English

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

Machine Learning 2020-11-06 v1

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 to more creative work.

Keywords

Cite

@article{arxiv.2011.02834,
  title  = {Augmenting Organizational Decision-Making with Deep Learning Algorithms: Principles, Promises, and Challenges},
  author = {Yash Raj Shrestha and Vaibhav Krishna and Georg von Krogh},
  journal= {arXiv preprint arXiv:2011.02834},
  year   = {2020}
}
R2 v1 2026-06-23T19:56:14.664Z