The datafication of talent: how technology is advancing the science of human potential at work

被引：67

作者：

Chamorro-Premuzic, Tomas ^{[1
,2
]}

Akhtar, Reece ^{[1
,2
]}

Winsborough, Dave ^{[1
]}

Sherman, Ryne A. ^{[3
]}

机构：

[1] Hogan Assessment Syst, 11 South Greenwood, Tulsa, OK 74012 USA

[2] UCL, Dept Psychol & Language Sci, 26 Bedford Way, London WC1H 0AP, England

[3] Florida Atlantic Univ, Dept Psychol, 777 Glades Rd, Boca Raton, FL 33431 USA

来源：

CURRENT OPINION IN BEHAVIORAL SCIENCES | 2017年 / 18卷

关键词：

JOB-PERFORMANCE; VIDEO GAMES; PERSONALITY; SELECTION; BEHAVIOR; INTELLIGENCE; PSYCHOLOGY; PREDICTORS; LEADERSHIP; ENGAGEMENT;

D O I：

10.1016/j.cobeha.2017.04.007

中图分类号：

B84 [心理学]; C [社会科学总论]; Q98 [人类学];

学科分类号：

03 ; 0303 ; 030303 ; 04 ; 0402 ;

摘要：

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.

引用

页码：13 / 16

页数：4

共 38 条

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