Augmenting Organizational Decision-Making with Deep Learning Algorithms: Principles, Promises, and Challenges
November 02, 2020 ยท Declared Dead ยท ๐ Journal of business research
"No code URL or promise found in abstract"
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Authors
Yash Raj Shrestha, Vaibhav Krishna, Georg von Krogh
arXiv ID
2011.02834
Category
cs.LG: Machine Learning
Citations
214
Venue
Journal of business research
Last Checked
4 months ago
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.
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