DocumentCode :
575748
Title :
Building competency model for foreign-related talents based on SEM
Author :
Baoguo, Shen
Author_Institution :
Dept. of Foreign Languages, Baoding Univ., Baoding, China
Volume :
2
fYear :
2012
fDate :
20-21 Oct. 2012
Firstpage :
341
Lastpage :
344
Abstract :
Since the foreign-related talents in international trade and business are valuable strategic human resource to carry out the Hebei coastal development strategy, It is inevitable request for achieving its development goals to build a high-quality team of talents, and so the research of competency model of the foreign-related talents is very important. This paper collected the data on the competencies of foreign-related talents from 500 foreign-related companies in China via a questionnaire and 10 of them were interviewed face to face. 16 items were extracted from 35 items through the factor analysis, and then the study assumes the structure model by using Structural Equation Model (SEM) method to verify the hypothetical models. Finally the paper not only builds up the structural equation model of foreign-related talents, but also proves the model systematicness by using quantitative methods and researches the relative importance of the competency variables for the model. The paper has an important significance to cultivate the foreign-related talents.
Keywords :
human resource management; statistical analysis; China; Hebei coastal development strategy; SEM method; competency model; factor analysis; foreign-related talent cultivation; international business; international trade; quantitative method; strategic human resource; structural equation model; talent team; Analytical models; Indexes; Load modeling; Logic gates; Reliability; Sea measurements; Hebei coastal development strategy; SEM; competency model; foreign-related talents;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Management, Innovation Management and Industrial Engineering (ICIII), 2012 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4673-1932-4
Type :
conf
DOI :
10.1109/ICIII.2012.6339848
Filename :
6339848
Link To Document :
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