人工智能知识创造研究:总体框架与未来展望  

Research on Artificial Intelligence-Driven Knowledge Creation:An Integrative Framework and Future Insights

作　　者：胡保亮[1] 吴娟娟 张素平[1] HU BaoLiang;WU Juanjuan;ZHANG Suping(School of Management,Hangzhou Dianzi University,Hangzhou Zhejiang 310018,China)

机构地区：[1]杭州电子科技大学管理学院,浙江杭州310018

出　　处：《杭州电子科技大学学报（社会科学版）》2024年第5期26-39,共14页Journal of Hangzhou Dianzi University：Social Sciences

基　　金：国家社会科学基金重点项目(23AGL009);浙江省自然科学基金项目(LY24G020005)。

摘　　要：人工智能已经成为组织知识创造的新主体。人工智能知识创造研究受到越来越多的关注,但这个领域仍缺乏一个明确的总体研究框架。此外,学者们对于现有研究的不足以及未来研究方向亦不甚明晰。基于此,文章首先采用文献计量法对该领域研究主题进行了可视化计量分析。接着,依据“输入-过程-输出”框架构建了人工智能知识创造的整合性研究框架。最后,从人工智能知识创造的过程、前因与结果方面展望与这个主题相关的未来研究方向。文章可以为后续开展人工智能知识创造的相关研究提供基础和参考。Artificial intelligence(AI)has emerged as a new agent in the realm of organizational knowledge creation.Despite the growing interest in AI-driven knowledge creation research,the field still lacks a coherent and comprehensive framework to guide this field.Additionally,scholars have a limited understanding of the shortcomings of existing research and future research directions.To address this gap,the present paper initiates with a bibliometric analysis that visually maps the research themes within this domain.Building upon this foundation,we propose an integrative framework for AI-driven knowledge creation,grounded in the“input-process-output”paradigm.Concludingly,we offer forward-looking insights into potential research directions,focusing on the intricacies of the process,antecedents,and consequences of AI-driven knowledge creation.This paper serves as a foundational resource and provides valuable guidance for future scholars engaged in AI-driven knowledge creation research.

关 键 词：人工智能 知识 知识创造 

分 类 号：C936[经济管理—管理学]