转化式学习
背景(考古学)
促进者
知识管理
新产品开发
产品创新
概念框架
计算机科学
领域(数学)
创新过程
过程(计算)
创新管理
管理科学
工程类
业务
社会学
在制品
政治学
营销
社会科学
古生物学
法学
纯数学
操作系统
数学
教育学
生物
作者
Alexander Brem,Ferran Giones,Marcel Werle
出处
期刊:IEEE Transactions on Engineering Management
[Institute of Electrical and Electronics Engineers]
日期:2021-10-27
卷期号:70 (2): 770-776
被引量:64
标识
DOI:10.1109/tem.2021.3109983
摘要
Artificial Intelligence (AI) is an emerging technological field with immense transformative potential. Within this context, we discuss the diverse ways AI is transforming innovation. We introduce a conceptual framework in which we argue AI plays the following two roles: originator and facilitator of innovation. Additionally, we discuss different applications and implications for innovation theory and practice using a reflection on the traditional innovation process and the front end of innovation perspective. For this, we use the perspectives of AI as technology push, AI as market pull, AI to advance steps in the innovation funnel as well as AI as a contributor to new product development. Finally, we discuss future directions for research in these fields.
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