Human Resource (HR) analytics (or people analytics) includes a large family of methods and applications aimed to analyse people-related data and build robust and effective HR-centred organizational processes. The development of HR analytics is a relevant trend, of major interest for scholars and practitioners, and this is particularly true in the post-pandemic scenario, characterized by growing volatility, uncertainty and complexity. Such conditions are requiring organizations to increasingly put human resources at the centre of their resilience building and transformation processes. Advanced intelligence and decision support capabilities are crucial to build people-centred organizations, and new theory contributions and practitioner advancements are thus needed to provide robust conceptual frameworks and real-life applications. In such endeavour, we present HUMANWISE, an integrated HR analytics system providing analytics tools to support workforce status monitoring, competence re-allocation and development, and predictive analysis. We adopt an interdisciplinary and multi-dimensional approach and a mixed research process, which includes a systematic review of literature on HR analytics and a design science and group model building activity, aimed to involve key stakeholders in the conceptualization and development effort. We describe the conceptual architecture of the HR analytics system, with key design choices in terms of data input, processing and output. Next, we formulate a set of corporate scenarios and an illustrative dashboard to generate decision support functionalities for company managers and provide them with insights useful to build more robust HR-centred transformation plans.

A Human Resources Analytics Dashboard to support People-Centred Organizational Transformation

Margherita A.;Elia G.;Solazzo G.;
2022-01-01

Abstract

Human Resource (HR) analytics (or people analytics) includes a large family of methods and applications aimed to analyse people-related data and build robust and effective HR-centred organizational processes. The development of HR analytics is a relevant trend, of major interest for scholars and practitioners, and this is particularly true in the post-pandemic scenario, characterized by growing volatility, uncertainty and complexity. Such conditions are requiring organizations to increasingly put human resources at the centre of their resilience building and transformation processes. Advanced intelligence and decision support capabilities are crucial to build people-centred organizations, and new theory contributions and practitioner advancements are thus needed to provide robust conceptual frameworks and real-life applications. In such endeavour, we present HUMANWISE, an integrated HR analytics system providing analytics tools to support workforce status monitoring, competence re-allocation and development, and predictive analysis. We adopt an interdisciplinary and multi-dimensional approach and a mixed research process, which includes a systematic review of literature on HR analytics and a design science and group model building activity, aimed to involve key stakeholders in the conceptualization and development effort. We describe the conceptual architecture of the HR analytics system, with key design choices in terms of data input, processing and output. Next, we formulate a set of corporate scenarios and an illustrative dashboard to generate decision support functionalities for company managers and provide them with insights useful to build more robust HR-centred transformation plans.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11587/533566
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