This book highlights research on the behavioral biases affecting judgmental accuracy in judgmental forecasting and showcases the state-of-the-art in judgment-based predictive analytics. In recent years, technological advancements have made it possible to use predictive analytics to exploit highly complex (big) data resources. Consequently, modern forecasting methodologies are based on sophisticated algorithms from the domain of machine learning and deep learning. However, research shows that in the majority of industry contexts, human judgment remains an indispensable component of the managerial forecasting process. This book discusses ways in which decision-makers can address human behavioral issues in judgmental forecasting. The book begins by introducing readers to the notion of human-machine interactions. This includes a look at the necessity of managerial judgment in situations where organizations commonly have algorithmic decision support models at their disposal.
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Judgment in Predictive Analytics
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| Weight | 1 kg |
|---|---|
| Book Author | Seifert |
| Edition | 1st |
| Format | Hardback |
| ISBN | 9783031300844 |
| Language | English |
| Pages | 332 |
| Publication Year | |
| Publisher | |
| Sell by | sarasbooksonline.com |
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