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Research paper | Open Access

A study on MCIN model in intelligent clothing industry

Yixuan Nan( ), Yi Liu, Jianping Shen, Yueting Chai
Department of Automation, Tsinghua University, Beijing, China
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Abstract

Purpose

This paper aims to study the material conscious information network (MCIN) to present new models of clothing products and persons and propose new crowd-designing patterns to reconstruct an improved supply–demand relationship in clothing industry.

Design/methodology/approach

This paper aims to study the MCIN to present new models of clothing products and persons and propose new crowd-designing patterns to reconstruct an improved supply–demand relationship in clothing industry.

Findings

At last, this paper implements a prototype system of novel e-commerce platform based on the CDCI to illustrate the effectiveness and soundness of the CDCI modeling.

Originality/value

Different from most related works just focusing on the physiology dimension in the matching of customer and clothing, this paper proposes that the dimension of physiology, character, knowledge and experience should be synthetically considered.

Keywords

E-commerceCrowd-designing clothing industryMCIN modelSupply–demand relationship

References

 

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Shen, J., Huang, Y., Huang, Y. and Chai, Y. (2017), “A cyber-anima-based model of material conscious information network”, International Journal of Crowd Science, Vol. 1 No. 1, pp. 9-25.
Crossref Google Scholar
International Journal of Crowd Science
Volume 1 Issue 2,
June 2017
Pages 133-145
DOI: 10.1108/IJCS-08-2017-0019
Cite this article:
Nan Y, Liu Y, Shen J, et al. A study on MCIN model in intelligent clothing industry. International Journal of Crowd Science, 2017, 1(2): 133-145. https://doi.org/10.1108/IJCS-08-2017-0019

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Received: 17 August 2017
Revised: 27 August 2017
Accepted: 28 August 2017
Published: 12 June 2017
© The author(s)

Yixuan Nan, Yi Liu, Jianping Shen and Yueting Chai. Published in International Journal of Crowd Science. Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode
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