Why Don't We Study Laziness? A Bibliometric Analysis of Terminological Avoidance of a Folk Concept
DOI:
https://doi.org/10.57218/jupeis.Vol5.Iss1.2584Keywords:
Bibliometric analysis, Laziness, Research collaboration, VOSviewer, OpenRefineAbstract
The concept of laziness is often avoided in science because it seems to carry negative connotations, despite its frequent use in everyday life. This study aims to present a bibliometric analysis of the topic of laziness. 2,336 articles on laziness published from 1985 to 2025 were analyzed using bibliometric techniques to uncover research trends over 40 years. The analysis procedure began by searching for articles on the topic of laziness using various keywords in the Scopus search database. The search results were then cleaned in OpenRefine to detect ambiguous keywords and processed in VOSviewer, a software tool for conducting bibliometric analysis. The analysis focused on several aspects, such as keyword relevance, author affiliation, the most relevant authors to the topic, and citation analysis. The analysis results were visualized using VOSviewer to provide recommendations for future research on the laziness variable.
Downloads
References
Abdi, A. I., Omar, A. M., Mahdi, A. O., Asiimwe, C., & Osman, M. A. (2024). Tracing the evolution of STEM education: A bibliometric analysis. Frontiers in Education, 9, Article 1457938. https://doi.org/10.3389/feduc.2024.1457938
Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285-296. https://doi.org/10.1016/j.jbusres.2021.04.070
Ellegaard, O., & Wallin, J. A. (2015). The bibliometric analysis of scholarly production: How great is the impact? Scientometrics, 105(3), 1809-1831. https://doi.org/10.1007/s11192-015-1645-z
Madsen, T. (2018). The conception of laziness and the characterisation of others as lazy. Human Arenas, 1(3), 288-304. https://doi.org/10.1007/s42087-018-0026-7
Pennycook, G., & Rand, D. G. (2019). Lazy, not biased: Susceptibility to partisan fake news is better explained by lack of reasoning than by motivated reasoning. Cognition, 188, 39-50. https://doi.org/10.1016/j.cognition.2019.01.011
Trouche, E., Johansson, P., Hall, L., & Mercier, H. (2016). The selective laziness of reasoning. Cognitive Science, 40(8), 2122-2136. https://doi.org/10.1111/cogs.12303.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 JUPEIS : Jurnal Pendidikan dan Ilmu Sosial
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
