The primary focus of numerous corporate entities at present is to improve employee performance in order to achieve the desired results from them. However, this is becoming increasingly challenging due to the competitive environment within the business landscape. Among the sectors impacted is the tea industry, which is one of the rapidly expanding industries in the country (Kiptum, 2024). This research aimed to investigate the most effective predictor of employee performance at Kipchabo Tea factory in Nandi County, Kenya. The study was based on Herzberg’s motivation theory and Maslow’s motivation theory. A descriptive research design was employed for this study. To ensure reliability, a pilot study was conducted, and Cronbach’s analysis was used to assess reliability, with each item needing to achieve an overall variable alpha of 0.69 or higher; in this instance, the result was 0.709. The results indicate that, according to the analyzed data, recognition and rewards serve as the strongest predictor of employee performance, closely followed by job security. The independent variable (predictor) demonstrates a statistically significant correlation with the dependent variable. In essence, the two predictors in the model help to explain the variations in the dependent variable to a certain extent, making them reliable and meaningful for predictive purposes.
Keywords: Kenya, Human resource management, Analysis of the best predictor of employee performance, Kipchabo Tea Factory, Nandi County, Tea Farming
Citation: Lelimo, A. K., & Mandago, R. (2025). An Analysis of the Best Predictor of Employee Performance in Kipchabo Tea Factory, Nandi Country, Kenya. J Business & Eco Insights.,1(2):1-6.