The COVID-19 pandemic has significantly driven the development of people analytics (PA). Thus, PA has become the fastest-growing area of human resource (HR) management today. PA application is crucial to organizations’ decision-making in the “next normal.” Certain research shows that HR managers and professionals lack the “must-have capabilities” which highlights the importance of developing new skills related to PA use and implementation. Moreover, enrichment of related competencies is necessary to support the new frame of decision-making activities. Recent discussion on big data (BD) is interpreted according to the resource-based theory. Consequently, the concept of BD analytics capability is used to introduce a theoretical model that considers HR departments’ traditional capabilities and new skills that consider different information flows from BD processing.

People analytics and the future of competitiveness: Capabilities human resource departments need to succeed in the “new normal

Antonelli G.
2021-01-01

Abstract

The COVID-19 pandemic has significantly driven the development of people analytics (PA). Thus, PA has become the fastest-growing area of human resource (HR) management today. PA application is crucial to organizations’ decision-making in the “next normal.” Certain research shows that HR managers and professionals lack the “must-have capabilities” which highlights the importance of developing new skills related to PA use and implementation. Moreover, enrichment of related competencies is necessary to support the new frame of decision-making activities. Recent discussion on big data (BD) is interpreted according to the resource-based theory. Consequently, the concept of BD analytics capability is used to introduce a theoretical model that considers HR departments’ traditional capabilities and new skills that consider different information flows from BD processing.
2021
978-981-16-7098-5
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11564/822875
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact