Abstract
Innovation performance is an important indicator that examines if the new venture has the foreseeable future of development during the growing process. With SFA and the sample–historical data of 24 new establishment of 6-8 years start-ups, innovation performance of which were measured and analyzed and the variation of innovation performance and its influencing factors were also be found. The paper provides practical advice for robust growth of the new venture.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Biggadike, E.: Corporate Diversification, Entry,strategy, and Performance. Harvard University-Press, Cambridge (1979)
Kazajian, R., Drazin, R.: A Stage-contingent Model of Design and. Growth for Technology Based New Ventures. Journal of Business Venturing 3, 137–150 (1990)
Kazanjian, R.: Relation of Dominant Problems to Stages of Growth in Technology Based New Ventures. Academy of Management Journal 2, 257–279 (1998)
Lin, Q.: A Research on High-tech Business Incubation Mechanism Based on the Determinants of New Venture Performance. PhD thesis, Tsinghua University (2003)
Cui, Q.: Research on the Affecting Mechanism of Entrepreneurial Environment on New Venture Performance Based on Network View. PhD thesis, Jilin University (2007)
Lanjouw, J.O., Schankerman, M.: The Quality of Ideas: Measuring Innovation with Multiple Indicators. NBER Working, 7345–7356 (1999)
Hagedoom, J., Cloodt, M.: Measuring Innovative Performance: Is There an Advantage in Using Multiple Indicators. Research Policy 32, 1365–1379 (2005)
Nasierowskiw, W., Arcelus, F.J.: On the Efficiency of National Innovation Systems. Socio-Economic Planning Sciences 37, 215–234 (2009)
Liu, S., Guan, J.: The Evaluation on the Innovating Performance of Regional Linnovation Systems. Chinese Journal of Management Science 1, 75–78 (2010)
Guan, J., Liu, S.: The Study on Impact of Institutions on Innovation Efficiency in Regional Innovation Systems. Studies in Science of Science 2, 210–214 (2010)
Ren, S., Peng, J.: Evaluation and Comparison on the Innovation Performance of the Central Region Based on DEA Model. Quest 10, 15–18 (2009)
Cheng, Z., Li, L., Li, Z.: The Dynamic Analysis of Chinese Regional Differences in Innovation Performance. Science & Technology Progress and Policy 13, 33–39 (2010)
Chen, Q., Long, Z., Lin, G.: A Stochastic Frontier Analysis of Regional Technical Efficiency in China. Journal of Applied Statistics and Management 2, 271–278 (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Li-yan, W., Xiao-zhong, S. (2011). Stochastic Frontier Analysis for New Venture’s Innovation Performance. In: Liu, C., Chang, J., Yang, A. (eds) Information Computing and Applications. ICICA 2011. Communications in Computer and Information Science, vol 244. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27452-7_76
Download citation
DOI: https://doi.org/10.1007/978-3-642-27452-7_76
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27451-0
Online ISBN: 978-3-642-27452-7
eBook Packages: Computer ScienceComputer Science (R0)