Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
The rise (and fall?) of HR analytics
185
Zitationen
2
Autoren
2017
Jahr
Abstract
Purpose Driven by the rapidly accelerating pace of technology-enabled developments within human resource management (HRM), human resource (HR) analytics is infiltrating the research and business agenda. As one of the first in its field, the purpose of this paper is to explore what the future of HR analytics might look like. Design/methodology/approach Using a sample of 20 practitioners of HR analytics, based in 11 large Dutch organizations, the authors investigated what the application, value, structure, and system support of HR analytics might look like in 2025. Findings The findings suggest that, by 2025, HR analytics will have become an established discipline, will have a proven impact on business outcomes, and will have a strong influence in operational and strategic decision making. Furthermore, the development of HR analytics will be characterized by integration, with data and IT infrastructure integrated across disciplines and even across organizational boundaries. Moreover, the HR analytics function may very well be subsumed in a central analytics function – transcending individual disciplines such as marketing, finance, and HRM. Practical implications The results of the research imply that HR analytics, as a separate function, department, or team, may very well cease to exist, even before it reaches maturity. Originality/value Empirical research on HR analytics is scarce, and studies on scenarios, values, and structures of expected developments in HR analytics are non-existent. This research intends to contribute to a better understanding of the development of HR analytics, to facilitate business and HR leaders in taking informed decisions on investing in the further development of the HR analytics discipline. Such investments may lead to an enhanced HR analytics capability within organizations, and cultivate the fact-based and data-driven culture that many organizations and leaders try to pursue.
Ähnliche Arbeiten
Qualitative Data Analysis
2021 · 1.378 Zit.
Reflections on societal and business model transformation arising from digitization and big data analytics: A research agenda
2015 · 1.236 Zit.
Artificial Intelligence in Human Resources Management: Challenges and a Path Forward
2019 · 1.201 Zit.
What can machine learning do? Workforce implications
2017 · 998 Zit.
Artificial intelligence, robotics, advanced technologies and human resource management: a systematic review
2021 · 916 Zit.