Rinaldi / Bandinelli Business Models and ICT Technologies for the Fashion Supply Chain

Proceedings of IT4Fashion 2017 and IT4Fashion 2018
1. Auflage 2018
ISBN: 978-3-319-98038-6
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 525, 179 Seiten, eBook

Reihe: Lecture Notes in Electrical Engineering

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 7

th

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 8

th

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 technologiesapplied to the fashion industry, with the aim of increasing knowledge in the area of product lifecycle management and supply chain management in that industry.

Zielgruppe

Research

Autoren/Hrsg.

Rinaldi, Rinaldo

Bandinelli, Romeo

Inhaltsverzeichnis

1;Preface;6
2;Contents;9
3;NPD and Product Lifecycle in the Fashion Industry;11
4;1 News Approaches (Insights) to NPD on the Fashion Segment: The Power of Social Networks and the System See Now Buy Now;12
4.1;1.1 Introduction;12
4.2;1.2 Literature Review;14
4.2.1;1.2.1 See Now Buy Now;14
4.2.2;1.2.2 New Product Development;17
4.3;1.3 Hypothetical NPD in SNBN;20
4.4;1.4 Final Considerations;21
4.5;References;22
5;2 When Product Development Meets Luxury: A Case Study Analysis in Fashion, Food and Furniture Companies;24
5.1;2.1 Introduction;24
5.2;2.2 Literature Review;26
5.3;2.3 Methodology;27
5.4;2.4 Results;28
5.5;2.5 Discussion;31
5.6;2.6 Conclusions and Further Developments;32
5.7;References;32
6;3 Big Data Analysis Techniques for Supporting Product Lifecycle Management in the Fashion Industries;34
6.1;3.1 Introduction;34
6.2;3.2 The Role of Big Data Analytics in Fashion New Product Development Process;35
6.2.1;3.2.1 New Product Development Process Analysis;35
6.2.2;3.2.2 Big Data Analytics Methods;35
6.3;3.3 Methodology;38
6.4;3.4 Results;39
6.4.1;3.4.1 Sentiment Analysis;39
6.4.2;3.4.2 Visual Sentiment Analysis;40
6.4.3;3.4.3 Video Analytics;41
6.4.4;3.4.4 Geospatial Analysis;41
6.5;3.5 Conclusions;42
6.6;References;43
7;Social Media and Data Analysis in the Fashion Industry;44
8;4 Fashion #MadeinItaly: What Do You Mean?;45
8.1;4.1 Introduction;46
8.2;4.2 Literature Review;46
8.2.1;4.2.1 Country of Origin;46
8.2.2;4.2.2 User-Generated Contents;48
8.3;4.3 Methodology;49
8.4;4.4 Main Findings;52
8.4.1;4.4.1 Instagram Analysis;52
8.4.2;4.4.2 Survey;54
8.5;4.5 Discussion;56
8.6;4.6 Limitation and Future Research;56
8.7;References;57
9;5 Community Based Social Media Fashion Branding: Do Fashion Brands Heritage and Prestige Affect Consumers’ Brand Loyalty Intention?;60
9.1;5.1 Introduction;61
9.2;5.2 Fashion Brands Heritage and Prestige and Social Media Brand Community Based Branding Strategies;61
9.2.1;5.2.1 The Emerging Importance of Social Media Brand Communities in Online Branding;62
9.2.2;5.2.2 Fashion Brands Heritage and Prestige in Community Based Social Media Fashion Branding;63
9.3;5.3 Proposed Conceptual Model and Hypotheses;65
9.4;5.4 Method;66
9.5;5.5 Results;67
9.6;5.6 Conclusion, Managerial Implication and Suggestion for Future Researches;69
9.7;References;70
10;6 Fast-Fashion: Fast Enough to Satisfy Adolescent Girls’ Expectations from Their Clothing;73
10.1;6.1 Introduction;73
10.2;6.2 Literature Survey;74
10.3;6.3 Methodology;75
10.4;6.4 Results and Discussion;76
10.4.1;6.4.1 Shopping Habits;76
10.4.2;6.4.2 Fitting Issues of the Adolescent Girls;77
10.4.3;6.4.3 Brand Awareness of the Adolescent Girls;80
10.5;6.5 Conclusions;81
10.6;References;82
11;7 A Meta-Model for Fashion Retail Category Sales Forecasting;84
11.1;7.1 Introduction;84
11.2;7.2 Forecasting Models;86
11.2.1;7.2.1 Linear Regression;86
11.2.2;7.2.2 Data Structure;87
11.2.3;7.2.3 Seasonality;87
11.2.4;7.2.4 Seasonal Pattern Based;87
11.2.5;7.2.5 Time Series;89
11.2.6;7.2.6 Neural Networks;91
11.3;7.3 The Meta-Model;92
11.3.1;7.3.1 Pre-processing;92
11.3.2;7.3.2 Models Evaluation;93
11.3.3;7.3.3 Creation of the Final Model;94
11.4;7.4 Results;95
11.5;7.5 Conclusions and Further Developments;97
11.6;References;98
12;8 Resilience in the Fashion Industry Supply Chain: State of the Art Literature Review;99
12.1;8.1 Introduction;99
12.2;8.2 Research Approach;101
12.3;8.3 Results;102
12.4;8.4 Factors Influencing Supply Fashion Supply Chain Resilience;103
12.4.1;8.4.1 Factors Research;104
12.4.2;8.4.2 Concept Taxonomy;107
12.5;8.5 Conclusion;107
12.6;References;110
13;9 Fast Fashion Retail: Dynamic Sub-models for Replenishment and Assortment Problem;113
13.1;9.1 Introduction;114
13.2;9.2 Literature Survey;114
13.3;9.3 The Problem Definition and Model Formulation;115
13.3.1;9.3.1 The Problem Definition;115
13.3.2;9.3.2 The Model Formulation;115
13.3.3;9.3.3 The Framework Forecast KPIs;124
13.4;9.4 Model Validation and Results;124
13.4.1;9.4.1 Data Instances Description;124
13.4.2;9.4.2 Experimental Results and Model Discussion;124
13.5;9.5 Conclusion and Perspectives;126
13.6;References;127
14;10 Digital Fashion Competences: Market Practices and Needs;129
14.1;10.1 Introduction;129
14.2;10.2 Background;130
14.2.1;10.2.1 Digital Fashion;130
14.2.2;10.2.2 Methodology;132
14.2.3;10.2.3 Research Results;133
14.3;10.3 Conclusion;137
14.3.1;10.3.1 Limitations and Future Research;137
14.4;References;138
15;Standards and IOT Technologies for the Fashion Industry;140
16;11 eBusiness Standards and IoT Technologies Adoption in the Fashion Industry: Preliminary Results of an Empirical Research;141
16.1;11.1 Introduction;142
16.2;11.2 State of the Art;143
16.2.1;11.2.1 eBIZ Initiative;143
16.2.2;11.2.2 RFId Technology;144
16.3;11.3 The European Project eBIZ 4.0;145
16.4;11.4 Objective and Methodology;146
16.4.1;11.4.1 Survey Description;146
16.4.2;11.4.2 Sample Description;147
16.5;11.5 Results;148
16.6;11.6 Conclusion;150
16.7;References;151
17;12 Dual Frequency Tag Performances in the Fashion Industry;153
17.1;12.1 Introduction;154
17.2;12.2 Literature Review;155
17.3;12.3 Materials and Methods;156
17.3.1;12.3.1 EPC Tests;156
17.3.2;12.3.2 NFC Tests;158
17.4;12.4 Conclusions;161
17.5;References;164
18;Sustainability in Fashion;166
19;13 Sustainability Certifications and Labels for the Fashion Industry: Selection Guidelines;167
19.1;13.1 Sustainability and Fashion;167
19.2;13.2 Research Approach;168
19.3;13.3 Sustainability-Related Certifications for the Fashion Supply Chain;169
19.4;13.4 Certifications and Labels Addressing Products;170
19.5;13.5 Certifications and Labels Addressing Processes;171
19.6;13.6 Classification Dimensions;172
19.7;13.7 Developing Selection Guidelines;173
19.8;13.8 Managerial Implications;176
19.9;13.9 Conclusions and Next Steps;176
19.10;References;177
20;Author Index;178