Authors: Tamen Jadad-Garcia, Alejandro R. Jadad

Published on: February 07, 2024

Impact Score: 8.45

Arxiv code: Arxiv:2402.05142

Summary

• What is new: Introduces Computational Management as a bridge between management science and computational thinking for AI integration.
• Why this is important: Organizations struggle with successfully integrating AI into existing operations.
• What the research proposes: A systematic approach called Computational Management with three step-by-step procedures for implementing AI within workflows.
• Results: Provides a roadmap and toolkit for enhancing organizational efficiency and innovation through AI.

Technical Details

Technological frameworks used: Computational Management

Models used: LLMs (Large Language Models)

Data used: Task specifications and the Task Automation Index

Potential Impact

Management consulting, HR technology, and AI deployment service markets.

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