Analysis of Space Crowdsourcing Mission Completion Based on Logistic Regression Model

An important impetus to rapid development of crowdsourcing platform is the analysis on driving force of its task completion. It guides enterprises to carry out strategic adjustment. This paper used geographic data visualization software to qualitatively analyze the impact of driving factors on task completion, utilized Logistic Regression Model to deeply analyze the causes of task failure from a geographic perspective. Results showed that the task completion is composed of customer and task, which are greatly affected by the regional task pricing and the number of regional customers. Therefore, the companies should improve the enthusiasm of customers and explore the task pricing strategies of different regions based on regional consideration of pricing.