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Flexible Work Arrangements and Employee Performance in Public Universities, Kenya
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This study examined the effect of flexible work arrangements on employee performance in public Universities in Kenya. The study was anchored on three theories that included Job Demands-Resource Model and Social Exchange Theory. A cross-sectional survey research design was utilized to collect data from a target population of 26,630 employees working for Public Universities in Kenya. A sample size of 384 respondents was drawn as determined by Krecjie and Morgan formulae. Sampling techniques comprised stratified sampling of the teaching and the non-teaching staff, followed by a proportionate allocation and finally, simple random sampling from each of the stratum. Both descriptive and inferential statistics were used to analyse the data collected. Descriptively, it was analysed in terms of means, standard deviations and percentages. Results were presented in tables. Inferential statistic results were obtained by carrying out both correlation bivariate and linear regression analysis were used to test for the degree of association (correlations) between flexible work arrangements and employee performance in Public Universities. The findings highlighted that flexible work arrangement had a positive and significant effect on employee performance. The study concluded that there is a positive and significant correlation between flexible work arrangements and the performance of employees in Public Universities in Kenya, which implies that when flexible work arrangements are low, then the performance of employees in Public Universities in Kenya will decline. Therefore, it is the recommendations of this study that there should be very deliberate efforts to align the objectives of the organization and public universities to be precise, with requirements of the individual employee, in view of flexibility in the arrangement of their work. Furthermore, public Universities should enhance the quality of employees’ work and family lives by redesigning their work schedule
Title: Flexible Work Arrangements and Employee Performance in Public Universities, Kenya
Description:
This study examined the effect of flexible work arrangements on employee performance in public Universities in Kenya.
The study was anchored on three theories that included Job Demands-Resource Model and Social Exchange Theory.
A cross-sectional survey research design was utilized to collect data from a target population of 26,630 employees working for Public Universities in Kenya.
A sample size of 384 respondents was drawn as determined by Krecjie and Morgan formulae.
Sampling techniques comprised stratified sampling of the teaching and the non-teaching staff, followed by a proportionate allocation and finally, simple random sampling from each of the stratum.
Both descriptive and inferential statistics were used to analyse the data collected.
Descriptively, it was analysed in terms of means, standard deviations and percentages.
Results were presented in tables.
Inferential statistic results were obtained by carrying out both correlation bivariate and linear regression analysis were used to test for the degree of association (correlations) between flexible work arrangements and employee performance in Public Universities.
The findings highlighted that flexible work arrangement had a positive and significant effect on employee performance.
The study concluded that there is a positive and significant correlation between flexible work arrangements and the performance of employees in Public Universities in Kenya, which implies that when flexible work arrangements are low, then the performance of employees in Public Universities in Kenya will decline.
Therefore, it is the recommendations of this study that there should be very deliberate efforts to align the objectives of the organization and public universities to be precise, with requirements of the individual employee, in view of flexibility in the arrangement of their work.
Furthermore, public Universities should enhance the quality of employees’ work and family lives by redesigning their work schedule.
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