In March 2019, Molson Coors CEO Mark Hunter considered a request to pull forward $65 million to build a facility in Canada to produce cannabis beverages. This request was not part of the original plan to test the waters with a few products in a small geography to see if there was a viable market opportunity, given that there was no legal market yet. It's this change in direction that gives Hunter pause. Should he approve the request, or push the team back to the original, more conservative plan? Senior Lecturer Derek van Bever and Steve Kaufman discuss balancing exploitation versus exploration inside this global brewing company in the case, "Beyond Beer: Brewing Innovation at Molson Coors."
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If workers are in short supply, why do employers continue to use digital gatekeepers that screen out millions of capable individuals? Joe Fuller joins his Managing the Future of Work co-chair and podcast co-host, Bill Kerr, to share insights from the project’s research collaboration with Accenture on the “hidden worker” problem.
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.