IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-03252399.html
   My bibliography  Save this paper

Environnement big data et prise de décision : maintien de l'ordre durant un évènement sportif d'ampleur

Author

Listed:
  • Jordan Vazquez

    (LARSH - Laboratoire de Recherche Sociétés & Humanités - UPHF - Université Polytechnique Hauts-de-France - INSA Hauts-De-France - INSA Institut National des Sciences Appliquées Hauts-de-France - INSA - Institut National des Sciences Appliquées)

  • Cécile Godé

    (CRET-LOG - Centre de Recherche sur le Transport et la Logistique - AMU - Aix Marseille Université)

  • Jean-Fabrice Lebraty

Abstract

Les effectifs de la Police nationale française rencontrent fréquemment des situations inattendues qui imposent des prises de décisions rapides (Godé et Vazquez, 2017). Les environnements big data sont susceptibles d'affecter le processus de prise de décision des policiers. La question que nous posons ici est la suivante : Comment les experts de la sécurité publique prennent-ils des décisions en environnement big data ?. Cette recherche s'intéresse à un évènement en particulier : l'étape de contre-la-montre du Tour de France 2017. La ville de Marseille a accueilli le 21 juillet 2017 les coureurs du Tour de France pour une étape de contrela-montre : jusqu'à 300 000 personnes étaient attendues pour l'évènement. Afin de coordonner les patrouilles de police et les différentes compagnies de C.R.S. sur le terrain, les équipes du Centre d'Information et de Commandement (C.I.C.) de la Police de Marseille ont pu s'appuyer sur de nombreuses technologies qui constituaient leur environnement big data. Cet environnement big data permet aux décideurs de repérer des situations en contexte changeant, de réévaluer des situations non familières et d'envisager des solutions de retrait pour sécuriser les actions des équipes sur le terrain.

Suggested Citation

  • Jordan Vazquez & Cécile Godé & Jean-Fabrice Lebraty, 2021. "Environnement big data et prise de décision : maintien de l'ordre durant un évènement sportif d'ampleur," Post-Print hal-03252399, HAL.
    • Handle: RePEc:hal:journl:hal-03252399
    Note: View the original document on HAL open archive server: https://hal.science/hal-03252399
    as

    Download full text from publisher

    File URL: https://hal.science/hal-03252399/document
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Isabelle, Bouty & Cécile, Godé & Carole, Drucker-Godard & Pascal, Lièvre & Jean, Nizet & François, Pichault, 2012. "Coordination practices in extreme situations," European Management Journal, Elsevier, vol. 30(6), pages 475-489.
    2. Cécile Godé & J.B. Lebraty, 2015. "Experience feedback as an enabler of coordination: An aerobatic military team case. Vol. 31, N°3, pp. 324-336," Post-Print hal-02127822, HAL.
    3. Orlikowski, Wanda J. & Scott, Susan V., 2015. "The algorithm and the crowd: considering the materiality of service innovation," LSE Research Online Documents on Economics 57601, London School of Economics and Political Science, LSE Library.
    4. Gary Klein, 1999. "Sources of Power: How People Make Decisions," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262611465, April.
    5. Janssen, Marijn & van der Voort, Haiko & Wahyudi, Agung, 2017. "Factors influencing big data decision-making quality," Journal of Business Research, Elsevier, vol. 70(C), pages 338-345.
    6. Godé, Cécile & Lebraty, Jean-Fabrice, 2015. "Experience feedback as an enabler of coordination: An aerobatic military team case," Scandinavian Journal of Management, Elsevier, vol. 31(3), pages 424-436.
    7. Cécile Godé & Jean-Fabrice Lebraty & Jordan Vazquez, 2019. "The Naturalistic Decision-Making process in big data environment: The case of a Police Information and Command Center (ICC) [Le processus de décision naturaliste en environnement big data : le cas ," Post-Print hal-02316038, HAL.
    8. Isabelle Bouty & Cécile Godé & Carole Drucker-Godard & Pascal Lièvre & Jean Nizet & François Pichault, 2012. "Coordination Practices in Extreme Situations," Post-Print hal-01625226, HAL.
    9. Cécile Godé & Jean-Fabrice Lebraty, 2013. "Improving Decision Making in Extreme Situations: The Case of a Military Decision Support System," International Journal of Technology and Human Interaction (IJTHI), IGI Global, vol. 9(1), pages 1-17, January.
    Full references (including those not matched with items on IDEAS)

    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. Jordan Vazquez & Cécile Godé & Jean-Fabrice Lebraty, 2018. "Environnement big data et décision : l'étape de contre la montre du tour de France 2017," Post-Print halshs-02188793, HAL.
    2. Jordan Vazquez & Cécile Godé & Jean-Fabrice Lebraty, 2017. "Les enjeux des environnements big data pour la Police Nationale," Post-Print halshs-02188803, HAL.
    3. Lenesley Pauline & Cécile Godé & Valérie Buthion, 2017. "Teams Coordination In A Polycentric System: Insights From Pre-Hospital Emergency Teams," Post-Print hal-01531144, HAL.
    4. Virginie Fernandez & Yvonne Giordano & Sabrina Loufrani-Fedida, 2017. "Enacting resilience in extreme action teams: The case of French mountain rescue organizing," Post-Print hal-02046087, HAL.
    5. Magni, Massimo & Palmi, Pamela & Salvemini, Severino, 2018. "Under pressure! Team innovative climate and individual attitudes in shaping individual improvisation," European Management Journal, Elsevier, vol. 36(4), pages 474-484.
    6. Sylvain Mondon, 2021. "Temporalités d’action et pratiques d'anticipation stratégique en contexte extrême : le cas de l’émergence d’une crise en course au large," Post-Print halshs-03324387, HAL.
    7. Lea Kiwan & Nathalie Lazaric, 2019. "Learning a new ecology of space and looking for new routines: Experimenting robotics in a surgical team," Post-Print hal-02559098, HAL.
    8. Tim Rakow & Charles Vincent & Kate Bull & Nigel Harvey, 2005. "Assessing the Likelihood of an Important Clinical Outcome: New Insights from a Comparison of Clinical and Actuarial Judgment," Medical Decision Making, , vol. 25(3), pages 262-282, May.
    9. Claudio Vitari & Elisabetta Raguseo, 2016. "Big data value and financial performance: an empirical investigation [Digital data, dynamic capability and financial performance: an empirical investigation in the era of Big Data]," Post-Print halshs-01923271, HAL.
    10. Mohammad Ali Yamin, 2021. "Investigating the Drivers of Supply Chain Resilience in the Wake of the COVID-19 Pandemic: Empirical Evidence from an Emerging Economy," Sustainability, MDPI, vol. 13(21), pages 1-16, October.
    11. Zhewei Zhang & Youngjin Yoo & Kalle Lyytinen & Aron Lindberg, 2021. "The Unknowability of Autonomous Tools and the Liminal Experience of Their Use," Information Systems Research, INFORMS, vol. 32(4), pages 1192-1213, December.
    12. David Williams, 2014. "Models, Metaphors and Symbols for Information and Knowledge Systems," Journal of Entrepreneurship, Management and Innovation, Fundacja Upowszechniająca Wiedzę i Naukę "Cognitione", vol. 10(1), pages 79-107.
    13. Klein, Daniel & Ludwig, Christopher A. & Nicolay, Katharina, 2020. "Internal digitalization and tax-efficient decision making," ZEW Discussion Papers 20-051, ZEW - Leibniz Centre for European Economic Research.
    14. Shamim, Saqib & Zeng, Jing & Khan, Zaheer & Zia, Najam Ul, 2020. "Big data analytics capability and decision making performance in emerging market firms: The role of contractual and relational governance mechanisms," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    15. Kim, Jong Hyun & Seong, Poong Hyun, 2007. "The effect of information types on diagnostic strategies in the information aid," Reliability Engineering and System Safety, Elsevier, vol. 92(2), pages 171-186.
    16. Li, Lei & Lin, Jiabao & Ouyang, Ye & Luo, Xin (Robert), 2022. "Evaluating the impact of big data analytics usage on the decision-making quality of organizations," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    17. JooSeok Oh & Timothy Paul Connerton & Hyun-Jung Kim, 2019. "The Rediscovery of Brand Experience Dimensions with Big Data Analysis: Building for a Sustainable Brand," Sustainability, MDPI, vol. 11(19), pages 1-21, September.
    18. Pichault, Francois & Fatien Diochon, Pauline & Nizet, Jean, 2020. "Autonomy of independent professionals: A political process perspective," European Management Journal, Elsevier, vol. 38(4), pages 623-633.
    19. Mike Metcalfe, 2013. "A Pragmatic System of Decision Criteria," Systems Research and Behavioral Science, Wiley Blackwell, vol. 30(1), pages 56-64, January.
    20. Tang, Ming & Liao, Huchang, 2021. "From conventional group decision making to large-scale group decision making: What are the challenges and how to meet them in big data era? A state-of-the-art survey," Omega, Elsevier, vol. 100(C).

    More about this item

    Keywords

    décision; intuition; environnement big data; évènements inattendus; Police nationale; Tour de France 2017; maintien de l'ordre;
    All these keywords.

    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:hal:journl:hal-03252399. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.