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Combining Multicriteria Decision‐Making Tools to Identify Critical Success Factors that Affect the Performance of Training Course Projects
Author(s) -
Fu HsinPin,
Chang TienHsiang,
Kao LingJing,
Chiu ChihChou,
Lu ChengChin
Publication year - 2013
Publication title -
systems research and behavioral science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 45
eISSN - 1099-1743
pISSN - 1092-7026
DOI - 10.1002/sres.2249
Subject(s) - multiple criteria decision analysis , critical success factor , analytic hierarchy process , affect (linguistics) , interview , computer science , management science , table (database) , process management , operations research , operations management , knowledge management , engineering , psychology , data mining , law , political science , communication
This paper combines two multicriteria decision‐making (MCDM) tools to identify the critical success factors (CSFs) that impact the performance of personnel training course projects in the semiconductor industry in Taiwan. The study collected the factors that influence performance by interviewing experts and constructed a hierarchical factor table. The fuzzy analytic hierarchy process was used to determine the weight of each factor, and the acceptance advantage concept of VlseKriterijumska Optimizacija I Kompromisno Resenje was used to objectively identify the CSFs. The study found four CSFs that affect project performance and proposed five practical implications. This paper verified that combining two MCDM tools can help training institutions to allocate their resources appropriately by focusing on the CSFs, identified by their weights, and thus, promote their training courses at lower cost and with greater efficiency. Copyright © 2013 John Wiley & Sons, Ltd.