Research on Continuous Knowledge Sharing Behavior of Users Participating in Crowdsourcing Innovation
- 10.2991/978-2-38476-062-6_71How to use a DOI?
- crowdsourcing innovation; continuous knowledge sharing; social cognitive theory; least squares regression
Crowdsourcing innovation is a process in which an enterprise obtains external knowledge by allowing external users to brainstorm. The continuous knowledge sharing behavior of users on the crowdsourcing innovation platform is one of the key factors determining the success of the crowdsourcing innovation community. Therefore, this paper builds a research model based on social cognitive theory and takes Lego Creative Crowdsourcing Community as an example, using least square method to analyze the influencing factors of users’ continuous knowledge sharing behavior. The results show that the knowledge self-efficacy of users has a significant positive impact on the persistence and persistence of the continuous behavior factors, but has no significant impact on the activity; Results Expectation has a significant positive impact on users’ continuous knowledge sharing behavior; Among the environmental factors, interaction has a partial positive impact on users’ continuous knowledge sharing behavior, peer recognition has no positive impact on sustainability, and has a partial positive impact on activity and persistence.
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Cite this article
TY - CONF AU - Shuting Hao PY - 2023 DA - 2023/07/11 TI - Research on Continuous Knowledge Sharing Behavior of Users Participating in Crowdsourcing Innovation BT - Proceedings of the 2023 2nd International Conference on Social Sciences and Humanities and Arts (SSHA 2023) PB - Atlantis Press SP - 560 EP - 566 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-062-6_71 DO - 10.2991/978-2-38476-062-6_71 ID - Hao2023 ER -