创业
领域(数学)
相关性(法律)
过程(计算)
知识管理
管理科学
数据科学
计算机科学
社会学
业务
政治学
经济
操作系统
纯数学
法学
数学
财务
作者
Moren Lévesque,Martin Obschonka,Satish Nambisan
标识
DOI:10.1177/1042258720927369
摘要
It is time for the entrepreneurship field to come to terms with leading-edge artificial intelligence (AI). AI holds great promise to transform entrepreneurship into a more relevant and impactful field, but it must overcome conflicts between the AI-driven research approach and that of the traditional, theory-based research process. We explore these opportunities and challenges and suggest concrete approaches that entrepreneurship researchers can use to harness the power of AI with rigor and enhance research relevance. We conclude that incorporating the power of AI in entrepreneurship research and managing the associated risks offer a new and “grand challenge” for the field.
科研通智能强力驱动
Strongly Powered by AbleSci AI