Abstract
Based on the review of relevant research, this paper combines with the characteristics of individual human capital of high-tech enterprises and constructs a comprehensive evaluation index system including four first-level indicators and sixteen secondary indicators. Using the BP algorithm of neural network model, based on thirty equipment manufacturing enterprises, this paper also establishes an evaluation model of the value of individual human capital for the chief engineer. It holds that although there exist many approaches to evaluating individual human capital value, many problems still remain unresolved, such as: too broad concept definition, a lack of understanding of the specificity of evaluation object, a single evaluation method and inadequacy of practicability or improper model design, and among others the critical problem in the evaluation of human capital value lies in the fact that the system cannot be truly applied to practice.
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This paper is supported by the Humanities and Social Science Fund of the Ministry of Education (09XJC790014; 11XJC630008).
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Li, Xf., Zhang, P. (2013). A Research on Value of Individual Human Capital of High-Tech Enterprises Based on the BP Neural Network Algorithm. In: Qi, E., Shen, J., Dou, R. (eds) The 19th International Conference on Industrial Engineering and Engineering Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38391-5_8
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DOI: https://doi.org/10.1007/978-3-642-38391-5_8
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