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Reducing Cognitive Biases Through Digitally Enabled Training. A Conceptual Framework

In: Do Machines Dream of Electric Workers?

Author

Listed:
  • Samuel Collino

    (Università degli Studi di Udine)

  • Giancarlo Lauto

    (Università degli Studi di Udine)

Abstract

Since cognitive biases impair decision-making processes, organizations strive to reduce their effect. Training sustains such effort, especially when innovative learning approaches are adopted. The introduction of digital technologies, such as those related to Industry 4.0, challenges firms to upskill and reskill their employees. At the same time, these technologies offer a new set of tools for training. This paper proposes a conceptual model that disentangles the effect of the form of training and its reliance on digital technological tools, on the reduction of cognitive biases and performance in tasks related to digital transformations.

Suggested Citation

  • Samuel Collino & Giancarlo Lauto, 2022. "Reducing Cognitive Biases Through Digitally Enabled Training. A Conceptual Framework," Lecture Notes in Information Systems and Organization, in: Luca Solari & Marcello Martinez & Alessio Maria Braccini & Alessandra Lazazzara (ed.), Do Machines Dream of Electric Workers?, pages 179-191, Springer.
    • Handle: RePEc:spr:lnichp:978-3-030-83321-3_13
    DOI: 10.1007/978-3-030-83321-3_13
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    Cited by:

    1. Athota, Vidya S. & Pereira, Vijay & Hasan, Zahid & Vaz, Daicy & Laker, Benjamin & Reppas, Dimitrios, 2023. "Overcoming financial planners’ cognitive biases through digitalization: A qualitative study," Journal of Business Research, Elsevier, vol. 154(C).

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