大众参与网络众包竞赛的个体绩效影响因素  

The Factors Affecting Individual Performance of Network Crowdsourcing Contests

作　　者：夏恩君[1] 赵轩维[1] 宋剑锋[1] 李森[1] 

机构地区：[1]北京理工大学管理与经济学院,北京100081

出　　处：《北京理工大学学报（社会科学版）》2017年第2期79-86,共8页Journal of Beijing Institute of Technology：Social Sciences Edition

基　　金：国家自然基金面上项目资助"企业开放式创新社区网络演化研究"(71172170);国家自然基金面上项目资助"开放式创新网络众包模式的运行机理及行为管理研究"(71572012)

摘　　要：根据网络众包竞赛运行的特点和众包绩效的相关研究,运用多元线性回归的方法,从网络众包竞赛参与者个体的参赛数量、任期和参赛间隔等行为方面着手,通过对大众参与网络众包竞赛的绩效影响因素开展分析,识别网络众包竞赛个体绩效的主要影响变量。结果表明:参赛者个体的任期和提交次数对比赛成绩有显著的正向作用;总排名和参赛间隔对比赛成绩有显著的负向作用;参赛数量在任期和比赛成绩之间起到了负向的调节作用;参赛数量在参赛间隔和比赛成绩之间起到了正向的调节作用;参赛间隔在任期和比赛成绩之间也起到了负向的调节作用。According to the running characteristics of network crowdsourcing contests and related research of crowdsourcing performance, this paper applied the multiple linear regression method, and studied the factors that affect the performance of public participation from competitors＇ participation numbers, tenures, participation interval and other behavior factors. Through linear regression method, it identified the key variables in affecting individual performance of network crowdsourcing contests. The results show that competitor＇ tenures and submitted entries have significant effect on their performance positively; competitors＇ rankings and participation interval have significant effect on their performance negatively. Moreover, competitors＇ participation numbers moderate the relationship between tenures and performance negatively, and the relationship between participation interval and performance positively. In addition, competitors＇ participation interval moderate the relationship between tenures and performance negatively too.

关 键 词：众包绩效 参与行为 参赛数量 参赛间隔 调节作用 

分 类 号：F091.354[经济管理—政治经济学]