Julius Opolot Samuel
ID:
|
Organisational culture, organizational commitment, self-efficacy and turnover intentions among academic staff in selected universities in Uganda
REFNo: SS1898ES
To analyse the moderating effect of self-efficacy on the indirect relationship between organisational culture and turnover intentions through organisational commitment among academic staff in selected universities in Uganda.,To examine the moderating effect of self-efficacy on the relationship between organisational commitment and turnover intentions among academic staff in selected universities in Uganda.,To determine the moderating effect of self-efficacy on the organisational culture and turnover intentions among academic staff in selected universities in Uganda.,To examine the moderating effect of self-efficacy on the relationship between organisational culture and organisational commitment among academic staff in selected universities in Uganda.,To examine the mediating effect of organisational commitment on the relationship between organisational culture and turnover intentions among academic staff in selected universities in Uganda.,To assess the effect of organisational culture on organisational commitment among academic staff in selected universities in Uganda.,To establish the effect of self-efficacy on turnover intentions among academic staff in selected universities in Uganda.,To examine the effect of organisational commitment on turnover intentions among academic staff in selected universities in Uganda.,To determine the effect of organisational culture on turnover intentions among academic staff in selected universities in Uganda.,The general objective of the study is to examine the interaction effect of organisational culture, organisational commitment, and self-efficacy on turnover intent among academic staff in selected universities in Uganda.,
|
Uganda |
2023-09-27 17:53:12 |
2026-09-27 |
Social Science and Humanities |
Non-Clinical Trial |
Degree Award |
|
ELIZABETH AMUGE
ID: UNCST-2023-R008633
|
FACTORS AFFECTING QUALITY OF LIFE AND BARRIERS TO UPTAKE OF LOW VISION SERVICES AND UNIVERSITY SUPPORT AMONGST UNIVERSITY STUDENTS IN UGANDA
REFNo: HS2834ES
To determine the factors affecting quality of life and barriers to uptake of low vision services and university support by students with low vision and blindnes,To determine the barriers to utilization of university support by students with low vision and blindness,To determine the barriers to uptake of low vision services among the students with low vision and blindness.
|
Uganda |
2023-09-27 17:50:51 |
2026-09-27 |
Medical and Health Sciences |
Non-Clinical Trial |
Degree Award |
|
Courtney Blair
ID:
|
Understanding Ugandan Smallholder Farmers’ Perspectives on Risk in the Context of Input Adoption
REFNo: SS1724ES
To understand how agribusiness interact with smallholder farmers and the types of information they provide,To understand how idiosyncratic shocks impact rural households' ability to purchase agricultural inputs,
|
USA |
2023-09-27 17:47:11 |
2026-09-27 |
Social Science and Humanities |
Non-Clinical Trial |
Degree Award |
|
Conrad Muzoora Kihembe
ID: UNCST-2019-R001432
|
REDUCING MORTALITY IN ADULTS WITH ADVANCED HIV DISEASE (REVIVE)
REFNo: HS2892ES
To determine whether azithromycin is effective in reducing the incidence of new infection compared to placebo in adults with advanced HIV (CD4 ? 100 cells/mm3).,To determine whether azithromycin is effective in reducing mortality and hospitalisation at early and late timepoints (4weeks and 24weeks) compared to placebo in adults with advanced HIV (CD4 ? 100 cells/mm3).,To determine whether azithromycin is an effective and safe intervention to reduce excess mortality in adults with advanced HIV (CD4 ? 100 cells/mm3). ,
|
Uganda |
2023-09-27 17:43:49 |
2026-09-27 |
Medical and Health Sciences |
Clinical Trial |
Non-degree Award |
|
Mwavu Rogers
ID: UNCST-2022-R009536
|
A digital Pathology Platform for Automated Diagnosis and Classification of Diabetic Retinopathy from digital fundus Images
REFNo: SIR235ES
To test and validate the developed algorithms that enhance ophthalmic imaging, diagnosis and classification of diabetic retinopathy from fundus images. ,To develop algorithms that enhance ophthalmic imaging, diagnosis and classification of diabetic retinopathy from fundus images.,To explore image analysis and artificial intelligence techniques that have been used in diagnosing and classifying diabetic retinopathy from fundus images,To enhance ophthalmic imaging, diagnosis and classification of diabetic retinopathy from fundus images.,
|
Uganda |
2023-09-27 17:41:53 |
2026-09-27 |
Engineering and Technology |
|
Degree Award |
|
| View |
|
Sort By: |
|
|
|
| |
|