Analysis of the influencing mechanism of solvers’ participation behavior based on the WSR System Approach

• Published in: Electronic commerce research 2022-12, Vol.24 (4), p.2209-2237
• Main Authors: Gao, Suying, Jin, Xiangshan
• Format: Article
• Language: English
• Subjects: Business and Management; Computer Communication Networks; Data analysis; Data Structures and Information Theory; e-Commerce/e-business; Impact analysis; IT in Business; Operations Research/Decision Theory; Regression analysis; Solvers
• ISSN: 1389-5753; 1572-9362
• DOI: 10.1007/s10660-022-09645-6

As an innovative new model, emerging crowdsourcing has garnered significant user attention. We introduce the Wuli−Shili−Renli (WSR) approach and investigate the factors that affect solvers’ participation behavior to increase user stickiness. Using Python, we analyzed the task data of EPWK.com over the past 10 years to capture valid user data on the platform, finally obtaining 44,729 tasks through cleaning. Then, we performed regression analysis using ordinary least squares (OLS) and robustness testing using Poisson regression analysis. The findings revealed that the seeker’s experience and capability exerted a negative impact on the solvers’ participation number but a positive impact on the solvers’ overall capability. In addition, the seeker’s information disclosure exerted a moderating effect due to the auditing and trust effects. Besides, the task description and task salary had an inverted U-shaped effect on the solvers’ participation number, and the task salary had an inverted U-shaped effect on the solvers’ overall capability. The contributions of this study include expanding the theoretical application boundary of the WSR approach in the field of information management and providing suggestions for bilateral users and the interface design of the platform through the information disclosure strategy.