Impact of Electronic Manpower Planning Practices on Organizational Performance in Manufacturing Companies in Cross River State
Year: 2025
Type: article
Abstract: This study investigated the impact of electronic manpower planning practices on organizational performance in manufacturing companies in Cross River State, Nigeria. In an era where technology-driven solutions are increasingly shaping operational efficiencies, the study explored the extent to which electronic manpower planning and electronic recruitment practices influence organizational outcomes. Adopting a descriptive survey design, the research sampled 258 human resource management personnel from 21 manufacturing companies in the state. Data were collected using a structured and validated questionnaire titled Electronic Human Resources Management Practices and Organization Performance Questionnaire (EHRMPOPQ), with a reliability coefficient of 0.82. Linear regression analyses revealed that electronic manpower planning practices accounted for 50.4% of the variation in organizational performance, while electronic recruitment practices explained 68.9% of the variance. The results showed that both electronic manpower planning and electronic recruitment practices significantly and positively impact organizational performance, leading to enhanced workforce efficiency, cost optimization, and improved employee satisfaction. The study concludes that the adoption of electronic manpower planning systems is instrumental in fostering operational excellence and recommends that manufacturing companies invest in advanced electronic HR systems, continuous employee training, and robust data security measures. By doing so, they can sustain competitive advantage and achieve higher levels of productivity in an increasingly digitalized industrial landscape.
Authors: Patience Undelishima USHIE, Veronica Ezioma NWAUKWA, Eleng Seyifunmi NTAMI, Nancy Nneoma NWAUKWA
Institutions: University of Calabar, Nnamdi Azikiwe University
Language: English
Topic: Employer Branding and e-HRM
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6930818884
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