Research Article
Social Influence Data Analytic For Supply Chain Management in Fashion Industry
@INPROCEEDINGS{10.4108/eai.12-10-2019.2296531, author={Puspita Nurul Sabrina and Fajri Rakhmat Umbara and Herdi Ashaury}, title={Social Influence Data Analytic For Supply Chain Management in Fashion Industry}, proceedings={Proceedings of the 7th Mathematics, Science, and Computer Science Education International Seminar, MSCEIS 2019, 12 October 2019, Bandung, West Java, Indonesia}, publisher={EAI}, proceedings_a={MSCEIS}, year={2020}, month={7}, keywords={social informatics scm fashion data analytics}, doi={10.4108/eai.12-10-2019.2296531} }- Puspita Nurul Sabrina
Fajri Rakhmat Umbara
Herdi Ashaury
Year: 2020
Social Influence Data Analytic For Supply Chain Management in Fashion Industry
MSCEIS
EAI
DOI: 10.4108/eai.12-10-2019.2296531
Abstract
Supply chain management in the field of fashion is a supply chain that is interconnected from upstream which is a supplier of fashion production to the downstream who are users of fashion products. In the downstream data of customer experience is one of the concepts (use case) which avoids out of stock as a competitive advantage factor. The analytic data process involves various entities in line with the massive growth of electronic commerce and social media which provides a social influence on customer purchases. Data analysis requires relevant data and data resources of customer activities and trends and appropriate methods to produce effective knowledge for the needs of the supply chain process in the midstream and downstream. This research produces an architectural model that describes the objectives, data/data resources and relevant methods used in the analytical data process of social influence on the supply chain of the fashion industry.
