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dc.contributor.authorAsekenye, Christine
dc.date.accessioned2019-10-01T13:17:11Z
dc.date.available2019-10-01T13:17:11Z
dc.date.issued2018-01
dc.identifier.citationAsekenye, Christine (2018) Remuneration and Performance of Academic Staff in Private Universities: A case of Kampala International Universityen_US
dc.identifier.urihttps://hdl.handle.net/20.500.12305/730
dc.description.abstractThe study investigated the relationship between remuneration and performance of academic staff of private universities: a case of Kampala International University. The general purpose of the study was to investigate the relationship between remuneration and performance of academic staff of Kampala International University. The study examined salary, pay incentives and benefit packages as the independent variables while performance was the dependent variable. Salary was examined using two dimensions of pay structures and pay systems. Pay incentives had three dimensions which included: allowances, bonuses and wages. Benefit packages had three dimensions: tuition fees assistance, gratuity and health insurance. Performance had three dimensions of quality of reports made, compliance with academic standards and innovation in academic output. The study looked at salary, pay incentives and benefit packages and how they affect performance of academic staff of KIU. The case study design using both qualitative and quantitative techniques was used to collect the data. The study population included principals of colleges, heads of department, quality assurance staff, human resource department staff and lecturers. Data collection was done using self administered questionnaires and interviews. The questionnaire was designed with statements that required respondents to state their views of either agreement or disagreement using a five point Likert scale ranging from strongly disagree to strongly agree. The interview guide was used to have a direct interaction with the respondents to probe and get indepth information about the variable understudy in KIU. For purpose of analyzing quantitative data, descriptive statistics (frequencies and percentages) was used to determine the distribution of the respondents on personal information and on the questions under each of the variables. Inferential statistics (correlation coefficient of determination and regression) were used to test the hypotheses. Qualitative data was analyzed using content analysis. Specifically the study findings revealed that there is a positive significant relationship between salary and performance (rho = .630, p=.000). There is a positive significant relationship between pay incentives and xiii performance (rho = .622, p=.000) It was further revealed that there is a positive significant relationship between work benefits and performance (rho = .727, p=.000). It was concluded that salary pay structure based on skills and competencies as well as salary payment to staff based on roles and responsibilities lead to improved employee performance. In addition, to that monitory incentives have a great effect on employee performance and work benefit packages motivate staff members to improve performance. The study revealed discontentment among the academic staff regarding the salary, inadequate pay incentives and work benefit packages compared to their qualifications and efforts. It was therefore recommended that management at KIU should increase staff salary within the existing payment structures. There should be a uniform salary increment made across all salary scales, allowances and wages which staff members receive per extra hour worked be increased. Furthermore, the university should provide health insurance benefits to all academic staff members in order to improve overall performance.en_US
dc.language.isoenen_US
dc.publisherUganda Management Instituteen_US
dc.subjectRemunerationen_US
dc.subjectPerformanceen_US
dc.subjectAcademic Staffen_US
dc.subjectPrivate Universitiesen_US
dc.titleRemuneration and Performance of Academic Staff in Private Universities: A case of Kampala International Universityen_US
dc.typeThesisen_US


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