Augmenting Organizational Decision-Making with Deep Learning Algorithms: Principles, Promises, and Challenges

The current expansion of theory and research on artificial intelligence in\nmanagement and organization studies has revitalized the theory and research on\ndecision-making in organizations. In particular, recent advances in deep\nlearning (DL) algorithms promise benefits for decision-making within\norganizations, such as assisting employees with information processing, thereby\naugment their analytical capabilities and perhaps help their transition to more\ncreative work.\n