The datafication of talent: how technology is advancing the science of human potential at work. (December 2017)

• Record Type: Journal Article
• Authors: Chamorro-Premuzic, Tomas; Akhtar, Reece; Winsborough, Dave; Sherman, Ryne A
• Is Part Of: Current opinion in behavioral sciences. Volume 18(2017)
• Page Start: 13
• Page End: 16
• Publication Date: 2017-12
• Subjects: Psychology -- Periodicals; 150.5
• DOI: 10.1016/j.cobeha.2017.04.007
• Languages: English
• ISSNs: 2352-1546

Abstract

Highlights: This article reviews nascent technologies that have the potential to revolutionize HR analytics and the identification of employee talent. We discuss the efficacy of machine learning, social sensing technology and gamification, as alternative ways to measure individual differences. We highlight critical opportunities for those who are interested in the advancing the research and practice of this field. Abstract : This article reviews three innovations that not only have the potential to revolutionize the way organizations identify, develop and engage talent, but are also emerging as tools used by practitioners and firms. Specifically, we discuss (a) machine-learning algorithms that can evaluate digital footprints, (b) social sensing technology that can automatically decode verbal and nonverbal behavior to infer personality and emotional states, and (c) gamified assessment tools that focus on enhancing the user-experience in personnel selection. The strengths and limitations of each of these approaches are discussed, and practical and theoretical implications are considered.