The Garment Economy : Understanding History, Developing Business Models, and Leveraging Digital Technologies
Year of publication: |
2023
|
---|---|
Other Persons: | Brandstrup, Michelle (ed.) ; Dana, Leo Paul (ed.) ; Ryding, Daniella (ed.) ; Vignali, Gianpaolo (ed.) ; Caratù, Myriam (ed.) |
Publisher: |
2023.: Cham : Springer International Publishing 2023.: Cham : Imprint: Springer |
Subject: | Artificial Intelligence | Business models | Consumer behavior | Cotton industry | Fashion supply chain | History of garments business | Neuromarketing | Sustainability | Textile business | Geschäftsmodell | Business model | Bekleidungsindustrie | Clothing industry | Textilindustrie | Textile industry | Künstliche Intelligenz | Artificial intelligence | Mode | Fashion | Lieferkette | Supply chain |
Extent: | 1 Online-Ressource (XIV, 627 p. 116 illus., 102 illus. in color.) |
---|---|
Series: | |
Type of publication: | Book / Working Paper |
Language: | English |
ISBN: | 978-3-031-33302-6 ; 978-3-031-33301-9 ; 978-3-031-33303-3 |
Other identifiers: | 10.1007/978-3-031-33302-6 [DOI] |
Source: | ECONIS - Online Catalogue of the ZBW |
-
Coordination of a fashion supply chain with demand disruptions
Zhao, Tianyi, (2020)
-
Fast fashion's fate : artificial intelligence, sustainability, and the apparel industry
Kaplan, Andreas M., (2024)
-
Eco-friendly and fair : fast fashion and consumer behaviour
Becker-Leifhold, Carolin, (2018)
- More ...
-
Ryding, Daniella, (2016)
-
Ryding, Daniella, (2022)
-
Ryding, Daniella, (2015)
- More ...