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Exploring the Practice of HR Analytics: Insights from a Public Sector Context
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Business Studies. Högskolan Dalarna.
2025 (English)Doctoral thesis, comprehensive summary (Other academic)
Description
Abstract [en]

Human Resource Analytics (HRA) is a technology-enabled organisational practice that utilises quantitative data and analysis to enhance HR decision-making. While HRA has gained increasing interest among HR practitioners, its adoption has been predominantly concentrated in technology-intensive private sector companies. At the same time, academic research on HRA remains limited, particularly in the public sector. Although factors such as low technological maturity and a lesser focus on profit maximisation and competitive advantage may hinder its implementation, HRA holds significant potential for public sector organisations due to their distinct characteristics. These include large workforces generating extensive HR-related data, political authority, governmental ownership, and a strong emphasis on transparency, accountability, and efficiency in areas such as competence supply, workforce recruitment, and retention.This thesis comprises four papers that collectively conceptualise and investigate the practice of HRA, exploring the reasons, preconditions, and processes involved in its implementation within public sector organisations. Empirical data were collected from three Swedish public sector organisations at the national, regional, and local levels. The study employs an engaged scholarship research design, allowing for the pragmatic application of multiple theoretical perspectives best suited to address the overarching research question: How is HRA being implemented in public sector organisations? This research aims to contribute to the existing HRA literature while also offering practical insights for organisations and HR practitioners operating in this under-researched context.By adopting a practice-based approach, informed by institutional legitimacy concept, the AMO (Ability, Motivation, Opportunity) framework, and organisational translation perspective, this thesis reveals that HRA practices undergo significant adaptation during implementation. In the public sector, HRA has primarily been limited to improving HR reporting and the visualisation of descriptive HR data. HRA practitioners, driven by contextual factors and the need to ensure the legitimacy of HR activities through economic rationality, face constraints related to analytical skills, organisational resources, and sector-specific characteristics.Given the rapid advancements in technology, including the growing influence of AI, future research should explore how these developments, alongside challenges such as employee privacy and data protection, impact the further evolution of HRA practices in the public sector.

Place, publisher, year, edition, pages
Uppsala: Uppsala University, 2025. , p. 111
Series
Doctoral thesis / Företagsekonomiska institutionen, Uppsala universitet, ISSN 1103-8454 ; 225
Keywords [en]
human resource analytics, HR analytics, people analytics, HR reporting, HR practitioners, HR implementation, practice theory, public sector HR
National Category
Business Administration
Research subject
Business Studies
Identifiers
URN: urn:nbn:se:uu:diva-550591ISBN: 978-91-506-3103-6 (print)OAI: oai:DiVA.org:uu-550591DiVA, id: diva2:1938188
Public defence
2025-05-27, Hörsal 2, Ekonomikum, Kyrkogårdsgatan 10, Uppsala, 14:15 (English)
Opponent
Supervisors
Available from: 2025-05-06 Created: 2025-02-17 Last updated: 2025-05-06
List of papers
1. HR analytics-as-practice: a systematic literature review
Open this publication in new window or tab >>HR analytics-as-practice: a systematic literature review
2023 (English)In: Journal of Organizational Effectiveness, ISSN 2051-6614, E-ISSN 2051-6622, Vol. 12, no 5, p. 83-111Article, review/survey (Refereed) Published
Abstract [en]

PurposeHuman resource analytics (HRA) is an HR activity that companies and academics increasingly pay attention to. Existing literature conceptualises HRA mostly from an objectivist perspective, which limits understanding of actual HRA activities in the complex organisational environment. This paper therefore draws on the practice-based approach, using a novel framework to conceptualise HRA-as-practice.Design/methodology/approachThe authors conducted a systematic literature review of 100 academic and practitioner-oriented publications to analyse existing HRA literature in relation to practice theory, using the "HRA-as-practice" frame.FindingsThe authors identify the main practices involved in HRA, by whom and how these practices are enacted, and reveal three topics in nomological network of HRA-as-practice: HRA technology, HRA outcomes and HRA hindrances and facilitators, which the authors suggest might actualize enactment of HRA practices.Practical implicationsThe authors offer HR function and HR professionals a basic ground to evaluate HRA as a highly contextual activity that can potentially generate business value and increase HR impact when seen as a complex interaction between HRA practices, HRA practitioners and HRA praxis. The findings also help HR practitioners understand multiple factors that influence the practice of HRA.Originality/valueThis systematic review differs from the previous reviews in two ways. First, it analyses both academic and practitioner-oriented publications. Second, it provides a novel theoretical contribution by conceptualising HRA-as-practice and comprehensively compiling scattered topics and themes related to HRA.

Place, publisher, year, edition, pages
EMERALD GROUP PUBLISHING LTD, 2023
Keywords
Human resource analytics, HR analytics, Practice theory, HR practices, HR practitioners, HR praxis, Review
National Category
Business Administration
Identifiers
urn:nbn:se:uu:diva-550586 (URN)10.1108/JOEPP-11-2022-0345 (DOI)001127520200001 ()
Available from: 2025-02-17 Created: 2025-02-17 Last updated: 2025-02-17
2. Reasons for HR analytics adoption in public sector organisations: evidence from Swedish public administrations
Open this publication in new window or tab >>Reasons for HR analytics adoption in public sector organisations: evidence from Swedish public administrations
2024 (English)In: Personnel review, ISSN 0048-3486, E-ISSN 1758-6933Article in journal (Refereed) Epub ahead of print
Abstract [en]

Purpose

This study explores the rationale behind the utilisation of human resource (HR) analytics in public sector organisations. The existing HR analytics literature exhibits limited empirical evidence and has predominantly focused on the business context of private firms. In addressing this gap, the study seeks to answer the following research question: What reasons for the adoption of HR analytics can be identified in public sector organisations?

Design/methodology/approach

The study employs a qualitative approach drawing on the empirical data collected from three public administrations in Sweden - national, regional and local. A total of 51 in-depth interviews are conducted with HR and other organisational practitioners engaged in HR analytics practices.

Findings

Drawing on the institutional legitimacy perspective, this paper suggests that public sector organisations adopt HR analytics to secure cognitive, socio-political and technological legitimacy, stemming from explanations rooted in economic rationality. This encompasses organisational and HR-related outcomes achieved through data management and analysis, driven by the personal interests of specific individuals.

Research limitations/implications

This study contributes to ongoing debates about the adoption of HR analytics in diverse contextual settings. Future research is needed in other organisational contexts, including various national and international settings.Practical implicationsThe results of this study offer practical insights for HR practitioners in public sector organisations seeking to adopt HR analytics to enhance organisational and HR legitimacy.

Originality/value

This study contributes to the HR analytics literature by providing empirical evidence from the public sector. Furthermore, it advocates for a synthesis of economic rationality with legitimacy gains and individual interests to elucidate the rationale behind the adoption of HR analytics.

Place, publisher, year, edition, pages
Emerald Group Publishing Limited, 2024
Keywords
Human resource analytics, People analytics, Public sector organisations, Economic rationality, Legitimacy, Public sector digitalisation
National Category
Business Administration
Identifiers
urn:nbn:se:uu:diva-550587 (URN)10.1108/PR-03-2024-0219 (DOI)001375128600001 ()2-s2.0-85211596810 (Scopus ID)
Available from: 2025-02-17 Created: 2025-02-17 Last updated: 2025-04-16
3. Abilities, motivation, and opportunities for HR analytics within public sector HR professionals
Open this publication in new window or tab >>Abilities, motivation, and opportunities for HR analytics within public sector HR professionals
(English)Manuscript (preprint) (Other academic)
Abstract [en]

The topic of human resource (HR) analytics has recently attracted increasing interest. Despite its numerous advantages, the adoption of HR analytics remains limited, particularly within the public sector. This study aims to explore the reasons behind this limitation. It applies the Ability, Motivation, and Opportunity (AMO) framework to examine the preconditions for HR analytics among HR professionals in the public sector. The study is based on 30 interviews with HR practitioners from three public administration authorities in Sweden, analysed using thematic template analysis. The findings reveal that although HR practitioners are highly motivated to align with government agendas, enhance decision-making, and ensure transparency, they face significant barriers. These include a lack of analytical skills and technical knowledge, limited data availability, inadequate technical support, scarce resources, and complex organisational structures. This study contributes to the growing HR analytics literature by highlighting the complexity involved in HR analytics adoption in the public sector context.

Keywords
Human Resource Management; Human Resource Analytics; People Analytics; Public Organisations; Human Resource Practitioners
National Category
Business Administration
Identifiers
urn:nbn:se:uu:diva-550588 (URN)
Available from: 2025-02-17 Created: 2025-02-17 Last updated: 2025-02-17
4. Translating HR analytics: from business buzzwords to public sector practices
Open this publication in new window or tab >>Translating HR analytics: from business buzzwords to public sector practices
(English)Manuscript (preprint) (Other academic)
Abstract [en]

The study examines the implementation of human resource analytics (HRA) within the context of public sector organisations, drawing upon the organisational translation perspective. We conduct a longitudinal process study of real-time HRA implementation projects in two public sector organisations in Sweden. The findings reveal that the content of the HRA concept undergoes significant transformation during the translation process, with components being copied, omitted, added, and altered. As a result, HRA in practice diverges substantially from its original idea. The study identifies three translation patterns: alignment to the needs of final users, technological determinism, and organisational complexity. We argue that these translation patterns may explain the outcomes from the unique translation processes. The study contributes to the organisational translation literature by integrating principles of heterogeneity and homogeneity of translation results. Additionally, it provides empirical evidence to the field of HRA, enhancing understanding of HRA in public sector organisations.

Keywords
HR analytics; human resource management; Scandinavian institutionalism; organisational translations; HR analytics implementation; public sector HR
National Category
Business Administration
Identifiers
urn:nbn:se:uu:diva-550589 (URN)
Available from: 2025-02-17 Created: 2025-02-17 Last updated: 2025-02-17

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