Abstract

For decades, academics have studied the human resources of many different sectors with a wide range of approaches and methodologies. However, there is still room for analysis on educational mismatch, even more so in the hospitality industry after the COVID-19 pandemic standstill as it is a topic that has been somewhat relegated in recent times. Thus, this study seeks to analyze this phenomenon based on a multinomial logistic regression, which is underused in the human capital-related literature, especially on educational mismatch. The results confirm the influence of several factors such as tenure, experience or skills and quantify their effects on the chances of being educationally mismatched. Moreover, special attention is given to the remarkable influence of the required skills for a specific job position on vertical mismatch. Therefore, this paper updates previous research on the issue but also sheds new light on identifying the main aspects in which employees may focus in order to have better career prospects. The main limitation of this study is the availability of the data, which corresponds to 2018.

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