Abstract:
This study analyzed the impact of reward and benefits on employee performance in referral hospitals in Rwanda with reference to King Faisal Hospital, Rwanda. This study used correlation and explanatory research design to analyze the impact of reward and benefits on employee performance. The population of this study was 424 permanent employees of King Faisal Hospital, Rwanda while the sample size was 158 respondents from King Faisal Hospital, Rwanda. The study used descriptive statistics and inferential statistics as method of data analysis.
At the global level there are four factors that affect worker’s rewards: institutional factors, business model factors, human resource management factors and cultural factors. Rewards are very important element in human resources management, as they influence employees’ motivation to accomplish tasks and to achieve competitive advantage.
The findings showed that 93 (58.9%) of the 158 respondents believed that the KFH, R provided them satisfactory benefits and rewards with a mean of 2.761 and standard deviation of 0.93 which in turn motivated them to perform to their very best. 65 (41.1%) respondents showed that they were not satisfied with the rewards and benefits provided by KFH, R which affected their performances since they are sometimes forced to do more than one job in order to earn extra income to cover their needs. From the data obtained, it was discovered that employees that were satisfied with the rewards and benefits offered by KFH, R, were more likely to have outstanding performance, be confident about their performances and contribution to their team’s performance and ensure better institution resource utilization compared to their compatriots who thought the rewards and benefits were not satisfactory. In conclusion, it was discovered that rewards and benefits have a direct impact on employee performance in referral hospitals in Rwanda therefore; management should determine employee rewards and benefits carefully to ensure that they meet the employee needs to ensure maximum performance.
