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Open-Source Collaboration for Industrial Software Innovation Catch-Up: A Digital–Real Integration Approach

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Pubblicato in:Systems vol. 13, no. 9 (2025), p. 733-751
Autore principale: Chen, Xiaohong
Altri autori: Zhu Qigang, Long, Yuntao
Pubblicazione:
MDPI AG
Soggetti:
Samsung Electronics Co Ltd OpenAI
China
Software development
Collaboration
Industrial development
Public domain
Infrastructure
Artificial intelligence
Digital transformation
Open source software
Employees
Software industry
Business models
Digital economy
Virtual communities
Electronics industry
Coordination
Research & development > R&D
Digital technology
Innovations
Computer aided engineering > CAE
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Abstract:In the era of digital–real integration, open-source collaboration has become a strategic pathway for accelerating the innovation catch-up of China’s industrial software. This study employs an exploratory multi-case design, focusing on the China Automotive Operating System open-source project and the FastCAE open-source domestic CAE software integrated development platform to examine how open-source strategies shape collaborative mechanisms and innovation outcomes. The analysis reveals that firms adopt both formal (behavioral and outcome coordination) and informal (relationship and empowerment coordination) strategies, fostering high-level complementary collaboration in data, technology, institution, and human resources. These mechanisms significantly enhance R&D efficiency and quality, drive technological innovation, and create new market innovation, thereby improving collaborative performance. The study contributes to theory by linking open-source-driven digital–real integration with industrial software innovation catch-up and offers practical governance recommendations for strengthening China’s industrial software autonomy and ecosystem sustainability.
ISSN:2079-8954
DOI:10.3390/systems13090733
Fonte:Advanced Technologies & Aerospace Database