Year: 2025
Type: article
Abstract: Purpose This study develops the HR Analytics Maturity Indicators Scale (HRAMIS) to identify the key capabilities that indicate HR analytics maturity across technical, technological and organizational dimensions. Design/methodology/approach Following scale development principles, the study employed two distinct samples: exploratory (n = 130) and confirmatory (n = 189). Exploratory factor analysis was conducted to identify scale dimensions, followed by confirmatory factor analysis to validate the proposed structure. The scale demonstrated reliability, validity and multidimensionality across both samples. Findings The study revealed a three-factor structure of HR analytics maturity, comprising strategic alignment, technology and analytic techniques and data capabilities. This three-factor 13-item scale explained 68.84% of the total variance. The findings demonstrated significant inter-relationships between subscales and robust statistical validation, including satisfactory internal consistency, convergent, discriminant and criterion-related validity. The criterion validity study revealed the relationships between HR analytics, organizational effectiveness and organizational performance. Originality/value This study introduces a novel, psychometrically validated scale for assessing HR analytics maturity, providing empirical insights into its key capabilities. It enhances understanding of HR analytics maturity in organizational contexts by exploring its relationship with organizational performance and effectiveness.
Authors: Fatma Melisa Ozkanli, Sibel Gök
Institution: Marmara University
Language: English
Topic: AI and HR Technologies
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4414794035