Making voting more accessible through technology could allow more people to take part in elections. But it also poses critical downsides, if the product fails or there are security failures. Harvard Business School professor Mitchell Weiss debates the risks, rewards, and business models for mobile voting in his case study on “Voatz.”
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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.