The influence of performance management on job satisfaction at Sarova hotels in Nairobi
The purpose of the study was to determine the influence of performance management on job satisfaction at Sarova hotels in Nairobi. The objective of the study was to find out how performance management influences job satisfaction. The study was meant to benefit the management of Sarova hotels, Human Resource Practitioners from other institutions, policy makers, future scholars and other stake holders. A descriptive research design was used for the study and data on demographic, performance management and job satisfaction was collected using questionnaires.112 respondents received the questionnaires, 72 participated but 12 were not able to fully answer the questionnaire. Data was collected and analysis was done using descriptive and inferential statistics. Findings indicated that employees neither agreed nor disagreed if performance management initiatives which are planning, measuring performance, performance review were present in the organization although they disagreed that rewarding performance was present in the organization. The findings also indicated that employees neither agreed nor disagreed if the determinants of job satisfaction which involves promotion, supervision, work itself, co-worker and pay were present in the organization. The study concluded that it was significant for a company to plan, review, measure and reward performance. The study recommends that any changes made should be communicated early and employee’s duties and responsibilities should be clearly made know in order to ensure employees perform their duties effectively. Further, the researcher recommends that performance should be measured to ensure a positive feedback is provided for any good performance. Employees should also be rewarded fairly such that reward should match employee’s effort .The study suggests that similar studies should be done across all the sarova hotels located in other regions . Also this study should be done in other sectors in order to compare variation in responses.
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