众包
计算机科学
软件部署
功能(生物学)
质量(理念)
质量功能配置
决策支持系统
数据挖掘
软件工程
业务
万维网
进化生物学
生物
新产品开发
哲学
认识论
营销
作者
Xuefeng Zhang,Jiafu Su,Enrique Herrera‐Viedma
标识
DOI:10.1016/j.eswa.2022.117308
摘要
• Estimate participation-oriented designs in terms of activation of solver motives. • Develop a two-phase QFD model to connect the designs to incentives and solver motives. • Propose a combined fuzzy Delphi method, fuzzy BWM, and fuzzy DEMATEL method. • The fuzzy BWM is employed to determine the relationship weightings in the QFD. The designs presented in crowdsourcing platforms for supporting, facilitating, and regulating solvers’ behaviors have significantly effect on solvers’ decision to participate. To estimate those important designs, referred to as participation-oriented designs in this study, a decision support model is developed based on quality function deployment (QFD). This model connects participation-oriented designs to solvers’ motives through the matched incentives, ensuring the estimated designs could activate solvers’ motives most. Specifically, the relations among these three aspects are represented by two house of quality (HoQ) models in which one links solver motives and incentives and the other connects the incentives and participation-oriented designs. Moreover, a combination of the fuzzy Delphi method (FDM), fuzzy Best-Worst method (BWM), and fuzzy Decision Making Trial and Evaluation Laboratory Model (DEMATEL) is developed to handle information in these two HoQ models. Therein, the FDM is employed to screen and map solver motives, incentives, and participation-oriented designs. The fuzzy BWM is used to determine the relationship weights between solver motives and incentives and incentives and participation-oriented designs respectively. The fuzzy DEMATEL is employed to describe and calculate the inner dependencies of incentives and participation-oriented designs respectively. A case of the crowdsourcing platforms for graphic design contests is presented to demonstrate the effectiveness and practicability of the proposed model.
科研通智能强力驱动
Strongly Powered by AbleSci AI