Exploring Artificial Intelligence Debate in Organisation Studies: A Computational Literature Review
Author(s)
Za, Stefano
Date Issued
2022
Type
conferenceObject
Abstract
Purpose: Many organisations inside the 4.0 industry have adopted new technologies based on Artificial intelligence. In parallel scholars are focusing on this topic to study what are the implications of AI in organisation studies, we aim to review the current literature to explore the debate in this domain.
Design/Methodology/Approach/Intervention: In this contribution, we use 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.
Results: As a result, we aim to Identify the articles and the authors that have a high impact inside our field of study. Moreover, we hope to find new opportunities for future research.
Limitation: In this contribution, we analysed only the abstracts of the articles reviewed.
Research/Practical Contribution: This paper could be the starting point to develop literature reviews that analyse the entire content of the papers selected. Moreover, this research could be useful to those who wish to conduct a literature review using the CLR method.
Originality/Value: This paper explores the debate concerning artificial intelligence in organisational studies by using the Computational Literature Review Method (Antons et al., 2021), to find the current gaps in the literature.
Conference(s)
WOA 2022 – XXIII Workshop dei Docenti e Ricercatori di Organizzazione Aziendale. “Are We Ready to manage the Unexpected? Exploring Antifragility. Resilience and Wellbeing in Organizations"