Rewards management and employee performance. A case of Kazo District Local Government, Uganda.
DOI:
https://doi.org/10.64792/r5gx2t25Keywords:
Rewards Management, Employee Performance, Local Government, Public Sector, Uganda, Kazo DistrictAbstract
Background
This study examined the effect of rewards management on employee performance in Kazo District Local Government, Uganda.
Methods
The study adopted a cross-sectional design with a predominantly quantitative approach, complemented by key informant interviews. A sample of 261 respondents was drawn from a target population of 800 employees using Krejcie and Morgan's (1970) table, with stratified and simple random sampling applied across health, education, and administrative cadres, yielding 240 valid responses (92.0% response rate). Quantitative data were analysed using descriptive statistics, a one-tailed Pearson correlation, and simple linear regression in SPSS, while qualitative data from key informant interviews were analysed thematically.
Results
Most of the 240 respondents were female (59.2%), from the Education department (53.3%), and in technical roles (46.7%), with 76.7% having served more than six years and 43.3% holding a degree, indicating a predominantly female, experienced, and fairly well-educated workforce. Employees rated rewards management (M = 3.11, SD = 0.72) and employee performance (M = 3.30, SD = 0.73) as moderate. Rewards management was positively and significantly related to employee performance (r = 0.387, p < 0.01, one-tailed) and explained 15.0% of its variance (R² = 0.150, F(1, 238) = 36.845, p < 0.01). Qualitative findings showed that delayed salaries, inconsistent non-monetary rewards, and perceived unfairness constrained performance.
Conclusion
Rewards management is a significant, though partial, predictor of employee performance in local government; the moderate relationship reflects implementation weaknesses rather than a flaw in reward-based motivation.
Recommendation
There is a need to establish a salary tracking and transparency committee, formalising non-monetary reward policies, piloting a performance-linked allowance scheme, and convening a district-ministry dialogue forum to address systemic barriers to reward administration.
References
Adams, J. S. (1965). Inequity in social exchange. In L. Berkowitz (Ed.), Advances in experimental social psychology (Vol. 2, pp. 267-299). Academic Press.
African Development Bank. (2023). African economic outlook 2023. African Development Bank Group.
Alam, A., & Alam, M. (2020). Reward management and organisational performance in the public sector. Journal of Public Administration Research, 12(3), 45-58.
Aleksandrov, E. (2020). Performance management reforms in local government. Public Money & Management, 40(2), 112-120.
Armstrong, M. (2020). Armstrong's handbook of reward management practice (6th ed.). Kogan Page.
Asiedu, K., & Nketiah, B. (2026). Political interference and reward effectiveness in West African local governments. African Journal of Public Administration, 18(1), 22-41.
Branka, T., & Marija, D. (2021). Reward systems and employee performance: Evidence from European public sector organisations. Public Sector Economics, 45(4), 501-522.
Chen, L., Liu, Y., & Wang, H. (2025). Reward satisfaction and task performance: A meta-analytic review across 18 countries. Journal of Applied Psychology, 110(2), 201-224.
Cochran, W. G. (1977). Sampling techniques (3rd ed.). John Wiley & Sons.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates.
Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications.
DeVellis, R. F. (2016). Scale development: Theory and applications (4th ed.). SAGE Publications.
Duvnjak, V. (2018). Reward management in local government institutions. International Journal of Public Sector Management, 31(6), 678-693.
Ferreira, N. (2020). Talent management and reward systems in the public sector. SA Journal of Human Resource Management, 18, a1234.
Figueiredo, D., Silva, R., & Costa, M. (2025). Aligning reward systems with employee profiles in municipal governments: Evidence from Brazil. Public Personnel Management, 54(1), 3-27.
Fithri, P., Hasan, A., & Susanto, R. (2019). Employee performance determinants: A systematic review. International Journal of Productivity and Performance Management, 68(5), 950-968.
Herzberg, F., Mausner, B., & Snyderman, B. B. (1959). The motivation to work. John Wiley & Sons.
Ike, D., Nwosu, C., & Obi, P. (2022). Organisational survival and employee performance in developing economies. Journal of African Business, 23(2), 289-305.
Imran, S., & Ghazwan, H. (2025). Recognition, meaning, and performance: Revisiting reward theory in public organisations. Human Resource Management Review, 35(1), 100-118.
International Labour Organization. (2022). World employment and social outlook: Trends 2022. ILO.
Kahn, W. A. (1990). Psychological conditions of personal engagement and disengagement at work. Academy of Management Journal, 33(4), 692-724.
Kazo District Local Government. (2024). Human resource and staffing records. Kazo District Local Government.
Kipkebut, D. (2016). Reward management and employee absenteeism in Kenyan county governments. African Journal of Business Management, 10(14), 341-350.
Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607-610.
Mafini, C., & Dlodlo, N. (2014). The relationship between extrinsic motivation, job satisfaction and life satisfaction amongst employees in a public organisation. SA Journal of Industrial Psychology, 40(1), 1-13.
Ministry of Public Service. (2019). Rewards and sanctions framework. Government of Uganda.
Moses, T., Kagimu, R., & Nabukalu, J. (2022). Reward management practices and employee performance in Uganda's local governments. East African Journal of Public Administration, 4(1), 55-70.
Mugenda, O. M., & Mugenda, A. G. (2003). Research methods: Quantitative and qualitative approaches. Acts Press.
OECD. (2019). Government at a glance 2019. OECD Publishing.
Office of the Auditor General. (2022). Annual report of the Auditor General on the public accounts of Uganda. Government of Uganda.
Omollo, P. (2023). Performance bonuses and employee output in Kenyan county health sectors. Journal of Health Policy and Management, 8(2), 141-159.
Osei-Bonsu, N. (2019). Feedback systems, staff engagement, and job satisfaction in Ghanaian local authorities. Ghana Journal of Public Administration, 6(1), 33-49.
Pallant, J. (2020). SPSS survival manual: A step-by-step guide to data analysis using IBM SPSS (7th ed.). Routledge.
Saunders, M., Lewis, P., & Thornhill, A. (2019). Research methods for business students (8th ed.). Pearson.
Siraj, N., & Yasmeen, R. (2025). Redefining employee performance in the digital public sector. International Journal of Public Sector Management, 38(1), 15-33.
Skinner, B. F. (1953). Science and human behavior. Macmillan.
Ssengooba, M. (2023). Salary delays, promotion opacity, and workforce commitment in Ugandan district local governments. Uganda Journal of Public Policy, 9(2), 88-107.
Tumwesige, D., & Kagaari, J. (2017). Reward transparency and staff retention in rural Uganda. Journal of African Human Resource Management, 5(3), 199-214.
Uganda Bureau of Statistics. (2023). Uganda national labour force survey report 2023. UBOS.
Vroom, V. H. (1964). Work and motivation. John Wiley & Sons.
World Bank. (2021). Reward structures and productivity: Evidence from developing countries. World Bank Publications.
Yusuf, M. O., Abiola, T., & Salami, O. (2022). Employee performance in local governments. Journal of Public Affairs, 22(S1), e26
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Phionah Akunde, Dr. Kule Baguma, Jimmy Mwesigye (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.
This is the most open of the Creative Commons licenses. It allows others to copy, share, remix, adapt, and build upon the material — even for commercial purposes — provided that proper credit is given to the original author(s).
You are free to:
-
Share — copy and redistribute the material in any medium or format.
-
Adapt — remix, transform, and build upon the material for any purpose, even commercially.
Under the following terms:
-
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in a way that suggests the licensor endorses you or your use.
-
No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
-
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.
-
No warranties are given. The license may not give you all the permissions necessary for your intended use. Other rights, such as publicity, privacy, or moral rights, may limit how you use the material.

