Four Lessons Learned in How to Use Human Resource Analytics to Improve the Effectiveness of Leadership Development

Bassi, Laurie J.; McMurrer, Dan

doi:10.1002/jls.21471

Cited by 16 publications

(7 citation statements)

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“…After removing duplicates, 202 records remained. A screening process of abstracts at this point resulted in the exclusion of a further 83 records for the following reasons: the content was not relevant for the HRA topic (45); the content was of JOEPP questionable quality because it was published in a journal or by a publisher listed in Beall's list of potentially predatory journals and publishers (21); the article was an editorial (7), a book review (3), a summary of other studies (3), an internal university publication (2), an executive interview (1), or a review of conferences (1). After identification and selection, all the 119 fulltext articles were read.…”

Section: Methodsmentioning

confidence: 99%

HR analytics-as-practice: a systematic literature review

Espegren,

Hugosson

2023

JOEPP

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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.

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Section: Methodsmentioning

confidence: 99%

HR analytics-as-practice: a systematic literature review

Espegren,

Hugosson

2023

JOEPP

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“…Organizations increasingly rely on HR insights to succeed in the fast-paced business climate. These insights can lead to decisions that provide a business an edge over its competitors (Bassi and McMurrer, 2016). In fact, effective use of analytics could pave the way for the future creation of sound, enduring organizations and create a wealth of opportunities for careers in human resources (Ulrich and Dulebohn, 2015).…”

Section: Introductionmentioning

confidence: 99%

Trends in the thematic landscape of HR analytics research: a structural topic modeling approach

Thakral

Srivastava

Dash

et al. 2023

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PurposeThe growth of the global labor force and business analytics has significantly impacted human resource management (HRM). Human resource (HR) analytics is an emerging field that creates value for employees and organizations. By examining the existing studies on HR analytics, the paper systematically reviews the literature to identify active research areas and establish a roadmap for future studies in HR analytics.Design/methodology/approachA portfolio of 503 articles collected from the Scopus database was reviewed. The study has adopted a Latent Dirichlet allocation (LDA) topic modeling approach to identify significant themes in the literature.FindingsThe HR analytics research domain is classified into four categories: HR functions, statistical techniques, organizational outcomes and employee characteristics. The study has also developed a framework for organizations adopting HR analytics. Linking HR with blockchain technology, explainable artificial intelligence and Metaverse are the areas identified for future researchers.Practical implicationsThe framework will assist practitioners in identifying statistical techniques for optimizing various HR functions. The paper discovers that by implementing HR analytics, HR managers and business partners can run reports, make dashboards and visualizations and make evidence-based decision-making.Originality/valueThe previous studies have not applied any machine learning techniques to identify the topics in the extant literature. The paper has applied machine learning tools, making the review more robust and providing an exhaustive understanding of the domain.

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“…HR analytics presents a noteworthy chance to affect the HR profession. In particular, for organizations to succeed in today's dynamic business world, they have to increasingly rely on HR insights, which can further be transformed into actions to have a competitive edge over its rivals (Bassi and McMurrer, 2016). Indeed, the successful utilization of analytics may be a significant contributor to the building of great, sustainable organizations in the future and a colossal HR career opportunity (Beatty, 2015;Ulrich and Dulebohn, 2015).…”

Section: Introductionmentioning

confidence: 99%

Human resource analytics: a review and bibliometric analysis

Qamar

Samad

2021

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PurposeThis paper aims to identify the current research trends and set the future research agenda in the area of human resource (HR) analytics by an extensive review of the existing literature. The paper aims to capture state of the art and develop an exhaustive understanding of the theoretical foundations, concepts and recent developments in the area.Design/methodology/approachA portfolio of 125 articles collected from the Scopus database was systematically analyzed using a two-tier method. First, the evolution, current state of the literature and research clusters are identified using bibliometric techniques. Finally, using content analysis, the research clusters are studied to develop the future research agenda.FindingsBased on the bibliometric analysis, network analysis and content analysis techniques, this study provides a comprehensive review of the existing literature. The study also highlights future research themes by identifying knowledge gaps based on content analysis of research clusters.Research limitations/implicationsThe evolution and the current state of the HR analytics literature are presented. Some specific research questions are also provided to help future research.Originality/valueThis study enriches the literature of HR analytics by integrating bibliometric analysis and content analysis to develop a more systematic and exhaustive understanding of the research area. The findings of this study may assist fellow researchers in furthering their research in the identified research clusters.

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Four Lessons Learned in How to Use Human Resource Analytics to Improve the Effectiveness of Leadership Development

Cited by 16 publications

References 0 publications

HR analytics-as-practice: a systematic literature review

HR analytics-as-practice: a systematic literature review

Trends in the thematic landscape of HR analytics research: a structural topic modeling approach

Human resource analytics: a review and bibliometric analysis

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