文章基本信息

标题：The Analysis and Optimization of Personalized Customization Model of Crowdsourcing Based on GSPN
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作者：Zhang Yaoqi ; Li Yang ; Wang Lubin 等
期刊名称：International Journal of Multimedia and Ubiquitous Engineering
印刷版ISSN：1975-0080
出版年度：2016
卷号：11
期号：6
页码：411-426
DOI：10.14257/ijmue.2016.11.6.37
出版社：SERSC
摘要：The development and customization of new products in crowdsourcing is an important crowdsourcing theory application issue. But as a new business model, there are usually low efficiency, poor effect in the process of enterprises, and in practical application and the combination of businesses. This paper proposes the generalized stochastic Petri net (GSPN) theory in the modeling and performance analysis in crowdsourcing business model, and assesses effectively about the overall model's time performance and operation efficiency, which has been verified and optimized by 24% in an example. This paper starts from crowdsourcing contest business model to optimize the process and the frame of crowdsourcing through quantitative analysis results, so as to provide a reference for the decision-making party of the business model.
关键词：Crowdsourcing; GSPN; Personalized Customization; Crowdsourcing ; contest; Time efficiency; Performance Analysis