Effect of Knowledge Sharing on Participant Performance in Artificial Intelligence Contests: A Quasi-experiment-Reference-Cited by-同舟云学术

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Effect of Knowledge Sharing on Participant Performance in Artificial Intelligence Contests: A Quasi-experiment

Published:2024-08-04 Issue: Volume:32 Page:1-10
ISSN:
Container-title:2024 Portland International Conference on Management of Engineering and Technology (PICMET)
language:
Short-container-title:

Author:

Wang Lingling¹,Yang Meijian²,Li Sen³

Affiliation:

1. School of Economics and Management, China University of Petroleum (East China),Qingdao,China

2. School of Economics and Management, Anhui Polytechnic University,Wuhu,China

3. School of Economics and Management, Shandong Youth University of Political Science,Jinan,China

Funder

Ministry of Education

National Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10652597/10652602/10653206.pdf?arnumber=10653206

Reference18 articles.

1. Can AI Help in Ideation? A Theory-Based Model for Idea Screening in Crowdsourcing Contests

2. The Ethical, Societal, and Global Implications of Crowdsourcing Research

3. Effect of Knowledge-Sharing Trajectories on Innovative Outcomes in Temporary Online Crowds

4. The Remixing Dilemma

5. Toward a Theory of Remixing in Online Innovation Communities

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