Abstract: Several studies link employee performance management planning to employee performance. Since the ultimate goal of performance management is to improve organizational performance, there is no doubt that it is associated with employee performance. This study therefore sought to establish the relationship between performance management planning and employee performance in EAC Secretariat. A cross-sectional study design was adopted, hinged on the quantitative and quantitative approaches. The study covered a simple random sample of 57 respondents comprising employees of East African Secretariat. Data were collected by means of a semi-structured survey questionnaire. Data analysis was done using descriptive and inferential statistical tools. The study revealed that performance management planning had a positive and statistically significant relationship with employee performance, with Pearson correlation values of 0.529**. The regression analysis affirmed the correlation results, showing that performance management planning caused variations in employee performance by 58.8%. On the basis of the findings, the study concludes that properly designed performance management plans are essential for employee performance. It is clear from the study findings that when employee are involved in performance planning especially in setting performance objectives and targets and are given clear information of performance expectations, their performance is higher. It is therefore recommended that management of EAC Secretariat puts in place mechanisms to ensure effective performance planning and have clearly documented performance plans for all employees.
Keywords: Performance management planning, objective and target setting, employee performance, organizational performance.
Title: The Relationship between Performance Planning and Employee Performance at East African Community Secretariat in Arusha, Tanzania
Author: Muhammad Lutaaya, Dr. Samuel Obino Mokaya
International Journal of Social Science and Humanities Research
ISSN 2348-3156 (Print), ISSN 2348-3164 (online)
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