For child and family social workers, coping with the hardships of children and parents is part of the job. But that can cause a lot of stress. Is it possible for financially constrained organizations to improve social workers’ well-being using non-cash rewards, recognition, and other strategies from behavioral science? Assistant Professor Ashley Whillans describes the experience of Chief Executive Michael Sanders’ at the UK’s What Works Centre for Children’s Social Care, as he led a research program aimed at improving the morale of social workers in her case, “The What Works Centre: Using Behavioral Science to Improve Social Worker Well-being.”
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by Xiaojia Guo, Kenneth C. Lichtendahl Jr., and Yael Grushka-Cockayne
Many important business decisions rely on a manager’s forecast of a product or service’s life cycle. One of the most widely used forecasting techniques is exponential smoothing models. This paper introduces a model suitable for large-scale forecasting environments where key operational decisions depend on quantile forecasts.
Quantile Forecasts of Product Life Cycles Using Exponential Smoothing
Many important business decisions rely on a manager’s forecast of a product or service’s life cycle. One of the most widely used forecasting techniques is exponential smoothing models. This paper introduces a model suitable for large-scale forecasting environments where key operational decisions depend on quantile forecasts.