Abstract
This study aims to model the relationships between Artificial Intelligence and technostress in organizations that are implementing, or intend to implement, AI-technologies, to better understand if they are, more or less, near the ideal organizational typology and to design the possible path that maximize AIimplementation, techno-eustress and organizational support and minimize techno-distress impacting positively on productivity. Starting from the literature on the topic of "Artificial Intelligence and technostress in organizations" and using the typology analysis as methodology, a model of organizational typologies was defined, representing theoretical organizational typologies based on the cases described and identified in different contributions emerging from the literature examined considering the particular business sector and considering, at this first level of analysis, both organizations operating in the public sector and those operating in the private sector, regardless of the size of the company. This work represents a framework for future research on the topic and offers a theoretical model for managers to understand which organizational typology is closest to their organization noting the level achieved by productivity with the possibility to understand what actions to realize on independent variables to divert them towards the ideal typology that maximizes productivity.
Recommended Citation
Silvestre, Raffaele and Romanelli, Mauro, "Managing Artificial Intelligence and technostress for more productive organizations" (2025). ITAIS 2025 Proceedings. 27.
https://aisel.aisnet.org/itais2025/27