Author: Shrestha, Yash Raj; Krishna, Vaibhav; Krogh, Georg von
Title: Augmenting Organizational Decision-Making with Deep Learning Algorithms: Principles, Promises, and Challenges Cord-id: tk1ntwx5 Document date: 2020_11_2
ID: tk1ntwx5
Snippet: 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.
Document: 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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