International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Human Resource Functions and AI utilization in Selected Manufacturing Companies in Calamba City Toward HR Process Optimization

Author(s) Ms. Joyfer Aquino Brocal, Dr. Jojit P. Larino
Country Philippines
Abstract In the context of people management, a business performs well if the Human Resources Management (HRM) or Human Resources (HR) involves managing a company's employees strategically to align with business goals. As the need for manufacturing grows, some companies in Calamba City can find opportunities. However, the human resources department has to deal with some challenges in HR functions. The high demand for advanced technology, such as AI that demonstrates interpretable algorithms, is often seen in HR functions like Talent Acquisition, managing HR Analytics, Learning and Development, and Compensation Management; these factors are essential for continuous business growth and development.
The main objective of the research is to recommend a transformative AI utilization for human resources management focusing on Talent Acquisition, HR Analytics, Learning and Development, and Compensation Management. The study is limited only to the presentation of the possible AI applications related to AI-powered tools, methods, and practices that will improve HR functions and make them more in line with business goals. Quantitative research was used. The researcher also constructed interviews, observations, and a survey checklist to assess and further analyze the reports. The thirty-nine (39) HR personnel have been chosen as the respondents from the seven (7) selected manufacturing companies in Calamba City.
Keywords Human Resources Functions, Artificial Intelligence (AI), Talent Acquisition, HR Analytics, Learning and Development, Compensation Management, Approaches, Level of Effectiveness
Field Sociology > Administration / Law / Management
Published In Volume 7, Issue 6, November-December 2025
Published On 2025-12-17
DOI https://doi.org/10.36948/ijfmr.2025.v07i06.63424
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E-ISSN 2582-2160
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