Description
Interest and investment in Business Analytics (BA) have grown substantially the last decade and applying BA in the domain of Human Resource Management (HRM) has received much attention from practitioners. An increased understanding of what potential HR Analytics has and how this potential is recognized and used is of practical and academic importance. Using the lenses of Functional Affordances and Sensemaking from Information Systems (IS) literature, an explorative case survey is performed. Cases from conferences and publications are qualitatively analyzed. Twelve Functional Affordances of HR Analytics were identified along with exemplary Sensemaking Frames and Sensemaking Patterns. This explorative study provides insights into the Functional Affordances and Sensemaking mechanisms of HR Analytics on an organizational level. It contributes to prior IS research in terms of the potential use of HR Analytics and the Sensemaking mechanisms used to identify and develop these affordances.
Recommended Citation
Werkhoven, John, "Exploring Functional Affordances and Sensemaking in Human Resource Analytics" (2017). AMCIS 2017 Proceedings. 2.
https://aisel.aisnet.org/amcis2017/DataScience/Presentations/2
Exploring Functional Affordances and Sensemaking in Human Resource Analytics
Interest and investment in Business Analytics (BA) have grown substantially the last decade and applying BA in the domain of Human Resource Management (HRM) has received much attention from practitioners. An increased understanding of what potential HR Analytics has and how this potential is recognized and used is of practical and academic importance. Using the lenses of Functional Affordances and Sensemaking from Information Systems (IS) literature, an explorative case survey is performed. Cases from conferences and publications are qualitatively analyzed. Twelve Functional Affordances of HR Analytics were identified along with exemplary Sensemaking Frames and Sensemaking Patterns. This explorative study provides insights into the Functional Affordances and Sensemaking mechanisms of HR Analytics on an organizational level. It contributes to prior IS research in terms of the potential use of HR Analytics and the Sensemaking mechanisms used to identify and develop these affordances.