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A study of the Competence-based Model to Choose Labor Conflict Mediators Based on the Application of Analytic Network Process

Labor conflict mediators play a very important role during the process of labor dispute resolution; their competence will help enhance the quality of labor dispute mediation and improve the relationship between labor and management. The main purpose of this research is to probe into the criteria that labor conflict mediators should possess. Based on the Competence Theory, this research collects opinions from experts and scholars and utilizes Fuzzy Delphi Method and Analytic Network Process respectively to construct a competence-based model to select labor conflict mediators.
Results are achieved as follows:
1. To firmly establish critical competence items and definition of labor conflict mediators, including practical experience, problem resolution, professional expertise, fairness and objectivity, integrity, thinking and judgment, and investigation ability, in order to set up the hierarchical structure of competency indices.
2. In consideration of the dependency relation among principles of competency, this research utilizes Analytic Network Process to systematize decomposition and quantify judgment, in order to firmly establish the weight of competency indices, as well as to construct a competence-based model with an evaluation standard of weight to select labor conflict mediators.
3. Through the empirical study, the competence-based model to select labor conflict mediators which is constructed in this research can effectively discriminate outstanding labor conflict mediators.
4. The competence-based model developed in this research to choose labor conflict mediators utilizes the following procedures: (1) collate the competence indices; (2) To utilize Fuzzy Delphi Method to identify critical items of competence; (3) To utilize Analytic Network Process to firmly establish the weight of competence items; (4) To develop the competence-based model; (5) To examine the effectiveness of competence-based model.

Identiferoai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0907108-010423
Date07 September 2008
CreatorsChuang, Ping-Fen
ContributorsShyh-Jer Chen, Liang-Chih Huang, Uen-Jin Feng
PublisherNSYSU
Source SetsNSYSU Electronic Thesis and Dissertation Archive
LanguageCholon
Detected LanguageEnglish
Typetext
Formatapplication/pdf
Sourcehttp://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0907108-010423
Rightscampus_withheld, Copyright information available at source archive

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