AHP - Based Analysis on the Effecting Factors of Crop Provision Chain Information Sharing

  • Yudi Wang
  • Ze GaoEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1147)


China is a big trading country of agricultural products, agricultural products directly affect China’s economic development and people’s overall living standards. Based on this, people pay more and added notice to the problems related to crops byproduct, especially the supply chain of agricultural products. The provision chain of agricultural products is related to the trade of crops byproduct. and even has a profound impact on the safety and quality of agricultural products. The degree of information sharing in agricultural product supply chain is closely related to agricultural product trade and quality safety. Based on the AHP method, this paper first briefly analyzes the basic concepts of the agricultural product supply chain and the AHP method, and analyzes the influencing factors of the information sharing of the agricultural product supply chain in combination with relevant data. Then, it calculates the relevant weights with the AHP model, and proposes relevant improvement strategies based on this. On the one hand, it can realize the optimization of information sharing of agricultural product supply chain; on the other hand, it provides a certain theoretical basis for future research on related aspects.


AHP method Agricultural supply chain Information sharing Improvement strategy 


  1. 1.
    Ye, J., Chen, G.F., Zeng, G.W.: Research and application of cloud computing technology in agricultural information resources sharing service. Adv. Mater. Res. 12(5), 756–759 (2017)Google Scholar
  2. 2.
    Song, L.R., Li, S.J.: Study on influencing factors of information quality in agricultural science and technology information sharing. Hubei Agric. Sci. 33(2), 1–13 (2017)Google Scholar
  3. 3.
    Cao, W., Yang, B., Pei, Z.: Investigation and analysis of agricultural condition information demand in China. Trans. Chin. Soc. Agric. Eng. 12(18), 334–337 (2017)Google Scholar
  4. 4.
    Feng, C.L., Li, T.P., Yan, Y.T.: Research on the influence factorsof knowledge sharing in supply chain—based on perspective of knowledge characteristics. J. Syst. Manag. Sci. 5(3), 21–28 (2017)Google Scholar
  5. 5.
    Bharadwaj, A.S.: A resource-based perspective on information technology capability and firm performance: an empirical investigation. Mis Q. 24(1), 169–196 (2017)CrossRefGoogle Scholar
  6. 6.
    Sanders, N.R., Premus, R.: Modeline the relationship between firm IT capability, collaboration, and performance. J. Bus. Logist. 26(1), 1–23 (2017)CrossRefGoogle Scholar
  7. 7.
    Pawlak, Z.: Rough sets. Int. J. Inf. Comput. Sci. 5(11), 341–356 (2017)MathSciNetzbMATHGoogle Scholar
  8. 8.
    Ajzen, I.: The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 50(12), 179–211 (2018)Google Scholar
  9. 9.
    Riege, A.: Three-dozen knowledge-sharing barriers managers must consider. J. Knowl. Manag. 9(3), 18–35 (2017)CrossRefGoogle Scholar
  10. 10.
    den Ouden, M., Aalt, A.: Vertical cooperation in agricultural production-marketing chains: with special reference to product differentiation in pork. Agribusiness 12(3), 277–290 (2017)CrossRefGoogle Scholar
  11. 11.
    Ahumada, O., Villalobos, R.: Application of planning models in the agri-food supply chain: a review. Eur. J. Oper. Res. 196(1), 1–20 (2017)zbMATHCrossRefGoogle Scholar
  12. 12.
    Attenborough, M., Matthews, K.R.: Food safety through the meat supply chain. Soc. Appl. Microbiol. Symp. Ser. 13(2), 144–148 (2017)Google Scholar
  13. 13.
    Bourlakis, C.A., Bourlakis, M.: Logistics asset specificity and information technology safeguards in the food supply chain: The creation of fourth party logistics networks. Paradoxes Food Chains Netw. 4(6), 894–907 (2017)Google Scholar
  14. 14.
    Tah, J., Carr, V.: Effectively managing vertical supply relationships: a risk management model for outsourcing. Supply Chain Manag. Int. J. 4(4), 176–183 (2017)Google Scholar
  15. 15.
    Hardaker, H.: Designing and managing the supply chain: concepts, strategies, and case studies. Soc. Appl. Microbiol. Symp. Ser. 15(9), 124–126 (2017)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.College of Business AdministrationJilin Engineering Normal UniversityChangchunChina

Personalised recommendations