AbstractIn today's enterprises, forecasts of time series are a crucial part of the planning process. Human experts often create these forecasts -for example, in cash flow or sales forecasting. The human participation can lead to forecasts being influenced by cognitive biases like anchoring and adjustment. This study aims to detect anchoring and adjustment effects in forecasting processes based on the newly developed Bandwidthmodel. We show that the Bandwidthmodel has higher explanatory power with regard to th…
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