East African School of Higher Education Studies and Development (EASHESD)
Permanent URI for this community
Browse
Browsing East African School of Higher Education Studies and Development (EASHESD) by Subject "Academic Staff"
Results Per Page
Sort Options
-
ItemDeterminants of Research Productivity of Academic Staff in Somali National University, Mogadishu(Makerere University., 2022-05-05) Ali, Omar Abdullahi MohamedThis study explored the determinants of research productivity (RP) of academic staff in Somalia's Somali National University (SNU). It was guided by three study objectives which associated individual characteristics, institutional characteristics, and leadership characteristics as determinants of research productivity of academic staff. Reportedly low levels of research productivity among academic staff in most higher education institutions (HEIs) in Somalia prompted the study. This study was a descriptive cross-sectional survey research design; the researcher collected data using a pre-tested self-administered questionnaire from a target sample of 186 academic staff drawn across ten faculties of the SNU. The data were analysed with the use of descriptive and inferential statistical techniques. The study's findings revealed no significant relationship between institutional characteristics and the research productivity of academic staff at SNU, while individual characteristics and leadership characteristics were significantly positively related to the research productivity of academic staff. Therefore, the study concluded that institutional characteristics were not significantly related to the research productivity of academic staff, whereas individual characteristics and leadership characteristics were both significantly positively related to the research productivity of academic staff.Therefore, the study recommended that the university and government improve the university's lecturers and managers to increase the research productivity of the staff of the University.
-
ItemPredictors of research productivity of academic staff in Kyambogo University, Uganda(Makerere University, 2022-11-22) Rwakijuma, Leticia KombaThis study examined whether ascriptive, individual, leadership and institutional factors predict research productivity of academic staff at KyU as suggested by Mantikayan and Abdulgani (2018) model. Specifically, the study looked at whether ascriptive, individual, leadership and institutional factors were predictors of research productivity. In the study, four research hypotheses were tested. The first hypothesis (H1) postulated that ascriptive factors (gender, age, & personality) were predictors of research productivity. The second hypothesis (H2) suggested that individual factors (self-efficacy, motivation, commitment, research orientation, & research skills) were predictors of research productivity. The third hypothesis (H3) postulated that leadership factors (regard of a leader as a scholar & research-oriented) were predictors of research productivity. The fourth hypothesis (H4) suggested that institutional factors (mentoring, resource support rewards, the sufficiency of work time, culture, & emphasis on research) were predictors of research productivity. Using the positivist research paradigm and the predictive cross-sectional survey design, data were collected from 165 academic staff using the questionnaire survey method. In terms of analysis the four hypotheses (H1 - H4) were tested using multiple linear regression models. The study findings showed that the three hypotheses (H1, H3 & H4) were not supported. The second hypothesis (H2) had only two constructs namely: motivation (β = 0.215, p = 0.025) and research skills (β = 0.246, p = 0.008) being significantly positive predictors of research productivity. It was thus concluded that Mantikayan and Abdulgani’s model does not adequately explain the factors that predict the research productivity of academic staff in Kyambogo University. Therefore, I recommend that the University management should put more emphasis in strengthening the motivation and the research skills of the academic staff in order to improve their research productivity.