Machine learning and artificial intelligence-induced technostress in organizations: a study on automation-augmentation paradox with socio-technical systems as coping mechanisms
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DOI: 10.1108/ijoa-01-2023-3581
Abstract: Purpose This research study aims to inquire into the technostress phenomenon at an organizational level from machine learning (ML) and artificial intelligence (AI) deployment. The authors investigated the role of ML and AI automation-augmentation paradox… read more here.
Keywords: coping mechanisms; automation augmentation; augmentation paradox; socio technical ... See more keywords