Determinants of Emerging Technology Commercialization: Empirical Evidences from MEMS Technology
International Journal of Economic Behavior and Organization
Volume 5, Issue 6, December 2017, Pages: 124-130
Received: Dec. 5, 2017;
Published: Dec. 6, 2017
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Chunbo Wang, University Institute of Lisbon, Lisbon, Portugal; School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, China
Paulo Bento, University Institute of Lisbon, Lisbon, Portugal
Lu Yin, School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, China
Currently most of studies on commercialization of the emerging technology considered the context in developed countries like US, Japan, and EU with few research on developing country like China. To fill this gap, taking 112 Chinese Micro-Electro-Mechanical Systems (MEMS) enterprises as a sample, this thesis empirically investigated the determinants of emerging technology in China. Through multiple regression analysis, the empirical results show that technology property, market conditions, regional innovation network, and enterprise capability are main determinants of MEMS commercialization whereas social environment and policy and regulation do not have significant impact on the performance of MEMS commercialization.
Determinants of Emerging Technology Commercialization: Empirical Evidences from MEMS Technology, International Journal of Economic Behavior and Organization.
Vol. 5, No. 6,
2017, pp. 124-130.
B. Masters, and P. Thiel, Zero to One: Notes on Startups, or How to Build the Future. United States: Crown Publishing Group, 2014, pp. 23.
L. Yin, and M. Wang, Introduction of the Management of Emerging Technologies, Beijing: Science Press. 2010, pp. 45.
G. S. Day, and P. J. H. Schoemaker, Wharton on Managing Emerging Technologies. Hoboken: John Wiley & Sons, Inc., 2000, pp. 34-37.
H. Huang, Z. Zhang, “Commercialization Process Research of Emerging Technology Products Based on Disruptive Innovation: Example of Apple Inc.” Chinese Science and Technology Forum, 2015, 2, pp. 37-42.
W. C. Tian, The Principle, Design and Analysis of MEMS. Xi’an: Xidian University Press. 2009, pp. 23-28.
W. K. Sung, M. Dalal, “A3MHz spoke gyrospope with wide bandwidth and large dynamic range,” Proceedings of the IEEE International Conference on Micro Electro Me-chanical Systems. Hongkong, China, 2010, pp. 104-107.
J. P. Andrew, and H. L. Sirkin, “From innovation to revenue generation,” Harvard Business Review, 2004, 47(2), pp. 65-67.
J. R. Bright, Practical Technology Forecasting, Austin: Technology Futures, Inc., 1970, pp. 23-35.
L. C. Huang, and X. J. Yang, “An analysis of the evolutionary relationship between emerging technologies and new industry,” Science & Technology Progress and Policy, 2014, 31(3), pp. 72.
J. Wang, F. Ling, J. Tang, “Evaluation of emerging technology impact on future industry based on patents,” Journal of Intelligence, 2015, 33(5), pp. 44-48.
P. Li, X. Chen, “Nano technology identification based on patent citation coupling cluster,” Journal of Intelligence, 2015, 34(5), pp. 35-40.
C. Wang, Q. Su, “Analysis of the effects of policy measures on emerging technology evolution: a case study of 3D printing technology,” Journal of Intelligence, 2016, 33(6), pp. 110-116.
C. Bi, “Coevolution mechanism of emerging technology, emerging market and emerging industry, Science & Technology,” Progress and Policy, 2015, 32(11), pp. 45-49.
D. Zhai, J. Xia, J. Zhang, Q. Li,, X. Feng, “Method of Weak signal identification based on emerging technology patents,” Journal of Intelligence, 2015, 34(8), pp. 31-36.
Z. He, and L. Rayman-Bacchus, “Cluster network and innovation under transitional economies: An empirical study of the Shaxi garment cluster,” Chinese Management Studies, 2010, 4(4), pp. 360-384.
P. Cooke, “Regional systems of innovation: An evolutionary perspective,” Environment and Planning, 1998, 30, pp. 1563-1584.
Z. He, L. Rayman-Bacchus, and Y. M. Wu, “Self-organization of industrial clustering in a transition economy: a proposed framework and case study evidence from China,” Research Policy, 2011, 40, pp. 1280-1294.
D. Ding, Z. Li, M. Hu, “Potential risks in the Development of Emerging Technologies and the Problems of Technology Governance,” Chinese Soft Science, 2013, 6, pp. 62-70.
L. Yuan, and S. L. Deng (1999), “A methodology for competitive advantage analysis and strategy formulation: an example in a transitional economy,” European Journal of Operation Research, 199, pp. 118-119.
Y. Zhang, The Competitive Technical Intelligence Methodology for Emerging Technology, Doctoral Dissertation, Management and Economics, Beijing Institute of Technology, 2016, pp. 78-83.
L. Rayman-Bacchus, Z. He, “Assessing clustered SME practice towards environmental and social impact: a Bourdieusian approach,” International Journal of Innovation and Sustainable Development, 2014, 8(2): 167-189.