Article’s

Human Resource Management is becoming increasingly data-driven as organizations rely on digital HR systems, HR analytics, and employee information to support decision-making. While the availability of employee data can improve the quality of HR decisions, excessive information may create challenges such as information overload, making it difficult for HR professionals to identify relevant insights. This phenomenon is referred to as the Data Paradox. The present study examines the impact of Employee Data Availability and Information Overload on HR Decision Making Quality. A quantitative research approach was adopted, and primary data were collected through a structured questionnaire from 150 respondents. The collected data were analyzed using descriptive statistics, reliability analysis, correlation, and regression analysis to examine the relationships among the study variables. The findings are expected to provide insights into how organizations can effectively manage employee data while minimizing information overload to improve HR decision-making. The study emphasizes that the quality of HR decisions depends not only on the availability of data but also on the ability to manage and interpret information effectively. Keywords: Human Resource Management, Employee Data Availability, Information Overload, HR Analytics, HR Decision-Making Quality, Data-Driven HRM.