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Research Article

Model for the diagnosis of quality in service processes: A case study applied to a private higher education institution

ORCID Icon, , , ORCID Icon, & ORCID Icon | (Reviewing editor) show all
Article: 1702856 | Received 23 Aug 2019, Accepted 02 Dec 2019, Published online: 26 Dec 2019

Figures & data

Table 1. Survey of publications with the “Management in Services” topic and its approaches

Table 2. Survey of publications with the “quality performance measurement service processes education” topic and its approaches

Table 3. Identification of the approaches in the analyzed publications

Figure 1. Phases and steps of the proposed conceptual model

Figure 1. Phases and steps of the proposed conceptual model

Figure 2. Chart with 22 moments of contact (services; constructs) versus 9 determinants: 1-Access; 2-Speed; 3-Ambience; 4-Competence; 5-Consistency; 6-Flexibility; 7-Reliability; 8-Tangibility; 9-Cost

Figure 2. Chart with 22 moments of contact (services; constructs) versus 9 determinants: 1-Access; 2-Speed; 3-Ambience; 4-Competence; 5-Consistency; 6-Flexibility; 7-Reliability; 8-Tangibility; 9-Cost

Figure 3. Chart with scales of the assessment mechanism (a nine-point Likert scale)

Figure 3. Chart with scales of the assessment mechanism (a nine-point Likert scale)

Table 4. Analysis of the assessment scales

Table 5. Reliability, convergent validity and dimensionality of constructs (1Extracted Variance—EV; 2Cronbach’s Alfa—CA; 3Composite Reliability—CR; 4Sample Suitable Measure from Kaiser-Meyer-Olkin—KMO; 5Dimensionality)

Table 6. Descriptive analysis of indicators

Table 7. Characterization of groups concerning questions

Table 8. Friedman’s test for analysis of expectation, minimum acceptable and observed

Figure 4. Radar graph for the problem

Figure 4. Radar graph for the problem

Figure 5. Chart showing the failures ranking for decision making

(RPN = Risk Priority Number).
Figure 5. Chart showing the failures ranking for decision making

Figure 6. Summary of the proposed model applied to the analyzed HEI

Figure 6. Summary of the proposed model applied to the analyzed HEI