Abstract

This study aims to understand the links between neuroscience, physio- logical tools and technostress, considering the potential role of Artificial Intelli- gence, in organizational, managerial and Information Systems (IS) fields through a Systematic literature review and Bibliometric analysis. The analysis was con- ducted using one online database, such as Scopus. A dataset of 36 publications was analyzed through citation and co-citation analysis, and co-occurrence analy- sis on all keywords. Results of co-citation analysis shown a network of the 56 most cited sources and 4 topic clusters. While, results of co-occurrence analysis shown a network of the 34 most used keywords and 3 thematic clusters. The re- sults reveals the existence, in Scopus, of few papers on the topic emphasizing the need to expand the analysis by using more tools to detect the neural mechanisms activated in techno-stressful situations and to understand the role played by the Artificial Intelligence and Metaverse on technostress, also in neuroscientific terms, and to understand if they can help to reduce techno distress. So, this paper contributes to the literature by presenting a comprehensive overview on the link between neuroscience, physiological tools and technostress in organizational, managerial and Information Systems (IS) fields, also considering the potential role of Artificial Intelligence, and leads to further reflections on the use of infor- mation and communication technologies to obtain even more sophisticated and more predictive neuroscientific information on technostress and, consequently, of individuals’ behaviors.

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