Human Resource Management Practices, Organizational Development and Operational Efficiency

This study examined human resource management practices, organizational development, and operational efficiency in the Local Government Unit (LGU) Engineering Offices of the Province of Iloilo, Philippines, for the calendar year 2025–2026. A total of 184 engineers from five districts were selected as respondents through purposive sampling, and data were gathered using a validated questionnaire. Statistical analyses included frequency count, percentage, mean, Mann Whitney U, Kruskal Wallis H, and Spearman’s rho at the 0.05 alpha level. Findings revealed that most respondents were male, bachelor’s degree holders, and rank and file employees with 6-10 years of service. HRM practices were rated “Mostly Practiced,” organizational development as “To a Very Great Extent,” and operational efficiency as “Very High.” No significant differences were found across age, sex, education, position, years in service, or district. Likewise, no significant relationships were observed among human resource management practices, organizational development, and operational efficiency, indicating that these dimensions functioned as separate yet consistent pillars of organizational effectiveness. The study underscored that LGU engineering offices consistently applied fair HR systems, continuous learning initiatives, streamlined workflows, and effective resource management. Based on these results, recommendations were formulated for administrators, engineers, personnel, HR officials, policymakers, communities, and researchers to enhance workforce development, foster inclusivity, and sustain the delivery of high-quality public services in the Province of Iloilo.

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Publication Details

Journal
Iconic Research and Engineering Journals
Published
2026-04-25
DOI
https://doi.org/10.64388/irev9i10-1716701
Primary Topic
E-Learning and COVID-19
Type
article
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article

Human Resource Management Practices, Organizational Development and Operational Efficiency

Jhon Rey Dela Cruz Asturias, Erly M. Martir, Ph.D., Dm
Iconic Research and Engineering Journals
E-Learning and COVID-19
article

Human Resource Management Practices, Organizational Development and Operational Efficiency

Jhon Rey Dela Cruz Asturias, Erly M. Martir, Ph.D., Dm
article en

Abstract

This study examined human resource management practices, organizational development, and operational efficiency in the Local Government Unit (LGU) Engineering Offices of the Province of Iloilo, Philippines, for the calendar year 2025–2026. A total of 184 engineers from five districts were selected as respondents through purposive sampling, and data were gathered using a validated questionnaire. Statistical analyses included frequency count, percentage, mean, Mann Whitney U, Kruskal Wallis H, and Spearman’s rho at the 0.05 alpha level. Findings revealed that most respondents were male, bachelor’s degree holders, and rank and file employees with 6-10 years of service. HRM practices were rated “Mostly Practiced,” organizational development as “To a Very Great Extent,” and operational efficiency as “Very High.” No significant differences were found across age, sex, education, position, years in service, or district. Likewise, no significant relationships were observed among human resource management practices, organizational development, and operational efficiency, indicating that these dimensions functioned as separate yet consistent pillars of organizational effectiveness. The study underscored that LGU engineering offices consistently applied fair HR systems, continuous learning initiatives, streamlined workflows, and effective resource management. Based on these results, recommendations were formulated for administrators, engineers, personnel, HR officials, policymakers, communities, and researchers to enhance workforce development, foster inclusivity, and sustain the delivery of high-quality public services in the Province of Iloilo.

Iconic Research and Engineering JournalsVol. 9(10)
Decent work and economic growth
Openalex Percentile: Top 4%
E-Learning and COVID-19
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