ABSTRACT. Empirical evidence on big data-driven accountability systems has been scarcely documented in the literature. Using and replicating data from Bright & Company, Corporate Research Forum, Deloitte, Management Events, McKinsey, PwC, and Top Employers Institute, I performed analyses and made estimates regarding “strategic positioning” factors that standout between starting analytical organizations and developed analytical organizations (%). Data were analyzed using structural equation modeling.
JEL codes: E24; J21; J54; J64

Keywords: hiring algorithm; big data-driven accountability system; performance

How to cite: Pera, Aurel (2019). “Towards Effective Workforce Management: Hiring Algorithms, Big Data-driven Accountability Systems, and Organizational Performance,” Psychosociological Issues in Human Resource Management 7(2): 19–24. doi:10.22381/PIHRM7220193

Received 3 July 2019 • Received in revised form 10 September 2019
Accepted 12 September 2019 • Available online 11 October 2019