Analysis of University Science Research Capability Elements and Evaluation Based on BP Neural Network
ABSTRACT
After analyzing effect elements of University Science Research Capability (USRC) based on dynamic capability theory, combined the substance of university science research with the highly self-organized, self-adapted and self-learned characteristics of Back Propagation (BP) Neural Network, the paper conducts a research on evaluation of USRC, in which an evaluation index system of USRC is constructed and a 15-7-1-typed BP Neural Network with three layers is presented to evaluate USRC, which provides a BP Neural Network-based methodology for evaluation of USRC with multiple inputs.
After analyzing effect elements of University Science Research Capability (USRC) based on dynamic capability theory, combined the substance of university science research with the highly self-organized, self-adapted and self-learned characteristics of Back Propagation (BP) Neural Network, the paper conducts a research on evaluation of USRC, in which an evaluation index system of USRC is constructed and a 15-7-1-typed BP Neural Network with three layers is presented to evaluate USRC, which provides a BP Neural Network-based methodology for evaluation of USRC with multiple inputs.
Cite this paper
nullW. Liu and C. Shi, "Analysis of University Science Research Capability Elements and Evaluation Based on BP Neural Network," Journal of Service Science and Management, Vol. 1 No. 3, 2008, pp. 266-271. doi: 10.4236/jssm.2008.13030.
nullW. Liu and C. Shi, "Analysis of University Science Research Capability Elements and Evaluation Based on BP Neural Network," Journal of Service Science and Management, Vol. 1 No. 3, 2008, pp. 266-271. doi: 10.4236/jssm.2008.13030.
References
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[1] V. M. Giménez and J. L. Martínez, “Cost efficiency in the university: A departmental evaluation model,” [J]. Economics of Education Review, Vol. 25, pp. 543-553, 2006. [2] P. Boccardelli and M. G. Magnusson, “Dynamic capabilities in early-phase entrepreneurship,” [J]. Knowledge and Process Management, Vol. 13, pp. 162-174, 2006. [3] D. J. Teece, “Explicating dynamic capabilities: The nature and microfoundations of (sustainable) enterprise performance,” [J]. Strategic Management Journal, Vol. 28, pp. 1319-1350, 2007. [4] C. E. Helfat and M. A. Peteraf, “The dynamic resource-based view: Capability lifecycles,” [J]. Strategic Management Journal, Vol. 24, pp. 997-1010, 2003. [5] B. McEvily and A. Marcus, “Embedded ties and the acquisition of competitive capabilities,” [J]. Strategic Management Journal, Vol. 26, pp. 1033-1055, 2005. [6] D. Hussey, “Company analysis: Determining strategic capability,” [J]. Strategic Change, Vol. 11, pp. 43-52, 2002. [7] G. S. Wang, “Enterprise theory: capability theory [M],” China Economic Publishing House, PP. 69-70, 2006. [8] Teece, Pisano, and Shuen, “Dynamic capabilities and strategic management”[J], Strategic Management Journal, 18(7): pp. 509-533, 1997. [9] J. W. Dong, J. Z . Huang, and Z. H. Chen, “An intellectual model of the evolution of dynamic capabilities; and a Relevant Case Study of a Chinese Enterprise” [J], Management Word, (4): pp. 117-127, 2004. [10] J. Z. Huang and L. W. Tan, “From capability to dynamic capability: transformation of the points of stratagem” [J], Economy Management, (22): pp. 13-17, 2002. [11] K. M. Eisenhards and Martin, “Dynamic capabilities: what are they,” [J], Journal of Evolutionary Economics, (3): 519-523, 2000. [12] T. M. Crimmins, J. E. de Steiguer, and Donald Dennis, “AHP as a means for improving public participation: A pre-post experiment with university students,” [J]. Forest Policy and Economics, Vol. 7, pp. 501-514, May 2005. [13] A. Golec and E. Kahya, “A fuzzy model for competency-based employee evaluation and selection,” [J]. Computers & Industrial Engineering, Vol. 52, pp. 143-161, February 2007. [14] J. C. Glassa, G. McCallionb, and D. G. McKillopc, “Implications of variant efficiency measures for policy evaluations in UK higher education,” [J]. Socio-Economic Planning Sciences, Vol. 40, Issue 2, pp. 119-142, June 2006. [15] L. Bodin and S. I. Gass, “On teaching the analytic hierarchy process,” [J]. Computers & Operations research, pp. 1487-1497, 2003. [16] D. Du, Q. H. Pang, and Y. Wu, “Modern synthesis evaluation methods and cases choiceness,” [M], TSINGHUA University Press, pp. 34-40, 2008. [17] H. Hao and J. F. Zhong, “System analysis and evaluation methods,” [M], Economic Science Press, pp. 185-239. 2007. [18] S. L. Sun, “The application study of supplier evaluation model in supply chain,”[J], Modernization of Management, Vol. 1, pp. 62-64, 2007. [19] F. S. Wang and S. Z. Peng,“Study on the measurement of the activity-based value output of industry value chain based on BP neural network,” [J], Journal of Harbin Institute of Technology, Vol. 1, pp. 91-93, 2006. [20] Y. J. Guo, “Theory, method and application of comprehensive evaluation,” [M]. Bei Jing: Science Press, pp. 14-29, 2007. [21] W. Z. Zhu, “The establishment of systematized evaluation indexes to university science research capacity,” [J]. Journal of Anhui University of Technology and Science. Vol. 18, pp. 40-44, 2003. [22] J. Q. Cai and L. M.Cheng, “Research on evaluation of university science research capability”[J]. R & D Management, Vol. 10, pp. 76-80, 1998. [23] X. Min, C. R. Dai, and H. Bin, “Research on evaluation of university science research capability based on theory of fuzzy mathematics,” [J]. Science and Technology Management Research. Vol. 8, pp. 185-187, 2006. [24] B. Liu and X. L. Wang,“Research on evaluation methon of university sceince research capability,” [J] Science of Science and Management of S. & T. Vol. 12, pp. 83-85, 2003. [25] Y. H. Li and Y. Q. Hu, “Comprehensive evaluation based on bp artificial neural network on enterprises core competence in the old industrial base,” [J], Commercial Research, Vol. 5, pp. 34-36, 2006. [26] L. C. Jiao, “Systemic theory of neural network,” [M]. Xi An: Xidian University Press, 1996. [27] Y. F. Wu, Z. Z. Li, “Application of improved BP nerve network model in forecasting dam safety monitoring val-ues,” [J], Design of Hydroelectric Power Station, Vol. 2, pp. 21-24, 2002.