Abstract
Pollution generated by the fashion industry drives people to pay attention to fashion companies’ sustainability practice. This increase in attention has induced vast literature studying the related area. Since the fashion apparel supply chain is complicated which involves a lot of interrelated steps and decisions, how fashion companies can identify the demand in sustainable fashion and make the right decision in resource allocation throughout the supply chain becomes a critical issue. As a result, this paper examines how a fashion company can develop a successful sustainable planning strategy throughout the sustainable fashion supply chain. The sustainability attributes and the sustainable planning strategy mechanism are also discussed. Based on the institutional theory and resource-based theory, we first analyse the external pressure and internal motivations for companies to adopt a sustainable planning strategy in the fashion supply chain. We then identify the core stakeholders related to the sustainable planning strategy and propose how the decision-making theory can help develop the sustainable supply chain management mechanism. Next, we establish a sustainable planning strategy framework. Finally, via a case study with public data on the fashion giant brand Nike, we explore the application of our proposed sustainable planning strategy framework. The finding suggests that the strategic planning of fashion companies on sustainability can improve the performance of the stakeholders throughout the whole sustainable fashion supply chain.
Original language | English |
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Pages (from-to) | 883-902 |
Number of pages | 20 |
Journal | Production Planning and Control |
Volume | 31 |
Issue number | 11-12 |
DOIs | |
Publication status | Published - 9 Sept 2020 |
Keywords
- case study
- fashion company
- operations management theories
- sustainable planning strategy
- Sustainable supply chain management
- triple bottom line
ASJC Scopus subject areas
- Computer Science Applications
- Strategy and Management
- Management Science and Operations Research
- Industrial and Manufacturing Engineering