Repository logo
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Yкраї́нська
  • Log In
    New user? Click here to register.Have you forgotten your password?
Repository logo
  • Communities & Collections
  • All of DSpace
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Yкраї́нська
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Jerono, Caroline"

Now showing 1 - 1 of 1
Results Per Page
Sort Options
  • Loading...
    Thumbnail Image
    Item
    Effect of Compressed Work Schedule on Employee Productivity in County Pension Fund Services
    (The Strategic Journal of Business & Change Management, 2025-09) Jerono, Caroline; Bula, Hannah
    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.

DSpace software copyright © 2002-2026 LYRASIS

  • Cookie settings
  • Privacy policy
  • End User Agreement
  • Send Feedback