程式化事实
新兴技术
集合(抽象数据类型)
共同进化
业务
知识管理
生产力
产业组织
计算机科学
作者
Tommaso Ciarli,Martin Kenney,Silvia Massini,Lucia Piscitello
出处
期刊:Research Policy
[Elsevier]
日期:2021-09-01
卷期号:50 (7): 104289-104289
被引量:14
标识
DOI:10.1016/j.respol.2021.104289
摘要
In order to better understand the complex and dialectical relationships between digital technologies, innovation, and skills, it is necessary to improve our understanding of the coevolution between the trajectories of connected digital technologies, firm innovation routines, and skills formation. This is critical as organizations recombine and adapt digital technologies; they require new skills to innovate, learn, and adapt to evolving digital technologies, while digital technologies change the codification of knowledge for productive and innovative activities. The coevolution between digital technologies, innovation, and skills also requires, and is driven by, a reorganization of productive and innovation processes, both within and between firms. We observe this in all economic sectors, from agriculture to services. Based on evidence on past technologies and the innovation literature, we suggest that we might require a new set of stylized facts to better map the main future trajectories of digital technologies, their adoption, use, and recombination in organizations, to improve our understanding of their impact on productivity, employment and inequality.
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