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From brain drain to brain gain in emerging markets : exploring the new agenda for global talent management in talent migration

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2022

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Mao, Yanbing
Latukha, Marina

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European Journal of International Management. Inderscience Publishers. 2022, 17(4), pp. 564-582. ISSN 1751-6757. eISSN 1751-6765. Available under: doi: 10.1504/ejim.2020.10025787

Zusammenfassung

The research aims to provide a review of the brain gain and brain drain phenomena in the emerging market context. Specifically, we investigate the push and pull factors of talent migration focusing at society-, firm-, industry- and location-specific determinants, and develop a theoretical framework that establishes the relationships between different types of factors and global talent management. The paper extends the understanding of the role of global talent management and global talent mobility in non-Western contexts. Through a series of propositions, we claim that global talent management, as a system of practices aimed at attracting, developing and retaining talented workers on a global scale, may serve as a mediator in transforming outward talent migration into inward talent migration, thus stimulating future empirical research on the topic.

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Fachgebiet (DDC)
330 Wirtschaft

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brain drain, brain gain, emerging markets, global talent management, talent migration

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ISO 690MAO, Yanbing, Marina LATUKHA, Louisa SELIVANOVSKIKH, 2022. From brain drain to brain gain in emerging markets : exploring the new agenda for global talent management in talent migration. In: European Journal of International Management. Inderscience Publishers. 2022, 17(4), pp. 564-582. ISSN 1751-6757. eISSN 1751-6765. Available under: doi: 10.1504/ejim.2020.10025787
BibTex
@article{Mao2022brain-68663,
  year={2022},
  doi={10.1504/ejim.2020.10025787},
  title={From brain drain to brain gain in emerging markets : exploring the new agenda for global talent management in talent migration},
  number={4},
  volume={17},
  issn={1751-6757},
  journal={European Journal of International Management},
  pages={564--582},
  author={Mao, Yanbing and Latukha, Marina and Selivanovskikh, Louisa}
}
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