Cited by 263AI and HR TechnologiesEmployer Branding and e-HRMBig Data and Business Intelligence

People analytics—A scoping review of conceptual boundaries and value propositions

Open access
Tursunbayeva, Aizhan, Di Lauro, Stefano, Pagliari, Claudia·2018·International Journal of Information Management

Abstract

This mixed-method ‘scoping review’ mapped the emergence of the term People Analytics (PA), the value propositions offered by vendors of PA tools and services and the PA skillsets being sought by professionals. Analysis of academic research and online search traffic since 2002 revealed changes in the relative trajectory of PA and conceptually related terms over the past fifteen years, indicating both the re-branding of similar innovations and a differentiation of priorities and communities of practice. The market in commercial PA tools and services is diverse, offering numerous functional and strategic benefits, although published evidence of these outcomes remains sparse. Companies marketing PA systems and services emphasise benefits to employers more than to personnel. Across the sources examined, including specialised online courses, PA was largely aligned with HRM, however its development reflects the shifting focus of HR departments from supporting functional to strategic organisational requirements. Consideration of ethical issues was largely absent.

AI snapshot

Written from the paper’s full text.

TL;DR

This scoping review maps the emergence of People Analytics (PA), vendor value propositions, and PA training using Google Trends, Scopus, vendor websites, and MOOCs. It finds PA terminology has diversified and rebranded since 2002, vendor claims emphasize employer benefits, empirical evidence for promised outcomes is sparse, and ethical issues are largely absent.

Key findings

  • Analysis of academic research and online search traffic since 2002 revealed changes in the relative trajectory of PA and related terms over the past fifteen years, indicating both re-branding of similar innovations and differentiation of priorities and communities of practice. Google users began searching for People Analytics in 2005, and it overtook related terms in 2007; searches occurred in as many as 13 countries, with top terms varying by country (e.g., USA Human Capital Analytics, India Talent Analytics, Australia Workforce Analytics).
  • The Scopus search yielded 58 relevant academic articles, almost all published in or after 2012; only three articles overlapped with Marler and Boudreau’s review (which shortlisted 14), while the HCA Group list encompassed 28 articles dating from 2002. Most publications came from Business, Management and Accounting, but technical disciplines were strongly represented in Scopus, and one fifth of recent Scopus articles were affiliated with IBM.
  • All companies identified through online searches were either service providers or technology creators; their stated value propositions fell into overlapping categories: (A) better strategic decision making, (B) improved data handling, (C) improved people management, (D) new technological solutions, (E) direct impacts on HR or business outcomes, and (F) employee-oriented benefits. Companies marketing PA systems and services emphasised benefits to employers more than to personnel, and published evidence of these outcomes remained sparse.
  • Only three MOOCs with relevant keywords were identified: two explicitly included PA, one used HR Analytics; all were introductory-level. Across sources, PA was largely aligned with HRM, and consideration of ethical issues was largely absent.

Methods

  • Quasi-systematic scoping review following Arksey and O’Malley (2005), conducted in four phases: mapping PA-related terms via Google Trends; scoping academic research via Scopus (30/07/2017); scoping commercial PA tools and services via first-page Google results (30/07/2017); and scoping online training courses via the Wikipedia MOOC list (30/07/2017).
  • Seven core keywords were refined after Phase 1: “HR analytics,” “Human Capital analytics,” “Human Resource analytics,” “People analytics,” “Talent analytics,” “Workforce analytics,” and “Employee analytics.” Analysis used open coding, benchmark lists from Marler and Boudreau and the HCA Group, Scimago journal classification, Isson and Harriott’s 7 PA pillars, Libert et al.’s vendor taxonomy, and the Nesta “Profile of a Perfect Data Analyst.”

Limitations

  • The paper states that scoping reviews are exploratory and intended to provide insights rather than in-depth analysis; given rapid technological change, the review represents only a snapshot of the field to date. It also notes that the first page of Google results provides only a snapshot of the vendor ecosystem, that deeper iterative web searches and expert consultation would be valuable, that few empirical studies were found, that ethical considerations were largely absent, and that the HCA Group list was not systematically maintained.
  • Evident from the text: vendor value propositions were drawn from online promotional narratives rather than independent evaluation; only three MOOCs were identified and course assessment was attempted without enrolling; and, consistent with scoping review design, included studies were not critically appraised for methodological quality.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1016/j.ijinfomgt.2018.08.002

Cites

35 of 35 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

6 of 23 cited sources checked · 5 supported · 0 flagged · accuracy not yet measured

  • Premisecitation

    Lawyers, ethicists and management scientists are already addressing some of these issues.

    “Although lawyers, ethicists and management scientists are already addressing some of these issues (e.g.Bodie, Cherry, McCormick, & Tang, 2017;Dagnino, 2017;Pasquale, 2015)”
    Quote in the paperNot a substantial claim1 of 3 sources checked
    • cites Bodie, Cherry, McCormick, & Tang, 2017

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Dagnino, 2017 source
    • cites Pasquale, 2015

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • Findingnone given

    Published evidence of the outcomes of commercial PA tools and services remains sparse.

    “although published evidence of these outcomes remains sparse”
    Quote in the paperSubstantial claim
  • Findingown data

    Across the sources examined, including specialised online courses, PA was largely aligned with HRM.

    “Across the sources examined, including specialised online courses, PA was largely aligned with HRM”
    Quote in the paperSubstantial claim
  • Findingnone given

    Companies marketing PA systems and services emphasise benefits to employers more than to personnel.

    “Companies marketing PA systems and services emphasise benefits to employers more than to personnel.”
    Quote in the paperSubstantial claim
  • Findingown data

    Analysis of academic research and online search traffic since 2002 revealed changes in the relative trajectory of PA and conceptually related terms over the past fifteen years.

    “Analysis of academic research and online search traffic since 2002 revealed changes in the relative trajectory of PA and conceptually related terms over the past fifteen years”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim. 26
  • May combine two claims. 26
  • The quote only partly states this claim. 1
  • Classified as probably not a substantial claim.

    Premisecitation

    HR data are important for effective management and organisational efficiency.

    “which highlighted the importance of HR data for effective management and organisational efficiency (Tursunbayeva, Bunduchi, Franco, & Pagliari, 2016).”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites Tursunbayeva, Bunduchi, Franco, & Pagliari, 2016 source
  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation

    Scoping reviews address broad rather than narrow research questions and seek to profile the literature and understand it holistically, rather than to critically appraise the methodological quality of individual studies.

    “Scoping reviews thus address broad rather than narrow research questions and seek to profile the literature and understand it holistically, rather than to critically appraise the methodological quality of individual studies (Holeman, Cookson, & Pagliari, 2016).”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites Holeman, Cookson, & Pagliari, 2016 source
  • May combine two claims.

    Premisecitation

    Scoping reviews are often used to examine emerging topics that are poorly understood, where research is at an early stage, or where pertinent knowledge is being generated outside academia.

    “Scoping reviews are often used to examine emerging topics that are poorly understood, where research is at an early stage, or where pertinent knowledge is being generated outside academia.”
    Quote in the paperSubstantial claim2 of 2 sources checked
    • cites Arksey and O'Malley (2005) source
    • cites Holeman, Cookson, & Pagliari, 2016 source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    PA promises to help organisations understand their workforce as a whole, as departments or work groups, and as individuals, by making data about employee attributes, behaviour and performance more accessible, interpretable and actionable.

    “PA promises to help organisations understand their workforce as a whole, as departments or work groups, and as individuals, by making data about employee attributes, behaviour and performance more accessible, interpretable and actionable (Pape, 2016).”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites Pape, 2016 source

      Section 4.1 (p. 9) describes analyses of employee performance and headcount, while section 4.2 (p. 10) says analyses can be broken down by location, role, department and manager. Appendix A (p. 13) includes decisions about individual employees. These passages support using HR analytics to understand the workforce at several levels, but they do not establish the claim that it makes employee data more accessible and interpretable. (LLM, conf=0.82)

      Experimental — accuracy not yet measured
  • May combine two claims.

    Findingnone given

    The market in commercial PA tools and services is diverse, offering numerous functional and strategic benefits.

    “The market in commercial PA tools and services is diverse, offering numerous functional and strategic benefits”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Searches for Human Capital Analytics appeared and rose from 2004.

    “Searches for Human Capital Analytics appeared and rose from 2004”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Findingcitation

    The keywords used in Marler and Boudreau's review included HR Analytics and Human Resource Analytics; Information Systems including Human Resource Information Systems; and generic HR terms such as Human Resource or Human Resource Management.

    “These keywords included: HR Analytics and Human Resource Analytics; Information Systems including Human Resource Information Systems; and generic HR terms such as Human Resource or Human Resource Management.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Marler and Boudreau, 2017 source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    One fifth of recent articles found in Scopus are affiliated with IBM.

    “indeed one fifth of recent articles found in Scopus are affiliated with IBM”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    The most common keyword with our Scopus search terms was Human Capital, reflecting the focus of the HCA group.

    “with our Scopus search terms was Human Capital, reflecting the focus of the HCA group.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Findingown data

    The scoping review process enabled identification of a more comprehensive set of search terms than previously known.

    “Here, this enabled us to identify a more comprehensive set of search terms than we had previously been aware of”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Technical disciplines such as the computing and mathematical sciences are strongly represented in Scopus and somewhat in Marler and Boudreau's lists but absent in the HCA group's list.

    “Most significantly, technical disciplines such as the computing and mathematical sciences are strongly represented in Scopus and somewhat in Marler and Boudreau's lists but absent in the HCA group's list.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Using our targeted search terms in Scopus yielded only studies published after 2008, whilst the HCA group's list goes back to 2002.

    “Using our targeted search terms in Scopus yielded only studies published after 2008, whilst the HCA group's list goes back to 2002.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Findingreasoning

    Including emerging terms such as 'Human Capital Data', 'Human Resource data', 'Talent data', 'Workforce data', 'Analytics in HR', 'HR metrics', 'HR predictive analytics', 'Collaboration Analytics', 'People Intelligence', 'Labor Analytics' and 'Relationship Analytics' is important for people analytics searches.

    “and of including emerging terms such as “Human Capital Data”, “Human Resource data”, “Talent data”, “Workforce data”, “Analytics in HR”, “HR metrics”, “HR predictive analytics”, “Collaboration Analytics”, “People Intelligence”, “Labor Analytics” and “Relationship Analytics”.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    All of the companies identified through our online searches are either service providers or technology creators.

    “All of the companies identified through our online searches are either service providers or technology creators.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    Google users began searching for People Analytics in 2005.

    “Google users began searching for People Analytics in 2005”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    The most popular keywords specified in articles derived from our Scopus search results were: Workforce Analytics; HR Analytics; Human Resource Management; People Analytics; and Human Resource Analytics.

    “The most popular keywords specified in articles derived from our Scopus search results were: Workforce Analytics; HR Analytics; Human Resource Management; People Analytics; and Human Resource Analytics.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    All three courses are introductory-level courses, explaining how PA can be used for diverse HRM practices.

    “All three are introductory-level courses, explaining how PA can be used for diverse HRM practices (see Table 3).”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: The openly accessible information describing MOOC is sufficient to assess their learning objectives.
  • May combine two claims.

    Findingown data

    Our broader scoping analysis reveals similar objectives to Marler and Boudreau's definition of HR analytics, but we note that vendors such as Accenture, IBM and QuestionPRO have begun to extend this to improvements in employee experience and satisfaction.

    “While our broader scoping analysis reveals similar objectives, we note that vendors such as Accenture, IBM and QuestionPRO have begun to extend this to improvements in employee experience and satisfaction.”
    Quote in the paperSubstantial claim
  • May combine two claims. The quote only partly states this claim.

    Findingown data

    The following overlapping categories of promised benefit emerged from the qualitative analysis of vendors' online marketing narratives: (A) Better strategic decision making through access to reliable information and analytical tools; (B) Improved data handling processes using innovative approaches to data collection, combination, analysis and interpretation; (C) Improved people management from HRM

    “The following overlapping categories of promised benefit emerged from the qualitative analysis of vendors' online marketing narratives:”
    Quote in the paperSubstantial claim
    • Rests on an assumption: Vendors' online promotional narratives accurately represent the value propositions of their PA tools and services.
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Findingcitation

    PA technology vendors offer IT systems for achieving these aims by making workforce intelligence and predictive analytics more accessible, thus supporting strategic decision making and improving business outcomes.

    “PA technology vendors offer IT systems for achieving these aims by making workforce intelligence and predictive analytics more accessible, thus supporting strategic decision making and improving business outcomes, reflecting the vision of 'actionable analytics' (Dykes, 2016).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Dykes, 2016

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Findingcitation

    In practice, many of these terms are being used interchangeably, both by academics and vendors, although some practitioners align HR analytics with conventional HR and PA with a broader range of enterprise-level and strategic analytics.

    “In practice, many of these terms are being used interchangeably, both by academics and vendors, although some practitioners align HR analytics with conventional HR and PA with a broader range of enterprise-level and strategic analytics (Van Vulpen, 2016).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Van Vulpen, 2016

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Findingown data

    Some people analytics practices are covert or reach beyond the boundaries of organizations themselves.

    “some of which are covert or reach beyond the boundaries of organisations themselves.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Findingown data

    Widening searches beyond academic databases is important for uncovering relevant grey literature.

    “It also demonstrated the importance of widening searches beyond academic databases to uncover relevant grey literature”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    The top search terms were Human Capital Analytics in the USA, Talent Analytics in India, and Workforce Analytics in Australia, while searches in the UK were more evenly spread across terms.

    “For example, the top search terms were, in the USA Human Capital Analytics, in India Talent Analytics and in Australia Workforce Analytics, while searches in the UK were more evenly spread across terms.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Cross-referencing vendors' stated solutions with the coded articles in our review revealed some overlap in vision and intentions, but little evidence of the benefits promised.

    “Cross-referencing vendors' stated solutions with the coded articles in our review revealed some overlap in vision and intentions, but little evidence of the benefits promised.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: Vendors' online promotional narratives accurately represent the value propositions of their PA tools and services.
  • May combine two claims.

    Findingown data

    Most of the academic articles and PA courses included in our review approach PA as a sub-field of HR, which was also reflected in the headline curricula of the three MOOC.

    “Most of the academic articles and PA courses included in our review approach PA as a sub-field of HR, which was also reflected in the headline curricula of the three MOOC.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    Studies that did not belong to the 7 pillars categories were grouped into separate categories: collaborations, diversity and inclusion, People Risks, and inter-organisational relationships.

    “These included studies that focused on: collaborations (e.g.studying work patterns from employees' collaboration activities); diversity and inclusion (e.g.understanding how demographic factors and workforce composition can affect individual, team or organisational performance); People Risks (e.g.quantifying human risks and reviewing existing risk measures); and inter-organisational relationships (”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Academic articles specific to PA emerged only in the last two years and PA is now the most popular of the relevant terms according to Google Trends, closely followed by HR Analytics.

    “Academic articles specific to PA emerged only in the last two years and this is now the most popular of the relevant terms according to Google Trends, closely followed by HR Analytics.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    The results of our scoping review demonstrate the emergence of the term People Analytics and related concepts over the last 15 years, both within academic research and in online searches.

    “The results of our scoping review demonstrate the emergence of the term People Analytics and related concepts over the last 15 years, both within academic research and in online searches.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingcitation

    The most popular objectives and practices, based on Isson and Harriot's 7 pillars model, were performance assessment and development and employee lifetime values; onboarding, culture fit, and engagement, and workforce planning.

    “The most popular objectives and practices, based on Isson and Harriot's 7 pillars model, were performance assessment and development and employee lifetime values; onboarding, culture fit, and engagement, and workforce planning.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Isson and Harriot's 7 pillars model

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Interpretationown data

    The changes in relative trajectory of PA and conceptually related terms indicate both the re-branding of similar innovations and a differentiation of priorities and communities of practice.

    “indicating both the re-branding of similar innovations and a differentiation of priorities and communities of practice”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Premisecitation

    PA is still not well understood in the business or academic communities beyond HR innovators, or in high-risk sectors such as defence and financial services.

    “Despite this potential, PA is still not well understood in the business or academic communities (Marler & Boudreau, 2017) beyond HR innovators, or in high-risk sectors such as defence and financial services, where such practices are often shrouded in commercial secrecy.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Marler & Boudreau, 2017 source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationreasoning

    With advances in privacy regulations, such as the recently enforced European General Data Protection Directive, people analytics practitioners may soon have to re-think some of these approaches.

    “With advances in privacy regulations, such as recently enforced European General Data Protection Directive, PA practitioners may soon have to re-think some of these approaches.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationcitation

    Other recent trends include the use of linked employee data and analytics as a substitute for conventional psychometric testing in the acquisition and management of talent.

    “Other recent trends include the use of linked employee data and analytics as a substitute for conventional psychometric testing in the acquisition and management of talent”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Interpretationreasoning

    The growth in professional conferences focused on PA indicates the desire, primarily amongst international HR professionals, to fill this gap.

    “In the meantime, the growth in professional conferences focused on PA (e.g. the Wharton People Analytics Conference or HR Analytics India Summit 2017) indicates the desire, primarily amongst international HR professionals, to fill this gap.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Study design and conductreasoning

    Since PA is an emergent topic, it was appropriate to use a broad scoping approach rather than concentrating on a narrow and likely unrepresentative academic research literature and specific and narrow research questions.

    “Since PA is an emergent topic it was appropriate to use this broad approach rather than concentrating on a narrow and likely unrepresentative academic research literature and specific and narrow research questions.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationown data

    The emergence of these categories illustrates the rapid development and diversification of the field.

    “The emergence of these categories illustrates the rapid development and diversification of the field, as already discussed with reference to terminologies and disciplines.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationown data

    Manual inspection of the pre- and post-2008 publications suggests that PA emerged from organisational psychology and psychometrics but has since been marked by a trend towards the computing and data sciences.

    “Manual inspection of the pre-and post-2008 publications suggests that PA emerged from organisational psychology and psychometrics but has since been marked by a trend towards the computing and data sciences.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductreasoning

    The scoping review represents only a snapshot of the people analytics field to date.

    “Given the rapid pace of technological change, this represents only a snapshot of the field to date.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Interpretationreasoning

    Changes in terminology also suggest a re-branding of similar concepts by successive practitioner cohorts and vendors, as they seek to differentiate their knowledge, services or products in a competitive market.

    “They also suggest a re-branding of similar concepts by successive practitioner cohorts and vendors, as they seek to differentiate their knowledge, services or products in a competitive market.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationreasoning

    The increasing inclusion of PA within university curricula on business and management, along with new programmes in data science, and the emergence of other relevant online courses will go some way towards addressing this deficit.

    “Nevertheless, the increasing inclusion of PA within university curricula on business and management (e.g. the HR Analytics and Research course from the University of Denver, USA), along with new programmes in data science (e.g. the MSc in Data Science, Technology and Innovation from the University of Edinburgh, UK), and the emergence of other relevant online courses (e.g.People Analytics training”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductown data

    To check the inclusivity of our search results, the titles of articles judged to be relevant were cross-referenced with those appearing in two benchmark literature sources.

    “To check the inclusivity of our search results, the titles of articles judged to be relevant were cross-referenced with those appearing in two benchmark literature sources”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S4 (based).

    Study design and conductnone given

    The first page of Google results for each key search term provides only a snapshot of the vendor ecosystem.

    “The first page of Google results arising from each key search term provides only a snapshot of the vendor ecosystem.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationcitation

    An increasing emphasis on measuring people risks via analytics is noteworthy, including conventional risks such as staff attrition, organisational reputation or customer safety, and new forms of cyber-risk such as hack vulnerability or data theft.

    “An increasing emphasis on measuring people risks (Marsh Risk Consulting, 2017) via analytics is also noteworthy, including not only conventional risks such as staff attrition, organisational reputation or customer safety, but also new forms of cyber-risk for which these new methods are well-suited, such as hack vulnerability or data theft (e.g.Royal & Windsor, 2016).”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites Marsh Risk Consulting, 2017

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Royal & Windsor, 2016 source
  • May combine two claims.

    Interpretationown data

    The Internet cluster seems to be unique to the People Analytics keyword, suggesting that the scope of the PA concept extends beyond internal HR processes and practices.

    “The Internet cluster seems to be unique to the People Analytics keyword, suggesting that the scope of the PA concept extends beyond internal HR processes and practices.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationnone given

    Monitoring personal social media or email activity has implications for privacy.

    “Examples include the monitoring of personal social media or email activity, which have implications for privacy”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationown data

    Our analysis of the PA-associated terms used in academic sources and in Google searches reveals an evolving and diversifying field originating in the traditional HRM profession, through a critical period of innovation in digital infrastructure, technologies and analytical capabilities, reflecting broader trends in the digital economy over the period studied.

    “Our analysis of the PA-associated terms used in academic sources and in Google searches reveals an evolving and diversifying field originating in the traditional HRM profession (historically influenced by industrial psychology), through a critical period of innovation in digital infrastructure, technologies and analytical capabilities, reflecting broader trends in the digital economy over the”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductcitation

    We included only the organic results and omitted paid advertisements.

    “For our analysis we included only the organic results (Ratliff & Rubinfeld, 2014), and omitted paid advertisements.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Ratliff & Rubinfeld, 2014 source
48 of 48
  • The paper relies on this without support.

    Vendors' online promotional narratives accurately represent the value propositions of their PA tools and services.

    “We then reviewed the narrarative in vendors' online promotional material, to identify the specified or implied benefits offered to prospective purchasers (value proposition).”
  • The paper relies on this without support.

    The openly accessible information describing MOOC is sufficient to assess their learning objectives.

    “After examining the openly accessible information describing each course, we extracted those most closely related to PA and attempted to assess their learning objectives, insofar as this was possible without enrolling.”
  • The paper relies on this without support.

    People analytics is an emerging area.

    “the intention here was to provide insights about this emerging area”
3 of 3

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Few organizations are meaningfully engaging with the important ethical challenges and risks people analytics presents for employees' privacy, autonomy and future work opportunities.

    “few are meaningfully engaging with the important ethical challenges and risks these present for employees' privacy, autonomy and future work opportunities (Tursunbayeva et al., 2018).”

    From The ethics of people analytics: risks, opportunities and recommendations (2022) · cites this paper as Tursunbayeva et al., 2018

    The Conclusions report a marked absence of ethical considerations in the sources reviewed and call ethics a blind spot for the people-analytics profession. They identify privacy, consent, and bias in recruitment or promotion as risks. The review does not establish how many organizations meaningfully engage with those risks, so the claim’s organization-level assertion goes beyond its evidence. (LLM, conf=0.83)

    Experimental — accuracy not yet measured
  • There has been little academic research on people analytics despite mushrooming market penetration of vendor solutions and widespread corporate interest in engaging with these innovations.

    “there has been little academic research on the topic of PA, despite the mushrooming market penetration of vendor solutions and widespread corporate interest in engaging with these innovations.”

    From The ethics of people analytics: risks, opportunities and recommendations (2022) · cites this paper as Tursunbayeva et al., 2018

    The Conclusions report finding few empirical studies and call for more academic research; the Introduction describes growing interest in workforce analytics. Section 3.3 identifies numerous PA vendors, but the paper’s vendor-webpage survey does not establish mushrooming market penetration or widespread corporate uptake of their solutions. (LLM, conf=0.82)

    Experimental — accuracy not yet measured
  • Discussion of ethical issues in PA has appeared in the academic and grey literature mainly in the last three years, more than a decade after the first PA articles were published.

    “Our analysis indicates that discussion of ethical issues in PA has appeared in the academic and grey literature mainly (although not extensively) in the last three yearsmore than a decade after the first PA articles were published (Tursunbayeva et al., 2018).”

    From The ethics of people analytics: risks, opportunities and recommendations (2022) · cites this paper as Tursunbayeva et al., 2018

    Section 2.2 dates a list of PA articles back to 2002, and the Conclusions report a marked absence of ethical considerations while citing discussions from 2015 and 2017. The paper does not establish that discussion of PA ethics in academic and grey literature appeared mainly in the last three years; that timing is presented as the citing authors’ own analysis. (LLM, conf=0.83)

    Experimental — accuracy not yet measured
  • Currently, in HR Analytics, algorithmic HRM primarily augments HRM decision-making in that human decision makers may choose not to act on algorithmic-enabled insights or choose alternatives that are not necessarily predicted to be optimal by an algorithm.

    “Currently, in HR Analytics, algorithmic HRM primarily augments HRM decision-making in that human decision makers may choose not to act on algorithmic-enabled insights or choose alternatives that are not necessarily predicted to be optimal by an algorithm (Rasmussen & Ulrich, 2015;Tursunbayeva et al., 2018).”

    From Algorithmic human resource management: Synthesizing developments and cross-disciplinary insights on digital HRM (2021) · cites this paper as Tursunbayeva et al., 2018

    Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Google-search countries total 14, not 13

    Minor

    The appendix names five countries in its main columns and nine additional countries, for 14 distinct countries. The discussion says searches took place in as many as 13 countries.

  • Conflicting counts of courses explicitly named People Analytics

    Minor

    The findings say two courses explicitly include "People Analytics" in their titles, whereas the discussion says only one was explicitly labelled "People analytics." Table 3 lists both "Introduction to People Analytics" and "People Analytics."

  • Vendor classified outside the two stated company types

    Minor

    The discussion says all companies identified through the online searches are service providers or technology creators, but Table 2 also classifies TechTarget as a network orchestrator.

3 of 3

Cites

Flagged first, then by citations

Research works printed but not linked: 4

  1. Libert, 2016, Why are we still classifying companies by industry?, Harvard Business Review
  2. Massey, 2017, People Analytics, Coursera, 2017
  3. Pagliari, 2018, People analytics – pathway to organisational enlightenment or ethical minefield? Professional development workshop, British Academy of Management Conference
  4. Scimago Journal Ranking Portal, 2017. Scimago Journal & Country Rank.

Cited by

Sorted by citations

Authors
Tursunbayeva, A., Di Lauro, S., & Pagliari, C.
Affiliations
  • University of Molise (IT)
  • University of Edinburgh (GB)
Corresponding author
Tursunbayeva, Aizhan
Venue
International Journal of Information Management
Publisher
Elsevier BV
Published
2018-12
Volume
43
Pages
224-247
ISSN
0268-4012 (ISSN-L)
OpenAlex
W2889180445
Cited by
263
References
32
Citations by year
2026: 57 · 2025: 33 · 2024: 41 · 2023: 47 · 2022: 31 · 2021: 28 · 2020: 20 · 2019: 5 · 2018: 1
FWCI
22.41
Type
journal article
Language
en
Open access
Locations
  • International Journal of Information Management (publishedVersion, cc-by-nc-nd)
  • RePEc: Research Papers in Economics (submittedVersion)
  • Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, cc-by-nc-nd)
  • CINECA IRIS Institutial research information system (Parthenope University of Naples) (submittedVersion)
Funders
  • HSBC Bank USA
  • Università degli Studi di Napoli Federico II
  • Research Councils UK
  • University of Edinburgh
  • Università degli Studi del Molise
  • Economic and Social Research Council (ES/L007487/1)
Topics
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Employer Branding and e-HRM
  • Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
Keywords
HR analytics, value proposition, human resource management, strategic human resource management, conceptual boundaries, employer benefits

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-11-03.

Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-11-03.

Cited sources are checked by gpt-6-sol.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

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