Effect of Compressed Work Schedule on Employee Productivity in County Pension Fund Services
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Date
2025-09
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The Strategic Journal of Business & Change Management
Abstract
The objective of the research is to establish the effect of compressed work schedule on employee productivity. The Demand Control Model serves as the study's pillar. The research design used in the study was descriptive. A total of 300 personnel were drawn from all County Pension Fund tasks, according to Human Resource at County Pension Fund Financial Services. In this investigation, a stratified random sampling technique was employed. Using a stratified random sampling technique, homogeneous groups of the population elements was created. The sample proportion was then be assigned to each strata using a straightforward random sampling approach. A sample of 171 participants was derived using the Yamane statistical procedure. Primary data was used which was gathered via a standardized questionnaire. The Statistical Package for Social Science, version 29, was utilized to examine the information gathered. Two of the data analysis techniques that was applied are multiple regression analysis and descriptive statistics. The report would be helpful to academics researching human resource development and human resource policy makers. The data was presented using frequency tables. The study findings revealed that compressed work schedule had the strongest correlation with employee productivity. The correlation between part time arrangement and employee productivity was the least. The study concludes that compressed work schedule has significant effect on employee productivity in County Pension Fund Financial Services. The study recommends that the management of County Pension Fund Financial Services expand opportunities for employees to work from home outside of regular business hours and ensure robust infrastructural support for telecommuting, such as providing necessary tools and resources.
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Jerono, C., & Bula, H. (2025) Effect of compressed work schedule on employee productivity in county pension fund financial services. The Strategic Journal of Business & Change Management, 12 (1), 148 – 156. http://dx.doi.org/10.61426/sjbcm.v12i1.3176