The Relationship Between Workplace Robots, Employee Exhaustion, and Turnover Intentions in the Age of Industry 5.0: Research From Four Southeastern European Countries

Nikolić Jelena Lukić () and Labus Pero ()
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Nikolić Jelena Lukić: Jelena Lukić Nikolić, PhD (Corresponding author) Associate Professor, Modern Business School, Department for Management and Marketing, Terazije 27/4, Belgrade, Serbia
Labus Pero: Pero Labus, PhD, Director of Food and Beverage / Consultant full time, Hotel Ambasador; Retoi d.o.o. Trumbićeva obala 18, Split, Croatia

South East European Journal of Economics and Business, 2024, vol. 19, issue 2, 103-118

Abstract: This paper examines and analyzes the relationship between workplace robots, employee emotional exhaustion, and turnover intentions within the context of Industry 5.0. Empirical research was conducted from January to May 2024. During this period, a total of 582 respondents from four Southeastern European countries (Serbia, Croatia, Montenegro, Bosnia and Herzegovina) participated in the research. The proposed relationships between variables were tested by using the partial least squares method for structural equation modeling (PLS-SEM, SmartPLS software). The research results confirmed that the emotional exhaustion of employees had a positive relationship with turnover intentions, while workplace robots’ effects were negatively related to employee emotional exhaustion and turnover intentions. Leaders, managers, and human resource professionals may benefit from the findings presented in this paper, especially during the decision-making process on how to reduce the emotional exhaustion of employees by using workplace robots, which, in the end, will result in employee retention.

Keywords: Industry 5.0; Workplace Robots; Emotional Exhaustion; Turnover Intentions; Employee Retention (search for similar items in EconPapers)
JEL-codes: M54 O33 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:seejeb:v:19:y:2024:i:2:p:103-118:n:1007

DOI: 10.2478/jeb-2024-0018

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