Adner R (2006). “Match your innovation strategy to your innovation ecosystem”. Harvard Business Review, 84(4): 98–107.
Allen GC (2019). Understanding China’s AI strategy: Clues to Chinese Strategic Thinking on Artificial Intelligence and National Security. Center for a New American Security.
Arenal A, Armuña C, Feijoo C, et al. (2020). “Innovation ecosystems theory revisited: The case of artificial intelligence in China”. Telecommunications Policy, 44(6): Art. 101960.
https://doi.org/10.1016/j.telpol.2020.101960
Barton D, Woetzel J, Seong J and Tian Q (2017). “Artificial intelligence: Implications for China [Discussion paper]”. 2017 China Development Forum, Beijing, China.
Beijing Municipal People’s Government (2021). Kejibu Guanyu Zhichi Beijing Jianshe Guojia Xinyidai Rengongzhineng Chuangxin Fazhan Shiyanqu de Han [Letter from the Ministry of Science and Technology on Supporting the Construction of a New-Generation National AI Innovation and Application Pilot Zone in Beijing]. Beijing Municipal People’s Government.
Benneworth P, Pinheiro R and Sánchez-Barrioluengo M (2016). “One size does not fit all! New perspectives on the university in the social knowledge economy”. Science and Public Policy, 43(6): 731–735.
https://doi.org/10.1093/scipol/scw018
Cai Y and Liu C (2015). “The roles of universities in fostering knowledge-intensive clusters in Chinese regional innovation systems”. Science and Public Policy, 42(1): 15–29.
https://doi.org/10.1093/scipol/scu018
Chinta R and Sussan F (2018). “A triple-helix ecosystem for entrepreneurship: A case review”. In: O’Connor A, Stam E, Sussan F and Audretsch DB (Eds.), Entrepreneurial Ecosystems: Place-Based Transformations and Transitions, pp. 67–80. Springer.
https://doi.org/10.1007/978-3-319-63531-6_4
Dal Zotto C (2003). “Absorptive capacity and knowledge transfer between venture capital firms and their portfolio companies [Presentation paper]”. DRUID Conference on Creating, Sharing, and Transferring Knowledge, Denmark, Copenhagen.
Department for Business, Energy & Industrial Strategy (2017). Industrial Strategy: Building a Britain Fit for the Future. UK Government.
Etzkowitz H and Leydesdorff L (1995). “The triple helix—University-industry-government relations: A laboratory for knowledge based economic development”. EASST Review, 14(1): 14–19.
European Parliament (2016). Civil Law Rules on Robotics. European Parliament.
Faccin K, Thomas E and Kretschmer C (2022). “University dynamic capabilities to boost innovation ecosystems: The case of a university alliance in Brazil”. In: Iakovleva T, Thomas E, Nordstrand Berg L, et al. (Eds.), Universities and Regional Engagement: From the Exceptional to the Everyday, pp. 41–57. Routledge.
https://doi.org/10.4324/9781003150299-4
Feng N, Fu C, Wei F, et al. (2019). “The key role of dynamic capabilities in the evolutionary process for a startup to develop into an innovation ecosystem leader: An indepth case study”. Journal of Engineering and Technology Management, 54: 81–96.
https://doi.org/10.1016/j.jengtecman.2019.11.002
Hall W and Presenti J (2017). Growing the Artificial Intelligence Industry in the UK. UK Department for Digital, Culture, Media & Sport and UK Department for Business, Energy & Industrial Strategy.
Heaton S, Siegel DS and Teece DJ (2019). “Universities and innovation ecosystems: A dynamic capabilities perspective”. Industrial and Corporate Change, 28(4): 921–939.
https://doi.org/10.1093/icc/dtz038
Kaiser C, Stocker A, Viscusi G, et al. (2021). “Conceptualising value creation in data-driven services: The case of vehicle data”. International Journal of Information Management, 59: Art. 102335.
https://doi.org/10.1016/j.ijinfomgt.2021.102335
Köhler T, Smith A and Bhakoo V (2022). “Templates in qualitative research methods: Origins, limitations, and new directions”. Organizational Research Methods, 25(2): 183–210.
https://doi.org/10.1177/10944281211060710
Li Z and Chu Y (2022). “Is hierarchical education investment synergistic? Evidence from China’s investment in general and advanced education”. Journal of the Knowledge Economy.
https://doi.org/10.1007/s13132-022-00960-9
Li R and Fang W (2019). “University-industry-government relations of the Ministry of Industry and Information Technology (MIIT) universities: The perspective of the mutual information”. PLOS ONE, 14(2): Art. e0211939.
https://doi.org/10.1371/journal.pone.0211939
Locke K, Feldman M and Golden-Biddle K (2022). “Coding practices and iterativity: Beyond templates for analyzing qualitative data”. Organizational Research Methods, 25(2): 262–284.
https://doi.org/10.1177/1094428120948600
Ministry of Education of the People’s Republic of China (2018). Jiaoyubu Guanyu Yinfa Gaodeng Xuexiao Rengongzhineng Chuangxin Xingdong Jihua [Notice of the Ministry of Education on the Issuance of the Action Plan for Artificial Intelligence Innovation in Higher Education]. Ministry of Education of the People’s Republic of China.
_____ (2021). 2021 International Forum on AI and Education [Press Release]. Ministry of Education of the People’s Republic of China.
National Science and Technology Council (2016). The National Artificial Intelligence Research and Development Strategic Plan. US Government.
Peteraf M, Di Stefano G and Verona G (2013). “The elephant in the room of dynamic capabilities: Bringing two diverging conversations together”. Strategic Management Journal, 34(12): 1389–1410.
https://doi.org/10.1002/smj.2078
Remote Applications in Challenging Environments (RACE) (n.d.). RAS 2020–Robotics and Autonomous Systems. RACE, UK Atomic Energy Authority.
Rindova VP and Kotha S (2001). “Continuous ‘morphing’: Competing through dynamic capabilities, form, and function”. Academy of Management Journal, 44(6): 1263–1280.
Robertson J, Caruana A and Ferreira C (2021). “Innovation performance: The effect of knowledge-based dynamic capabilities in cross-country innovation ecosystems”. International Business Review, Advance online publication, Art. 101866.
https://doi.org/10.1016/j.ibusrev.2021.101866
Rothwell R and Zegveld W (1985). Reindustrialization and Technology. ME Sharpe.
SPARC (2016). Robotics 2020—Multi-Annual Roadmap for Robotics in Europe. SPARC.
State Council of the People’s Republic of China (2017). Xinyidai Rengongzhineng Fazhan Guihua de Tongzhi [Notice of the New-Generation Artificial Intelligence Development Plan]. The State Council of the People’s Republic of China.
Strategic Council for AI Technology (2017). Artificial Intelligence Technology Strategy. AI Japan.
Teece DJ (2007). “Explicating dynamic capabilities: The nature and microfoundations of (sustainable) enterprise performance”. Strategic Management Journal, 28(13): 1319–1350.
https://doi.org/10.1002/smj.640
_____ (2018). “Profiting from innovation in the digital economy: Enabling technologies, standards, and licensing models in the wireless world”. Research Policy, 47(8): 1367–1387.
https://doi.org/10.1016/j.respol.2017.01.015
Wang P and Li F (2021). “Science, technology and innovation policy in Russia and China – Mapping and comparisons in objectives, instruments and implementation”. Technological Forecasting and Social Change, 162: 120386.
https://doi.org/10.1016/j.techfore.2020.120386
Warner KSR and Wäger M (2019). “Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal”. Long Range Planning, 52(3): 326–349.
https://doi.org/10.1016/j.lrp.2018.12.001
Weerawardena J, Mort GS, Liesch PW and Knight G (2007). “Conceptualizing accelerated internationalization in the born global firm: A dynamic capabilities perspective”. Journal of World Business, 42(3): 294–306.
https://doi.org/10.1016/j.jwb.2007.04.004
Xie X, Han Y, Anderson A and Ribeiro-Navarrete S (2022). “Digital platforms and SMEs’ business model innovation: Exploring the mediating mechanisms of capability reconfiguration”. International Journal of Information Management, 65: Art. 102513.
https://doi.org/10.1016/j.ijinfomgt.2022.102513
Yang C and Huang C (2022). “Quantitative mapping of the evolution of AI policy distribution, targets and focuses over three decades in China”. Technological Forecasting and Social Change, 174: Art. 121188.
https://doi.org/10.1016/j.techfore.2021.121188
Yao Y, Ma L, Che X and Dou H (2021). “Simulation study of urban expansion under ecological constraint—Taking Yuzhong County, China as an example”. Urban Forestry & Urban Greening, 57: Art. 126933.
https://doi.org/10.1016/j.ufug.2020.126933
Yue X, Mu K and Liu L (2020). “Selection of policy instruments on integrated care in China: Based on documents content analysis”. International Journal of Environmental Research and Public Health, 17(7): Art. 2327.
https://doi.org/10.3390/ijerph17072327
Zhang H and Ding Y (2014). “Research on the relationship of institutional innovation, organizational learning and synergistic effect: An empirical study of Chineses university spin-offs”. Journal of Industrial Engineering and Management, 7(3): 645–659.
https://doi.org/10.3926/jiem.950
Zhang D, Pee LG, Pan SL and Cui L (2022). “Big data analytics, resource orchestration, and digital sustainability: A case study of smart city development”. Government Information Quarterly, 39(1): Art. 101626.
https://doi.org/10.1016/j.giq.2021.101626
Zhu Q, Bai C and Sarkis J (2022). “Blockchain technology and supply chains: The paradox of the atheoretical research discourse”. Transportation Research Part E: Logistics and Transportation Review, 164: Art. 102824.
https://doi.org/10.1016/j.tre.2022.102824