Earticle

초록

영어

This study examines human–AI delegation from a configurational perspective. While prior research has conceptualized delegation through isolated factors, empirical evidence remains limited. This study investigates how combinations of AI design features and user characteristics shape delegation decisions. A scenario-based experiment is conducted and analyzed using fsQCA. Results reveal multiple configurations (D1–D7), with agentic level as a core condition. Two delegation regimes are identified: complementary structures among younger users and substitution-based structures among older users. These findings demonstrate that delegation is configurational rather than linear.

목차

Abstract
Introduction
Theoretical Foundation and Research Model
Human–AI Delegation as a Foundational IS Lens
From Delegation Mechanisms to Design Instantiations
The Role of User Factors in Delegation
A Configurational Perspective on Human–AI Delegation
Research Model: A Configurational Perspective on Human–AI Delegation
Research Method
Research Design
Experimental Design
Data Collection and Sample
Measurement Development
Manipulation Check
Data Analysis
Configurational Analysis Results
Necessary Condition Test
Configurational Recipes for Human-AI Delegation
Complementary Delegation among Younger Users
Substitution-Based Delegation among Older Users
Conclusion
References

키워드

저자

• Taejin Kim [ Department of Business Intelligence, Business School, Ajou University, Suwon, Korea ]
• One-ki Daniel Lee [ Information Systems, Virginia Commonwealth University, Richmond, Virginia, United States0pt, italic ]
• Juyoung Kang [ Department of Business Intelligence, School of Business, Ajou University, Suwon, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국경영정보학회 정기 학술대회 [KMIS Conference]

• 간기

  반년간

• 수록기간

  1990~2026

• 십진분류

  KDC 325 DDC 658