Biometric Systems and Human Resource Operational Performance in Construction Material Manufacturing Companies within Nairobi Metropolitan Area, Kenya
DOI:
https://doi.org/10.47941/hrlj.3827Keywords:
Biometric Systems, System Integration, Data Management Systems, Human Resource Operational Performance, Construction Material, Manufacturing CompaniesAbstract
Purpose: This study sought to assess the influence of biometric systems on the performance of construction material manufacturing companies within Nairobi, Machakos, Kiambu, and Kajiado counties. Specifically, the study sought to evaluate the effect of biometric system integration and analyze the impact of biometric data management systems on human resource operational performance. The study was guided by the Socio-Technical Systems Theory (STS) and Information Systems Success Model.
Methodology: A descriptive research design was adopted. The target population comprised management and supervisory staff with an estimated population of 1,621 individuals. The Krejcie and Morgan (1970) formula was used to determine representative sample size, and stratified random sampling was applied to ensure proportional representation across companies and managerial categories. Data was collected using a self-administered structured questionnaire. A pilot study, involving approximately 10% of the sample, was conducted to evaluate the clarity, validity, and reliability of the instrument. Collected data was coded, cleaned, and analyzed using SPSS version 25. Descriptive statistics including frequencies, percentages, means, and standard deviations—summarized the data, while inferential statistics such as multiple regression and correlation analysis were employed to examine the relationships among study variables at a 95% confidence level. The findings of the study were presented in tables and figures.
Findings: The study concludes that system integration have a significant effect on the human resource operational performance of construction material manufacturing companies within Nairobi Metropolitan Area, Kenya. The study also concludes that data management systems have a significant effect on the human resource operational performance of construction material manufacturing companies within Nairobi Metropolitan Area, Kenya.
Unique Contribution to Theory, Policy and Practice: Based on the findings, the study recommends that management of construction material manufacturing firms should invest in fully automated and integrated attendance systems, such as biometric fingerprint scanners and facial recognition time trackers.
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