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.

Reducing Cognitive Biases Through Digitally Enabled Training. A Conceptual Framework

giancarlo lauto
Co-primo
;
samuel collino
Co-primo
2022-01-01

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.
2022
978-3-030-83320-6
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11390/1212676
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