Affiliations: Department of Industrial Engineering and Management, National Chin-Yi University of Technology, Taichung, Taiwan, Republic of China. E-mails: cjtao@ncut.edu.tw, scchen@ncut.edu.tw, ksc@ncut.edu.tw
Correspondence:
[*]
Corresponding author: C.J. Tao, Department of Industrial Engineering and Management, National Chin-Yi University of Technology, 35, Lane 215, Chung-shan Rd. Sec. 1 Taiping, Taichung, 411, Taiwan, Republic of China. Tel.: +886 4 23924505, ext. 7644; Fax: +886 4 23934620; E-mail: cjtao@ncut.edu.tw.
Abstract: “Multi-Intelligence Aptitude” includes linguistic, logical mathematics, space extensity, limbs mobility, musical sensitivity, public relation, introspection and nature observation. The 8 intelligence are complementary to each other, the strong intelligence could awake the weak intelligence and the relation between multi-intelligence aptitude and personal interest and working capability are so close that they could be used as an important reference index for selecting and culturing human resource. Based on the above viewpoint we will use the multi-intelligence aptitude to design the questionnaire and analyze the data by the 6-sigma methodology to develop a new talent selection model. Firstly we distributed the questionnaire to the qualified engineers and analyzed the interaction between the static and dynamic characteristics; and then survey the job applicant with the same questionnaire and draw out the “Radar chart” and “Performance Control chart” of qualified engineer and job applicant, respectively. Then after calculation we have the “similarity” and “differentiation” data of their multi-intelligence aptitude; and furthermore to find the job applicant that has higher similarity of multi-intelligence aptitude with the qualified engineer and have more relation of the intelligence needed for the job. The analysis model proposed in this article in addition to be used for selecting job applicant, it could provide to student as an important aptitude reference index of aptitude in job seeking.
Keywords: Multi-intelligence evaluation, radar chart, relationship analysis control C, performance evaluation control chart, 6-sigma, DMAIC, DMAD
