Analysis of collaborative innovation behaviour and its influencing factors in scientific research crowdsourcing platforms: based on the fsQCA method
Introduction. This study aims to explore the influencing factors and their combined effects on the benefits of knowledge innovation, and to explore the impact of factors on the effects of knowledge innovation from a configuration perspective. Method. This study constructed a knowledge innovation...
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| Format: | Article |
| Language: | English |
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University of Borås
2024-06-01
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| Series: | Information Research: An International Electronic Journal |
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| Online Access: | https://informationr.net/infres/article/view/823 |
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| author | Jiajun Cao Yuefen Wang Xin Xie Yuanzhi Lv Peng Chen |
| author_facet | Jiajun Cao Yuefen Wang Xin Xie Yuanzhi Lv Peng Chen |
| author_sort | Jiajun Cao |
| collection | DOAJ |
| description | Introduction. This study aims to explore the influencing factors and their combined effects on the benefits of knowledge innovation, and to explore the impact of factors on the effects of knowledge innovation from a configuration perspective.
Method. This study constructed a knowledge innovation ecosystem for scientific research crowdsourcing platforms, as well as a configuration model that affects the knowledge innovation benefits of scientific research crowdsourcing. Based on this, we collected data through a survey questionnaire. Then, we used the method of fuzzy set qualitative comparative analysis to identify the configuration effects of influencing factors and analyse the core configuration.
Analysis. Five core configurations were constructed, which are shown as internal and external linkage based on environmental dynamics, individual and environment interlocking based on team maintenance, individual initiative to supplement weaknesses, external drive driven, and individual led based on team and platform support.
Results. The configurations have different focuses, but all highlight the core conditions for individual innovation investment as the configuration.
Conclusion. The results indicate that individual driving factors are worth considering. Meanwhile, by referring to the core components of the five configurations, researchers can combine various factors to better form knowledge innovation. |
| format | Article |
| id | doaj-art-5ef5d193251c484aa74aee6c21c32d66 |
| institution | Kabale University |
| issn | 1368-1613 |
| language | English |
| publishDate | 2024-06-01 |
| publisher | University of Borås |
| record_format | Article |
| series | Information Research: An International Electronic Journal |
| spelling | doaj-art-5ef5d193251c484aa74aee6c21c32d662025-02-03T10:10:34ZengUniversity of BoråsInformation Research: An International Electronic Journal1368-16132024-06-0129220622910.47989/ir292823820Analysis of collaborative innovation behaviour and its influencing factors in scientific research crowdsourcing platforms: based on the fsQCA methodJiajun Cao0Yuefen Wang1Xin Xie2Yuanzhi Lv3Peng Chen4Shanghai Normal UniversityTianjin Normal UniversityShanghai Normal UniversityShanghai Normal UniversityShanghai Normal UniversityIntroduction. This study aims to explore the influencing factors and their combined effects on the benefits of knowledge innovation, and to explore the impact of factors on the effects of knowledge innovation from a configuration perspective. Method. This study constructed a knowledge innovation ecosystem for scientific research crowdsourcing platforms, as well as a configuration model that affects the knowledge innovation benefits of scientific research crowdsourcing. Based on this, we collected data through a survey questionnaire. Then, we used the method of fuzzy set qualitative comparative analysis to identify the configuration effects of influencing factors and analyse the core configuration. Analysis. Five core configurations were constructed, which are shown as internal and external linkage based on environmental dynamics, individual and environment interlocking based on team maintenance, individual initiative to supplement weaknesses, external drive driven, and individual led based on team and platform support. Results. The configurations have different focuses, but all highlight the core conditions for individual innovation investment as the configuration. Conclusion. The results indicate that individual driving factors are worth considering. Meanwhile, by referring to the core components of the five configurations, researchers can combine various factors to better form knowledge innovation.https://informationr.net/infres/article/view/823knowledge innovation behaviorinfluencing factorsresearch crowdsourcing platformsfsqca |
| spellingShingle | Jiajun Cao Yuefen Wang Xin Xie Yuanzhi Lv Peng Chen Analysis of collaborative innovation behaviour and its influencing factors in scientific research crowdsourcing platforms: based on the fsQCA method Information Research: An International Electronic Journal knowledge innovation behavior influencing factors research crowdsourcing platforms fsqca |
| title | Analysis of collaborative innovation behaviour and its influencing factors in scientific research crowdsourcing platforms: based on the fsQCA method |
| title_full | Analysis of collaborative innovation behaviour and its influencing factors in scientific research crowdsourcing platforms: based on the fsQCA method |
| title_fullStr | Analysis of collaborative innovation behaviour and its influencing factors in scientific research crowdsourcing platforms: based on the fsQCA method |
| title_full_unstemmed | Analysis of collaborative innovation behaviour and its influencing factors in scientific research crowdsourcing platforms: based on the fsQCA method |
| title_short | Analysis of collaborative innovation behaviour and its influencing factors in scientific research crowdsourcing platforms: based on the fsQCA method |
| title_sort | analysis of collaborative innovation behaviour and its influencing factors in scientific research crowdsourcing platforms based on the fsqca method |
| topic | knowledge innovation behavior influencing factors research crowdsourcing platforms fsqca |
| url | https://informationr.net/infres/article/view/823 |
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