The Effect of Supervision on Working Efficiency: How is Working Overtime Driven?
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The Effect of Supervision on Working Efficiency: How is Working Overtime Driven?

Dianyu Li 1* Yelin Deng 2, Chengjia Wang 3
1 Shihezi University
2 the Affiliated High School of South China Normal University (HFI)
3 Shanghai High School International Division
*Corresponding author: michaelli20050308@163.com
Published on 19 November 2025
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AEMPS Vol.241
ISSN (Print): 2754-1177
ISSN (Online): 2754-1169
ISBN (Print): 978-1-80590-541-7
ISBN (Online): 978-1-80590-542-4
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Abstract

As the phenomenon of overtime working causes significant social harm, especially in China, to effectively make policies against this issue, it became vital to decode the factors that drives people to work overtime. Aside from the “involution” conformity pressure and intrinsic motivation, we believe that supervision from an authoritative figure plays a key role under different conditions. Within our study, by analyzing our data from a questionnaire we distributed on our own with linear regression and entropy weighting, we derived at the conclusion that: (1) supervision can significantly improve the overtime working efficiency and tendency of the employees. (2) Autocratic supervision exerts the strongest influence (+18.45% willingness, +19.59% acceptance) on the employee’s tendency to work overtime. (3) Normative social influence acts as the primary motivator for overtime working among employees generally (64.02 entropy weight), outweighing reciprocity (50.04), signaling (44.31), and intrinsic motivation (21.73). (4) Supervised settings increase predicted overtime efficiency by 5.45%.

Keywords:

Overtime Working, Regression, Entropy Weighting

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Li,D.;Deng,Y.;Wang,C. (2025). The Effect of Supervision on Working Efficiency: How is Working Overtime Driven?. Advances in Economics, Management and Political Sciences,241,1-14.

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Cite this article

Li,D.;Deng,Y.;Wang,C. (2025). The Effect of Supervision on Working Efficiency: How is Working Overtime Driven?. Advances in Economics, Management and Political Sciences,241,1-14.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

About volume

Volume title: Proceedings of ICFTBA 2025 Symposium: Global Trends in Green Financial Innovation and Technology

ISBN: 978-1-80590-541-7(Print) / 978-1-80590-542-4(Online)
Editor: Lukáš Vartiak, Sun Huaping
Conference date: 20 November 2025
Series: Advances in Economics, Management and Political Sciences
Volume number: Vol.241
ISSN: 2754-1169(Print) / 2754-1177(Online)