Cited by 12AI and HR TechnologiesBig Data and Business IntelligenceEmployer Branding and e-HRM

Disrupting human resource management with people analytics: a study of applications, value, enablers and barriers in Italy

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Di Lauro, Stefano, Tursunbayeva, Aizhan, Antonelli, Gilda, Moschera, Luigi·2025·Personnel Review

Abstract

Purpose: This research aims to explore whether or how organizations adopt people analytics (PA), its value and potential socio-technical factors that can enable or hinder PA projects by disrupting and reshaping human resource management. We do this by focusing on the Italian context. Design/methodology/approach: We conduct a scoping review of data collected between 2018 and 2022 via Google Alerts (GA), a content change detection and notification service that is gaining popularity in scholarly research. Findings: Our findings suggest that the diffusion of PA applications in Italy, especially those of a descriptive nature, is growing. Most of the existing PA applications are positioned in a positive technocratic light, envisioning the value of PA for both employees and organizations. The value for the latter appears to be direct, while the value for employees is realized through organizational initiatives. The findings also suggest that while enablers can vary between PA application types, the barriers, especially technological and environmental, are generic for both descriptive and predictive/prescriptive PA applications. Originality/value: Theoretically, we propose a framework for analyzing PA applications, their values, enablers and barriers. Methodologically, we present and describe in detail a novel approach, drawing on GA that can be used to study PA in specific contexts. Practically, our study serves as a helpful point of reference for managers planning or implementing PA in Italy, for benchmarking PA in Italy over time and for comparative international studies.

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Registry

Crossref · 10.1108/pr-11-2023-0927

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  • Existing literature often frames people analytics value creation through an inside-out lens, emphasizing how people analytics can optimize workforce processes and improve organizational performance through data-driven decision-making.

    “Existing literature often frames people analytics value creation through an inside-out lens, emphasizing how people analytics can optimize workforce processes and improve organizational performance through data-driven decision-making.”

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Authors
Di Lauro, S., Tursunbayeva, A., Antonelli, G., & Moschera, L.
Affiliations
  • Parthenope University of Naples (IT)
  • University of Chieti-Pescara (IT)
Corresponding author
Tursunbayeva, Aizhan
Venue
Personnel Review
Publisher
Emerald
Published
2024-05-13
Volume
54
Issue
2
Pages
697-721
ISSN
0048-3486 (ISSN-L)
OpenAlex
W4396820135
Cited by
12
References
10
Citations by year
2026: 8 · 2025: 3 · 2024: 1
FWCI
4.16
Type
journal article
Language
en
Open access
Locations
  • Personnel Review (publishedVersion, cc-by)
  • CINECA IRIS Institutial research information system (Parthenope University of Naples) (submittedVersion, cc-by)
Topics
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
  • Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Employer Branding and e-HRM
Keywords
HR analytics, human resource management, descriptive analytics, predictive analytics, prescriptive analytics, technology adoption, barriers and facilitators, socio-technical factors, employee values, organizational values, Google Alerts

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