IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-02316038.html
   My bibliography  Save this paper

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 des forces de Police au sein d’un Centre d’Information et de Commandement (CIC)]

Author

Listed:
  • Cécile Godé

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

  • Jean-Fabrice Lebraty

    (MAGELLAN - Laboratoire de Recherche Magellan - UJML - Université Jean Moulin - Lyon 3 - Université de Lyon - Institut d'Administration des Entreprises (IAE) - Lyon)

  • Jordan Vazquez

    (IDP - Institut du Développement et de la Prospective - EA 1384 - UVHC - Université de Valenciennes et du Hainaut-Cambrésis - IAE - Institut d'Administration des Entreprises - UPHF - Université Polytechnique Hauts-de-France)

Abstract

Naturalistic Decision-Making is a mainstream research paradigm to study decision-making of experts confronted to dynamic and changing conditions, ill-defined goals and time stress. For the last ten years, contributions encourage the analysis of human-technology interactions to refine our understanding of naturalistic decision-making. Drawing on this perceptive, an inductive qualitative case study is completed to understand how experts police officers in an Information and Command Center (ICC), facing with dynamic and changing conditions, make decisions in big data environment. ICC daily produces an important volume of varied and responsive data, which need to be verified. Police officers assemble these data in situation, from unintegrated technologies. The case analysis shows two distinct stages of decision-making process in big data environment: the upstream level of situational awareness, complete or partial according to the circumstances, and the recognition process. These results allow suggesting an integrated model of naturalistic decision-making, applied to ICC Police officers in big data environment.

Suggested Citation

  • 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.
    • Handle: RePEc:hal:journl:hal-02316038
    DOI: 10.3917/sim.193.0067
    Note: View the original document on HAL open archive server: https://hal.science/hal-02316038v1
    as

    Download full text from publisher

    File URL: https://hal.science/hal-02316038v1/document
    Download Restriction: no
    File URL: https://libkey.io/10.3917/sim.193.0067?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Herbert A. Simon, 1955. "A Behavioral Model of Rational Choice," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 69(1), pages 99-118.
    2. Cécile Godé & Tessa Melkonian & Thierry Picq, 2016. "Performance collective. Quels enseignements des contextes extrêmes ?," Revue française de gestion, Lavoisier, vol. 0(4), pages 73-78.
    3. J. Angot & P. Milano, 2007. "Comment lier concepts et données," Post-Print hal-00238984, HAL.
    4. Dirk Schneckenberg & Vivek Velamuri & Christian Comberg & Patrick Spieth, 2017. "Business model innovation and decision making: uncovering mechanisms for coping with uncertainty," Post-Print hal-02004074, HAL.
    5. Cécile Godé & Tessa Melkonian & Thierry Picq, 2016. "Performance collective : quels enseignements des contextes extrêmes ?," Post-Print hal-02127267, HAL.
    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. 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.
    2. 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.

    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. Cécile Godé & François de Corbière & Jessie Pallud, 2020. "Les technologies émergentes en contexte extrême : de l’adaptation à l’anticipation ? (Editorial)," Post-Print hal-02912845, HAL.
    2. Dominik Dellermann & Nikolaus Lipusch & Philipp Ebel & Jan Marco Leimeister, 2019. "Design principles for a hybrid intelligence decision support system for business model validation," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(3), pages 423-441, September.
    3. Torgler, Benno & Schneider, Friedrich & Schaltegger, Christoph A., 2007. "With or Against the People? The Impact of a Bottom-Up Approach on Tax Morale and the Shadow Economy," Berkeley Olin Program in Law & Economics, Working Paper Series qt6331x6vz, Berkeley Olin Program in Law & Economics.
    4. Christina Leuker & Thorsten Pachur & Ralph Hertwig & Timothy J. Pleskac, 2019. "Do people exploit risk–reward structures to simplify information processing in risky choice?," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 5(1), pages 76-94, August.
    5. Ranganathan, Kavitha & Lejarraga, Tomás, 2021. "Elicitation of risk preferences through satisficing," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    6. Andrew Caplin & Mark Dean & Daniel Martin, 2011. "Search and Satisficing," American Economic Review, American Economic Association, vol. 101(7), pages 2899-2922, December.
    7. Shi, Yi & Deng, Yawen & Wang, Guoan & Xu, Jiuping, 2020. "Stackelberg equilibrium-based eco-economic approach for sustainable development of kitchen waste disposal with subsidy policy: A case study from China," Energy, Elsevier, vol. 196(C).
    8. Lawrence Bunnell & Kweku-Muata Osei-Bryson & Victoria Y. Yoon, 0. "RecSys Issues Ontology: A Knowledge Classification of Issues for Recommender Systems Researchers," Information Systems Frontiers, Springer, vol. 0, pages 1-42.
    9. da Silveira, Jaylson Jair & Lima, Gilberto Tadeu, 2021. "Wage inequality as a source of endogenous macroeconomic fluctuations," Structural Change and Economic Dynamics, Elsevier, vol. 56(C), pages 35-52.
    10. Marianne Bertrand & Dean Karlin & Sendhil Mullainathan & Eldar Shafir & Jonathan Zinman, 2005. "What's Psychology Worth? A Field Experiment in the Consumer Credit Market," NBER Working Papers 11892, National Bureau of Economic Research, Inc.
    11. Manolis, Chris & Nygaard, Arne & Stillerud, Bård, 1997. "Uncertainty and vertical control: An international investigation," International Business Review, Elsevier, vol. 6(5), pages 501-518, October.
    12. Elizabeth J. Altman & Frank Nagle & Michael L. Tushman, 2013. "Innovating Without Information Constraints: Organizations, Communities, and Innovation When Information Costs Approach Zero," Harvard Business School Working Papers 14-043, Harvard Business School, revised Sep 2014.
    13. Gerd Gigerenzer, 1997. "Bounded Rationality: Models of Fast and Frugal Inference," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 133(II), pages 201-218, June.
    14. Jhunjhunwala, Tanushree, 2021. "Searching to avoid regret: An experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 298-319.
    15. Jacopo Arpetti & Antonio Iovanella, 2019. "Towards more effective consumer steering via network analysis," Papers 1903.11469, arXiv.org, revised Nov 2019.
    16. Schilling, Melissa A. & Green, Elad, 2011. "Recombinant search and breakthrough idea generation: An analysis of high impact papers in the social sciences," Research Policy, Elsevier, vol. 40(10), pages 1321-1331.
    17. DeCanio, Stephen J. & Watkins, William E., 1998. "Information processing and organizational structure," Journal of Economic Behavior & Organization, Elsevier, vol. 36(3), pages 275-294, August.
    18. Esser, Hartmut, 2005. "Rationalität und Bindung : das Modell der Frame-Selektion und die Erklärung des normativen Handelns," Papers 05-16, Sonderforschungsbreich 504.
    19. Wenjing Luo & Zhi Qiu & Yurika Yokoyama & Shengyuan Zheng, 2022. "Decision-Making Mechanism of Joint Activities for the Elderly and Children in Integrated Welfare Facilities: A Discussion Based on “Motivation–Constraint” Interaction Model," IJERPH, MDPI, vol. 19(16), pages 1-23, August.
    20. Xujin Pu & Huanzhen Zhang, 2016. "Voluntary Certification of Agricultural Products in Competitive Markets: The Consideration of Boundedly Rational Consumers," Sustainability, MDPI, vol. 8(9), pages 1-13, September.

    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-02316038. 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.