Dynamic Complexity of E-Commerce Systems Base on Synergy Field

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Abstract:

Field theory is an important research direction of complexity theory. This research puts forward the theoretical framework of “synergy field”. The quantitative expression of the endogenous disturbance and exogenous disturbance, and the different term responses to the disturbance could be contained in a unified theoretical paradigm. It reveals the process and level of the transformation of E-commerce system and makes judgment and prediction on the status and direction of the system’s transformation according to the quantization description of E-commerce system synergy field. The research of Chinese stock market show that E-commerce system has transformation mechanism, synergy field can effectively describe the transformation complexity characteristics of the E-commerce system.

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Periodical:

Advanced Materials Research (Volumes 403-408)

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383-388

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November 2011

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Yang Meng, Qian Zhang, in: The constrction of E-business: a case study. (China People University Press, Beijing, 1999). pp.33-56.

Google Scholar

[2] Fei-xiang Chen, Li Zhang, Jing Hu: The establishment and demonstration about the field of knowledge diffusion. Studies In Science of Science, Vol. 23(2005), pp.253-257.

Google Scholar

[3] CAO T Y: Representation or Construction?An Interpretation of Quantum Field Theory. in Proceedings of the 20th World Congress of Philosophy, (Boston University Press, Boston, 1998), pp.129-141.

Google Scholar

[4] De Menezes,M. A. and A. -L. Barabasi(2004). Fluctuations in network dynamics,. Physical Review Letters 92: 028701.

Google Scholar

[5] Jun-wen ZHANG, Hai-wen CHEN, Chang-jia CHEN: Study on Source of Multifractal Nature of Internet Traffic. Journal of Software. Vol. 13(2002), pp.470-474.

Google Scholar

[6] Balsara N J, Chen G, Zheng L: The Chinese stock market: an examination of the random walk model and technical trading rules. Quarterly Journal of Finance and Accounting, Vol. 46(2007), pp.43-63.

Google Scholar

[7] Charles A, Darne O. The Random Walk Hypothesis for Chinese Stock Markets: Evidence from Variance Ratio Tests, Economic Systems, Vol. 33(2009), pp.117-126.

DOI: 10.1016/j.ecosys.2008.09.003

Google Scholar

[8] Wickens M.R. and R. Motto: Estimating shocks and impulse response functions. Journal of Applied Economics, Vol. 16(2001), pp.371-387.

DOI: 10.1002/jae.617

Google Scholar

[9] Zhou WX and D. Sornette. Self-organizing Ising model of financial markets. European Physical Journal Vol. 55(2007), pp.175-181.

DOI: 10.1140/epjb/e2006-00391-6

Google Scholar

[10] Sornette, D, in: Endogenous versus exogenous origins of crises, edited by S. Albeverio,V. Jentsch, and H. Kantz, Extreme Events in Nature and Society, Springer, pp.95-120(2006).

DOI: 10.1007/3-540-28611-x_5

Google Scholar