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Do we need to believe Data/Tangible or Emotional/Intuition?

Author

Listed:
  • Fanjuan Shi

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

  • Jean-Luc Marini

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

Abstract

Now Data are clearly prevailing in all domains like a new black gold for companies and the rules in business decision-making are called into question. In this context, we think that Data Analytics combined with collaborative decision processes promotes a rational decision-making. However best practices show that more and more executives and managers, the famous HiPPO (Highest Paid Person's Opinion), now frequently use their intuition for strategic decision-making. Moreover a lot of empirical surveys also show how important is the emotion in the intuitive decision-making processes. We will try to explain how we can interpret differently data coming from big data using the most recent scientific advances in the field of psycho-cognitive sciences, in the goal to improve decision support systems and to take into account emotion in the decision-making processes. Finally we hope this could provide some elements to answer to the question: Do we need to believe Data/Tangible or Emotional/Intuition?

Suggested Citation

  • Fanjuan Shi & Jean-Luc Marini, 2014. "Do we need to believe Data/Tangible or Emotional/Intuition?," Post-Print halshs-01065283, HAL.
  • Handle: RePEc:hal:journl:halshs-01065283
    Note: View the original document on HAL open archive server: https://halshs.archives-ouvertes.fr/halshs-01065283
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    References listed on IDEAS

    as
    1. Kahneman, Daniel & Tversky, Amos, 1979. "Prospect Theory: An Analysis of Decision under Risk," Econometrica, Econometric Society, vol. 47(2), pages 263-291, March.
    2. Daniel Fleder & Kartik Hosanagar, 2009. "Blockbuster Culture's Next Rise or Fall: The Impact of Recommender Systems on Sales Diversity," Management Science, INFORMS, vol. 55(5), pages 697-712, May.
    3. Benlian, Alexander & Titah, R. & Hess, Thomas, 2012. "Differential Effects of Provider and User Recommendations in e-Commerce Transactions: An Experimental Study," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 57946, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    4. Benlian, Alexander & Titah, R. & Hess, Thomas, 2012. "Differential Effects of Provider and User Recommendations in e-Commerce Transactions: An Experimental Study," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 59346, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    5. Benlian, Alexander & Titah, R. & Hess, Thomas, 2012. "Differential Effects of Provider and User Recommendations in e-Commerce Transactions: An Experimental Study," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 65605, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    6. repec:eee:joinma:v:23:y:2009:i:2:p:138-146 is not listed on IDEAS
    7. Shapiro, Stewart & Spence, Mark T., 1997. "Managerial intuition: A conceptual and operational framework," Business Horizons, Elsevier, vol. 40(1), pages 63-68.
    8. S. Sriram & Pradeep K. Chintagunta & Manoj K. Agarwal, 2010. "Investigating Consumer Purchase Behavior in Related Technology Product Categories," Marketing Science, INFORMS, vol. 29(2), pages 291-314, 03-04.
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    Keywords

    decision-making; intuitive decision-making; emotion; e-commerce; recommender systems;

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