The impact of artificial intelligence on users' entrepreneurial activities

被引:9
作者
Li, Xueling [1 ]
Zhang, Xiaoyan [1 ]
Liu, Yuan [1 ]
Mi, Yuanying [1 ]
Chen, Yong [2 ]
机构
[1] Jilin Univ, Sch Business & Management, 2699 Qianjin St, Changchun 130022, Peoples R China
[2] Texas A&M Int Univ, Sch Business, Laredo, TX USA
关键词
artificial intelligence; entrepreneurial activities; user entrepreneurship; BIG DATA; DATA ANALYTICS; INNOVATION; FUTURE; PRODUCTS; IDEAS;
D O I
10.1002/sres.2854
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
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.
引用
收藏
页码:597 / 608
页数:12
相关论文
共 74 条
[1]   Bridging Knowledge Resources: The Location Choices of Spinouts [J].
Adams, Pamela ;
Fontana, Roberto ;
Malerba, Franco .
STRATEGIC ENTREPRENEURSHIP JOURNAL, 2017, 11 (02) :93-121
[2]   The magnitude of innovation by demand in a sectoral system: The role of industrial users in semiconductors [J].
Adams, Pamela ;
Fontana, Roberto ;
Malerba, Franco .
RESEARCH POLICY, 2013, 42 (01) :1-14
[3]   Knowledge sources of entrepreneurship: Firm formation by academic, user and employee innovators [J].
Agarwal, Rajshree ;
Shah, Sonali K. .
RESEARCH POLICY, 2014, 43 (07) :1109-1133
[4]  
Agrawal A, 2017, MIT SLOAN MANAGE REV, V58, P23
[5]  
Duc AN, 2016, LECT NOTES BUS INF P, V251, P118, DOI 10.1007/978-3-319-33515-5_10
[6]   Machine Learning Methods for Demand Estimation [J].
Bajari, Patrick ;
Nekipelov, Denis ;
Ryan, Stephen P. ;
Yang, Miaoyu .
AMERICAN ECONOMIC REVIEW, 2015, 105 (05) :481-485
[7]   How user innovations become commercial products: A theoretical investigation and case study [J].
Baldwin, Carliss ;
Hienerth, Christoph ;
von Hippel, Eric .
RESEARCH POLICY, 2006, 35 (09) :1291-1313
[8]   IMPLEMENTING ENTREPRENEURIAL IDEAS - THE CASE FOR INTENTION [J].
BIRD, B .
ACADEMY OF MANAGEMENT REVIEW, 1988, 13 (03) :442-453
[9]   Creativity and artificial intelligence [J].
Boden, MA .
ARTIFICIAL INTELLIGENCE, 1998, 103 (1-2) :347-356
[10]   Users as Innovators: A Review, Critique, and Future Research Directions [J].
Bogers, Marcel ;
Afuah, Allan ;
Bastian, Bettina .
JOURNAL OF MANAGEMENT, 2010, 36 (04) :857-875