斯科普斯
杠杆(统计)
现存分类群
书目耦合
软件部署
知识管理
竞争情报
领域(数学)
数据科学
科学网
工作(物理)
交叉口(航空)
商业智能
系统回顾
计算机科学
社会学
管理科学
人工智能
政治学
经济
万维网
工程类
航空航天工程
机械工程
数学
法学
纯数学
操作系统
进化生物学
引用
梅德林
生物
作者
Marcello M. Mariani,Isa Machado,Vittoria Magrelli,Yogesh K. Dwivedi
出处
期刊:Technovation
[Elsevier]
日期:2023-04-01
卷期号:122: 102623-102623
被引量:117
标识
DOI:10.1016/j.technovation.2022.102623
摘要
Artificial Intelligence (AI) is increasingly adopted by organizations to innovate, and this is ever more reflected in scholarly work. To illustrate, assess and map research at the intersection of AI and innovation, we performed a Systematic Literature Review (SLR) of published work indexed in the Clarivate Web of Science (WOS) and Elsevier Scopus databases (the final sample includes 1448 articles). A bibliometric analysis was deployed to map the focal field in terms of dominant topics and their evolution over time. By deploying keyword co-occurrences, and bibliographic coupling techniques, we generate insights on the literature at the intersection of AI and innovation research. We leverage the SLR findings to provide an updated synopsis of extant scientific work on the focal research area and to develop an interpretive framework which sheds light on the drivers and outcomes of AI adoption for innovation. We identify economic, technological, and social factors of AI adoption in firms willing to innovate. We also uncover firms' economic, competitive and organizational, and innovation factors as key outcomes of AI deployment. We conclude this paper by developing an agenda for future research.
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