Abstract:

Research on overqualification has become a growing area of interest in the last two decades. However, knowledge of the structure and development of overqualification is limited. The main purpose of this research is to visualize the most important topics in the field through scientific maps using subject mapping (co-keyword analysis) and co-citation analysis at the author level, which are bibliometric analysis methods to determine the evolution of perceived overqualification research. In order to determine the intellectual structure of perceived overqualification studies, 56 English-language publications with the word "perceived overqualification" in their titles and scanned in the Web of Science database were analyzed with VOSviewer. Firstly, the most important publications on the subject, the most productive journals, the most influential authors and the distribution of publications by country were summarized with the descriptive analysis method. Then, with the bibliometric analysis method, the most prominent themes in the perceived overqualification research and the interactions between the authors according to the co-citation frequency were determined. According to the results of the current research; perceived overqualification, overqualification, job satisfaction, relative deprivation, job crafting, turnover intention, quantitative, person-job fit and performance are the most commonly used keywords. Two clusters emerged in the co-citation (author level) analysis and the most cited authors are Erdogan, B. and Maynard, D.C. The findings of this study will contribute to researchers to clearly understand the main themes and identify possible gaps in the subject.

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