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Beyond Big Data

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  • Hal R Varian

Abstract

This talk describes the new directions in computers and communication and their implications for the analysis of massive amounts of data, development of customized marketing plans that go hand in glove with sophisticated digital assistants, continuous computerized experiments to distinguish causation from correlation, and the role of monitoring in market research and the conduct of efficient transactions. Taking full advantage of the potential of these new directions will require increasing sophistication in knowing what to do with the massive amounts of data that are now available.

Suggested Citation

  • Hal R Varian, 2014. "Beyond Big Data," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 49(1), pages 27-31, January.
    • Handle: RePEc:pal:buseco:v:49:y:2014:i:1:p:27-31
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    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Will AI Kill Off Money?
      by Jean-Pierre Landau in Project Syndicate on 2024-07-26 09:05:25

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    Cited by:

    1. Mucha, Tomasz & Seppälä, Timo, 2020. "Artificial Intelligence Platforms – A New Research Agenda for Digital Platform Economy," ETLA Working Papers 76, The Research Institute of the Finnish Economy.
    2. Andreas Georg Scherer & Andreas Rasche & Guido Palazzo & André Spicer, 2016. "Managing for Political Corporate Social Responsibility: New Challenges and Directions for PCSR 2.0," Journal of Management Studies, Wiley Blackwell, vol. 53(3), pages 273-298, May.
    3. Chaohong Na & Xue Chen & Xiaojun Li & Yuting Li & Xiaolan Wang, 2022. "Digital Transformation of Value Chains and CSR Performance," Sustainability, MDPI, vol. 14(16), pages 1-24, August.
    4. Ehlers, Melf-Hinrich & Huber, Robert & Finger, Robert, 2021. "Agricultural policy in the era of digitalisation," Food Policy, Elsevier, vol. 100(C).
    5. Pablo Matías Herrera & Ana Inés Heras, 2023. "Epistemic Opacity And Epistemic Transparency. Organizations That Produce, Support And Recreate Them In Platform Economies," Revista Ciencias Administrativas (CADM), IIA, Universidad Nacional de La Plata, Instituto de Investigaciones Administrativas, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, issue 22, pages 1-10, July-Dece.
    6. Karen Yeung, 2018. "Algorithmic regulation: A critical interrogation," Regulation & Governance, John Wiley & Sons, vol. 12(4), pages 505-523, December.
    7. Steffen, Nico & Wiewiorra, Lukas & Kroon, Peter, 2021. "Wettbewerb und Regulierung in der Plattform- und Datenökonomie," WIK Discussion Papers 481, WIK Wissenschaftliches Institut für Infrastruktur und Kommunikationsdienste GmbH.
    8. Long, Vicky & Bjuggren, Per-Olof, 2022. "Working Paper No. 355: The artificial intelligence (AI) data access regime: what are the factors affecting the access and sharing of industrial AI data?," Ratio Working Papers 355, The Ratio Institute.
    9. Castell, Carolin & Kiefer, Jasmin & Schubach, Sebastian & Schumann, Jan H. & Graf-Vlachy, Lorenz & König, Andreas, 2023. "Integrating digital platform dynamics into customer orientation research: A systematic review and research agenda," Journal of Business Research, Elsevier, vol. 163(C).
    10. Yann Braouezec, 2015. "Public versus Private Insurance System with (and without) Transaction Costs: Optimal Segmentation Policy of an Informed monopolistPublic versus Private Insurance System with (and without) Transaction ," Working Papers 2013-ECO-23, IESEG School of Management, revised May 2014.
    11. Onorante, Luca & Raftery, Adrian E., 2016. "Dynamic model averaging in large model spaces using dynamic Occam׳s window," European Economic Review, Elsevier, vol. 81(C), pages 2-14.
    12. Oliver Falck & Johannes Koenen, 2020. "Resource “Data”: Economic Benefits of Data Provision," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 21(03), pages 31-41, September.
    13. Haftor, Darek M. & Costa Climent, Ricardo & Lundström, Jenny Eriksson, 2021. "How machine learning activates data network effects in business models: Theory advancement through an industrial case of promoting ecological sustainability," Journal of Business Research, Elsevier, vol. 131(C), pages 196-205.
    14. Angelo Moro & Matteo Rinaldini & Jacopo Staccioli & Maria Enrica Virgillito, 2019. "Control in the era of surveillance capitalism: an empirical investigation of Italian Industry 4.0 factories," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 46(3), pages 347-360, September.
    15. Bessen, James & Impink, Stephen Michael & Reichensperger, Lydia & Seamans, Robert, 2022. "The role of data for AI startup growth," Research Policy, Elsevier, vol. 51(5).
    16. Dirk Nicolas Wagner, 2020. "Economic patterns in a world with artificial intelligence," Evolutionary and Institutional Economics Review, Springer, vol. 17(1), pages 111-131, January.
    17. Christian Trudeau & Zheng Wang, 2015. "Help us to help you: how consumer data can alter quality races," Working Papers 1501, University of Windsor, Department of Economics.
    18. Silva, Ana Teresa & Moro, Sérgio & Rita, Paulo & Cortez, Paulo, 2018. "Unveiling the features of successful eBay smartphone sellers," Journal of Retailing and Consumer Services, Elsevier, vol. 43(C), pages 311-324.
    19. Michela Chessa & Patrick Loiseau, 2017. "Enhancing Voluntary Contribution in a Public Goods Economy via a Minimum Individual Contribution Level," GREDEG Working Papers 2017-24, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France, revised Feb 2023.
    20. Stefan Brunner & Candice Kam Yuching & Klaus Bengler, 2024. "Streamlining operations management by classifying methods and concepts of Lean and Ergonomics within a sociotechnical framework," Operations Management Research, Springer, vol. 17(3), pages 1172-1196, September.
    21. Alfnes, Frode & Wasenden, Ole Christian, 2022. "Your privacy for a discount? Exploring the willingness to share personal data for personalized offers," Telecommunications Policy, Elsevier, vol. 46(7).

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