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Journal article
The HR analytics cycle: a seven-step process for building evidence-based and ethical HR analytics capabilities
Journal of Work-Applied Management, v 13(1), pp 51-68
26 Apr 2021
Abstract
Purpose
The purpose of the paper is to explore the meaning of Human Resources (HR) analytics and introduce the HR analytics cycle as a proactive and systematic process for ethically gathering, analyzing, communicating and using evidence-based HR research and analytical insights to help organizations achieve their strategic objectives.
Design/methodology/approach
Conceptual review of the current state and meaning of HR analytics. Using the HR analytics cycle as a framework, the authors describe a seven-step process for building evidence-based and ethical HR analytics capabilities.
Findings
HR analytics is a nascent discipline and there are a multitude of monikers and competing definitions. With few exceptions, these definitions lack emphasis on evidence-based practice (i.e. the use of scientific research findings in adopting HR practices), ethical practice (i.e. ethically gathering and using HR data and insights) and the role of broader HR research and experimentation. More importantly, there are no practical models or frameworks available to help guide HR leaders and practitioners in doing HR analytics work.
Practical implications
The HR analytics cycle encompasses a broader range of HR analytics practices and data sources including HR research and experimentation in the context of social, behavioral and organizational science.
Originality/value
This paper introduces the HR analytics cycle as a practical seven-step approach for making HR analytics work in organizations.
Metrics
69 Record Views
70 citations in Scopus
Details
- Title
- The HR analytics cycle: a seven-step process for building evidence-based and ethical HR analytics capabilities
- Creators
- Salvatore V. FallettaWendy L. Combs
- Publication Details
- Journal of Work-Applied Management, v 13(1), pp 51-68
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Education
- Scopus ID
- 2-s2.0-85095754424
- Other Identifier
- 991019173971004721