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High potentials in multilatinas: creation of Latin American-specific models or convergence towards existing ones?

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Abstract

Multilatinas are part of the emergent multinational enterprises that have arisen from Latin America. Even though these firms are becoming increasingly important in the global economy, little is known about their talent management strategies and practices. This article seeks to understand, through a qualitative approach, the way in which the talent identification models were conceived, where they were sourced from and who contributed to their design (actors). Seventeen semi-structured in-depth interviews were conducted with Senior Corporate Talent Management Executives working for Multilatinas from Argentina, Brazil, Chile, Colombia and Mexico. Our findings revealed a fragmented scenario. Most of the multilatinas do not copy a complete or “best practice” model, they create a new hybrid one. As Multilatinas draw upon some elements of European and US models in order to create their own, some mimetic and normative pressures were identified. Participant firms, in general, count on internal actors to build their talent identification models, downplaying the importance of international consultancy firms. Finally, relying on the obtained results, a classification is proposed.

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... Despite the increasing role of multilatinas in the global arena, talent identification and TM literature on Latin American MNEs is scarce. Extant studies have focused on potential models (Blanco et al., 2019); performance management (Mellahi et al., 2016); retention (Ambrosius, 2018); expatriation and recruitment (Hatum et al., 2008); and other TM practices (MacLennan et al., 2018). ...
... We have already mentioned the study of Mellahi et al., 2016 that identified that Brazilian MNEs tend to standardise performance management policies and practices in line with "global best practices". As to talent identification, most multilatinas create their own their own potential models, drawing upon some elements of Western ones (Blanco et al., 2019). ...
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