基于前景理论的众包创新竞赛接包方任务推荐方法研究
Research on Solver Task Recommendation Method Based on Prospect Theory for Crowdsourcing Innovation Contest
摘要: 众包创新竞赛是众包平台发布任务的一种典型方式，具有广泛的开放性、创新驱动、时效性强等特点，但在众包实践中也存在参与主体不匹配、众包任务解决效率低下等问题。为了提高接包方任务决策的科学性，使接包方在众多任务中匹配到合适的任务，本文提出基于前景理论的接包方任务推荐方法。首先构建用户需求体系，将接包方需求转化为创新任务评价指标，通过熵值法并计算需求权重。在直觉模糊语言环境下引入前景理论来表达接包方在不同风险前景下的心理偏好行为，构建正、负前景矩阵，并确定各个备选任务在不同指标下的总前景值，继而计算各任务的综合前景值，根据计算结果对任务进行排序优选，最后通过猪八戒网的实证研究验证了方法的可行性和有效性。
Abstract: Crowdsourcing innovation contest is a typical way for crowdsourcing platforms to release tasks, with features such as broad openness, innovation-driven, and time-sensitive. However, there are also problems such as mismatches between participating entities and low efficiency in solving crowdsourcing tasks. In order to improve the scientificity of the task decision made by the solver and match the suitable task for the solver from many tasks, this paper proposes a task recommendation method for the solver based on prospect theory. Firstly, the user demand system is constructed, and the solver’s demand is transformed into the evaluation indicators of innovative tasks. Then, the weight of demand is calculated by using the entropy method. In the intuitionistic fuzzy linguistic environment, prospect theory is introduced to express the psychological preference behavior of the acceptor under different risk prospects, and the positive and negative prospect matrices are constructed. Then, the total prospect value of each alternative task in different indicators is determined, and the comprehensive prospect value of each task is calculated. Based on the calculation results, the tasks are sorted and selected, and finally, the feasibility and effectiveness of the method are verified through empirical research on Zhubajie.com.
文章引用：陈梦雨. 基于前景理论的众包创新竞赛接包方任务推荐方法研究[J]. 电子商务评论, 2025, 14(1): 2994-3006. https://doi.org/10.12677/ecl.2025.141376

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