HR analytics maturity indicators: developing a measurement scale

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.

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Publication Details

Journal
Journal of Work-Applied Management
Published
2025-10-03
DOI
https://doi.org/10.1108/jwam-05-2025-0083
Primary Topic
AI and HR Technologies
Type
article
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article

HR analytics maturity indicators: developing a measurement scale

Sibel Gök, Fatma Melisa Özkanlı
Journal of Work-Applied Management
AI and HR Technologies
article

HR analytics maturity indicators: developing a measurement scale

Sibel Gök, Fatma Melisa Özkanlı
article en

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.

Journal of Work-Applied Management
Marmara University (TR)
Openalex Percentile: Top 68%
AI and HR Technologies
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