Skip to main content
SpringerLink
Log in
Book cover

Advances in Computer Science, Intelligent System and Environment pp 13–18Cite as

The Adaptive Material and Structure Analysis of Feedback Circuit in Industry Evolution and Enterprise Growth

  • Conference paper

  • 1160 Accesses

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 105))

Abstract

From the perspective of material, structure, and growth, enterprise growth and industry evolution are a complicated dynamic process. They show various dynamic characteristics and structure from birth, growth, maturity to recession as an organism. According to the basic knowledge of system dynamics and science of material and structure, this paper gives a brief analysis of basic structure and mechanism in feedback circuit of industry evolution and enterprise growth. This paper analyzes the positive circuit and negative circuit in industry evolution and enterprise growth with adaptive material called Vensim software. Thus, we believe positive circuit is the driving or dragging force while a negative circuit has the effect of balance. We provide initial ideas and suggestions for managers to view the industries and enterprises.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Ren, H., Li, X.: Logic of Industrial Evolution & Strategy Choice For Declining Industry. Scientific Management Research 5, 46–50 (2001)

    Google Scholar 

  2. Li, Q., Zhao, S.: System Dynamics Analysis of Industry Evolution Based On The Enterprise Decision-Making. Reform and Strategic 10, 109 (2007)

    Google Scholar 

  3. Zhang, Z.: Theory Review of Chinese-Foreign Enterprise Growth. Shandong Economic 1, 60 (2010)

    Google Scholar 

  4. Xu, Q.: Analysis of Modern Enterprise Growth. Shandong Economic 9, 54 (2009)

    Google Scholar 

  5. Yang, W.: Research of The Enterprise Growth Based On System Dynamics. [Dissertation] (2006)

    Google Scholar 

  6. Wang, Q.: System Dynamics. Shanghai University of Finance and Economics Press (2009)

    Google Scholar 

  7. Andreosso, B., Jacobson, D.: Industrial Economics & Organization, Economic

    Google Scholar 

  8. Wang, Q.: Advanced System Dynamics. Tsinghua University Press (1995)

    Google Scholar 

  9. Lu, G.: System Dynamic Mechanism of Industry Evolution. Jianghan Forum 6, 16 (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Economics and Management, Tongji University, China

    Lizhong Mi & Siyang Cheng

Authors
  1. Lizhong Mi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Siyang Cheng
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Wuhan Section Special No.1, International Science & Education Researcher Association, Jiangxia Road of Wuhan, Wuhan, China

    David Jin

  2. Guangzhou Section, International Science & Education Researcher Association, No.144, Jinheng Road Jinbi Garden 85-1102 southern Road of Industry Avenue Haizhu District, Guangzhou, Guang Dong provience, China

    Sally Lin

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Mi, L., Cheng, S. (2011). The Adaptive Material and Structure Analysis of Feedback Circuit in Industry Evolution and Enterprise Growth. In: Jin, D., Lin, S. (eds) Advances in Computer Science, Intelligent System and Environment. Advances in Intelligent and Soft Computing, vol 105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23756-0_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-23756-0_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23755-3

  • Online ISBN: 978-3-642-23756-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation