南通大学学报（自然科学版）

互联网众包模式的出现提高了企业搜集信息的效率。基于需求导向定价理论和万有引力公式,选择任务的原始定价、任务与会员的距离以及每位会员的限购额作为企业制定平台任务价格的影响因素,研究悬赏制众包模式下任务定价的相关问题。首先,通过数据预处理剔除异常值,使用聚类分析将会员信息分成23类;其次,建立任务完成情况Logistic回归模型,发现平台任务完成情况与任务所处的纬度位置以及任务的原始定价有关;接着,选取每类数据的平均值作为研究对象,借助万有引力公式计算平台任务与会员之间的弹性因子,建立了任务定价模型;最后,通过模型计算得出当任务完成率不变时,企业所需的总成本要小于原始成本。

The emergence of the Internet crowdsourcing model has increased the efficiency of information-collecting. Based on the demand-oriented pricing theory and the universal gravitation formula, with the original price, the distance between the task and the member and the limit of each member's purchase taken as the in?uencing factors of the company's platform price, this paper aimed to study the problems of task pricing under the crowdsourcing mode. Firstly, the outliers were eliminated by data preprocessing, and the member information was divided into 23 categories by cluster analysis. Secondly, the Logistic regression model of task completion was established. It is found that the completion of the platform task is related to the latitude position of the task and the original pricing of the task. The average value of each type of data was used as the object. The gravity factor was used to determine the elasticity factor between the platform task and the member, and the task pricing model was established. The ?nal model presents the total cost required by the enterprise when the task completion rate is constant, which is less than the original cost.