This contribution is positioned in the debate on digitisation and how both organisational processes and the regulation of work processes are changing due to introduction of digital technologies such as learning algorithms within organisations. Using the theoretical framework of organisational studies, the aim is to analyse the reasons behind the introduction of these new technological artefacts, as well as its possible implications. The result is a typology regarding the intervention of learning algorithms on work processes. Since learning algorithms are adaptive tools that can be implemented in organisations that follow different technologies, the typology could help in identify the differences concerning the impact of learning algorithms on the regulation of work processes according to changes in the technology adopted

Learning algorithms as technological artefacts: between organisational change and new forms of regulation of work processes / D'Onofrio, Marta. - (2020).

Learning algorithms as technological artefacts: between organisational change and new forms of regulation of work processes

Marta D'Onofrio
Primo
2020

Abstract

This contribution is positioned in the debate on digitisation and how both organisational processes and the regulation of work processes are changing due to introduction of digital technologies such as learning algorithms within organisations. Using the theoretical framework of organisational studies, the aim is to analyse the reasons behind the introduction of these new technological artefacts, as well as its possible implications. The result is a typology regarding the intervention of learning algorithms on work processes. Since learning algorithms are adaptive tools that can be implemented in organisations that follow different technologies, the typology could help in identify the differences concerning the impact of learning algorithms on the regulation of work processes according to changes in the technology adopted
2020
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1439815
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