| Network crowdsourcing is based on “public participation”,and enterprises can formation virtual crowdsourcing communities through network crowdsourcing platforms to collect ideas and knowledge resources from global network participants,in order to create value and provide more crowdsourcing products or services.Benefiting from the development of China’s Internet technology and encourage the "four public"(popular entrepreneurship,crowdsourcing,collective support,and crowfunding),the development speed of the network crowdsourcing gradually improve,ranging from the solving problems and provide creative ideas extension to the enterprise technology innovation and R & D and so on.The promotion and application of network crowdsourcing innovation model can attract the public to participate in enterprise technology innovation process,fully explore and inspire the public wisdom and creativity,turn our country’s huge population burden into the enormous human resource advantage.Moreover,online development of global public wisdom can avoid repeated R&D of advanced technology to a certain extent,and it also can integrate the global resources,attract global public to participate,in order to realize technological catch-up and beyond.At present the academic studies on the network crowdsourcing research focuses on the general description of the concepts,network crowdsourcing operation form,participants’ characteristics and motivation problems,there is no deep system quantitative analysis on network crowdsourcing.Accordingly,this article from the perspective network crowdsourcing contests,using game theory,SEM and numerical simulation analysis methods and techniques,analysis the operation mechanism of public participation in the network crowdsourcing,studies the individual performance,creativity and incentive problems of public participation network crowdsourcing contest.The major contents are as follows.First,the paper analyzes operation mechanism of public participation network crowdsourcing.The paper expounds the network crowdsourcing sources and characteristics,then finds that public participation in the network Crowdsourcing has no boundary,uncertainty,minimum cost and maximum value of serious risk problems.The paper then analyzes the three main participants(public,public network crowdsourcing platform and enterprise)in crowdsourcing network and builds the public participation in the network Crowdsourcing operation process from public,virtual crowdsourcing community,public network crowdsourcing platform and enterprise.Finally,analysis the operation mechanism of public participation network crowdsourcing form learning mechanism,incentive mechanism,common value creation mechanism and risk control mechanism.Second,the paper studies the individual performance of public participation network crowdsourcing contests.Based on related research on recency effect theory and network crowdsourcing individual performance,the paper puts forward analysis conceptual model.Through the research on the historical data of the individual game players network Crowdsourcing competition website Kaggle,the paper analyzes the main factors affecting individual performance in Kaggle.Multiple linear regression model of public participation in the network Crowdsourcing competition individual performance,judge the contestants amount,term,total ranking,game time,submit action times and participation interval on the competition results;moderating effect model of individual performance,moderating effect analysis of competition number of individuals and the interval shown in the other variable and individual performance.Third,the paper analyzes the individual creativity of public participation network crowdsourcing contests.Based on the work engagement theory and self-efficacy theory,from the physical,emotional and cognitive dimensions are summarized into the extent of network investment crowdsourcing participants,from the field of task self-efficacy and learning self-efficacy to measure dimensions of interactive network crowdsourcing participants self-efficacy,and then put forward the individual investment and self-efficacy of function hypothesis individual creativity,and collects statistics on individual job involvement and self-efficacy and creativity of public participation in the network crowdsourcing contest,structural equation are constructed on the basis of public participation in the network Crowdsourcing competition individual job involvement,self-efficacy and individual creativity model,studies of individual involvement and self efficacy effect of the creative path.Fourthly,the paper analyzes the individual bonus incentive of public participation network crowdsourcing contests.First of all,the individual incentive model of public participation in the network Crowdsourcing competition were introduced simply.And then,the Bias game of participants under the condition of incomplete information is formulated,the minimum prize bonus incentive measure model is also constructed to incentive participants play the highest degree of efforts to complete the crowdsourcing contests.The study uses Matlab software to bonus incentive model for numerical simulation,and verify the minimum bonus incentive model.Finally,based on the model analysis results,the mass participation in the network Crowdsourcing competition bonus cooperative incentive mechanism,incentive mechanism,the rating task allocation service incentive mechanism and incentive mechanism.This paper has a research on the individual performance,creativity and incentive in network crowdsourcing contests through the quantitative method,making up for the part of the theoretical research gaps,expanding the methods and ideas of performance management and incentive in network crowdsourcing contests,to provide support for the continuous development of network crowdsourcing contests. |
