| In the era of knowledge economy, knowledge is productivity, andknowledgeable talents-the carrier of knowledge are the decisive factor of creatingproductivity. In the market competition environment,knowledgeable talents flowfrequently. In order to keep core competitive advantages,enterprises must rely on theexcellent performance which knowledgeable talents create. Organizationalcommitment of knowledgeable talentes plays an important role through the process ofperformance. Therefore, it is the significant theoretical and practical subject whichthe current private enterprises are faced to master the generation mechanism ofknowledgeable talents performance based on organizational commitment, to warnknowledgeable talents performance based on organizational commitment, and toachieve the performance efficiency of knowledgeable talents based on organizationalcommitment. This paper attempts to more in-depth study of the subject, in order toenrich the study of the theory of organizational commitment and knowledgeabletalents performance, in the meanwhile,to provide reference for enterprise managersand relevant government management department. This study can be summarized asthe following several aspects.(1) This thesis builds the generation mechanism of knowledgeable talentsperformance and caculates the impact degree from the dimensions of organizationalcommitment on the performance of knowledgeable talents by an empirical analysis,and then puts forward some countermeasures to improve the performance ofknowledgeable talents.This paper holds that organizational commitment ofknowledgeable talents is not only affected by three factors fromindividuals(concluding work motivation and work ability), teams(concluding teamtrust and teamwork) and organization(concluding organizational support andorganizational culture), but also impacts on knowledgeable talents performance. Thethesis builds the generation mechanism model of knowledgeable talents performancewhich is “the influencing factor-organizational commitment-the performance of knowledgeable talentsâ€, and conducts an empirical analysis after widely collectingdatas of knowledgeable talents from private enterprises. The thesis also analyzes theinfluence of individual characteristics of knowledgeable talents on their performancefrom sex, marriage, and domicile place. The thesis puts forward some measures topromote the performance of knowledgeable talents.(2) This thesis builds performance early warning model of knowledgeable talentsbased on organizational commitment and explore the process of early warning ofknowledgeable talents performance in a private enterprise as an example. Through thecomparative study, BP neural network is proved more effective comparing to otherwarning models.Many factors such as environment and knowledgeable talents lead toknowledgeable talents performance being in high uncertainty. In order to overcomthese uncertainty to make the enterprises develop more smoothly, this thesis conductsperformance early warning of knowledgeable talents from the perspective oforganizational commitment by BP neural network method, which contains six steps–grid layers design, the design of the input layer node number, the design of theoutput layer node number, number of hidden layer node design, the choice of thetransfer function and the selection of error function. Finally, this thesis also comparesthe effect of BP neural network model of early warning with other five kinds ofmainstream models (discriminant analysis model, ARCH model, ARMAmodel,analytic hierarchy process, PR model).(3) This thesis evaluates performance efficiency of knowledgeable talentsbased on organizational commitment. According to the results of the dataenvelopment analysis (DEA), the thesis definites the improvement direction of theknowledge workers performance efficiency realization.Knowledgeable talents engagein creative work, so it is more difficult to define the achievement of their performanceefficiency. This thesis tries to take organizational commitment of knowledgeabletalents as input index, and to take knowledgeable talents performance as outputindicators, then builds performance achievement efficiency evaluation model forknowledgeable talents based on organizational commitment by using the classic DEAdata envelopment analysis (DEA) method. The thesis uses the model to conductempirical study on performance efficiency conversion of25knowledgeable talents from five types of private enterprises. The thesis analyzes the differences ofperformance efficiency about different personal characeristics(containing companysize,employee age,work years,education and position), and eventually indicates thedirection for improving the efficiency of the realization of knowledgeable talentsperformance from private enterprise. |