Risk Assessment of Social Networking Recruitment Based on Bayesian Network

doi:10.12068/j.issn.1005-3026.2020.09.023

Abstract

Abstract: With the diversified development of social networking platforms， social networking recruitment has become a hot spot for enterprises. In order to effectively reduce the risks of corporate social networking recruitment， the flow chart method was used by combining the empirical research results and experts’ opinions to comprehensively analyze the risk factors of social networking recruitment. Then， on this basis， a risk evaluation index system of enterprises’ social networking recruitment was put forward， and the social networking recruitment risk evaluation model based on Bayesian network was established. Finally， the model was used for the risk assessment of an actual example of corporate social networking recruitment. The probabilities of the risks in each social networking recruitment stage and the overall probability of the risks in social networking recruitment were calculated and ranked， and then some suggestions were put forward， which verified the effectiveness of the evaluation method.

Key words: social networking recruitment, risk assessment, Bayesian network, risk management, social platform

CLC Number:

C936

WANG Xin， WANG Jing， LI Jin-feng. Risk Assessment of Social Networking Recruitment Based on Bayesian Network[J]. Journal of Northeastern University Natural Science, 2020, 41(9): 1356-1362.

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