Volume 13, Issue 1
Analysis of Factors Influencing Consumers' Purchase Intention Based on Perceived Value in E-commerce Clothing Pre-sale Model

Li Suo, Rui-Chen LuGuan-Di Lin

Journal of Fiber Bioengineering & Informatics, 13 (2020), pp. 23-36.

Published online: 2020-04

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  • Abstract

The e-commerce pre-sale model for apparel is a kind of marketing method for retailers to generate actual consumption through online consumers' payment of deposits or full payments. The online apparel's re-sale model, an effective competition, can effectively reduce inventory, predict production and increase the actual profits of enterprises. Based on the perceived value of consumers, SPSS21.0 and AMOS21.0 are used to analyze the collected information, verify the hypotheses of the initial model of consumers' purchase intention under the pre-sale model, and then make modifications. The relationship among variables can be revealed and this paper explains the performance of the influence of pre-sale mode on consumers' purchase intention, by analyzing correlations among perceived benefit, perceived sacrifice and perceived value, as well as the impact on purchase intention.

  • Keywords

Pre-sale E-commerce Perceived Value Purchase Intention

  • AMS Subject Headings

  • Copyright

COPYRIGHT: © Global Science Press

  • Email address

603181613@qq.com (Li Suo)

  • BibTex
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  • TXT
@Article{JFBI-13-23, author = {Suo , Li and Lu , Rui-Chen and Lin , Guan-Di}, title = {Analysis of Factors Influencing Consumers' Purchase Intention Based on Perceived Value in E-commerce Clothing Pre-sale Model}, journal = {Journal of Fiber Bioengineering and Informatics}, year = {2020}, volume = {13}, number = {1}, pages = {23--36}, abstract = {

The e-commerce pre-sale model for apparel is a kind of marketing method for retailers to generate actual consumption through online consumers' payment of deposits or full payments. The online apparel's re-sale model, an effective competition, can effectively reduce inventory, predict production and increase the actual profits of enterprises. Based on the perceived value of consumers, SPSS21.0 and AMOS21.0 are used to analyze the collected information, verify the hypotheses of the initial model of consumers' purchase intention under the pre-sale model, and then make modifications. The relationship among variables can be revealed and this paper explains the performance of the influence of pre-sale mode on consumers' purchase intention, by analyzing correlations among perceived benefit, perceived sacrifice and perceived value, as well as the impact on purchase intention.

}, issn = {2617-8699}, doi = {https://doi.org/10.3993/jfbim00333}, url = {http://global-sci.org/intro/article_detail/jfbi/16244.html} }
TY - JOUR T1 - Analysis of Factors Influencing Consumers' Purchase Intention Based on Perceived Value in E-commerce Clothing Pre-sale Model AU - Suo , Li AU - Lu , Rui-Chen AU - Lin , Guan-Di JO - Journal of Fiber Bioengineering and Informatics VL - 1 SP - 23 EP - 36 PY - 2020 DA - 2020/04 SN - 13 DO - http://doi.org/10.3993/jfbim00333 UR - https://global-sci.org/intro/article_detail/jfbi/16244.html KW - Pre-sale KW - E-commerce KW - Perceived Value KW - Purchase Intention AB -

The e-commerce pre-sale model for apparel is a kind of marketing method for retailers to generate actual consumption through online consumers' payment of deposits or full payments. The online apparel's re-sale model, an effective competition, can effectively reduce inventory, predict production and increase the actual profits of enterprises. Based on the perceived value of consumers, SPSS21.0 and AMOS21.0 are used to analyze the collected information, verify the hypotheses of the initial model of consumers' purchase intention under the pre-sale model, and then make modifications. The relationship among variables can be revealed and this paper explains the performance of the influence of pre-sale mode on consumers' purchase intention, by analyzing correlations among perceived benefit, perceived sacrifice and perceived value, as well as the impact on purchase intention.

Li Suo , Rui-Chen Lu & Guan-Di Lin . (2020). Analysis of Factors Influencing Consumers' Purchase Intention Based on Perceived Value in E-commerce Clothing Pre-sale Model. Journal of Fiber Bioengineering and Informatics. 13 (1). 23-36. doi:10.3993/jfbim00333
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