Sustainable Total Reward Strategies for Talented Employees’ Sustainable Performance, Satisfaction, and Motivation: Evidence from the Educational Sector
Musaddag Elrayah () and
Yahdih Semlali
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Musaddag Elrayah: Department of Management, School of Business, King Faisal University, Al-Ahsa 31982, Saudi Arabia
Yahdih Semlali: Department of Management, School of Business, King Faisal University, Al-Ahsa 31982, Saudi Arabia
Sustainability, 2023, vol. 15, issue 2, 1-13
Abstract:
The importance of sustainable human resource practices is increasing yearly. During COVID-19, many benefits and compensation strategies became increasingly important for employees. Working environments are described as one of the main factors that affects people’s lives while they are at work. This empirical study explores the impact of sustainable total reward strategies on sustainable talented employee performance, satisfaction, and motivation in the education field, using a quantitative research method. Data were collected from an annual survey developed by the Organization for Economic Co-operation and Development (OECD). The participants of this survey were residents of 47 different countries and economies, and a total of 153,682 teachers participated. The annual survey’s main goal is to generate reliable, valid, and comparable population estimates based on sample data. Data were analyzed using Pearson’s correlation and SPSS version 24. The findings of this research show a positive correlation between total sustainable rewards and sustainable employee performance (B = 0.079, p < 0.01), satisfaction (B = 0.370, p < 0.01), and motivation (B = 0.427, p < 0.01). These results might have social and economic implications, especially in the educational sector.
Keywords: total reward; sustainable; performance; satisfaction; motivation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (3)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:2:p:1605-:d:1035300
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