Expatriate adjustment in the 21st century: rethinking person-environment fit theory and social learning theory in the digitalized and AI-supported workplace

Purpose The integration of digitally induced work modes and emerging technological tools has the potential to transform how expatriates adjust. In this article, we shed light on the implications of workplace digitalization for intercultural job adjustment. Design/methodology/approach We develop a conceptual model of expatriate adjustment and focus on two pertinent theoretical perspectives, i.e. person-environment fit theory and social learning theory, to examine how digitalization changes the context and processes of adjustment. Findings Our propositions delineate the opportunities and limitations of workplace digitalization for expatriate adjustment. Modal, temporal, and spatial flexibility, as well as digital support tools, enable faster, yet more perfunctory intercultural job adjustment. Deeper behavioral transformations are less likely to result from digitalized modes of working and learning. Originality/value Against the background of pervasive workplace digitalization, we revisit foundational theories used to explain expatriate adjustment and connect them with contemporary technological advancements. This leads us to introduce the concepts of dynamic fit to capture how expatriates increasingly regulate their exposure to digitally enabled work environments and human-independent social learning to explain technology-supported learning processes that occur with reduced reliance on direct interpersonal interaction.

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Publication Details

Journal
Personnel Review
Published
2026-10-22
DOI
https://doi.org/10.1108/pr-02-2026-0279
Primary Topic
International Student and Expatriate Challenges
Type
article
Field-Weighted Citation Impact
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article

Expatriate adjustment in the 21st century: rethinking person-environment fit theory and social learning theory in the digitalized and AI-supported workplace

Sebastian Stoermer, Jakob Lauring, Charlotte Jonasson
Personnel Review
International Student and Expatriate Challenges
article

Expatriate adjustment in the 21st century: rethinking person-environment fit theory and social learning theory in the digitalized and AI-supported workplace

Sebastian Stoermer, Jakob Lauring, Charlotte Jonasson
article en

Abstract

Purpose The integration of digitally induced work modes and emerging technological tools has the potential to transform how expatriates adjust. In this article, we shed light on the implications of workplace digitalization for intercultural job adjustment. Design/methodology/approach We develop a conceptual model of expatriate adjustment and focus on two pertinent theoretical perspectives, i.e. person-environment fit theory and social learning theory, to examine how digitalization changes the context and processes of adjustment. Findings Our propositions delineate the opportunities and limitations of workplace digitalization for expatriate adjustment. Modal, temporal, and spatial flexibility, as well as digital support tools, enable faster, yet more perfunctory intercultural job adjustment. Deeper behavioral transformations are less likely to result from digitalized modes of working and learning. Originality/value Against the background of pervasive workplace digitalization, we revisit foundational theories used to explain expatriate adjustment and connect them with contemporary technological advancements. This leads us to introduce the concepts of dynamic fit to capture how expatriates increasingly regulate their exposure to digitally enabled work environments and human-independent social learning to explain technology-supported learning processes that occur with reduced reliance on direct interpersonal interaction.

Personnel Review
Aarhus University (DK), Institute of Behavioral Sciences (JP), Technische Universität Dresden (DE)
Decent work and economic growth
Openalex Percentile: Top 10%
International Student and Expatriate Challenges
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Expatriate adjustment in the 21st century: rethinking person-environment fit theory and social learning theory in the digitalized and AI-supported workplace — Sebastian Stoermer, Jakob Lauring, et al. · Personnel Review (2026) | TGRS Research Map | TGRS