AI and work design: A positive psychology approach to employee well-being

Abstract In this conceptual contribution to the journal “Group. Interaction. Organization.” (GIO) the integration of Artificial Intelligence (AI) into work processes and its impact on employee psychological well-being is examined, particularly focusing on the dimensions of positive emotions, engagement, relationships, meaning and accomplishment as proposed by the PERMA model. Since integrating AI into work processes significantly influences work dynamics, structures and job roles, comprehensive, human-centered work design frameworks are necessary. Existing frameworks to AI integration often prioritize extrinsic factors like productivity and ease of use, overlooking intrinsic factors such as engagement, meaning and emotional support, which are crucial for promoting psychological well-being in dynamic workplace environments. Furthermore, the dual potential of AI to either enhance or undermine psychological well-being underlines the importance of balancing AI’s technical advantages with its psychological implications. To address these issues, a narrative literature review was conducted, synthesizing interdisciplinary studies on the integration of AI into work processes. This review specifically explores the implications of AI on employee psychological well-being through the lens of the PERMA model, providing an extension of the work design framework and insights for designing AI systems that are not only functional but also support a human-centered and positive workplace environment.

Authors

Institutions

Publication Details

Journal
Gruppe Interaktion Organisation Zeitschrift für Angewandte Organisationspsychologie (GIO)
Published
2025-04-08
DOI
https://doi.org/10.1007/s11612-025-00806-3
Citations
4
Primary Topic
Psychological Well-being and Life Satisfaction
Type
article
Field-Weighted Citation Impact
9.75

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI and work design: A positive psychology approach to employee well-being

Eva Lermer, Lara Watermann, Simone Kubowitsch
4 citations
Gruppe Interaktion Organisation Zeitschrift für Angewandte Organisationspsychologie (GIO)
Psychological Well-being and Life Satisfaction
9.75
article

AI and work design: A positive psychology approach to employee well-being

Eva Lermer, Lara Watermann, Simone Kubowitsch
article en
4 citations

Abstract

Abstract In this conceptual contribution to the journal “Group. Interaction. Organization.” (GIO) the integration of Artificial Intelligence (AI) into work processes and its impact on employee psychological well-being is examined, particularly focusing on the dimensions of positive emotions, engagement, relationships, meaning and accomplishment as proposed by the PERMA model. Since integrating AI into work processes significantly influences work dynamics, structures and job roles, comprehensive, human-centered work design frameworks are necessary. Existing frameworks to AI integration often prioritize extrinsic factors like productivity and ease of use, overlooking intrinsic factors such as engagement, meaning and emotional support, which are crucial for promoting psychological well-being in dynamic workplace environments. Furthermore, the dual potential of AI to either enhance or undermine psychological well-being underlines the importance of balancing AI’s technical advantages with its psychological implications. To address these issues, a narrative literature review was conducted, synthesizing interdisciplinary studies on the integration of AI into work processes. This review specifically explores the implications of AI on employee psychological well-being through the lens of the PERMA model, providing an extension of the work design framework and insights for designing AI systems that are not only functional but also support a human-centered and positive workplace environment.

Gruppe Interaktion Organisation Zeitschrift für Angewandte Organisationspsychologie (GIO)Vol. 56(2)
Technische Hochschule Augsburg (DE), University of Augsburg (DE), LMU Klinikum (DE), Ludwig-Maximilians-Universität München (DE)
Volkswagen Foundation, Ludwig-Maximilians-Universität München
Openalex Percentile: Top 2%
Psychological Well-being and Life Satisfaction
9.75
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.