Management, Organizations and Society 2017
DOI: 10.18515/dbem.m2017.n01.ch04
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Measuring of the labor market success of graduates of the Szent István University

Abstract: Graduate Career Tracking System (GCTS) surveys are well-known and widely accepted tools to follow up careers of the graduates and to evaluate their opinion on their jobs and tasks. This survey also may explore how the graduates think about the usefulness of their skills and competencies they gained during their university studies, how these competences are accepted by the labour market. This case study is based on surveys carried on by the Graduate Career Tracking System at the Szent István University (SZIU) i… Show more

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Cited by 4 publications
(4 citation statements)
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“…That is, it was listed in equal proportion to lack of finances by Hungarian students. In a study carried out at Szent István University among Hungarian students, Vinogradov et al (2015) also support this view of the students. This study also proved that students who have a job during their university years are more successful later on in the job market (than those who do not hold a job during their studies).…”
Section: Barrierssupporting
confidence: 54%
“…That is, it was listed in equal proportion to lack of finances by Hungarian students. In a study carried out at Szent István University among Hungarian students, Vinogradov et al (2015) also support this view of the students. This study also proved that students who have a job during their university years are more successful later on in the job market (than those who do not hold a job during their studies).…”
Section: Barrierssupporting
confidence: 54%
“…Top 25% of the rank of six aspects giving ratings scale scores by 4-grade Likert-scale Bottom 25% of the rank of six aspects giving ratings scale scores by 4-grade Likert-scale Source: primary research by the authors based on the indicator system compiled by Vinogradov et al (2015) Factors affecting the labour market success/not-success of higher education programs examined by Binary Logistic Regression model (Table 3). Nagelkerke R Square = 0,648, n=874…”
Section: Resultsmentioning
confidence: 99%
“…(2) There is an increasing number of international and national researches working on finding suitable indicators and technical measurement tools to give the required information and to develop and assess institutional performance and institutional benchmarking (Mijic and Jankovic, 2014;Krawczyk, 2014;Usher and Marcucci, 2011;Sipos, 2017;Vinogradov, 2017 (Kabai et al, 2011) and the CHEERS research investigated by Garcia-Aracil and Van der Velden (2007). The pilot research established the competence vocabulary using an EFA, which made it possible to identify the 16 variables about competencies in 2010.…”
Section: Et 633mentioning
confidence: 99%