scholarly journals Research on Innovation supply chain Management in Fast Fashion Industry——A comparative analysis of ZARA and H&M

Author(s):  
Chen Xuejie ◽  
Qiao Chang ◽  
Zhu GuangHao
2020 ◽  
Vol 48 (6) ◽  
pp. 537-553
Author(s):  
Lucas Ramos Camargo ◽  
Susana Carla Farias Pereira ◽  
Marcia Regina Santiago Scarpin

PurposeThe aim of this study is to identify and analyse the main strategic differences between fast and ultra-fast fashion supply chain management.Design/methodology/approachThis study uses a qualitative approach, using document analysis and in-depth interviews with industry specialists.FindingsUltra-fast fashion differs from fast in the following supply chain strategies: avoids any excess inventory, focuses on local manufacturing, on-demand production, and shorter lead times from a few days to a week with a combination of agile, lean, responsive supply chain strategies.Research limitations/implicationsThe limitations of this research are due to the cut-off period and the use of a restricted sample. As implications, technological capabilities are underexplored in the fashion industry. Although important to the traditional and fast fashion industry, technology is viewed as a tool and not as a capability that can generate competitive advantage. This paper addresses technology as capabilities to make ultra-fast fashion retailers more competitive.Practical implicationsUltra-fast fashion could potentially impact current fast fashion retailers to partially move their business model and operations towards an ultra-fast approach. Fast fashion retailers desiring to speed up their production processes launch more weekly collections to cater to consumers who are more fashion-conscious.Originality/valueThere is a rapid emergence of new start-ups that are calling themselves ultra-fast. Newcomers wanting to adopt this new segment’s business model, develop technological capabilities to meet the challenges of this supercompetitive market.


2019 ◽  
pp. 5-10
Author(s):  
N. Yu. Barkova

The prospect of use of digital technologies in supply chain management companies of the fashion industry has been considered. It has been revealed, that digital technologies are actively applied at various stages of logistic process in the companies of this industry. Classification of such digital technologies has been carried out and the most perspective directions for use in the companies of fashion industry have been highlighted, among which it is possible to call: 3D printing technology, technology of virtual fitting room, clever mirrors technology and others. It has been substantiated, that use and implementation of the information-communicative technologies, is one of the most perspective directions of development of digitalization in supply chain management and logistics.


Author(s):  
Ivan Russo ◽  
Ilenia Confente ◽  
David Gligor ◽  
Nicola Cobelli

PurposeThe purpose of this paper is to introduce qualitative comparative analysis (QCA) to the field of supply chain management and provide a detailed roadmap that supply chain researchers can utilize when applying this methodology.Design/methodology/approachData collection focused on the evaluation of product returns management practices as perceived by business customers who operate in a supplier–customer context. In order to analyze the data using the QCA approach, a multi-step analysis was developed.FindingsThe results indicate five solutions that lead to high levels of customer satisfaction. The existence of multiple sufficient configurations for customer satisfaction indicates equifinality because multiple alternative solutions can lead to the same outcome.Research limitations/implicationsThe authors make a methodological contribution by applying the QCA method to the field of supply chain management and providing a detailed roadmap that supply chain researchers can utilize.Practical implicationsThe authors provide managers five different and novel combinations of antecedents that lead to higher levels of customer satisfaction.Originality/valueThis study offers supply chain researchers a better understanding of when it is appropriate to use QCA and how to apply this methodology. From a theoretical perspective, past studies focused exclusively on the “net effects” of these antecedents, thus, did not capture the complexity of the relationships between these various antecedents and customer satisfaction. This is a noteworthy contribution as it highlights the complexity of the amalgam of relationships and factors that impact customer satisfaction within the context of reverse supply chain.


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