 The impact of artificial intelligence on users' entrepreneurial activitiesXueling Li, Xiaoyan Zhang, Yuan Liu, Yuanying Mi and Yong Chen Systems Research and Behavioral Science, 2022, vol. 39, issue 3, 597-608 Abstract: This study explores the impact of artificial intelligence (AI) on user entrepreneurs, driving factors and user entrepreneurship process combined with its characteristics and development trends. Moreover, this study sorts out the logic of user entrepreneurship change in the AI era. This study achieves four findings. First, AI contributes to entrepreneurs by collecting large user data and intelligently analysing them to obtain optimal entrepreneurial judgements and decisions. Second, entrepreneurs may use AI systems to understand users' potential needs and get user demand information (e.g. more accurate and more major shortcomings of the products). Third, AI assists entrepreneurs in obtaining robust data of product users, including leading and ordinary users, for a wider audience. Fourth, AI replaces the original intergenerational product replacement model with intermittent and periodic characteristics for entrepreneurial activities and reforms the three‐stage user entrepreneurial process: product element deconstruction, product verification matching and innovative product commercialization. This study provides a feasible direction for the key research issues. Date: 2022 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:bla:srbeha:v:39:y:2022:i:3:p:597-608 Ordering information: This journal article can be ordered from Access Statistics for this article More articles in Systems Research and Behavioral Science from Wiley Blackwell |
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