Time:November 5th, 2023 (Sunday), 9:00 am -11:00 am
Place:Online report - Tencent Meeting: 958-247-281
Speaker:Xiong Xiong
Department of Management and Economics, Tianjin University
Organizer:School of Management, Hefei University of Technology
Abstract:This presentation mainly analyzes and summarizes the impact of overtime work on employee productivity. We use data for employee review and employee text review on a recruitment application website from a leading company in China to measure the company's overtime work level. Our research results show that companies with higher level of overtime work tend to have lower employee productivity. After addressing the potential endogeneity problems and making alternative measures for company overtime levels and employee productivity, our findings are robust. Employee satisfaction seems to be a channel through which overtime work affects employee productivity. In the end, we find that the negative relationship between company overtime levels and employee productivity is more significant after deleting sentences without the keyword "overtime" (hereinafter referred to as processed text review), especially for companies with more information in text review containing the keyword "overtime". In addition, when external monitoring is stricter and the proportion of low-skilled employees is higher, the negative emotions of processed text review will be stronger, or when the company has overtime pay or compensatory leave policies, the negative relationship between overtime level and employee productivity will be also more obvious. Overall, our research emphasizes the negative economic consequences of overtime work and the importance of scientifically managing employees' working hours.
Biography:Xiong Xiong is a professor, doctoral supervisor, and deputy director of the Department of Management and Economics at Tianjin University. His main research interests include big data finance, computational experimental finance, enterprise development and financial strategies, etc. He serves as Deputy Secretary General of the Systems Engineering Society of China, Director of the Financial Systems Engineering Technical Committee, Vice Chairman of the Decision Division of the Operations Research Society of China, Vice Chairman of the Quantitative Finance and Insurance Division of the Chinese Society of Optimization, Overall Planning and Economical Mathematics, and Deputy Director of the Financial Science and Technology Committee of the China Information Economics Society. He has published over 80 academic papers and 2 monographs. He has hosted and completed more than 10 projects at national, provincial, and ministerial levels, including the key program from the National Natural Science Foundation of China (NSFC). Currently, he is leading the Special Program of NSFC for "Research on Computational Experimental Modeling Based on the Complex Relevance of China's ‘Real Economy - Financial System’ ", and the National Key R&D Plan Program for "Intelligent Simulation System Based on Market Behavior Feature Extraction and Information Economics". In 2007, he was awarded the "New Century Excellent Talent Support Program" by the Ministry of Education. In 2010, he was awarded the Tianjin Youth Science and Technology Award. In 2017, the "Big Data Financial Quantitative Team" led by him was selected as the "High-level Innovation and Entrepreneurship Team" of Tianjin. In 2018, he was selected as the "Five One-Batch" Talents for Tianjin Propaganda Culture. In 2020, the "Financial Engineering and Digital Finance Innovation Team" led by him was selected as the "Innovation Team in Key Field " of Tianjin.
