Earticle

초록

영어

In the era beyond the Fourth Industrial Revolution, one of the important issues in future society is the collaboration between humans and artificial intelligence (AI). This study aims to theoretically propose the structural relationship between exploration and exploitation, the transactive memory system(TMS), and team performance using generative AI from the perspective of learning behavior, at a time when the value of AI is being recognized as important. In addition, this study seeks to empirically verify the influence relationship among exploration and exploitation, the transactive memory system, and team performance. Based on the theoretical proposal, empirical research will be conducted to identify the impact of learning behavior using generative AI on team performance, and the role of transactive memory systems in the process. Through this, it is expected to contribute to smoother collaboration between humans and AI as artificial intelligence technology continues to develop in the future.

목차

Abstract
1. Introduction
2. Theoretical development and hypotheses
2.1 탐색(Exploration)과 활용(Exploitation)
2.2 교류기억체계(TMS)
2.3 Research model
3. Research methodology
3.1 Instrument construction
3.2 Data collection
3.3 The measurement model
3.4 Hypothesis testing
4. Discussion and conclusions
References

키워드

저자

• 강성배 [ 동국대학교 ]
• 오창규 [ 경남대학교 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국경영정보학회 정기 학술대회 [KMIS Conference]

• 간기

  반년간

• 수록기간

  1990~2025

• 십진분류

  KDC 325 DDC 658