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Cited by 353

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Expatriate adjustment as a multifaceted phenomenon: individual and organizational level predictors

Aycan, Zeynep·1997·The International Journal of Human Resource Management

Abstract

A conceptual model is proposed that identifies critical antecedents of expatriate adjustment. Adjustment is conceptualized as the degree of fit between the expatriate manager and the environment, both work and socio-cultural. Adjustment is marked by both reduced conflict and increased effectiveness. As a multidimensional phenomenon, expatriate adjustment can be identified in psychological, socio-cultural and work domains. The model predicts that psychological and socio-cultural adjustment are the most immediate predictors of work adjustment. In this paper, it is asserted that the success of the expatriation process depends not only on the expatriate manager's competencies and skills, but also on organizational (both parent-company and local-unit) support and assistance prior to and during the assignment. Various international human resource management models are utilized to examine the organizational level antecedents of expatriate adjustment. Managerial resourcefulness, acculturation attitudes, personality dimensions and coping strategies are discussed in relation to individual predictors, whereas MNCs' international structure, value orientation, organizational life-cycle, diversity training, strategic planning and socialization are proposed as organizational predictors of expatriate adjustment.

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Crossref · 10.1080/095851997341540

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Metadata

Authors
Aycan, Z.
Venue
The International Journal of Human Resource Management
Published
1997-01
Volume
8
Issue
4
Pages
434-456
ISSN
  • 0958-5192 (ISSN-L)
  • 1466-4399
OpenAlex
W2116847477
Cited by
353
References
3
FWCI
12.21
Type
journal article
Language
en
Open access
closed

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.