Theory testing and replication studies in the global work domain
Global work—any work arrangement that spans multiple countries and involves employees who are collaborating with one another, are culturally diverse and often are geographically dispersed—is a fascinating and timely research domain given the current social, technological, and geopolitical landscape....
| Autores: | , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Universidad de Navarra |
| Repositorio: | Dadun. Depósito Académico Digital de la Universidad de Navarra |
| Idioma: | inglés |
| OAI Identifier: | oai:dadun.unav.edu:10171/116528 |
| Acceso en línea: | https://hdl.handle.net/10171/116528 |
| Access Level: | acceso abierto |
| Palabra clave: | Global work Global mobility Expatriate Adjustment Careers |
| Sumario: | Global work—any work arrangement that spans multiple countries and involves employees who are collaborating with one another, are culturally diverse and often are geographically dispersed—is a fascinating and timely research domain given the current social, technological, and geopolitical landscape. It may therefore be particularly tempting to explore novel theories and phenomena, and we have indeed seen a proliferation of new theories over recent years. However, we argue the global work domain needs to balance new theory development more carefully with theory testing and replication if it is to build cumulative scientific knowledge. In this editorial, we review established models and newer theories of global work that offer opportunities for theory testing, including (a) expatriate adjustment and adaptation theories, (b) models of global leadership effectiveness and expatriate managerial behavior, and (c) frameworks of global career consequences. We also identify existing empirical studies, whose replications would help advance the global work domain. This involves (a) deductively testing inductively developed models, (b) expanding existing studies to other types of global workers or adding meaningful new variables to a conceptual model that was examined, (c) using alternative methodological approaches to assess the predictions or research questions, or (d) adopting novel measures. |
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