Analysis and Research on Supply Chain Optimization of e-Commerce Platform: Taking Amazon and Alibaba as Examples
Tianqi Qiu
2024
Abstract
This comparative study delves into the intricacies of supply chain optimization within the e-commerce sector, focusing on two of its giants: Amazon and Alibaba. Through a meticulous examination of their operational strategies, technological innovations, and commitment to sustainability, the paper provides a nuanced understanding of how these companies have managed to not only meet but exceed customer expectations in a highly competitive landscape. By employing a blend of case studies, literature reviews, and qualitative analyses, this research illuminates the distinct, yet effective approaches adopted by Amazon and Alibaba to navigate the complexities of the global market. Amazon's strategy, characterized by control and technological prowess, contrasts with Alibaba's collaborative and ecosystem-centric model. Furthermore, the paper explores how both companies address the growing demand for environmental sustainability, integrating green initiatives that align with consumer expectations for responsible corporate behavior. This study contributes to the academic discourse on e-commerce supply chain management and offers practical insights for businesses aiming to optimize their operations in the digital age, highlighting the importance of technology, collaboration, and sustainability as key drivers of success.
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in Harvard Style
Qiu T. (2024). Analysis and Research on Supply Chain Optimization of e-Commerce Platform: Taking Amazon and Alibaba as Examples. In Proceedings of the 1st International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI; ISBN 978-989-758-713-9, SciTePress, pages 590-596. DOI: 10.5220/0012959800004508
in Bibtex Style
@conference{emiti24,
author={Tianqi Qiu},
title={Analysis and Research on Supply Chain Optimization of e-Commerce Platform: Taking Amazon and Alibaba as Examples},
booktitle={Proceedings of the 1st International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI},
year={2024},
pages={590-596},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012959800004508},
isbn={978-989-758-713-9},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 1st International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI
TI - Analysis and Research on Supply Chain Optimization of e-Commerce Platform: Taking Amazon and Alibaba as Examples
SN - 978-989-758-713-9
AU - Qiu T.
PY - 2024
SP - 590
EP - 596
DO - 10.5220/0012959800004508
PB - SciTePress