From External Intervention to Endogenous Growth: A CAS-Based Analysis of Poverty Alleviation Mechanism with University Participation in Rural Collective Entrepreneurship
Rural collective entrepreneurship poverty alleviation within the university participation context is regarded as a “socio-technical-economic” hybrid system, which aims to generate long-term economic benefits and social well-being for rural collectives through the knowledge of universities and realize the effect of poverty alleviation. However, the existing research has largely overlooked the dynamic mechanisms involved, especially how rural collectives transition from a passive response to a proactive creation in the context of university participation. Thus, we employ Complex Adaptive Systems (CAS) theory’s “detectors-IF/THEN rules-effectors” framework through a longitudinal case study. These findings demonstrate that (1) detectors have transitioned from “specialized knowledge embedding” to “diverse knowledge embedding,” which enables broader information scanning; (2) IF/THEN rules undergo cognitive destructuring to cognitive restructuring, fostering adaptive knowledge orchestration strategies; and (3) effectors shift from exploiting vertically related opportunities to horizontally related opportunities. (4) Cross-phase evolution: The knowledge flow mechanism of “knowledge spillover-organizational learning-knowledge absorption” propels “detectors, IF/THEN rules, and effectors” from the passive response phase to the proactive creation phase. This study advances theoretical understanding of CAS and research on entrepreneurship for poverty alleviation.
Authors
- Yongzheng Wang (ORCID: https://orcid.org/0009-0007-8034-5998)
- Ziying Chen (ORCID: https://orcid.org/0009-0005-8931-6662)
- Haijing Yu
Institutions
- Liaoning University (CN)
- Jilin University (CN)
Publication Details
- Journal
- Systems
- Published
- 2025-11-24
- DOI
- https://doi.org/10.3390/systems13121061
- Primary Topic
- Entrepreneurship Studies and Influences
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Social Science Fund of China