Paper Number
1869
Paper Type
Complete
Description
The goal of this paper is to develop a complete overview of the current debate on artificial intelligence in organisation and managerial studies. To this end, we adopted the Computational Literature Review (CLR) method to conduct an impact and a topic modelling analysis of the relevant literature, using the Latent Dirichlet Allocation (LDA) technique. As a result, we identified 15 topics concerning the artificial intelligence debate in organisation studies, providing a detailed description of each of them and identifying which one is declining, stable or emerging. We also recognized two main branches of research regarding technical and societal aspects, where the latter is becoming increasingly important in recent years. Finally, focusing on the emerging topics, we proposed a set of guiding questions that might foster future research directions. This paper provides insights to scholars and managers interested in AI and could be used also as guide to perform CLR.
Recommended Citation
Smacchia, Marco and Za, Stefano, "Artificial Intelligence in Organisation and Managerial Studies: A Computational Literature Review" (2022). ICIS 2022 Proceedings. 6.
https://aisel.aisnet.org/icis2022/soc_impact_is/soc_impact_is/6
Artificial Intelligence in Organisation and Managerial Studies: A Computational Literature Review
The goal of this paper is to develop a complete overview of the current debate on artificial intelligence in organisation and managerial studies. To this end, we adopted the Computational Literature Review (CLR) method to conduct an impact and a topic modelling analysis of the relevant literature, using the Latent Dirichlet Allocation (LDA) technique. As a result, we identified 15 topics concerning the artificial intelligence debate in organisation studies, providing a detailed description of each of them and identifying which one is declining, stable or emerging. We also recognized two main branches of research regarding technical and societal aspects, where the latter is becoming increasingly important in recent years. Finally, focusing on the emerging topics, we proposed a set of guiding questions that might foster future research directions. This paper provides insights to scholars and managers interested in AI and could be used also as guide to perform CLR.
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Comments
05-SocImpact