Business models and ICT technologies for the fashion supply chain : proceedings of IT4Fashion 2017 and IT4Fashion 2018 / [edited by] Rinaldo Rinaldi, Romeo Bandinelli.
Material type: TextSeries: Lecture Notes in Electrical Engineering ; 525Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Edition: 1st ed. 2019Description: 1 online resource (X, 180 pages 50 illustrations, 37 illustrations in color.)Content type:- text
- computer
- online resource
- 9783319980386
- Application software
- Business logistics
- E-business
- E-commerce
- Electrical engineering
- Electronic commerce
- Engineering economy
- Engineering Economics, Organization, Logistics, Marketing
- Communications Engineering, Networks
- e-Business/e-Commerce
- Information Systems Applications (incl. Internet)
- Supply Chain Management
- 658.5 23
Item type | Current library | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|
E-Resources | Main Library E-Resources | 658.5 B979 (Browse shelf(Opens below)) | Available | E003708 |
This book presents high-quality original contributions on the fashion supply chain. A wide spectrum of application domains are covered, processing of big data coming from digital and social media channels, fashion new product development, fashion design, fashion marketing and communication strategy, business models and entrepreneurship, e-commerce and omni-channel management, corporate social responsibility, new materials for fashion product, wearable technologies. The contents are based on presentations delivered at IT4Fashion 2017, the 7th International Conference in Business Models and ICT Technologies for the Fashion Supply Chain, which was held in Florence, Italy, in April 2017, and at IT4Fashion 2018, the 8th edition of the same conference, which was held in Florence, Italy, in April 2018. This conference series represents a targeted response to the growing need for research that reports and debates supply chain business models and technologies applied to the fashion industry, with the aim of increasing knowledge in the area of product lifecycle management and supply chain management in that industry.
Description based on publisher-supplied MARC data.
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