Skip to main content

Effect Factors Analyzing on Supply Chain Logistics Collaboration Based on Structural Equation Model

  • Conference paper
  • First Online:
IE&EM 2019
  • 423 Accesses

Abstract

For the supply chain logistics collaboration problem with manufacturers as the core, the questionnaire was designed through investigation and analysis. The index system of three-dimension collaborative influence factors about logistics standardization, process information and decision-making intelligent was determined. The Structural Equation Model of logistics collaboration influencing factors was constructed based on the relationship hypothesis of index factors affecting logistics collaboration. Combined with the results of the questionnaires, SPSS & AMOS was used to analysis reliability and validity. And structural equation model was verified and evaluated. Finally, the path relationship and the degree of influence between the various factors were determined. It provides a reference for management and control of manufacturing supply chain logistics collaboration in China.

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

Access this chapter

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
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover 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. Long, G.: Collaborative forecasting, inventory hedging and contract collaboration in dynamic supply risk management. Eur. J. Oper. Res. 245(1), 133–145 (2015)

    Article  Google Scholar 

  2. Qin, X., Liu, Z.: A review and future prospects on logistics service quality in supply chain. Chin. J. Manag. 15(11), 1731–1738 (2018). (in Chinese)

    Google Scholar 

  3. Rhea, M.J., Shrock, D.L.: Measuring the effectiveness of physical distribution customer service programs. J. Bus. Logist. 8(1), 31 (1987)

    Google Scholar 

  4. Sawik, T.: On the fair optimization of cost and customer service level in a supply chain under disruption risks. Omega 53, 58–66 (2015)

    Article  Google Scholar 

  5. Li, G., Ma, S., Gong, F., Wang, Z.: Research reviews and future prospective of collaborative operation in supply logistics based on Supply-Hub. J. Mech. Eng. 47(20), 23–33 (2011). (in Chinese)

    Article  Google Scholar 

  6. Ma, S., Lv, F.: Research on production and distribution collaborative mode based on Supply-Hub. Chin. J. Manag. Sci. 6, 50–60 (2014). (in Chinese)

    Google Scholar 

  7. Xie, L., Ma, S., Gui, H., Huang, P.: Empirical analysis on influence mechanism of supply logistics synchronization. Sci. Res. Manag. 3, 147–154 (2014). (in Chinese)

    Google Scholar 

  8. Qian, H., He, J.: Factors influencing synergy of cross-border e-commerce and cross-border logistics: an exploratory study based on ground theory. Ind. Econ. Rev. 8(6), 110–122 (2017). (in Chinese)

    Google Scholar 

  9. Liu, Q., Li, X., Luo, X., Lv, F.: Measurement of influence factors on resources allocation in coal production logistics system from the perspective of safety and productiveness. Sci. Technol. Manag. Res. 38(16), 225–233 (2018). (in Chinese)

    Google Scholar 

  10. Fu, W., Li, M.: Analysis of the influencing factors of regional logistics and regional economic cooperative development based on the improved Interpretative Structural Model. Mod. Manag. 36(3), 23–25 (2016). (in Chinese)

    Google Scholar 

  11. Mi, Z., Zeng, G.: Logistics linkage pattern, characteristics and influencing factors of the Yangtze River economic belt under different scales. Sci. Geogr. Sin. 38(7), 1079–1088 (2018). (in Chinese)

    Google Scholar 

  12. Huang, J., Chen, X.: Research on the cooperative development of manufacturing and logistics industry in Xiamen based on PCA-GRA. J. Fuzhou Univ. (Philos. Soc. Sci. Ed.) 32(5), 57–63 (2018). (in Chinese)

    Google Scholar 

  13. Zhang, H., Zhang, Y.: Effect factors analyzing on the driver choices behavior on the dilemma zone at the signalized intersections based on structural equation model. Sci. Technol. Eng. 18(28), 254–259 (2018). (in Chinese)

    Google Scholar 

  14. Xiong, B., Skitmore, M., Xia, B., Masrom, M.A., Ye, K., et al.: Examining the influence of participant performance factors on contractor satisfaction: a structural equation model. Int. J. Project Manag. 32(3), 482–491 (2014)

    Article  Google Scholar 

Download references

Acknowledgment

This research is supported by the fund of China innovation method project (No. 2016IM030200) and doctoral research foundation of Henan University of Science and Technology.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xiao-ying Yang .

Editor information

Editors and Affiliations

Ethics declarations

I promise that the contents of the questionnaire involved in the paper Effect Factors Analyzing on Supply Chain Logistics Collaboration Based on the Structural Equation Model are true and effective, reasonable and reliable, and can be used for the next analysis and research work of this paper. In addition, the process of expert interview and questionnaire survey is all anonymous, which does not involve any personal privacy and work content information leakage of the respondents, and the survey data is only used for the subject research.

Promiser: ZHANG Ruimin, YANG Xiaoying.

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Zhang, Rm., Yang, Xy. (2020). Effect Factors Analyzing on Supply Chain Logistics Collaboration Based on Structural Equation Model. In: Chien, CF., Qi, E., Dou, R. (eds) IE&EM 2019. Springer, Singapore. https://doi.org/10.1007/978-981-15-4530-6_22

Download citation

Publish with us

Policies and ethics