Issue |
SHS Web Conf.
Volume 76, 2020
The 1st International Conference on Social Sciences and Humanities (ICSH 2019)
|
|
---|---|---|
Article Number | 01010 | |
Number of page(s) | 9 | |
DOI | https://doi.org/10.1051/shsconf/20207601010 | |
Published online | 29 April 2020 |
The Effect of its Application on Supply Chain Performance Through Green Supply Chain Management in Food and Beverage Industry in Surabaya, Indonesia
1
Business Management Program, Faculty of Business and Economics, Petra Christian University, Jl. Siwalankerto 121–131, Surabaya 60236, Indonesia
2
Dayeh University, No.168, University Rd., Dacun, Changhua 51591, Taiwan
* Corresponding author: hotlan.siagian@petra.ac.id
This study examines the effect of IT application on the supply chain performance through green supply chain management in the Food and Beverage Industry in Surabaya. Data collection is conducted using questionnaires designed with a five-point Likert scale. From 70 questionnaires distributed, 64 were considered valid for further analysis. Data analysis uses the SEM-PLS technique with SmartPLS software version 3.0. This study assesses the extent to which the corporate apply IT and adopt the green supply chain management in improving the supply chain performance. The results of this study indicate that the use of IT applications influences supply chain performance. The IT application affects the green supply chain management. Green supply chain management affects the supply chain management. One of the interesting findings is that the IT application indirectly affects supply chain performance through green supply chain management. The findings of this study provide an insight for the manager on how to improve supply chain management. This research also contributes to the on-going research in the field of supply chain management.
Key words: Efficient supply chain system / Green manufacturing / information technology application
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.