Academy of Strategic Management Journal (Print ISSN: 1544-1458; Online ISSN: 1939-6104)


Computerizing Technostress Management: Toward an Artificial Intelligence Assisted Support and Diagnosis System

Author(s): Mohamed Salah-Eddine, Mustapha Belaissaoui, Mahmoud El Hamlaoui, Karima Salah-Eddine

In the Covid-19 era which is a period of crisis, remote work was a necessary response to this unprecedented crisis. However, in the post-pandemic world, decision-makers and top managers should by no means rush towards the adoption of telecommuting and the other Information and Communication Technologies (ICTs), without measuring employees’ attitudes and without providing them with necessary support in-order to avoid side effects of Technostress.

This paper presents an approach for Technostress Management that is capable of customizing the Coping Strategies (CSs) for every specific organization towards enabling Artificial Intelligence (AI) Technologies to handle this phenomenon. However, the rapid change and evolution of technologies push employees to continuously update their knowledge and learn new skills, which over time become a burden on their shoulders. This burden leads to the occurrence of a different type of stress called Technostress (TS). Health Care professionals deal with this type of stress by using some strategies called CSs.

The existing dissimilarities between organizations in terms of ICTs infrastructures, and Human Resource Policies, make the task of properly managing both TS and CSs for Managers and Health care professionals very complicated.

Therefore, we propose in this paper a web page solution that is capable of remotely managing the TS and the CSs, accordingly with the organization’s own ICTs specifications and internal policies. The suggested solution will allow organizations to be more independent of external non-specific guidelines, and to gradually build a high degree of control, awareness and expertise over the new upcoming TS appearances.

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