Job Satisfaction of Recent University Graduates in Economics Sciences: The Role of the Match Between Formal Education and Job Requirements

Santis, Mariana De; Florensa, Marcelo; Gáname, María Cecilia; Moncarz, Pedro E.

doi:10.1007/s10902-021-00360-x

Cited by 10 publications

(9 citation statements)

References 31 publications

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“…(2014) used explanatory variables such as demographic variables, study process characteristics, study programme characteristics, teaching modes, personal attitude, international mobility experience, work experience and current job characteristics to find significant drivers of graduate success in the labour market. They found that job satisfaction differs across study domains (for similar studies see also De Santis et al. , 2021).…”

Section: Related Literaturementioning

confidence: 82%

“…Gajderowicz et al (2014) used explanatory variables such as demographic variables, study process characteristics, study programme characteristics, teaching modes, personal attitude, international mobility experience, work experience and current job characteristics to find Labour market success empirical analysis significant drivers of graduate success in the labour market. They found that job satisfaction differs across study domains (for similar studies see also De Santis et al, 2021). Such variances in job satisfaction determinants could be linked to the dissimilarities in the characteristics of the various labour markets where graduates from different fields of study try to find employment.…”

Section: Central European Graduates' Researchmentioning

confidence: 91%

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What drives labour market success? Empirical analysis of university graduates in Poland

Hojda

Roszkowska

Trojak

2022

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PurposeThe study aims to examine the factors that determine the success of graduates in the labour market. This success is measured in several ways, namely, above-average wages in the economy, employment in accordance with the field of study and job satisfaction. The research explores the employment outcomes of graduates from Jagiellonian University, which is the oldest and one of the best in Poland. Not only does the analysis focus on degree-related predictors such as discipline or faculty, but it is also extended to include activities undertaken during studies and family background.Design/methodology/approachThe analysis is based on data collected in the graduates' career survey, which is conducted six months after graduation. For this article, a database of over 6,000 graduates from four subsequent editions of the survey was compiled. In order to identify the predictors of graduates' success, a logistic regression model was applied.FindingsThe study reveals that graduates' success in the labour market is influenced not only by their discipline, but also by the activities undertaken during their studies, the type of studies and demographic features. Studies in natural sciences give chance for higher earnings, job matching and satisfaction. The humanities and social sciences increase only graduates’ group satisfaction. The impact of activities during studies is diversified – those matched to studies increase the job matching and those unmatched lower the earnings, job matching and satisfaction. Parents' level of education resulted in salary increase. The results also confirm the premises of behavioural theory.Research limitations/implicationsFirstly, the main research limitation is that data of one particular university's graduates are used, so the results should be interpreted in the context of Poland only. Secondly, the authors propose a precise concept of success; however, it could be refined in any future study. This limitation could be mitigated by the flexibility of the model, which guarantees that other predictors of success could be involved. Furthermore, the article was based on data collected before the COVID-19 pandemic, when the labour market was completely different, so it also could be revised now.Practical implicationsThe results of the analysis can be used when preparing the University’s educational offer. Since various predictors are implemented in the model, the information could be useful not only for future students, but also for current students, so they can make a more data-driven decision about their future careers. Additionally, University careers’ advisors are provided with knowledge on the determinants of graduates' success. Taking a broader view, the research findings are also informative for labour market institutions.Originality/valueThe paper offers an advanced analysis in a field that is under-researched in many transition countries, including Poland, i.e. graduates' entry into the workplace. Although the study provides insight into the factors that determine the labour market success of one particular university's graduates, this modelling can be applied to the empirical data of another higher education institution’s (HEI's) graduates.

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Section: Related Literaturementioning

confidence: 82%

Section: Central European Graduates' Researchmentioning

confidence: 91%

What drives labour market success? Empirical analysis of university graduates in Poland

Hojda

Roszkowska

Trojak

2022

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“…Santis et al proposed that scientific and effective rational use of talents is the key to human resource management. e key point of its core is that the characteristics of employees are consistent with the responsibility characteristics of the post, the needs of employees and the incentive behavior of employees are consistent with the remuneration provided by the post and grasp the mutual integration and matching of personal characteristics and enterprise organizational characteristics [15]. Lozej proposed that in order to enable employees to quickly enter the end of the post, systematic training on the skills and related knowledge used in the postwork is also required during the training, so as to deepen employees' understanding and mastery of work skills and knowledge and improve their work ability [16].…”

Section: Related Workmentioning

confidence: 96%

Job Matching Analysis Based on Text Mining and Multicriteria Decision-Making

Liang

Wan

2022

Mathematical Problems in Engineering

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The postmanagement of an enterprise is to rationally and scientifically arrange the talents who meet the postrequirements and are suitable for the development of the enterprise in their suitable posts through testing, selection, and employment. The job recruitment information published on the recruitment website is the data that best reflects the market demand for data analysis talents. However, as online recruitment information is mostly presented in the form of text, this paper explores the information contained in the recruitment information through text mining technology, which has reference value for data analysis job seekers. Based on text mining and multicriteria decision-making, this paper studies job matching. The technical jobs under text mining are mainly distributed in the Internet industry, and the number of recruits accounts for 66.45%. Other industries have less demand for technical data analysis, all of which are below 15%. However, the market of business data analysis is scattered and extensive, and education still occupies the largest demand provider, accounting for 30.53%. However, real estate and media are closely followed, accounting for 24.28% and 22.34%, respectively. Besides these three industries, compared with technical talents, service industries will also need business data analysis talents more. In the stage of data collection, through the data analysis of the recruitment website, the job recruitment information is crawled, as well as other job information such as job salary, job qualifications, work experience requirements, and the number of recruits. This paper carries out the data collection stage and crawls the job recruitment information through the data analysis of the recruitment website. And, other position information, such as position salary, position qualification, and work experience requirements, as well as the number of recruits. The research of this paper can help the data released by the recruitment website to analyze the recruitment information and quickly reflect the market demand data for data analysis talents.

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“…Pull motivation represents the potential for a particular attraction to be consistent with someone’s motivational factors ( Noela et al, 2017 ; Suni and Pesonen, 2017 ). Counties play pivotal roles in attracting university students through their policies on employment and entrepreneurship, salary, and benefits ( Honeycutt and Rosen, 1997 ; Cable and Graham, 2000 ; Lievens and Highhouse, 2003 ; De Santis et al, 2021 ). Therefore, county attraction and motivational pulls are essentially the same.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Young people adapt to urban life for higher education and work ( Brabyn and Jackson, 2019 ). Furthermore, income from work is a determinant of job satisfaction ( De Santis et al, 2021 ). Therefore, enterprises in counties usually offer high salaries to retain graduates for local employment.…”

Section: Literature Reviewmentioning

confidence: 99%

Influencing Factors of University Relocation on College Students’ Intention to Engage in Local Entrepreneurship and Employment

et al. 2021

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In modern society, the power of college students has been able to provide creative growth for the local economy, so the work situation of college students is closely related to the social dynamics. Colleges and universities are important places for talent cultivation and output. They are closely related to the cultivation of college students and the choice of employment and entrepreneurship of college students. Entrepreneurship and employment are interdependent. It is not enough to rely only on entrepreneurs to make enterprises stronger. In order to increase the creativity and environmental adaptability of enterprises, there need to be sufficient and excellent employees who are willing to work in the regions where enterprises are located. Therefore, enterprises need college students with innovation and creativity in their regions. In this study, graduates from a university in Zhejiang Province were selected as the subjects. Based on the Theory of Reasoned Action, literature analysis and interview method were combined to systematically construct a research model affecting college Students’ choice of entrepreneurship and employment. The questionnaire survey method and structural equation model (PLS-SEM) were used to test the hypothesis. A total of 798 valid questionnaires were collected. The results show that local attraction and family factors are the two most important factors affecting the entrepreneurship and employment of college students. Family factors have a significant positive impact on the attitude toward entrepreneurship and employment, subjective norms and intention to entrepreneurship and employment; local attraction also has a significant positive impact on the subjective norms, intention to entrepreneurship and employment, and attitude toward entrepreneurship and employment. The results of this study provide a reference for the decision-making of improving local attractiveness and promoting college Students’ employment in start-up enterprises under the background of higher education popularization.

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Job Satisfaction of Recent University Graduates in Economics Sciences: The Role of the Match Between Formal Education and Job Requirements

Cited by 10 publications

References 31 publications

What drives labour market success? Empirical analysis of university graduates in Poland

What drives labour market success? Empirical analysis of university graduates in Poland

Job Matching Analysis Based on Text Mining and Multicriteria Decision-Making

Influencing Factors of University Relocation on College Students’ Intention to Engage in Local Entrepreneurship and Employment

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