Open AccessUsing AI to Enhance Recruitment Effect
Author(s) -
Jia Liu,
Shih-Hsuan Chang,
Yu-Ci Xu,
Guo-An Wu,
Shih-Feng Chang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1827/1/012150
Subject(s) - competition (biology) , business , human resources , value (mathematics) , selection (genetic algorithm) , marketing , knowledge management , job satisfaction , industrial organization , management , computer science , economics , artificial intelligence , ecology , machine learning , biology
In today’s rapid economic development, the competitiveness of enterprises is more and more reflected in the talent competition, and the important means to obtain talents is recruitment. With the development of economy, recruitment channels are becoming more and more diversified. Enterprises will choose recruitment channels according to various reasons to recruit suitable candidates for the vacant positions of the enterprise. However, after finding the suitable people, how to keep them or hire them. After the recruitment of employees, whether the performance of employees is related to the recruitment channels has an important reference role for the selection of human resources. We use AI technology to measure the performance of employees through the three dimensions of subjective initiative, job satisfaction and job self dedication. Therefore, it has theoretical and practical value for improving the recruitment effect and contribution.