Predictors of research productivity of academic staff in Kyambogo University: an empirical study based on mantikayan and abdulgani’s (2018) mode
Date
2023-05
Journal Title
Journal ISSN
Volume Title
Publisher
Journal of the National Council for Higher Education
Abstract
The research productivity (RP) of academic staff is of utmost significance
as it contributes to the advancement of knowledge, enhances institutional
reputation, facilitates funding opportunities, improves teaching quality,
and enhances societal impact. In this research we aimed to investigate the
predictors of RP among academic staff at Kyambogo University (KyU). Based
on Mantikayan and Abdulgani’s (2018) model, we had four study objectives:
to examine whether ascriptive, individual, leadership, and institutional
factors predicted RP. Using a positivist research paradigm and a predictive
cross-sectional survey design, data was collected through a questionnaire
survey from 165 academic staff. Multiple linear regression was employed
for data analysis. The findings revealed that ascriptive, leadership and
institutional factors did not significantly predict RP. However, under the
individual factor, it was found that only the constructs of motivation and
research skills were significant and positive predictors of RP. The study
concluded that Mantikayan and Abdulgani’s model lacked a comprehensive
explanation of RP among academic staff at KyU. Therefore, there is a need
for further research to develop a more inclusive model or framework that
can capture the diverse factors influencing RP within the specific context
Description
Keywords
Kyambogo University, Mantikayan and Abdulgani’s (2018) model, Predictor, Regression, Research productivity
Citation
KOMBA, R. L., EK, B. F., & DAVID, O. (2023). Predictors of Research Productivity of Academic Staff in Kyambogo University: An Empirical Study Based on Mantikayan and Abdulgani’s (2018) Model. Journal of the National Council for Higher Education Vol, 10(2), 264.