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A Study On Measurement Of Intellectual Capital Kernel Based On Artificial Neural Network And Empirical Analysis

In: Creating Collaborative Advantage Through Knowledge And Innovation

Author

Listed:
  • Huang Ningyan

    (Institute of Scientific & Technique Information of China, 15 Fuxing Road, Beijing 100038, China)

  • Shuai Liguo

    (University of South-East, Nanjing 210096, China)

Abstract

Aiming at the measurement of “ intellectual capital kernel ”, this paper proposes to construct a mathematic model with the artificial neural network (ANN) and demonstrate how the executive process of intellectual capital resource can be simulated by the ANN. This model will show the mathematical relationship between intellectual capital carrier instructors and firm performance. BP (Back propagation) network—considered classic and simple—is taken for granted in the case study of Sweden Skandia in order to measure intellectual capital kernels. The empirical study is done based on data from the Skandia intellectual capital report. A deep analysis is made for the results, which show that for its limited samples, the model operates normally. Additional case studies are anticipated to further validate our conclusions.

Suggested Citation

  • Huang Ningyan & Shuai Liguo, 2007. "A Study On Measurement Of Intellectual Capital Kernel Based On Artificial Neural Network And Empirical Analysis," World Scientific Book Chapters, in: Suliman Hawamdeh (ed.), Creating Collaborative Advantage Through Knowledge And Innovation, chapter 15, pages 229-245, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789812707482_0015
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