Material incentive is the main motivation for solvers to attend crowdsourcing tasks.So raising the bidding success rate is benefit to inspire the solvers attendance’and increase the answering quality.This paper analy...Material incentive is the main motivation for solvers to attend crowdsourcing tasks.So raising the bidding success rate is benefit to inspire the solvers attendance’and increase the answering quality.This paper analyzes the effect of participation experience,task-fit capability,participation strategy and task attribute on the solvers bidding success by the solvers attending the series tasks of Tripadvisor.The results show that:1)Participation times enrich the participation experiences and promote the bidding success,while bidding success times and last performances lower the bidding success because of the cognitive fixation;2)The chance of bidding success will be increase when the solver own high task-fit capability;3)The relationship between task submit sequence and bidding success is the type of reverse U shape,and the optimal submit sequence rate on the top of the reverse U shape;4)Higher task difficulty lower bidding success,while higher task density easier bidding success.展开更多
The mobile search, a combination of a web search engine and a mobile communication system, is viewed as the most influential application in the 3G era. Therefore, mobile search service providers are eager to know whic...The mobile search, a combination of a web search engine and a mobile communication system, is viewed as the most influential application in the 3G era. Therefore, mobile search service providers are eager to know which factors most influence user acceptance of mobile searches. Based on the characteristics of mobile searches and a review of previous information technology acceptance research, this study integrates the task technology fit model and the unified theory of acceptance and use of technology model to develop a mobile search acceptance model and empirically tests this model. This study finds that, for mobile searches, the performance expectancy, social influence, and perceived cost all significantly influence use intention and the performance expectancy increases with the increasing user＇s experience and higher tasktechnology fit degree. The effort expectancy is found to not affect the use intention of mobile searches and the users＇ gender does not have a significant moderating effect on the use intention. The results are then used to develop suggestions for mobile search providers to promote their application and development.展开更多
基金Supported by National Social Science Foundation of China(17CGL019).
文摘Material incentive is the main motivation for solvers to attend crowdsourcing tasks.So raising the bidding success rate is benefit to inspire the solvers attendance’and increase the answering quality.This paper analyzes the effect of participation experience,task-fit capability,participation strategy and task attribute on the solvers bidding success by the solvers attending the series tasks of Tripadvisor.The results show that:1)Participation times enrich the participation experiences and promote the bidding success,while bidding success times and last performances lower the bidding success because of the cognitive fixation;2)The chance of bidding success will be increase when the solver own high task-fit capability;3)The relationship between task submit sequence and bidding success is the type of reverse U shape,and the optimal submit sequence rate on the top of the reverse U shape;4)Higher task difficulty lower bidding success,while higher task density easier bidding success.
基金Supported by the National Natural Science Foundation of China(Nos. 70831003, 70890081, and 70772022the MOE Project of Key Research Institute of Humanity and Social Sciences at Universities (06JJD630014)
文摘The mobile search, a combination of a web search engine and a mobile communication system, is viewed as the most influential application in the 3G era. Therefore, mobile search service providers are eager to know which factors most influence user acceptance of mobile searches. Based on the characteristics of mobile searches and a review of previous information technology acceptance research, this study integrates the task technology fit model and the unified theory of acceptance and use of technology model to develop a mobile search acceptance model and empirically tests this model. This study finds that, for mobile searches, the performance expectancy, social influence, and perceived cost all significantly influence use intention and the performance expectancy increases with the increasing user＇s experience and higher tasktechnology fit degree. The effort expectancy is found to not affect the use intention of mobile searches and the users＇ gender does not have a significant moderating effect on the use intention. The results are then used to develop suggestions for mobile search providers to promote their application and development.
