In this paper, we create machine learning (ML) models to forecast home equity credit risk for individuals using a real-world dataset and demonstrate methods to explain the output of these ML models to make them more accessible to the end-user. We analyze the explainability of these models for...

A considerable body of research substantiating the importance of workforce diversity to public organizations has accrued over the past two decades. However, research on workforce diversity has also been narrow in scope and frequently fails to link diversity to important individual and...

A considerable body of research substantiating the importance of workforce diversity to public organizations has accrued over the past two decades. However, research on workforce diversity has also been narrow in scope and frequently fails to link diversity to important individual and...

Over the past several decades, a substantial body of research has accrued demonstrating how important workforce diversity is to public organizations. Yet, despite its apparent importance, research on workforce diversity has been relatively narrow in scope and frequently fails to link diversity...

Public management scholars consistently argue that public organizations must now deliver services in the context of networks that span jurisdictional and sector boundaries, and that they are subjected to greater degrees of goal and role ambiguity as compared to private organizations. Yet,...