Factors Affecting Solvers To Participate In Crowdsourcing: An Empirical Study From China

With the rise of the gradual increase in Internet penetration, as well as Web2.0era ofnetwork virtual transactions, the innovative products trading has formed a new networkbusiness models. At present, researches on the crowdsourcing are so much both at homeand abroad. Crowdsourcing comprises a variety of creative contests, and its success isclosely related to the quantity and quality of solvers. The research model of factorsinfluencing the quantity and quality of solvers with respect to contest arrangementattributes and market competition situation has been developed in this paper, and themodel has been tested with data from a crowdsourcing website in China. The results showthat higher awards, easier tasks, longer duration and lower competition intensity lead to ahigher number of solvers. Higher awards, longer duration and higher difficulty level oftasks lead to higher ability level of winners, but competition intensity and market price forother competing projects do not show significant correlation with the ability level ofwinners.This paper analysis the online data of the China’s largest Witkey website,zhubajie.com, and how the project attributes settings, as well as competition environmentin the market conditions influence the number of solvers and the ability level of thewinner. The study found that when the task publisher publish a task, he often refer to asimilar task attribute which indicate the presence of a learning effect. Besides, studieshave shown that the different settings of the task release to task parameters will leadparticipants’ behavior showed great differences In addition, the study ultimately foundthat the higher task reward, the smaller the task difficulty, the task the longer term at thesame time the fewer the number of competing tasks, then the number of task turnaroundwill be more involved in tasks directly. The high reward, the longer duration and thehigher the difficulty of the task will be ultimately lead to a higher grade of the successfulbidder.Studies have shown that the number of solvers are highly relates to the factors of thetask award, duration, market competition conditions. So for a potential seeker, he can setthe award, duration and compared to other tasks, the project is more competitive whichcan help he get more work from the task. In addition, if the purpose of the seeker is to attract the "master" to participate in the task, then property settings will be different. Thisstudy will provide the platform for participants the Public Service Pack the basis forreference.