ABSTRACT. Based on an in-depth survey of the literature, the purpose of the paper is to better understand the relationship between evidence-based management practices, artificial intelligence recruiting software, and automated hiring decisions. Using and replicating data from Bright & Company, Corporate Research Forum, Deloitte, IBM Institute for Business Value, McKinsey, MIT Sloan Management Review, Top Employers Institute, and Management Events, I performed analyses and made estimates regarding workforce analytics implementation challenges in human resources (%) and revolutionary ways to utilize augmented reality and virtual reality in human resources (%). Data were analyzed using structural equation modeling.
JEL codes: E24; J21; J54; J64

Keywords: data-driven processing employment; automated hiring decision

How to cite: Bekken, Gregory (2019). “The Algorithmic Governance of Data driven-Processing Employment: Evidence-based Management Practices, Artificial Intelligence Recruiting Software, and Automated Hiring Decisions,” Psychosociological Issues in Human Resource Management 7(2): 25–30. doi:10.22381/PIHRM7220194

Received 19 July 2019 • Received in revised form 10 September 2019
Accepted 14 September 2019 • Available online 11 October 2019

Gregory Bekken
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The Center for Big Data-driven
Algorithmic Decision-Making
at ISBDA, Perth, Australia

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