Abstract
The paper proposes seven theoretical hypotheses after firstly putting forward the composition of the shared resources of the logistics industry cluster and then analyzing theoretically the impact that the shared resources have on the competitive advantages of the logistics enterprise in logistics industry clusters. To prove these hypotheses, the researchers prepare questionnaires and collect the questionnaire data from 201 enterprises of the logistics industry clusters. In this paper, the researchers analyze these data by using such soft wares as SPSS for windows (version 17.0) and AMOS7.0, etc. and make the conclusion that location resources, brand resources, specialized division of labor and cooperation resources, supporting institutions resources and order resource have positive impacts on the competitive advantages of the logistics enterprises, while material resources are only partially supported as to their impacts on the competitive advantages for logistics companies, and collective learning and knowledge sharing resources do not have obvious impacts on the competitive advantages of logistics businesses.
This is a preview of subscription content, log in via an institution to check access.
Notes
- 1.
Because of limited space, this paper omits the EFA and CFA process.
- 2.
The standards for this paper which judge whether the path parameters support the corresponding hypothesis is: the P value of path coefficient less than 0.05 for support the hypothesis; the P value of path coefficient higher than 0.05 and less than 0.1 for partial support the hypothesis; the P value of path coefficient above 0.1 for deny the hypothesis.
References
Molina-Morales, F.X.: European industrial districts: influence of geographic concentration on performance of the firm. J. Int. Manag. 7, 277 (2007)
Geng, S.: Study on competitive advantage of firms in industrial cluster based on the shared rescource view. ZheJiang University (2005)
Tabachnick, B.G., Fidell, L.S.: Using Multivatiate Statistics. Pearson/Allyn and Bacon, Boston (2007)
Hou, J., Wen, Z.L., Cheng, Z.J., Zhang, L.: Structure Equation Model and Its Application, p. 7. Education Science Press, Beijing (2004)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 2.5 International License (http://creativecommons.org/licenses/by-nc/2.5/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
Copyright information
© 2016 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhou, R. (2016). Empirical Analysis of the Impact Which the Shared Resources Have on the Competitive Advantages of the Logistics Enterprise in Logistics Industry Clusters. In: Bian, F., Xie, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2015 2015. Communications in Computer and Information Science, vol 569. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49155-3_6
Download citation
DOI: https://doi.org/10.1007/978-3-662-49155-3_6
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-49154-6
Online ISBN: 978-3-662-49155-3
eBook Packages: Computer ScienceComputer Science (R0)