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A STUDY ON MEASUREMENT OF INTELLECTUAL CAPITAL KERNEL BASED ON ARTIFICIAL NEURAL NETWORK AND EMPIRICAL ANALYSIS

Huang Ningyan and Shuai Liguo
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Huang Ningyan: Institute of Scientific & Technique Information of China, 15 Fuxing Road, Beijing 100038, China
Shuai Liguo: University of South-East, Nanjing 210096, China

Chapter 15 in Creating Collaborative Advantage Through Knowledge and Innovation, 2007, pp 229-245 from World Scientific Publishing Co. Pte. Ltd.

Abstract: AbstractAiming 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.

Keywords: Collaboration Innovation; Knowledge Creation; Relationship; Social Networks; Knowledge Discovery; Knowledge Organization (search for similar items in EconPapers)
Date: 2007
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