Back Issues 11-20

RESEARCH ON USING FAHP AND TOPSIS TO ESTABLISH NATIONAL ARMY RECRUITMENT SERVICE QUALITY INDICATORS: TAKE VOCATIONAL SCHOOLS FROM YILAN COUNTY AS AN EXAMPLE

Nai-Chieh Wei, I-Shou University, Taiwan (ROC), This email address is being protected from spambots. You need JavaScript enabled to view it.

*Chun- Ming Yang, Dpt. of Industrial Management, I-Shou University, Taiwan (ROC)

*Corresponding Author: This email address is being protected from spambots. You need JavaScript enabled to view it.

Abstract

This study implements an expert questionnaire survey and adopts the fuzzy analytic hierarchy process (FAHP) to determine the weight of recruitment service quality in order to explore the status quo of military recruitment in Yilan County, Taiwan. Afterwards, the TOPSIS analysis method was used to sort out various indicators of service quality, analyze service quality, and provide a future reference for national army recruitment. Afterwards, the TOPSIS analysis method is employed to organize various metrics of service quality, analyze service quality, and provide future references for national army recruitment. The research subjects are students from 16 vocational high schools in Yilan County. The research discovered that the most important factor affecting the quality of military recruiting services is "empathy" rather than "tangibility" which the military spends great efforts to pursue. Empathy ranked highest among all factors with a weight of 0.49, Assurance and Reliability both ranked second with a weight of 0.20, followed by Responsiveness with a weight of 0.08. Further analysis revealed that among the factors related to Empathy, "the recruiter will prioritize students' rights" is the most important factor, with a weight of 0.25. Finally, this study can provide a reference for the service quality of national army recruiters, and improve recruitment performance by improving recruitment service quality parameters.

Keywords: Military recruitment, service quality, fuzzy analytic hierarchy process (FAHP), technique for order of preference by similarity to ideal solution (TOPSIS)