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

Yash Raj Shrestha, Vaibhav Krishna, Georg von Krogh
2020 arXiv   pre-print
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 to more creative work.
arXiv:2011.02834v1 fatcat:m3erlvb22bfblehze2edsbshza