Research On Factors That Influence The Innovation Performance Of The Crowdsourcing Of Witkey

Crowdsourcing is a new business model that utilizes Internet technology,which provides a new path for enterprises to make full use of external resources to implement open innovation.In the increasingly competitive and rapidly changing market environment,the emergence of crowdsourcing prompts a lot of attention,not only the rapid emergence of crowdsourcing network platforms,typical of InnoCentive,Taskcn and so on,but also led to a wide range of academic research on crowdsourcing.However,the current development of crowdsourcing is still in the exploratory stage,how to enhance the enthusiasm and performance of each participant is the core and key to the sustained and healthy development of the platform,the present academic research on this issue has just started.Therefore,based on the actual data from "TaskCN"(http://www.taskcn.com/),from the perspective of the seekers and the solvers,using empirical research methods,the factors that influence the innovation performance of the crowdsourcing are explored,in order to provide reference for improving the innovation performance of crowdsourcing.Firstly,the connotation and classification of crowdsourcing is defined,the characteristics and process of Witkey model are clarified,the characteristics of the traditional innovation competition and crowdsourcing competition are analyzed and compared.Secondly,based on the existing research results,Witkey model is taken as the research object,the factors that influence the seekers and solvers' innovation performance are studied respectively.The influencing factor model is constructed,the research hypothesis is put forward,and the measurement method of the variable in the model is designed.Thirdly,based on the actual data collected from "TaskCN"(http://www.taskcn.com/),the corresponding regression model is selected to analyze the influencing factors model.The results of the data analysis show that the main factors that affect the seeker's innovative performance are task award,task duration,task description length,task density,seeker credit,seeker experience and skill matching.The main factors that affect the performance of solvers are professional skills,information disclosure,participation experience,successful experience,submission time and task exchange.The model analysis also find that task difficulty and task award have a significant positive effect on the positive relationship between successful experience and solvers' innovation performance,and participants number has a significant negative effect on the positive relationship between successful experience and solvers' innovation performance.Finally,based on model analysis results,suggestions for improving the innovation performance of seekers and solvers are put forward respectively.