Governance Framework for Digital R&D Activities - Practical Experience from China
- DOI
- 10.2991/978-94-6463-102-9_40How to use a DOI?
- Keywords
- Digital R&D; China; Governance framework
- Abstract
Digital technology is subverting the traditional corporate R&D paradigm, and China has embarked on a characteristic path in exploring digital R&D. Firstly, we sort out the connotation of digital R&D and digital R&D system, and then focus on the fields of new energy vehicles, banking sector, rare and precious metal material genetic engineering, we summarize the governance experience of China's R&D digital transformation from the aspects of organization reshaping, data governance, data empowerment, efficiency evaluation, and multi-agent collaboration, a governance framework is proposed based on these. Finally, management inspirations are given from four aspects: user value-driven agile organization reengineering, system support of data governance, digital empowerment of R&D management activities, and giving play to the leading role of the government. The research conclusions are expected to provide references for digital R&D activity managers and policymakers.
- 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
TY - CONF AU - Shuxin Zhu AU - Chenglei Xu AU - Yonghe Sun PY - 2022 DA - 2022/12/29 TI - Governance Framework for Digital R&D Activities - Practical Experience from China BT - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022) PB - Atlantis Press SP - 374 EP - 382 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-102-9_40 DO - 10.2991/978-94-6463-102-9_40 ID - Zhu2022 ER -