Vol. 2 No. 1 (2026): MAAUN International Journal of Postgraduate studies (MIJPS)
Articles

Training Evaluation, Performance Management, and Environmental Analysis as Predictors of Organizational Growth in the Third FADAMA National Development Project

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  • Umar Faruku Udulu,
  • Abdullahi Hassan Gorondutse
DOI: https://doi.org/10.59479/jiaheri.v2i1.133
Categories

Published 03/24/2026

Keywords

  • Training evaluation,
  • performance management,
  • environmental analysis,,
  • HRM,
  • organizational growth

How to Cite

Udulu, U. F. ., & Gorondutse, A. H. (2026). Training Evaluation, Performance Management, and Environmental Analysis as Predictors of Organizational Growth in the Third FADAMA National Development Project. Journal of Institute of Africa Higher Education Research and Innovation (IAHERI), 2(1), 170–180. https://doi.org/10.59479/jiaheri.v2i1.133

Abstract

This study investigates the influence of employee training evaluation, performance management, and environmental analysis on the organizational growth of the Third National FADAMA Development Project. Employing a descriptive survey design, data from respondents across Kebbi State were analyzed using Pearson correlation and OLS regression via SPSS (V26). The results of regression analysis show R=., this implies that multiple correlation coefficients between the predictors and the criterion was 76%, while R2 of .632 implies that predicting variables (HRM) under the study were able to account or explain 63% variance in the dependent variable (Organizational growth), while the remaining 37% was not captured by this study. The result also shows adjusted R2 of .524 which implies that human resource management were able to explain 52% variation in the organizational growth. The significant F.test of (54.660, p<0.000) signifies that the overall significant prediction of independent variables to the dependent variable, this further implies that, p value of 0.000 the model fitness in regressing the relationship between human resource management and organizational growth, therefore, F-Statistics value measure the strength of regression model with a value of 54.660. The study concluded that training evaluation, effective performance management, and environmental analysis have positive and statistically significant impacts on project growth. The analysis showed that continuous training evaluation ensures staff competence and adaptability to new technologies and project policies. Performance management enhances accountability, aligns individual goals with organizational objectives, and improves efficiency. The study concludes that the sustainability of development projects relies heavily on structured training, performance monitoring, and sensitivity to the operational environment.

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