Mentoring for effective human-AI collaboration: an integrated theoretical framework.
學年 113
學期 2
出版（發表）日期 2025-05-14
作品名稱 Mentoring for effective human-AI collaboration: an integrated theoretical framework.
作品名稱（其他語言）
著者 Chieh-Peng Lin; Pei-Chun Chen
單位
出版者
著錄名稱、卷期、頁數 Total Quality Management & Business Excellence 36(9–10), p. 1062–1076.
摘要 his study proposes a theoretical framework for fostering effective human-AI collaboration in the AI era by integrating the foundational principles of Affordance Actualization Theory (AAT), Event System Theory (EST), transformational theory, and transactional theory. These theories complement each other by linking the affordance of human-AI collaboration to both positive and negative reactions to AI's influence, ultimately leading to outcomes at individual, team, and organizational levels. Within this framework, the roles of transformational, transactional, and strategic mentorship as interventions in the framework are justified. By bringing personnel development perspectives into the domain of human-AI collaboration, this study concludes by discussing key implications and outlining a future research agenda for personnel training and education.
關鍵字 Organizational learning; innovative performance; perceived job insecurity; affordance; leadership
語言 en
ISSN
期刊性質 國外
收錄於 SSCI
產學合作
通訊作者 Lin, C. P.
審稿制度 否
國別 TWN
公開徵稿
出版型式 ,電子版
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/128725 )