Dataset on Determinants of Human Resource Analytics Adoption and Operational Performance in Malaysia
Description
This dataset contains information collected from 154 Malaysian firms between July 2024 and October 2024, specifically targeting organizations that have adopted Human Resource (HR) Analytics. The unit of analysis is at the firm level, with one response per firm. The dataset aims to investigate the key facilitators and inhibitors of HR analytics adoption, and how adoption influences talent management practices and operational performance. Key Variables: 1. Facilitators of HR Analytics Adoption 1.1 Compatibility 1.2 Top Management Support 1.3 Competitive Pressure 2. Inhibitors of HR Analytics Adoption 2.1Complexity 2.2 Perceived Cost 2.3 Perceived Risk 3. HR Analytics Adoption Level 4. Talent Management Dimensions 4.1 Talent Acquisition 4.2 Talent Development 4.3 Talent Retention 5. Operational Performance This dataset offers meaningful insights for academics, HR professionals, and business leaders interested in understanding the organizational factors influencing HR analytics adoption and its strategic impact on talent and performance outcomes in the Malaysian context.
Files
Institutions
- Universiti Malaysia Sabah