COGNITIVE ARBITRAGE: THE OUTSOURCING OF INTELLIGENCE

Artificial intelligence (AI) is disrupting industry and potentially threatening to replace humans at work. In this article, we offer a strategy to ensure that executive decision-makers are given the tools to combine the best of human skills with AI, both preserving human dignity and enhancing organizational achievement. We propose a decision-making framework, the Arbitrage-Enhancement Decision Grid (AEDG), that enables organization leaders to determine the optimum human and intelligent machine collaboration to improve workforce performance. The framework recognizes the inevitable adoption of technology innovation, in conjunction with an organization’s need to balance human performance and competitive objectives. The authors then advance an actionable roadmap for developing human workforce and intelligent machine competencies and skills, the Human Resource-Artificial Intelligence Collaboration (HRAIC) framework that complements the decision-making outcomes of the AEDG.

Authors

Publication Details

Journal
Performance Improvement Journal
Published
2024-12-01
DOI
https://doi.org/10.56811/pfi-24-0015
Primary Topic
Outsourcing and Supply Chain Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

COGNITIVE ARBITRAGE: THE OUTSOURCING OF INTELLIGENCE

James P. Eicher, William J. Mea
Performance Improvement Journal
Outsourcing and Supply Chain Management
article

COGNITIVE ARBITRAGE: THE OUTSOURCING OF INTELLIGENCE

James P. Eicher, William J. Mea
article en

Abstract

Artificial intelligence (AI) is disrupting industry and potentially threatening to replace humans at work. In this article, we offer a strategy to ensure that executive decision-makers are given the tools to combine the best of human skills with AI, both preserving human dignity and enhancing organizational achievement. We propose a decision-making framework, the Arbitrage-Enhancement Decision Grid (AEDG), that enables organization leaders to determine the optimum human and intelligent machine collaboration to improve workforce performance. The framework recognizes the inevitable adoption of technology innovation, in conjunction with an organization’s need to balance human performance and competitive objectives. The authors then advance an actionable roadmap for developing human workforce and intelligent machine competencies and skills, the Human Resource-Artificial Intelligence Collaboration (HRAIC) framework that complements the decision-making outcomes of the AEDG.

Performance Improvement JournalVol. 63(2)
Openalex Percentile: Top 65%
Outsourcing and Supply Chain Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.