| dc.description.abstract | The main objective of the study is to find out the effect of work life balance on employee
productivity in institutions of higher learning. Work life balance is all about attaining a balance
between professional work and other non-work activities; life and family. Work life balance
initiatives if well implemented enhance efficiency and thus the productivity of employees’
increases. It brings about satisfaction in both the professional and personal life aspects of an
employee. The study looked at problems that may arise as a result of poor balance between life
and work, or lack of implementation of work life balance as well as the benefits that may be
experienced as a result of proper balance between work and life. This study sought to shed light
on work life balance practices by Kenyan universities, to establish the level of employee
productivity and find out the relationship between work life balance and employee productivity
Kenyan Universities .The study sought to achieve four objectives; to determine the effect of
flexible working arrangements on employee productivity, to determine the effect of employee
health and well- being initiatives on employee productivity, to find out the effect of career
development on employee productivity and to assess the effect of leave arrangements on
employee productivity. The study used descriptive survey; the research design was stratified
random sampling because of the distinctive nature of the population. The sample size was 352
respondents comprising of both teaching and non-teaching employees from KCA University and
Jomo Kenyatta University of Technology. The data was collected using structured questionnaires
which were administered by the researcher. Data collected was analyzed using both descriptive
and inferential statistics. SPSS (21) was used to analyze and results obtained indicated that work
life balance initiatives was significant as performance measurement model and the strength of
the relationship between employee productivity and each of the independent variable
performance measurement had a significant effect on employee productivity. Data analyzed
showed good reliability and multi-collinearity was present. Multiple regression analysis was
positively significant and presented using tables. | en_US |
