Hoy ha sido el último día del 7º Workshop de Gestión del Talento que se ha celebrado en Helsinki. Ha sido una excelente experiencia en la que investigadores y profesionales han compartido resultados y discusiones de sus proyectos, investigaciones y experiencias profesionales. He podido escuchar a expertos en el tema como Wayne Cascio, Vlad Vaiman, Hugh Scullion, David Collings y Anthony McDonnell. El próximo año, el workshop tendrá lugar en la Escuela de Negocios de Toulouse (Francia). Así que podremos ir en coche.

En el workshop, Eva Gallardo y yo hemos presentado nuestro trabajo: Descifrando Talent Analytics. El trabajo ha sido muy bien acogido y ha atraído la atención de un número significativo de asistentes. Así que continuamos con renovado entusiasmo en la investigación de Talent Analytics.

Os adjunto el resumen de nuestro trabajo:

Nowadays the use of huge amount of data suggests new ways to solve problems and create value in organizations, which make Business Analytics a valuable and interesting tool. The HR management domain is not immune to this trend and Talent Analytics has emerged as a hot topic for practitioners and academics. However, few is known about what is in this domain. Thus, the purpose of this paper is to provide an overview of the existing literature on Talent Analytics (TA). In short, we want to answer to these questions: What is meant by TA? How much do we know about that? In order to answer these questions, we have performed a scoping review based on the several types of publications collected in Scopus (Elsevier). The results show that the field of TA is underdeveloped, both in the academic and in the practitioner’s literature. There aren’t significant differences among them. Publications can be divided into two main groups: (1) development of frameworks for the design, implementation and use of TA, listing its main pitfalls; and (2) case descriptions of the design, implementation and use of TA, which are characterized primarily by systems that focus solely on descriptive rather than predictive or prescriptive analysis. Finally, we suggest five future research lines about TA.