Research on Supply Chain Information Collaboration and Performance based on Inter-organizational Information System

Yaqing Zhang, Syed Abdullah

2022

Abstract

In China’s market environment, more and more enterprises use inter-organizational information system to make information flow across organizational boundaries. It can strengthen the cooperation between organizations and win strategic competitive advantages for enterprises. Supply chain management is one of the most important parts. Therefore, this article starts from the main functional direction of big data technology, analyzes the impact of big data system on the information aggregation ability and information extraction level of supply chain enterprises, adopts Likert five-point scale to measure supply chain performance, and proves through empirical evidence. It is verified that the ability of information aggregation and the level of information extraction have a significant positive impact on the performance of the supply chain. Finally, the study will present a comprehensive framework to deal with the supply chain performance of Chinese enterprises and a modest addition to the supply chain performance literature concerning strategies for elevating supply chain performance in the Chinese enterprises. It aims to provide inspiration for Chinese managers and organizations to cope with the escalating challenges.

Paper Citation

in Harvard Style

Zhang Y. and Abdullah S. (2022). Research on Supply Chain Information Collaboration and Performance based on Inter-organizational Information System. In Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM, ISBN 978-989-758-593-7, pages 900-905. DOI: 10.5220/0011356800003440

in Bibtex Style

@conference{bdedm22,
author={Yaqing Zhang and Syed Abdullah},
title={Research on Supply Chain Information Collaboration and Performance based on Inter-organizational Information System},
booktitle={Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,},
year={2022},
pages={900-905},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011356800003440},
isbn={978-989-758-593-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,
TI - Research on Supply Chain Information Collaboration and Performance based on Inter-organizational Information System
SN - 978-989-758-593-7
AU - Zhang Y.
AU - Abdullah S.
PY - 2022
SP - 900
EP - 905
DO - 10.5220/0011356800003440