Augmenting organizational decision-making with deep learning algorithms: Principles, promises, and challenges
Abstract
The current expansion of theory and research on artificial intelligence in management and organization studies has revitalized the theory and research on decision-making in organizations. In particular, recent advances in deep learning (DL) algorithms promise benefits for decision-making within organizations, such as assisting employees with information processing, thereby augment their analytical capabilities and perhaps help their transition...
Paper Details
Title
Augmenting organizational decision-making with deep learning algorithms: Principles, promises, and challenges
Published Date
Feb 1, 2021
Journal
Volume
123
Pages
588 - 603
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