Disrupting human resource management with people analytics: a study of applications, value, enablers and barriers in Italy
Open accessAbstract
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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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.”
From Reframing people analytics value creation: Balancing organizational performance and common good HRM values (2026) · cites this paper as Di Lauro et al., 2024
Cites
The SAGE Handbook of Grounded Theory
Bryant, A., & Charmaz, K. (2007) · SAGE · doi:10.4135/9781848607941 · Cited by 2,798 · cited 1× · see citing works
“The data that did not fit any of these categories were open-coded (Bryant and Charmaz, 2007).”
BackgroundThe rise of artificial intelligence in healthcare applications
Bohr, A., & Memarzadeh, K. (2020) · Artificial Intelligence in Healthcare · doi:10.1016/b978-0-12-818438-7.00002-2 · Cited by 1,636 · see citing works
HR and analytics: Why HR is set to fail the big data challenge
Angrave, D., Charlwood, A., Kirkpatrick, I., Lawrence, M., & Stuart, M. (2016) · Human Resource Management Journal · doi:10.1111/1748-8583.12090 · Cited by 633 · cited 2× · see citing works
“This has led to the emergence of PA, also known as HR Analytics, Talent Management Analytics, Human Capital Analytics, Workforce Analytics or Talent Analytics, which has gained popularity (Isson and Harriott, 2016; Angrave et al. , 2016).”
BackgroundConceptualising the future of HRM and technology research
Bondarouk, T., & Brewster, C. (2016) · The International Journal of Human Resource Management · doi:10.1080/09585192.2016.1232296 · Cited by 438 · see citing works
Electronic HRM: four decades of research on adoption and consequences
Bondarouk, T., Parry, E., & Furtmueller, E. (2017) · The International Journal of Human Resource Management · doi:10.1080/09585192.2016.1245672 · Cited by 423 · cited 1× · see citing works
“…to examine the adoption of technological innovations in organizations from various sectors (e.g. Tursunbayeva, 2018) and to analyze the adoption of generic innovations such as inter-organizational systems (Mishra et al. , 2007), particularly HRM, or e-HRM innovations (Bondarouk et al. , 2017).”
BackgroundUtilizing Qualitative Data Analysis Software: A Review of Atlas.ti
Hwang, S. (2008) · Social Science Computer Review · doi:10.1177/0894439307312485 · Cited by 371 · see citing works
An empirical analysis of journal policy effectiveness for computational reproducibility
Stodden, V., Seiler, J., & Ma, Z. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1708290115 · Cited by 369 · see citing works
People analytics—A scoping review of conceptual boundaries and value propositions
Tursunbayeva, A., Di Lauro, S., & Pagliari, C. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.08.002 · Cited by 263 · see citing works
Self-citationThe ethics of people analytics: risks, opportunities and recommendations
Tursunbayeva, A., Pagliari, C., Di Lauro, S., & Antonelli, G. (2022) · Personnel Review · doi:10.1108/pr-12-2019-0680 · Cited by 193 · cited 1× · see citing works
“In comparison to previous studies that discussed mainly enablers for PA, our study also recognizes that organizations face challenges in their PA initiatives that they need to mitigate (Tursunbayeva et al ., 2022).”
ResultSelf-citationBridging the gap: why, how and when HR analytics can impact organizational performance
McCartney, S., & Fu, N. (2022) · Management Decision · doi:10.1108/md-12-2020-1581 · Cited by 173 · cited 2× · see citing works
“This is particularly important considering that PA projects sometimes do not live up to their promises (McCartney and Fu, 2022).”
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McCartney, S., Minbaeva, D., Crean, S., & Fahy, A. (2026) · Human Resource Management Review · doi:10.1016/j.hrmr.2026.101147
- 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
- hybrid
- doi.org
- Licence
- 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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