Increased Work Productivity Through Bibliometric Analysis

Authors

  • Suryadi Suryadi Universitas Pelita Bangsa
  • Rizqon Hoeroni Universitas Pelita Bangsa

DOI:

https://doi.org/10.37385/msej.v5i2.5810

Keywords:

Bibliometric Analysis, VOSViewer, Publish or Perish, Work Productivity, Computational Mapping Analysis

Abstract

In an era of ever-evolving research, a deep understanding of work productivity is crucial to improving the performance of individuals, institutions, and the research field as a whole. This study explores the potential use of bibliometric analysis as an effective tool in analyzing and improving work productivity and by using the VOSViewer application to be able to find improvements in work productivity in the period 2019 to 2024. This approach allows us to look beyond the number of publications, taking into account factors such as h index, citation rate, and collaboration patterns. This article data was obtained from the Goggle Schooler database using the Publish or Perish reference manager application. From this search, there are 200 articles that are considered relevant. These results show that the number of publications related to this topic from 2019 to 2024 is fairly large. With an average number of publications.

References

Al Husaeni, D. F., & Nandiyanto, A. B. D. (2022). Bibliometric Computational Mapping Analysis of Publications on Mechanical Engineering Education Using Vosviewer. Journal of Engineering Science and Technology, 17(2), 1135–1149

Kurdi, M. S., & Kurdi, M. S. (2021). Analisis Bibliometrik dalam Penelitian Bidang Pendidikan: Teori dan Implementasi. Journal on Education, 3(4), 518–537. https://doi.org/10.31004/joe.v3i4.2858

Lahkimi, A., Bouchra, L., Chaouch, M., Nechad, I., & Eloutassi, N. (2020). Moroccan Journal of Chemistry.

Nandiyanto, A. B. D., & Al Husaeni, D. F. (2021). A bibliometric analysis of materials research in Indonesian journal using VOSviewer. Journal of Engineering Research (Kuwait), 9, 1–16. https://doi.org/10.36909/jer.ASSEEE.16037

Sugesti, M., & Gunawan, A. (2024). Strategi Peningkatan Produktivitas Karyawan pada Perusahaan. 3(2), 60–67.

Sukatin, Nurkhalipah, Kurnia, A., Ramadani, D., & Fatimah. (2022). Humantech Jurnal Ilmiah Multi Disiplin Indonesia. Jurnal Ilmiah Multi Disiplin Indonesia, 1(9), 1278–1285.

Sari, D. P., & Ali, H. (2022). Literature Review Measurement Model of Individual Behavior and Organizational Citizenship Behavior: Individual Characteristics, Work Culture and Workload. Dinasti International Journal of Management Science, 3(4), 647–656. https://dinastipub.org/DIJMS/article/view/1133

Shahrad, M., Fonseca, R., Goiri, I., Chaudhry, G., & ... (2020). Serverless in the wild: Characterizing and optimizing the serverless workload at a large cloud provider. 2020 USENIX Annual …. https://www.usenix.org/conference/atc20/presentation/shahrad

Wilson, G. F., & Eggemeier, F. T. (2020). Psychophysiological assessment of workload in multi-task environments. Multiple Task Performance. https://doi.org/10.1201/9781003069447-15

Xi, N., Chen, J., Gama, F., Riar, M., & Hamari, J. (2023). The challenges of entering the metaverse: An experiment on the effect of extended reality on workload. In Information Systems Frontiers. Springer. https://doi.org/10.1007/s10796-022-10244-x

Yang, C., Chen, A., & Chen, Y. (2021). College students’ stress and health in the COVID-19 pandemic: The role of academic workload, separation from school, and fears of contagion. In PloS one. journals.plos.org. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0246676

Downloads

Published

2024-08-03

How to Cite

Suryadi, S., & Hoeroni, R. . (2024). Increased Work Productivity Through Bibliometric Analysis. Management Studies and Entrepreneurship Journal (MSEJ), 5(2), 9149–9157. https://doi.org/10.37385/msej.v5i2.5810