Skip to main content
SpringerLink
Log in

Research on Precision Marketing Model of Beijing Agricultural Products Under Big Data Environment

  • Conference paper
  • First Online:
Advances in Intelligent, Interactive Systems and Applications (IISA 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 885))

Abstract

Traditional agricultural sales mode has been unable to adapt to the rapid development of Beijing agricultural economy, and there exist prospects for precision marketing of Beijing agricultural products under big data environment. This paper constructs an effective precision marketing model of Beijing agricultural products by adopting big data technology, and discusses the key aspects along with matters in the model establishment, according to the characteristics of agricultural products and the current marketing situation in Beijing. With this model, it is possible to achieve efficient docking of agricultural production and sales, and further to meet the growing high-quality demand of consumers.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
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. Gantz, J., Reinsel, D.: Extracting value from chaos. IDC iView 1142, 1–12 (2011)

    Google Scholar 

  2. Kwon, O., Lee, N., Shin, B.: Data quality management, data usage experience and acquisition intention of big data analytics. Int. J. Inf. Manag. 3, 387–394 (2014)

    Article  Google Scholar 

  3. Wang, Z.: Prediction of customers consumption patterns based on two-stage behavior analysis model-taking precision marketing of telecommunications data services as examples. In: Intelligent Information Technology Application Association. Proceedings of 2011 International Conference on Informatics, Cybernetics, and Computer Engineering (ICCE 2011 V2). Intelligent Information Technology Application Association, p. 8 (2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Agricultural Information and Economics, Beijing Academy of Agriculture and Forestry Sciences, Key Laboratory of Urban Agriculture (North China), Ministry of Agriculture, Beijing, 100097, People’s Republic of China

    Xiangyu Chen & Jing Gong

Authors
  1. Xiangyu Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jing Gong
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jing Gong .

Editor information

Editors and Affiliations

  1. Department de Ciències de la Computació, Universitat Politècnica de Catalunya, Barcelona, Spain

    Fatos Xhafa

  2. Department of Computer Science and Engineering, Faculty of Engineering and Technology, SOA University, Bhubaneswar, Odisha, India

    Srikanta Patnaik

  3. Department of Business Systems and Analytics, La Salle University, Philadelphia, PA, USA

    Madjid Tavana

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Chen, X., Gong, J. (2019). Research on Precision Marketing Model of Beijing Agricultural Products Under Big Data Environment. In: Xhafa, F., Patnaik, S., Tavana, M. (eds) Advances in Intelligent, Interactive Systems and Applications. IISA 2018. Advances in Intelligent Systems and Computing, vol 885. Springer, Cham. https://doi.org/10.1007/978-3-030-02804-6_105

Download citation

Publish with us

Policies and ethics

Search

Navigation