Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)

The Empirical Study on the Factors Affecting E-logistics System in Chinese Logistics Industry

Authors
Yu Liu
Corresponding Author
Yu Liu
Available Online June 2016.
DOI
10.2991/mecs-17.2017.156How to use a DOI?
Keywords
The Empirical Study, E-logistics System, TAM ,Chinese Logistics Industry
Abstract

This research designs the research model and tests it based on the Theory Acceptance Model. The five key factors (Reliability, Maintainability, Software, Facility and Transportation) are related with E-logistics system as independent variables. The results of this study confirm that the E-logistics systems are affected by Reliability,Maintainability, Facility and Transportation. This research provides some useful theoretical implication and practical guidelines for the development of E-logistics System in Chinese logistics industry.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)
Series
Advances in Engineering Research
Publication Date
June 2016
ISBN
10.2991/mecs-17.2017.156
ISSN
2352-5401
DOI
10.2991/mecs-17.2017.156How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yu Liu
PY  - 2016/06
DA  - 2016/06
TI  - The Empirical Study on the Factors Affecting E-logistics System in Chinese Logistics Industry
BT  - Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)
PB  - Atlantis Press
SP  - 337
EP  - 343
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecs-17.2017.156
DO  - 10.2991/mecs-17.2017.156
ID  - Liu2016/06
ER  -