General

Tara Qian Sun

Associate Professor, PhD supervisor

School of Public Policy and Management, University of Chinese Academy of Sciences

Email: sunqian@ucas.ac.cn

Address: Room 104, Build 7, Street 80, Zhongguancun East, Haidian District, Beijing, China 100190

Research Areas

  • AI in Healthcare

  • IT in Public sector

  • Digital Innovation

  • Innovation and Technology Policy

  • Innovation Management

Education

03.2016-12.2019

Double PhD degree, Department of Digitalization, Copenhagen Business School, Copenhagen, Denmark

Degree on Digitalization and Management; Supervisor: Professor MSO Rony Medaglia

Double PhD degree, Sino-Danish College, University of Chinese Academy of Sciences, Beijing, China

Degree on Innovation Management; Supervisor: Professor Rongping Mu(穆荣平)

09.2013-10.2015/03.2016

Double degree on Master of Innovation Management

Aalborg University, Aalborg, Denmark

University of Chinese Academy of Sciences, Beijing, China

08.2011-06.2012

Exchange student, Illinois Institute of Technology, Chicago, IL, U.S.A

09.2009-06.2013

Bachelor of Business Administration, Central South University (ranked amongst top 15 universities in China), Changsha City, China


Work Experience

11.2021-03.2022 External researcher, Department of Digitalization, Copenhagen Business School, Copenhagen, Denmark

11.2019- 10.2021 Postdoc of Blockchain project, Department of Digitalization, Copenhagen Business School, Copenhagen, Denmark


Publications

  1. Sun, T. Q., & Medaglia, R. (2019). Mapping the Challenges of Artificial Intelligence in the Public Sector: Evidence from Public Healthcare[J]. Government Information Quarterly. 36(2), 368-383.
  2. Qu, Guannan, Wang, Luyao, Chen, Jin, & Tara Qian Sun. (2024). How to transform “social value” into meaningful products? ——A multiple-case study of leading innovative enterprises. Technology in Society, 77, 102531. 
  3. Chen, K., Ren, Z., Mu, S., Sun, T. Q., & Mu, R. (2020). Integrating the Delphi survey into scenario planning for China's renewable energy development strategy towards 2030 [J]. Technological Forecasting and Social Change, 158, 120-157.
  4. Sun, T. Q. (2021). Adopting Artificial Intelligence in Public Healthcare: The Effect of Social Power and Learning Algorithms[J]. International Journal of Environmental Research and Public Health, 18. 12682.
  5. Irwin A., Sun, T. Q. (2021). Transformative Innovation Policy: a case-study from China, Innovation and Development Policy, 3(5), 23-39.
  6. Chen, K., Ze, F., Sun, T. Q. (2020). Big data of Innovation, Innovation Governance Efficacy and Digital Transformation, R&D Management, 32(6), 1-12. (in Chinese)
  7. Jin J., Yu J., Sun, T. Q., Gao, YC. (2020). Modular Co-evolution of Digital Infrastructure Innovation: A Case Study of China’s Public Health Emergency Governance [J]. Studies in Science of Science, online published. (In Chinese)
  8. Wang, C., Jiang, P., Sun, T. Q. (2017). A Study of the Impact of Financial Development Level and Industry Structure Optimization on the Regional Innovation Performance [J]. J. Xi’an Univ. of Arch. & Tech. (Social Science Edition). 36(6), 30-37. (In Chinese)
  9. Wang, C., Jiang, P., Sun, T. Q. (2017). An Effect of Research and Development Capital Investment on Regional Innovation Performance – Based on Spatial Panel Data Estimation [J]. Journal of Taiyuan University of Technology (Social Science Edition). 35(5), 39-46. (In Chinese)
  10. Wang, C., Jiang, P., Sun, T. Q. (2017). Research and Development Investment, FDI Investment Threshold Effect and Regional Innovation Output: Based on the Panel Regression Threshold Model [J]. Journal of Changsha University of Science & Technology (Social Science). 32(5), 64-74. (In Chinese)
  11. Sun, T. Q., et., al. (2016). Analysing Environment and Successful Rate of Function Mechanisms for Crowdsourcing Platforms, Studies in Science of Science, 34(2), 279-287. (In Chinese)

Research Interests

  • Innovation policy and digitalization

  • Digital innovation and its impacts on transformational change in public sector

  • Governance of digital technologies, such as AI and Blockchain, in driving organizational change and value co-creation

  • Mixed methods, especially qualitative methods, and policy analysis

Conferences

  1. Wang C., Sun, T. Q. (2020). The Power of Shared Scientific Training: The Role of Institutional Logic in the Governance of AI Development in Healthcare. SIG Advances Sourcing – JIT SI Paper Development Workshop, ICIS, 2020, December 13-16.

  2. Sun, T. Q., & Medaglia, R. (2017). Artificial Intelligence and Public Healthcare Service Innovation: A Service Ecosystem Perspective. The 40th Information Systems Research Conference in Scandinavia, IRIS 2017, Norway, 2017.

  3. Sun, T. Q., & Medaglia, R. (2017). Artificial Intelligence Entering Public Healthcare Ecosystems: Do Policies Matter? Pre-ICIS Workshop on E-Government, Seoul 2017

  4.   Sun, T. Q., LIU, H. B. (2015). Balancing knowledge flows to crowdsourcing platforms for innovation generation. Paper presented at the Third Doctoral Consortium of Taiwan Strait in Taiwan. Hsinchu, Taiwan, China.