Journal article
Customer demand analysis of the electronic commerce supply chain using Big Data
Annals of operations research, Vol.268(1), pp.113-128
09/2018
Handle:
https://hdl.handle.net/2376/114162
Abstract
With the advent of the Internet and the flourishing of connected technology, electronic commerce has become a new business model that disrupts the traditional transactional model and is transforming the consumer’s lifestyle. Electronic commerce leads to constantly changing customer needs, therefore quick action and collaboration between production and the market is essential. Meanwhile, the abundant transactional data generated by electronic commerce allows us to explore browsing behaviors, habits, preferences and even characteristics of customers, which can help companies to understand their customer’s needs more clearly. Traditional supply chain management (SCM) simply cannot keep up with electronic commerce because demand forecasts are constantly changing. Customer demands create and affect the whole supply chain. The purpose of SCM is to satisfy the customers who support the company by paying for the products; so meeting changing customer needs should be incorporated into SCM by developing demand chain management (DCM). In this paper, we explore how DCM can perform better in the electronic commerce environment based on studying website behavior data and using data analytics tools. The results show that DCM performs much better when paired with the benefits of electronic commerce and Big Data than traditional SCM methods.
Metrics
15 Record Views
Details
- Title
- Customer demand analysis of the electronic commerce supply chain using Big Data
- Creators
- Lei Li - 0000 0004 1761 2484 grid.33763.32 School of Management and Economics Tianjin University 92, Weijin Road Nankai District Tianjin ChinaTing Chi - 0000 0004 1761 2484 grid.33763.32 School of Management and Economics Tianjin University 92, Weijin Road Nankai District Tianjin ChinaTongtong Hao - 0000 0004 1761 2484 grid.33763.32 School of Management and Economics Tianjin University 92, Weijin Road Nankai District Tianjin ChinaTao Yu - Mmdata Marketing Company Building 1, Longxi Road Changning District, Shanghai China
- Publication Details
- Annals of operations research, Vol.268(1), pp.113-128
- Academic Unit
- Apparel, Merchandising, Design and Textiles, Department of
- Publisher
- Springer US; New York
- Grant note
- 2013XS- 0039 / the Independent Innovation Foundation of Tianjin University 71203153 / the National Natural Science Foundation of China
- Identifiers
- 99900548300701842
- Language
- English
- Resource Type
- Journal article