2022
DOI: 10.3390/su14116735
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Conditions Influencing Salary of the Automotive Industry in Mexico City—A Linguistic Fuzzy-Set Approach

Abstract: Decision making in wages is generally a hard task. The aim of this work is to identify government conditions, personal conditions of the businessperson, and organizational circumstances that affect wage levels in the automotive industry in Mexico City using a linguistic fuzzy-set approach. We conducted a questionnaire, consisting of 23 observation variables with a five-point Likert scale. Independent variables were measured from 1 (“not important”) to 5 (“very important”). Based on the literature review and re… Show more

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“…The literature [25] used fuzzy set theory to estimate the cognitive (or fuzzy) uncertainty that arises due to limited data samples when measuring small field output factors. The literature [26] conducted a questionnaire survey in which a total of 169 questionnaires were sent to participants using Google Forms based on the results of the literature review and interviews. The results of the linguistic fuzzy set approach identified three main conditions that influence the wage level in the automotive industry in Mexico City, including unskilled labor, the neoliberal economic model, and political and trade reforms.…”
Section: Introductionmentioning
confidence: 99%
“…The literature [25] used fuzzy set theory to estimate the cognitive (or fuzzy) uncertainty that arises due to limited data samples when measuring small field output factors. The literature [26] conducted a questionnaire survey in which a total of 169 questionnaires were sent to participants using Google Forms based on the results of the literature review and interviews. The results of the linguistic fuzzy set approach identified three main conditions that influence the wage level in the automotive industry in Mexico City, including unskilled labor, the neoliberal economic model, and political and trade reforms.…”
Section: Introductionmentioning
confidence: 99%