Operations Management in the Era of Fast Fashion: Technologies and Circular Supply Chains

Preface
Contents
Contributors
Part I Introduction and Exploratory Studies
1 Sustainable Operations Management in Fast Fashion Era: An Introduction
	1.1 Introduction
	1.2 Exploratory Studies
	1.3 Intelligent Fast Fashion Demand Forecasting
	1.4 Multi-methodological Research, Reviews, and Research Agenda
	References
2 Sustainability in Fast Fashion Era: The Jan ‘N June Case
	2.1 Introduction
		2.1.1 Sustainability in Fast Fashion Era: Thematisation of the Problem
		2.1.2 Sustainability in Fast Fashion Era: Research Objectives and Methodology
	2.2 Case Study: Jan ‘N June
		2.2.1 The Company: An Overview
		2.2.2 Sustainable Materials
		2.2.3 Recycling
		2.2.4 Bringing Environmental Sustainability with Social Commitment
		2.2.5 Packaging
		2.2.6 Supply Chain Transparency
		2.2.7 Other Sustainable Practices
	2.3 Conclusion
	Appendix
	References
3 Sustainable Practices in Fast Fashion
	3.1 Introduction
	3.2 Sustainable Fashion Design
		3.2.1 Design from the Waste
		3.2.2 Zero Waste Design
		3.2.3 Design with Second Hand and Recycling
	3.3 Sustainable Raw Materials and Production
	3.4 Sustainable Brick and Mortar Store Design
	3.5 Fast Fashion Sharing Platforms
	3.6 Sustainable Labels and Packaging
	3.7 Sustainable Marketing Campaigns in Fast Fashion
	3.8 Discussions
	References
Part II Intelligent Fast Fashion Demand Forecasting
4 Fast Fashion Demand Forecasting Models: A Comparative Study
	4.1 Introduction
	4.2 Analytical Models
		4.2.1 Statistical Panel Data-Based Models
		4.2.2 Extreme Learning Machine
		4.2.3 Grey Model Based
		4.2.4 Analysis and Comparisons
	4.3 Interval Forecasting
		4.3.1 Panel Data-Based Interval Forecasting
		4.3.2 ELM-Based Interval Forecasting
	4.4 Case Studies and Comparison Analysis
		4.4.1 Datasets
		4.4.2 Experimental results and analysis
	4.5 Conclusion
	References
5 Impact of Search Index on Fashion Demand Forecasting—Panel Data-Based Analysis
	5.1 Introduction
	5.2 Literature Review
		5.2.1 Fashion Demand Forecasting
		5.2.2 Impact of Search Index on Demand Forecasting
	5.3 Fashion Demand Data and Search Index for Fashion Demand Forecasting
		5.3.1 Fashion Demand Data
		5.3.2 Search Index
	5.4 SIPD Model for Fashion Demand Forecasting
		5.4.1 Panel Data
		5.4.2 Establishment of SIPD Model
	5.5 Case Study
		5.5.1 Model Estimation
		5.5.2 Study the Impact of the Search Index on the Fashion Demand Forecasting
		5.5.3 Sensitivity Analysis
	5.6 Conclusion
	References
Part III Theoretical Modelling Research, Reviews, and Research Agenda
6 Optimal Pricing, Green Advertising Effort and Advanced Technology Investment in Sustainable Fashion Supply Chain Management
	6.1 Introduction
		6.1.1 Background and Motivation
		6.1.2 Contribution Statement and Structure
	6.2 Literature Review
		6.2.1 Technology-Driven Sustainable Supply Chain Management
		6.2.2 Green Advertising in a Circular Supply Chain
	6.3 Crystal International Group Limited
		6.3.1 Advanced Washing and Laser Technologies
		6.3.2 Waste Recycling Technologies
		6.3.3 Energy Saving Technologies
	6.4 Model Development
	6.5 Conclusion
	Appendix—All Proofs
	References
7 The Multi-Methodological Approach for Sustainable Operations Management in Fashion
	7.1 Introduction
	7.2 Different Research Methods
	7.3 Why Multi-methodological Research for Fashion SOM?
	7.4 Examples of Multi-methodological SOM Research
		7.4.1 The TAM-QLE Approach
		7.4.2 The QLE-QTE Approach
		7.4.3 The TAM-QTE Approach
	7.5 What’s Next? Future Multi-methodological SOM Research
		7.5.1 New Methods
		7.5.2 New Areas
	7.6 Concluding Remarks
	References
8 Overview and Research Agenda for Sustainable Operations Management in Fast-Fashion Era
	8.1 Fast-Fashion Industry—From Linear to Circular
	8.2 Circular Supply Chain Management
		8.2.1 Advanced Technology
		8.2.2 Customer Involvement
		8.2.3 Collaborative Strategy
		8.2.4 Government Policy and Support
	8.3 Conclusion Remarks and Future Research Directions
	References