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Data-push projects and their unique feature: managing with anomalies

Author

Listed:
  • Antoine Bordas

    (CGS i3 - Centre de Gestion Scientifique i3 - Mines Paris - PSL (École nationale supérieure des mines de Paris) - PSL - Université Paris Sciences et Lettres - I3 - Institut interdisciplinaire de l’innovation - CNRS - Centre National de la Recherche Scientifique)

  • Pascal Le Masson

    (CGS i3 - Centre de Gestion Scientifique i3 - Mines Paris - PSL (École nationale supérieure des mines de Paris) - PSL - Université Paris Sciences et Lettres - I3 - Institut interdisciplinaire de l’innovation - CNRS - Centre National de la Recherche Scientifique)

  • Benoit Weil

    (CGS i3 - Centre de Gestion Scientifique i3 - Mines Paris - PSL (École nationale supérieure des mines de Paris) - PSL - Université Paris Sciences et Lettres - I3 - Institut interdisciplinaire de l’innovation - CNRS - Centre National de la Recherche Scientifique)

Abstract

No abstract is available for this item.

Suggested Citation

  • Antoine Bordas & Pascal Le Masson & Benoit Weil, 2023. "Data-push projects and their unique feature: managing with anomalies," Post-Print hal-04274791, HAL.
    • Handle: RePEc:hal:journl:hal-04274791
    Note: View the original document on HAL open archive server: https://minesparis-psl.hal.science/hal-04274791v1
    as

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    File URL: https://minesparis-psl.hal.science/hal-04274791v1/document
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    References listed on IDEAS

    as
    1. Sylvain Lenfle, 2008. "Exploration and Project Management," Post-Print hal-00404168, HAL.
    2. Gandomi, Amir & Haider, Murtaza, 2015. "Beyond the hype: Big data concepts, methods, and analytics," International Journal of Information Management, Elsevier, vol. 35(2), pages 137-144.
    3. Jean-Louis Monino, 2021. "Data Value, Big Data Analytics, and Decision-Making," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(1), pages 256-267, March.
    4. H. Igor Ansoff, 1980. "Strategic issue management," Strategic Management Journal, Wiley Blackwell, vol. 1(2), pages 131-148, April.
    5. Daniel Trabucchi & Tommaso Buganza, 2018. "Data-driven innovation: switching the perspective on Big Data," European Journal of Innovation Management, Emerald Group Publishing Limited, vol. 22(1), pages 23-40, September.
    6. Reich,Leonard S., 2002. "The Making of American Industrial Research," Cambridge Books, Cambridge University Press, number 9780521522373, January.
    7. Jeffrey Saltz & Ivan Shamshurin & Colin Connors, 2017. "Predicting data science sociotechnical execution challenges by categorizing data science projects," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(12), pages 2720-2728, December.
    Full references (including those not matched with items on IDEAS)

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