Crowdsourcing Leadership: Evaluating CEO Performance via Big Data and Public Digital Records

Practice Area Division(s): Industrial/Organizational

Topic: Testing, Measurement, and Psychometrics

Session Type: Breakout

Would you hire Steven Ballmer, or Silvio Berlusconi, without first giving them a psychometric test? This talk will examine how public digital records of CEO's reputation and big data analytics may improve our ability to predict leadership performance vis-a-vis established methods, such as valid psychometric tests. In line, it will discuss how recent innovations in talent identification (e.g., social media analytics, gamification, and big data) may impact our ability to assess leadership potential. For example, to what degree can we effectively evaluate CEO's emotional intelligence from their digital reputation? Can public employee engagement data be used to predict future CEO performance? And can CEO's online footprint predict future levels of employee engagement? Theoretical and practical implications, as well as ethical issues, will be discussed.

Presenter: Tomas Chamorro-Premuzic, University College London