Mapping the Intellectual Structure of Perceived Overqualification Research: A Co-Keyword and Co-Citation Analysis

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.

Keywords

• Perceived overqualification
• bibliometric analysis
• co-citation analysis
• co-occurence of keyword analysis

Algılanan Fazla Niteliklilik Araştırmalarının Entelektüel Yapısının Haritalanması: Bir Ortak Anahtar Kelime ve Ortak Atıf Analizi

Abstract

Fazla niteliklilik üzerine yapılan araştırmalar, son yirmi yılda büyüyen bir ilgi alanı haline gelmiştir. Buna rağmen, fazla nitelikliliğin yapısı ve gelişimi hakkındaki bilgi birikimi sınırlıdır. Bu araştırmanın temel amacı, algılanan fazla niteliklilik araştırmalarının evrimini belirlemek için bibliyometrik analiz yöntemlerinden konu haritalama (ortak anahtar kelime analizi) ve yazar düzeyinde ortak atıf analizi ile alandaki en önemli konuların bilimsel haritalar aracılığıyla görselleştirilmesini sağlamaktır. Algılanan fazla niteliklilik araştırmalarının entelektüel yapısını belirlemek için Web of Science veri tabanında taranan ve başlığında “algılanan fazla niteliklilik” kelimesi yer alan İngilizce dilinde 56 yayın VOSviewer ile analiz edilmiştir. İlk olarak, betimsel analiz yöntemi ile, konu ile ilgili en önemli yayınlar, en üretken dergiler, en etkili yazarlar ve yayınların ülkelere göre dağılımı özetlenmiştir. Ardından, bibliyometrik analiz yöntemi ile, algılanan fazla niteliklilik araştırmalarındaki en belirgin temalar ve ortak atıf sıklığına göre yazarlar arasındaki etkileşimler tespit edilmiştir. Mevcut araştırmanın sonuçlarına göre; algılanan fazla niteliklilik, fazla niteliklilik, iş tatmini, göreli yoksunluk, iş becerikliliği, işten ayrılma niyeti, nicel, kişi-iş uyumu ve performans, en yaygın kullanılan anahtar kelimelerdir. Ortak atıf (yazar düzeyinde) analizinde iki küme ortaya çıkmış olup, en çok alıntılanan yazarlar; Erdogan, B. ve Maynard, D.C.’dir. Bu çalışmanın bulguları, araştırmacıların, ana temaları açıkça anlamalarına ve konu ile ilgili olası boşlukları belirlemelerine katkıda bulunacaktır.

Keywords

• Algılanan fazla niteliklilik
• bibliyometrik analiz
• ortak atıf analizi
• ortak anahtar kelime analizi

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