鉴定(生物学)
价值(数学)
计算机科学
知识管理
钥匙(锁)
数据科学
管理科学
系统回顾
社会学
信息系统
心理学
工程伦理学
工程类
政治学
梅德林
植物
计算机安全
机器学习
法学
生物
电气工程
作者
Christopher Collins,Denis Dennehy,Kieran Conboy,Patrick Mikalef
标识
DOI:10.1016/j.ijinfomgt.2021.102383
摘要
AI has received increased attention from the information systems (IS) research community in recent years. There is, however, a growing concern that research on AI could experience a lack of cumulative building of knowledge, which has overshadowed IS research previously. This study addresses this concern, by conducting a systematic literature review of AI research in IS between 2005 and 2020. The search strategy resulted in 1877 studies, of which 98 were identified as primary studies and a synthesise of key themes that are pertinent to this study is presented. In doing so, this study makes important contributions, namely (i) an identification of the current reported business value and contributions of AI, (ii) research and practical implications on the use of AI and (iii) opportunities for future AI research in the form of a research agenda.
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