Knowledge management strategies and organizational improvisation: what changed after the emergence of technological turbulence caused by artificial intelligence?
Article publication date: 17 January 2022
Issue publication date: 28 March 2022
This paper aims to analyze the moderating effect of technological turbulence caused by artificial intelligence on the relationship between the traditional knowledge management strategies of personalization (tacit knowledge) and codification (explicit knowledge), and organizational improvisation, which refers to the firm's ability to generate ideas and respond to changes in the technological environment in real time. Until now, individuals have played a key and indispensable role in organizational improvisation since they are the owners of tacit knowledge and users of explicit knowledge.
The research model was tested in a sample of firms from sectors in which the adoption of intelligent robots is growing.
Both personalization and codification have a positive and significant influence on improvisation, the former to a greater extent. Nevertheless, when technological turbulence caused by artificial intelligence occurs, the relationship between personalization and improvisation is weakened, whereas the link between codification and improvisation is strengthened.
Contrary to the pre-digital literature consensus, explicit knowledge is becoming the new major driver of organizational improvisation, while tacit knowledge sharing is losing strength and relevance. This finding may be a first indication that intelligent robots are the new exponents of improvisation for their ability to respond to changes in the environment in real time because of a combination of explicit knowledge, beyond being a mere support tool for humans.
This work was supported by Minciencias and Icetex under project number 82299.
Arias-Pérez, J. and Cepeda-Cardona, J. (2022), "Knowledge management strategies and organizational improvisation: what changed after the emergence of technological turbulence caused by artificial intelligence?", Baltic Journal of Management, Vol. 17 No. 2, pp. 250-265. https://doi.org/10.1108/BJM-01-2021-0027
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