文献类型：期刊文献

英文题名：Application of artificial intelligence in agile project management: a task-technology fit lens

作者：Huang, Zhiheng[1];Pang, Xingyi[1];Ning, Yan[1];Li, Yadi[2]

机构：[1]Nanjing Univ, Sch Management & Engn, Nanjing, Peoples R China;[2]East China Univ Sci & Technol, Sch Business, Shanghai, Peoples R China

年份：2026

外文期刊名：INTERNATIONAL JOURNAL OF MANAGING PROJECTS IN BUSINESS

收录：;WOS:【SSCI(收录号:WOS:001715422300001)】；

基金：The authors wish to thank editor Di Maddaloni, Francesco and three anonymous reviewers for very helpful suggestions.

语种：英文

外文关键词：Artificial intelligence; Agile project management; Task-technology fit; Systematic analysis; Bibliometric analysis

摘要：Purpose This study conducts a systematic literature review to examine the applications of artificial intelligence (AI) in agile project management (APM) (AI-in-APM). Guided by the task-technology fit (TTF) lens, it aims to move beyond descriptive summaries and critically analyze the congruence between AI technologies and the tasks of APM. Design/methodology/approach Mixed methods are employed in this study, which integrates bibliometric analysis of 361 papers on APM with systematic content analysis of 47 papers specifically focused on AI-in-APM. Findings The analysis maps the fit mechanisms of various AI techniques to core APM tasks and identifies their practical strengths. In addition, it reveals persistent fit gaps and socio-technical tensions (e.g. between algorithmic opacity and agile transparency) that define the future research directions of AI-in-APM. Originality/value This study provides an integrative APM framework through the TTF lens. It reveals fit strengths and critical misfits of AI-in-APM.