| Summary: | 碩士 === 輔仁大學 === 心理學系 === 103 === In response to the Chongqing (the only direct-controlled municipality in western China) demand of labor force transformation and talent development, the Chinese Academy of Human Capital responds to the demand through the cooperation with universities and the introduction of advanced concepts and tools in Europe and the United States. This study carried out exploratory research in a car manufacturing enterprise in Chongqing by the cross-strait cooperation in three groups, in the form of research base, so as to build a more efficient process and method of job analysis. We revised O*NET job analysis questionnaire, and collected general work activities (GWA), work style (WS), self-reported performance and performance evaluation by supervisor. 535 questionnaires involving 63 positions were issued, including 464 valid questionnaires.
How to utilize the information obtained from job analysis which serves as a tool for further analysis and application of human resources is our destination. We analyzed job analysis questionnaire in 3 ways as followed: 1. constructing hierarchical regression model to evaluate recruitment selection standard of different grades and to provide with statistic supports for employee training and development, by means of associating GWA and WS with performance evaluation by supervisor; 2. From the perspective of multi-source assessment, we self-reported performance and performance evaluation by supervisor as criterion respectively, analyzing the differences between high-performing employees and general employees, in order to adjust the cognitive biases of employees and improve organizational effectiveness; 3. Comparing three similar core position in Chongqing company case and American occupation information database, figuring out the differences between working activities and required working styles, so as to meet the needs of industrial upgrading and labor force transformation.
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