Human capital analytics: why are we not there?
Abstract
<jats:sec><jats:title content-type="abstract-subheading">Purpose</jats:title><jats:p>While human capital analytics (HCA) recently has developed enormous interest, most organizations still find themselves struggling to move from operational reporting to analytics. The purpose of this paper is to explore why that is the case and can be done to change that.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Design/methodology/approach</jats:title><jats:p>Referring to the “LAMP” model, the authors stress four elements as potential reasons why HCA are not sufficiently being “pushed” toward their audience, namely, logic, analytics, measures, and process. Similarly, they name five conditions why the wider use of HCA is not “pulled” in by the analytics user.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Findings</jats:title><jats:p>The authors investigations show that these “push” and “pull” factors behind the lack of greater use of HCA represent fertile ground for future research and implications for practitioners on both ends.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Practical implications</jats:title><jats:p>These “push” and “pull” factors behind the lack of greater use of HCA represent fertile ground for future research and implications for practitioners on both ends.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Originality/value</jats:title><jats:p>These “push” and “pull” factors behind the lack of greater use of HCA represent fertile ground for future research and implications for practitioners on both ends.</jats:p></jats:sec>