IEEE Transactions on
Special Issue: Technology and Engineering Management in China
Dr. Fei Yuan, Beijing University of Technology, email@example.com
Dr. Xin Li, Beijing University of Technology, firstname.lastname@example.org
Prof. Lucheng Huang, Beijing University of Technology, email@example.com
Dr. Yuan Zhou, Tsinghua University, firstname.lastname@example.org
Prof. Lan Xue, Tsinghua University, email@example.com
To build a more innovation-oriented nation and support its “Made in China 2025” strategy, China is embracing new technology and is seeking greater engineering expertise for high-quality development at the beginning of a new era. However, it does not mean transferring them from the advanced area through the opening door. In fact, nowhere is this can successfully achieve global competitiveness without Management of Technology (MOT). Managing the technological and engineering capabilities are pivotal for China to learn and contribute to national and sectoral innovation systems. Moreover, some successful development experience in China from different kinds of organizations and industries will benefit both developed and developing countries. In recent years, significant changes have taken place in the processes of technology development and engineering innovation in China, and these are not yet fully appreciated and understood. The aim of this special issue is to study the critical concern of these developments on current and potential technology and engineering management in (and with) China and to inform and inspire both academic researchers and practitioners. Some relevant trends in practices are illustrated below.
The Novel/Theoretical contributions. Since 2006, China has nationally adopted a strategy focused on innovation. The accelerated development of science and technology in China has invoked a theoretical paradigm with Chinese characteristics that allows complicated interdisciplinary issues in the management of technology to be effectively resolved. It is meaningful to examine some unique application cases of technological development and engineering innovation in China, which addresses various crucial issues necessary in the establishment of infrastructure, strategies, mechanisms, and systems of technology management in China. The scholars will likely to put forward the emergence of new concepts and new patterns of MOT study field from Chinese evidence in the global perspective.
The next chapter for and from emerging industries. China has been encouraging the development of strategic emerging industries, which include sectors with high growth potential and rely on high-end technology. In addition, the Fourth Industrial Revolution includes the Internet, big data, cloud computing, artificial intelligence and the blockchain – all dramatically changing the way of moving product/services from idea to market in China. Now Chinese people are benefiting from this transformation. Emerging industries like the digital economy and electric vehicles are thriving and the construction of high-speed railways and other types of independent innovation has paced up to match a modern China. However, it is still unclear what are the implications of Chinese implementing experience in these industries for the technology and engineering management and how these emerging industries will influence technology development and the level and types of innovation in China.
The new trends in exploring the emerging technology. With continuous support in the fields of research, development, and innovation, more cutting-edge frontier technologies, such as artificial intelligence and internet of things, has been emerged in China. From this perspective, it is necessary to establish and to explore new methods using new data source to discern how these emerging technologies change the nature of work, and then improve the effectiveness and efficiency of innovation to support R&D strategy and decision-making in Chinese practice. Would emerging technology make China the world’s next innovation superpower? We’re also seeking to examine the new trends and implications of China’s significant progress or surpassing capabilities in key emerging technologies being supported by advanced approaches and techniques.
The role of regulations, policies, and standards. How to embark on innovation-driven growth and learning-based economic development through management of technology and engineering innovation? There are several key factors in technology management for mastering the challenges of regulations, policies, and standards, which must be considered by industry executives and policymakers. These include issues of technology transfer, engineering management in the global environment, structure and dynamics and performance of indigenous innovation systems, business finance and education and training in MOT, etc.
The special issue aims to publish the best full papers in the emerging area of technology and engineering management in China to provide the current state of the art that bridge the gaps in between theoretical conceptions and practical propositions. We invite contributions, based on innovative studies that span theoretical boundaries and disciplines to develop new insights on implications and relationships in the field of MOT in Chinese industries and market settings. Topics might be relevant, but not limited to:
- Novel theoretical and phenomenological MOT models with Chinese characteristics and experience
- Big data and novel methodologies for technology intelligence, assessment, planning, and forecasting
- Technology/engineering management for green development
- Innovation diffusion and transfer for technology/engineering upgrading
- Managing the emergence of new industries: artificial intelligence; smart technologies, sharing economies, genetic-technology, and big-data era
- Social awareness of emerging technologies and engineering projects
- Science, technology, and innovation strategy in the new internationalization era
- Indigenous technological and engineering capabilities for catch-up or leapfrogging
- Innovation policies for the management of technology/engineering
The focus of the manuscripts should be on cutting-edge theoretical developments and phenomena in the best practices. Manuscripts should be submitted through the publisher’s online system. Submissions will be reviewed according to the journal’s rigorous standards and procedures through double-blind peer review by at least two qualified reviewers.
Submission Process: Please prepare the manuscript according to IEEE-TEM’s guidelines (http://ieee-tmc.org/tem-guidelines) and submit it to the journal’s Manuscript Central site (https://mc.manuscriptcentral.com/tem-ieee). Please clearly state in the cover letter that the submission is for this special issue.
- Interested authors send abstracts by December 31st 2018
- Decisions on acceptance of abstracts by March 31st 2019
- Full Papers submitted by December 31st 2019
Guest Editor Bios
Fei Yuan is an Assistant Professor in the School of Economics and Management at Beijing University of Technology, China. He holds a Ph.D. in Innovation Management from Tokyo Institute of Technology. Dr. Yuan serves as the editorial board member of IEEE TEM and has been a reviewer of international journals and conferences. He has been engaged in the Chinese and Japanese key research projects in science and technology innovation. He served for Japanese and Chinese universities and the Chinese government. He participated the educational programs in international cooperation & exchanges. His research interest involves technological innovation management in high-tech sectors and emerging industries, science and technology policy, and strategic management of technology.
Xin Li is an Associate Researcher at the School of Economics and Management, Beijing University of Technology, China. He received his Ph.D. degree in engineering and technology management from Beijing University of Technology in China. He was a visiting scholar in Engineering and Technology Management Department at Portland State University, Oregon, USA. His recent research interests include technology forecasting, data mining, and technology roadmapping. He has published several papers in Science and Public Policy, Technological Forecasting & Social Change, International Journal of Technology Management, Environmental Innovation and Societal Transitions, Foresight, Scientometrics, etc.
Lucheng Huang is a Professor at the School of Economics and Management, Beijing University of Technology, China. He received his Ph.D. degree in management science from Huazhong University of Science and Technology. He is an expert enjoying the special allowance of the State Council, Chairman of Academic Board in Research Base of Beijing Modern Manufacturing Development, Executive Vice Chairman of China Society for Management of Enterprises, and Vice President of Technical Management Discipline Committee in China Society of Technical Economics. His recent research interests include emerging technology management and technology innovation management. He has published several papers in Technological Forecasting & Social Change, Foresight, Scientometrics, etc.
Yuan Zhou is an Associate Professor at the School of Public Policy and Management, Tsinghua University, China, and he serves as the Assistant Director of Chinese Institute of Engineering Development Strategies. He is also a guest (senior) lecturer at Nanyang Technological University (Singapore). His recent research interests include public policy, innovation policy, and technology innovation management. His ongoing projects involve “Big-data methods to support innovation and technology foresight”, “Public demonstration projects for strategic emerging industries in China”, “Strategic roadmapping methods for new energy technologies in China”, “Technological trajectories for climate change mitigation in Europe, China and lndia”, and “High-value engineering network in Europe and China”, etc. Based on these projects, he has published several papers in Science and Public Policy, Technological Forecasting & Social Change (TFSC), Journal of Cleaner Production, Energy Policy, Sustainable Development, International Journal of Technology Management, Innovation: Management, Policy & Practice, etc. He serves as the editorial board member of TFSC and some other international journals.
Lan Xue is a Cheung Kong Chair Professor and Dean of School of Public Policy and Management at Tsinghua University. He is also the Director of the China Institute for S&T Policy and a Deputy Director of the China Institute for Strategic Studies on Engineering and Technology Development. He also serves as an adjunct professor at Carnegie Mellon University and a Non-Resident Senior Fellow of Brookings Institution. His teaching and research interests include public policy analysis and management, science and technology policy, and crisis management. He also serves as an adjunct professor at Carnegie Mellon University and a Non-Resident Senior Fellow of Brookings Institution. His many public service appointments include a member of the Expert Committee on Emergency Management of the State Council of China, Vice President of China Association of Public Administration, Vice Chairman of the National Steering Committee for MPA Education, a member of the Visiting Committee for Harvard Kennedy School, a member of the Academic Advisory Board for the Blavatnik School of Government at Oxford University, and a member of the OECD science, Technology and Innovation (STI) Advisory Group. He is a recipient of the Fudan Distinguished Contribution Award for Management Science. In 2012, he was invited to serve as the co-chair of the Leadership Council of the UN Sustainable Development Solution Network (UNSDSN).
IEEE Transactions on Engineering Management is a journal of the Technology and Engineering Management Society of IEEE, published quarterly since 1954. It is dedicated to the publication of peer-reviewed original contributions, by researchers and practitioners, regarding the theory and practice of engineering, technology, and innovation management.
Editor in Chief
Tugrul U Daim, PhD PICMET Fellow
Professor and Director
Technology Management Doctoral Program
Department of Engineering and Technology Management
Maseeh College of Engineering and Computer Science
Portland State University, Portland OR