Human resource metrics and decision support: A classification framework

Abstract

Human resource information systems and analytics have transformed the delivery of HR services and the role of HR within organizations. In spite of the complexity of HR and the different roles HR plays, there has been limited research which helps inform the selection, application and use of HR metrics and analytics to the operational, managerial, and strategic levels that HR occupies. Therefore, the goal of this article is to provide a framework that describes the data needs, decision characteristics, and HR metrics to these different levels of HR activity and decision-making. We provide a number of research propositions and implications of the model. We finish the paper with a discussion of the implications that this framework has for how HR decisions are made, the types of data used in support of these decisions, and the metrics used.