In an era in which child protective service agencies face increased demands on their time and in an environment of stable or shrinking resources, great interest exists in improving risk assessment and decision support. In this article, we review the literature and provide a context for predictive risk modeling in the current operational risk modeling analytics pdf assessment paradigm in child protective services.
We describe how predictive analytics or predictive risk modeling using linked administrative data may provide a useful complement to current approaches. We argue that leveraging technology and using existing data to improve initial triage and assessment decisions will enable caseworkers to focus on what they do best: engaging families and providing needed services. Check if you have access through your login credentials or your institution. This editorial introduces the unique attributes of this special issue in the era of climate change, modern slavery, and big data. This special issue envisages the depth of penetration of sustainability, from strategy to the operations level, to understand the extent to which sustainability has attracted researchers and practitioners in dealing with various facets of operations management.
Overall, it is encouraging to notice the research developments in all facets of operations management except process type, layout type, forecasting, and queuing. Out of three sustainability dimensions, this special issue received substantial contributions on economic and environmental aspects. All the contributions had at least two sustainability components in their decision models as well as newer analytical solutions. At the end, this piece outlines future research challenges and potential research opportunities. 2017 Published by Elsevier Ltd. IBM Analytics delivers cognitive business with hybrid data management, business analytics, data science, enterprise data management, unified governace and Watson data platform.
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