The New Venture Survival: Garment Customization Enterprises-Taking SAINT ANGELO Inc. as an Example
- DOI
- 10.2991/assehr.k.200826.110How to use a DOI?
- Keywords
- Survival of enterprises, Garment Customization Enterprises, O2O, networking, intelligent technology
- Abstract
With the development of the Internet and technology, there are many problems in the traditional clothing enterprises that are facing a crisis of survival. Therefore, the defects of the traditional garment companies are proposed at first. Then, how the SAINT ANGELO fashion brand successfully survived and brought more enterprises the probability of success is studied. To do this study, literature research method and case analysis are adopted in this research. According to the results of this research, the traditional clothing companies cannot survive due to the lack of clear value proposition, channel integration and advanced technology. Besides, the success of SAINT ANGELO Inc. shows that the accurate value proposition helps it produce right products conforming customers’ value concept. In addition, the high brand awareness helps it obtain the industrial chain resources. Moreover, the switch from online to offline gives full play to the advantages of the Internet and breaks the traditional service system. Furthermore, the intelligent factories are useful to increase production efficiency and sales volume, and the big data cloud center is used to obtain unavailable customer information and feedback.
- Copyright
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yuting Zeng PY - 2020 DA - 2020/08/28 TI - The New Venture Survival: Garment Customization Enterprises-Taking SAINT ANGELO Inc. as an Example BT - Proceedings of the 2020 4th International Seminar on Education, Management and Social Sciences (ISEMSS 2020) PB - Atlantis Press SP - 552 EP - 557 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.200826.110 DO - 10.2991/assehr.k.200826.110 ID - Zeng2020 ER -