Digital innovation and the effects of artificial intelligence on firms’ research and development – Automation or augmentation, exploration or exploitation?

自动化 托换 人力资源 政府(语言学) 知识管理 计算机科学 新产品开发 业务 数据科学 人工智能 营销 工程类 管理 经济 机械工程 哲学 土木工程 语言学
作者
Prince Chacko Johnson,Christofer Laurell,Märt Ots,Christian Sandström
出处
期刊:Technological Forecasting and Social Change [Elsevier BV]
卷期号:179: 121636-121636 被引量:268
标识
DOI:10.1016/j.techfore.2022.121636
摘要

Digitalization has altered many assumptions underpinning research on innovation management. At the early innings of exploring how digital innovation management stands out, there is a need for further studies in this area. Previous research on how firms use artificial intelligence has distinguished between automation and augmentation of human activities. In this paper, we explore how firms implement artificial intelligence within research and development. Utilizing an international news database spanning 956 articles from 122 newspapers published in 2020, we find that artificial intelligence is primarily adopted to augment human activities (55%) within research and development, rather than to automate matters (11%). We observe differences across sectors where automation is more common in government, information and communication technology (ICT), and technology and software. Our systematic coding shows that artificial intelligence is primarily adopted for exploration research and development (64%), rather than exploitation (5%). Based on these findings, we conclude that research and development from artificial intelligence primarily focuses on novel markets and areas of operations, rather than enhancing existing product markets and activities. Moreover, it augments human labor rather than replaces it; hence, job losses related to artificial intelligence do not seem to be taking place within research and development.
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