Reducing Cognitive Biases Through Digitally Enabled Training. A Conceptual Framework

Samuel Collino and Giancarlo Lauto ()
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Samuel Collino: Università degli Studi di Udine
Giancarlo Lauto: Università degli Studi di Udine

A chapter in Do Machines Dream of Electric Workers?, 2022, pp 179-191 from Springer

Abstract: 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.

Keywords: Cognitive bias; Training; Technology (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-030-83321-3_13

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DOI: 10.1007/978-3-030-83321-3_13

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