TY  - JOUR
AV  - none
UR  - http://repositorio.unic.co.ao/id/eprint/10557/
A1  - Brito Ballester, Julién
A1  - Gracia Villar, Mónica
A1  - Soriano Flores, Emmanuel
A1  - García Villena, Eduardo
ID  - unic10557
JF  - International Journal of Operations and Quantitative Management
EP  - 251
SP  - 223
IS  - 2
KW  - K-Means
KW  -  Candidate Satisfaction
KW  -  Competencies
KW  -  FuzzySets
KW  -  Consensuses
TI  - Use of Fuzzy Approach Methodology and Consensus in Creating a Hierarchy of Satisfaction for Measurement Criteria: Application to Online Training Actions Directed at Classification by Key Competency Profiles in Sales Supervision (SPV) within the Automotive
N2  - The primary objectives of this research article were twofold. Firstly, to categorise a total of 294 individuals who aspired to three distinct competency profiles associated with the supervision of international car sales (SPV). Secondly, to prioritise the criteria used for measurement and assess the level of satisfaction attained following the provision of targeted online training for each respective position. Segmentation was performed using the K-Means algorithm on a Likert scale importance questionnaire. Satisfaction indicators were derived by applying fuzzy set methods to the results of a satisfaction questionnaire, also using a Likert scale. The measurement criteria did not show any clear negative perceptions. The overall satisfaction index was 0.7, which was supported by classic statistics and placed in a high category. Additionally, a variable analysis revealed that candidates from the Euro-Asian region exhibited significantly low levels of satisfaction. However, no significant associations were observed between satisfaction levels and gender, income profile, completed training action, or age groups. The researchers rigorously employed a methodology that included assessing the validity and reliability of the instrument. A review of relevant literature also supported the analysis of the results. These findings suggest that the method could be applied to other multidisciplinary programmes to make informed decisions in the field of training.
Y1  - 2023/06//
VL  - 29
ER  -