Abstract
Rapid changes in selection technologies have impacted inexorably the science and practice of personnel selection in recent years. Technological advances are allowing organizations to use new internet-based selection procedures (IBSPs) as well as big data and analytics to make empirical-based employment decisions by collecting and analyzing the digital footprints that job applicants leave behind them in social networks, social media and other internet platforms. The aim of the paper is to make a contribution to these important and emerging issues by reviewing the literature in this area and designing a study to examine applicant privacy and fairness reactions to 10 types of new selection procedures. It also aims to examine the application of these new selection and assessment practices in organizations across 10 countries.