Abstract
In recent years, maintenance management functions to improve organizational development has become increasingly important and has become the targeted focus of in the field of engineering management. Hence, this paper examines maintenance management processes within operational settings to gain a deeper understanding of their connection to organizational advancement in selected private enterprises located in Bayelsa State, Nigeria. The study involved the acquisition of empirical data, primarily through a structured Likert-scale questionnaire. The methodological approach adopted was a descriptive survey design, operating within a quantitative research paradigm. To examine the impact of the independent variables on the dependent variable, Multiple Regression Analysis (MRA) was employed. This statistical analysis was facilitated using the Statistical Package for the Social Sciences (SPSS), version 23.0.The findings from the data analysis reveal a substantial 75% correlation between the independent and dependent variables, accompanied by a coefficient of determination (R-squared) of 0.563, or 56.3%. Furthermore, the analysis yielded a highly statistically significant p-value (p < 0.001). These results collectively indicate that the predictive model, incorporating six independent variables such as planning and scheduling, condition-based maintenance, work execution, staff training, technical support and computerized maintenance, is highly significant in forecasting organizational development in private organizations.
Keywords
Organizational Development, Work Execution, Planning and Scheduling, Staff Training, SPSS.
Citations
IRE Journals:
Komonibo, Ernest Bolouebi, Tudou Perewarifagha "The Impact of Maintenance Management in Organizational Development" Iconic Research And Engineering Journals Volume 9 Issue 9 2026 Page 3240-3245 https://doi.org/10.64388/IREV9I9-1715793
IEEE:
Komonibo, Ernest Bolouebi, Tudou Perewarifagha
"The Impact of Maintenance Management in Organizational Development" Iconic Research And Engineering Journals, 9(9) https://doi.org/10.64388/IREV9I9-1715793
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