Courts," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(1), pages 317-369.
    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. Koski, Heli & Kässi, Otto & Braesemann, Fabian, 2020. "Killers on the Road of Emerging Start-ups – Implications for Market Entry and Venture Capital Financing," ETLA Working Papers 81, The Research Institute of the Finnish Economy.

    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. Lee, Jangwook & Chung, Jiyoon, 2022. "Women in top management teams and their impact on innovation," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    2. 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.
    3. Heng GENG & Harald HAU & Sandy LAI, 2015. "Technological Progress and Ownership Structure," Swiss Finance Institute Research Paper Series 15-39, Swiss Finance Institute.
    4. Fan, Zhaobin & Long, Rui & Shen, Zhixuan, 2024. "Regional digitalization, dynamic capabilities and green innovation: Evidence from e-commerce demonstration cities in China," Economic Modelling, Elsevier, vol. 139(C).
    5. Stuart J. H. Graham & Alan C. Marco & Amanda F. Myers, 2018. "Patent transactions in the marketplace: Lessons from the USPTO Patent Assignment Dataset," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 27(3), pages 343-371, September.
    6. Yao, Li & Li, Jun & Chen, Kaihua & Yu, Rongjian, 2024. "Winning the second race of technology standardization: Strategic maneuvers in SEP follow-on innovations," Research Policy, Elsevier, vol. 53(6).
    7. Teruel Carrizosa, Mercedes & Coad, Alexander & Domnick, Clemens & Flachenecker, Florian & Harasztosi, Péter & Janiri, Mario Lorenzo & Pál, Rozália, 2021. "The birth of new high growth enterprises: Internationalisation through new digital technologies," EIB Working Papers 2021/02, European Investment Bank (EIB).
    8. Petra Moser & Joerg Ohmstedt & Paul M. Rhode, 2016. "Patent Citations - An Analysis of Quality Differences and Citing Practices in Hybrid Corn," Working Papers 16-05, New York University, Leonard N. Stern School of Business, Department of Economics.
    9. Simone Vannuccini & Ekaterina Prytkova, 2021. "Artificial Intelligence’s New Clothes? From General Purpose Technology to Large Technical System," SPRU Working Paper Series 2021-02, SPRU - Science Policy Research Unit, University of Sussex Business School.
    10. Petra Moser & Joerg Ohmstedt & Paul W. Rhode, 2018. "Patent Citations—An Analysis of Quality Differences and Citing Practices in Hybrid Corn," Management Science, INFORMS, vol. 64(4), pages 1926-1940, April.
    11. Colin Wessendorf & Alexander Kopka & Dirk Fornahl, 2021. "The impact of the six European Key Enabling Technologies (KETs) on regional knowledge creation," Papers in Evolutionary Economic Geography (PEEG) 2127, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Sep 2021.
    12. Oliver Falck & Johannes Koenen, 2020. "Rohstoff „Daten“: Volkswirtschaflicher Nutzen von Datenbereitstellung – eine Bestandsaufnahme," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 113.
    13. Schankerman, Mark & Schuett, Florian, 2016. "Screening for Patent Quality," CEPR Discussion Papers 11688, C.E.P.R. Discussion Papers.
    14. 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.
    15. Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & Stéphane Surprenant, 2022. "How is machine learning useful for macroeconomic forecasting?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 920-964, August.
    16. Olivier De Groote & Koen Declercq, 2021. "Tracking and specialization of high schools: Heterogeneous effects of school choice," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(7), pages 898-916, November.
    17. 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.
    18. Antonelli, Cristiano, 2017. "Digital knowledge generation and the appropriability trade-off," Telecommunications Policy, Elsevier, vol. 41(10), pages 991-1002.
    19. DUERNECKER Georg & SANCHEZ MARTINEZ Miguel, 2021. "Structural change and productivity growth in the European Union: Past, present and future," JRC Working Papers on Territorial Modelling and Analysis 2021-09, Joint Research Centre.
    20. Luigi Balletta & Antonio Tesoriere, 2020. "Cumulative innovation, open source, and distance to frontier," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 22(6), pages 1875-1920, December.

    More about this item

    Keywords

    Data economy; Innovation; Patents; Acquisitions; Technology giants;
    All these keywords.

    JEL classification:

    • G34 - Financial Economics - - Corporate Finance and Governance - - - Mergers; Acquisitions; Restructuring; Corporate Governance
    • L12 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Monopoly; Monopolization Strategies
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • 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:rif:wpaper:72. 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: Kaija Hyvönen-Rajecki (email available below). General contact details of provider: https://edirc.repec.org/data/etlaafi.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.