He Influence of Work Flexibility on Performance of Academic Staff in Public Universities Kenya

The increase in enrolling students in Kenyan public universities has constrained most institutions to concoct methods of guaranteeing that academic staff has adequate contact hours with the students. However, it is noted that the number of enrolments does not emphatically match the quantity of academic staff in Kenyan state-funded universities. The most proficient proportion is 1:30 at the undergraduate level for students doing sociologies. Government organizations and guidelines demand great standards in universities and subsequently, it is critical to guarantee that academic staff is exceptionally motivated to improve their job execution. Past research has demonstrated that work design affects the execution of duties by academic staff. Then again, work configuration is significantly described by work flexibility. The particularity of work flexibility as a variable that impacts the work performance provoked the research herein in which the author attempts to find the impact of workplace flexibility on the job performance of academic staff in public universities in Kenya. The examination utilized an exploratory research design that aimed to acquire data on scholarly staff. A multistage analysis was utilized to pick respondents who partook in the examination. Vide simple random sampling, 10 state-funded universities, and 206 scholarly staff were picked, and the scholastic staff was categorized based on state-funded universities in Kenya. Closed-ended questionnaires which included Likert-type scale questions were utilized to gather information. Information was broken down using descriptive statistics; mean, standard deviation, and inferential measurements; which included correlation, simple, and multiple regression analysis. The above analysis was utilized to test the hypotheses of the investigation. The research found out that the relationship between workplace flexibility and performance of academic staff was positively correlated and significant