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.
CITATION STYLE
Nan, Y., Liu, Y., Shen, J., & Chai, Y. (2017). A study on MCIN model in intelligent clothing industry. International Journal of Crowd Science, 1(2), 133–145. https://doi.org/10.1108/IJCS-08-2017-0019
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