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JOURNAL ARTICLE

Data Analytics in Human Resource Planning and Decision Making: A Needs Assessment At Earist

Rhain A. Picoc1, Angelyn D. Carabit1, Beth Gader C. Nañola1, Jaremi S. Abalos1, John Carlo V. Dacanay1, Karylle Anne N. Gorospe1, Venice Loraine C. Tamayo1, Willy O. Gapasin1

1 Eulogio "Amang" Rodriguez Institute of Science and Technology (EARIST)

International Journal of Scientific Research and Management (IJSRM), Vol. 14(07), pp. 2779-2786 · 2026-07-08 · DOI: 10.18535/ijsrm/v14i07.sh01

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Abstract

This study determined the extent of data analytics adoption and its relationship with human resource planning and decision-making at Eulogio "Amang" Rodriguez Institute of Science and Technology (EARIST). Specifically, it assessed the data analytics systems and practices adopted by the institution, evaluated the role of data analytics in human resource planning and decision-making, and examined the relationship between data analytics adoption and human resource management practices. A descriptive research design utilizing the survey method was employed. Total population sampling was used, involving all 11 personnel of the Human Resource Department of EARIST. Data were collected using a validated survey questionnaire and analyzed using percentage, weighted mean, ranking, and Pearson's correlation coefficient, with statistical significance set at P < 0.05. The findings revealed that data analytics systems and practices were generally adopted, with data governance and security obtaining the highest level of adoption (WM = 4.68), while data interpretation and utilization received the lowest rating (WM = 3.89). Human resource personnel assessed data analytics as highly required in improving decision-making (WM = 4.66) and data management and accessibility (WM = 4.57). Furthermore, a highly significant positive relationship was found between the extent of data analytics adoption and human resource planning and decision-making (P < 0.001). Data analytics plays a significant role in enhancing human resource planning and decision-making at EARIST. Increased adoption of data analytics contributes to more effective, evidence-based, and strategic human resource management practices; however, improvements in data interpretation, technical competencies, and organizational support are necessary to maximize its full potential.

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Rhain A. Picoc, Angelyn D. Carabit, Beth Gader C. Nañola, Jaremi S. Abalos, John Carlo V. Dacanay, Karylle Anne N. Gorospe, Venice Loraine C. Tamayo, Willy O. Gapasin (2026). Data Analytics in Human Resource Planning and Decision Making: A Needs Assessment At Earist. International Journal of Scientific Research and Management (IJSRM), 14(07), 2779-2786. https://doi.org/10.18535/ijsrm/v14i07.sh01
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