چکیده:
The Human resource is the most strategic resources for a society and thus for every type of organiza-
tion. Therefore, choosing employees does play a major role in the productivity of an organization. One
of the most important managerial responsibilities is to select new employees for vacant positions. The
use of intelligent methods for decision-making in the different branches of human resource manage-
ment is of high value especially in today’s organizations. For this purpose, knowledge acquisition about
the organization and its jobs is very essential. It helps the human resources managers to achieve opti-
mal decision making in respect to the selection process and the other personnel operations. The knowl-
edge acquisition, which is the extraction of knowledge from sources of expertise and its transfer to the
knowledge base, is the bottleneck in expert systems development. In this paper, we use a nonmetric
Multidimensional Scaling(MDS) technique for the acquisition of the required knowledge in the selec-
tion process with regard to the hidden mental structure of the organizational experts. The acquired
knowledge is next used for the development of an expert system.
خلاصه ماشینی:
In this paper, we use a nonmetric Multidimensional Scaling(MDS) technique for the acquisition of the required knowledge in the selection process with regard to the hidden mental structure of the organizational experts.
Table I Rodger's seven point plan and Fraser's five-fold grading (Torrington & I I all, 1998) (View the image of this page) These criteria arcjob-related and usually come from job analysis along with experts' judgments.
These ordinal values are represented as an n x n lower diagonal matrix, which is named proximity matrix as: (View the image of this page) Here, for obtaining the proximity matrix we should perform the following steps: For the considered job, we choose the number of the existent jobholders (employees) in the organization who have work experience good enough (For example more than two years).
In this research work representation for developing a model is used, For this purpose, the basic selection criteria according to the mental structure of the experts are extracted such as that explained in the previous stages.
(View the image of this page) An Effective Model/or Intelligent Employee Selection in Human Respirce Management Obtaining Proximities For the job being considered, we chose seven jobholders who had work experience greater than two years.
Making the Knowledge Base for the Expert System We use the basic criteria that were extracted in the previous part, for development of an intelligent selection process by an expert system.
The model is meant to extract the basic criteria in the selection of suitable applicants for the organizational jobs with regard to the mental structure of the managers and the experts.