ABSTRACT. This research investigates the way artificial intelligence and automation shape talent attraction and retention. Building our argument by drawing on data collected from the Boston Consulting Group, LinkedIn, MIT Sloan Management Review, Software Advice, and Statista, we performed analyses and made estimates regarding skills that artificial intelligence is least likely to replace, business organizations’ reasons for adopting artificial intelligence, barriers to artificial intelligence adoption in organizations, links between artificial intelligence and general organizational capabilities, and top trends shaping the future of recruiting and hiring. The data for this research were gathered via an online survey questionnaire and were analyzed through structural equation modeling on a sample of 3,600 respondents.
JEL codes: E24; J21; J54; J64
Keywords: artificial intelligence; automation; talent; attraction; retention
How to cite: Wilkinson, Wyoma, Ivana Podhorska, and Anna Siekelova (2019). “Does the Growth of Artificial Intelligence and Automation Shape Talent Attraction and Retention?,” Psychosociological Issues in Human Resource Management 7(1): 30–35. doi:10.22381/PIHRM7120192
Received 11 January 2019 • Received in revised form 18 March 2019
Accepted 22 March 2019 • Available online 1 May 2019