Skip to main content
SpringerLink
Log in

Analyzing the Information Behavior Under the Complexity Science Management Theory

  • Conference paper
  • First Online:
Geo-Spatial Knowledge and Intelligence (GSKI 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 849))

Included in the following conference series:

  • 1115 Accesses

Abstract

Information behavior is a complicated process. Using the method of complexity science management to study the information behavior has important theoretical significance and practical guiding value. This paper provides a new perspective for information behavior, and introduces the theory of complexity science management, method, and the basic thoughts to solve the problems. The application of complexity science management in the research of information behavior was expounded from three aspects that includes theoretical system, research methods, research process to analyze the transformation of information behavior paradigm based on complexity science management.

Rongying Zhao, PhD, is a professor at the School of Information Management, Wuhan University. Her research interests focus on knowledge management and competitive intelligence, Informetrics and scientific evaluation.

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

Access this chapter

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 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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

Institutional subscriptions

References

  1. Chen, S.: Complexity science and management. J. Nanchang Univ. 31(3), 1–6 (2000)

    Google Scholar 

  2. Zheng, Z., et al.: Complexity science management and big data. In: IEEE International Conference on Granular Computing (2014)

    Google Scholar 

  3. Wilson, T.: The information user: past, present and future. J. Inf. Sci. 34(34), 457–464 (2008)

    Article  Google Scholar 

  4. Bernal, J.D.: Preliminary Analysis of Pilot Questionnaire on the use of Scientific Literature (1948)

    Google Scholar 

  5. Aslib: Report of an investigation on literature searching by research scientists. Aslib Research Department (1964)

    Google Scholar 

  6. Slater, M.: Social scientists’ information needs in the 1980s. J. Documentation 44(3), 226–237 (1988)

    Article  Google Scholar 

  7. Wilson, T.D.: Information needs in local authority social services departments: an interim report on project Iniss. J. Documentation 35(2), 120–136 (2013)

    Article  Google Scholar 

  8. Wilson, T.D.: On user studies and information needs. J. Documentation 62(6), 658–670 (2006)

    Google Scholar 

  9. Schamber, L.: Relevance and information behavior. Ann. Rev. Inf. Sci. Technol. 29(1), 3–48 (1994)

    Google Scholar 

  10. Case, D.O.: Looking for Information: A Survey of Research on Information Seeking, Needs, and Behavior. Academic Press, San Diego (2016). 002: 138–139

    Google Scholar 

  11. Leydon, G.M., Boulton, M., Moynihan, C., et al.: Cancer patients’ information needs and information seeking behaviour: in depth interview study. BMJ 320(7239), 909–913 (2000)

    Article  Google Scholar 

  12. Gonzalez-Gonzalez, A.I., Martin, D., Jose, S.-M., et al.: Information needs and information-seeking behavior of primary care physicians. Ann. Fam. Med. 5(4), 345–352 (2007)

    Article  Google Scholar 

Download references

Acknowledgments

This paper is supported by National Social Science Foundation in China (Grant No. 16BTQ055).

Author information

Authors and Affiliations

  1. Research Center for Chinese Science Evaluation, Wuhan University, Wuhan, 430072, China

    Rongying Zhao, Mingkun Wei & Danyang Li

  2. School of Information Management, Wuhan University, Wuhan, 430072, China

    Rongying Zhao, Mingkun Wei & Danyang Li

Authors
  1. Rongying Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mingkun Wei
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Danyang Li
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Rongying Zhao or Mingkun Wei .

Editor information

Editors and Affiliations

  1. Beijing Institute of Technology, Beijing, China

    Hanning Yuan

  2. Beijing Institute of Technology, Beijing, China

    Jing Geng

  3. Beijing Institute of Technology, Beijing, China

    Chuanlu Liu

  4. Wuhan University, Wuhan, China

    Fuling Bian

  5. Beijing Institute of Technology, Beijing, China

    Tisinee Surapunt

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Zhao, R., Wei, M., Li, D. (2018). Analyzing the Information Behavior Under the Complexity Science Management Theory. In: Yuan, H., Geng, J., Liu, C., Bian, F., Surapunt, T. (eds) Geo-Spatial Knowledge and Intelligence. GSKI 2017. Communications in Computer and Information Science, vol 849. Springer, Singapore. https://doi.org/10.1007/978-981-13-0896-3_67

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-0896-3_67

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-0895-6

  • Online ISBN: 978-981-13-0896-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation