Proceedings of the 2023 2nd International Conference on Social Sciences and Humanities and Arts (SSHA 2023)

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Research on Continuous Knowledge Sharing Behavior of Users Participating in Crowdsourcing Innovation

Authors
Shuting Hao1, *
1School of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, China
*Corresponding author. Email: hst980208@163.com
Corresponding Author
Shuting Hao
Available Online 11 July 2023.
DOI
10.2991/978-2-38476-062-6_71How to use a DOI?
Keywords
crowdsourcing innovation; continuous knowledge sharing; social cognitive theory; least squares regression
Abstract

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.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 2nd International Conference on Social Sciences and Humanities and Arts (SSHA 2023)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
11 July 2023
ISBN
10.2991/978-2-38476-062-6_71
ISSN
2352-5398
DOI
10.2991/978-2-38476-062-6_71How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
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  -