Teknostres Kavramı Üzerine Yazılmış Makalelerin Bibliyometrik Analizi

Yıl 2024, Cilt: 39 Sayı: 4, 972 - 995

Berkin Hanaylı , Güler Tozkoparan

https://doi.org/10.24988/ije.1424011

Öz

Bu araştırmada, literatür için özgün bir konu olan 'teknostres' kavramının literatürdeki yerini ve önemini belirlemek amacıyla bibliyometrik analiz yöntemiyle Web of Science (WoS) veri tabanındaki İngilizce makaleler incelenmiştir. Analize alınan 748 makalenin dağılımı 1982-2023 arasında, 41 yıllık bir süreci kapsamaktadır. Bu süre zarfında, yayınlanan makale sayısında ve makalelere yapılan atıflarda bir artış gözlenmiştir. Özellikle 2023 yılı, teknostres konusunda yapılan çalışmalar açısından dikkate değer bir artışla öne çıkmaktadır. Bu yılda toplam 181 araştırma makalesi yayımlanmış olup, bu durum 2023 yılını teknostres alanında yapılan çalışmalar bakımından en verimli yıl olarak göstermektedir. Teknostres kavramını inceleyen makalelerin alan dağılımı incelendiğinde, en çok makalenin Yönetim (314) ve İletişim (168) alanlarında yazıldığı görülmektedir. “Technostress: Technological Antecedents and Implications" başlıklı çalışma 831 atıf ile alanda en etkili makale olup, Massachusetts Üniversitesi'nden Monideepa Tarafdar 22 makale ile en üretken yazar konumundadır. Teknostres konusunda en çok makale yayımlayan ülkelerin ABD (145) ve Çin (125), bu alanda en etkin derginin ise Computers in Human Behavior olduğu tespit edilmiştir. Ortak kelime analizi sonucunda, teknostres kavramı ile sıklıkla ilişkilendirilen anahtar kelimeler arasında; Covid-19, stres, sosyal medya, iş tatmini, teknostres yaratıcıları, iyi oluş, bilgi yükü, tükenmişlik, ruh sağlığı, iş performansı, iş-aile çatışması ve kaygı yer almaktadır. Bulgular, teknostresin sosyal ve iş yaşamı gibi çeşitli alanlardaki etkilerine yönelik yoğun bir araştırma ilgisinin bulunduğunu ortaya koymaktadır. Çalışmanın, teknostres literatürüne kapsamlı ve derinlemesine bir bakış sağlayarak, mevcut araştırmaların

Anahtar Kelimeler

Teknostres, Bibliyometrik Analiz, Bibliyometri

Bibliometric Analysis of Articles Written on the Concept of Technostress

Öz

In this study, in order to determine the place and importance of the concept of 'technostress', which is a unique topic for the literature, English articles in the Web of Science (WoS) database were analyzed by bibliometric analysis method. The distribution of 748 articles analyzed covers a period of 41 years between 1982 and 2023. During this period, an increase in the number of articles published and citations to articles was observed. In particular, the year 2023 stands out with a remarkable increase in studies on technostress. A total of 181 research articles were published in this year, making 2023 the most productive year in terms of technostress studies. When the field distribution of the articles examining the concept of technostress is analyzed, it is seen that the most articles were written in the fields of Management (314) and Communication (168). "Technostress: Technological Antecedents and Implications" is the most influential article in the field with 831 citations, and Monideepa Tarafdar from the University of Massachusetts is the most prolific author with 22 articles. The countries publishing the most articles on technostress are the USA (145) and China (125), and the most influential journal in this field is Computers in Human Behavior. As a result of common word analysis, keywords frequently associated with the concept of technostress include Covid-19, stress, social media, job satisfaction, technostress creators, well-being, information overload, burnout, mental health, job performance, work-family conflict and anxiety. The findings
reveal that there is an intense research interest in the effects of technostress in various areas such as social and work life. By providing a comprehensive and in-depth overview of the technostress literature, the study is expected to provide a detailed analysis of existing research and provide directions for future research.

Anahtar Kelimeler

Technostress, Bibliometric Analysis, Bibliometrics

Kaynakça

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