Digital Technology in Quality Management: Bibliometric Computational Mapping Analysis

This study used the bibliometric method and computational mapping analysis using VOSviewer to examine the development of research on the use of digital technology in quality management. Article data were obtained from Google Scholar using the Publish or Perish Reference Manager application. Data collection was conducted based on the keywords "quality management" and "digital technology”. The search found 779 relevant articles. The study period was the last 20 years (2003–2022) and the articles were indexed by Google Scholar. The results showed that research on digital technology in quality management could be divided into four terms. The first term was "quality management”, with 91 links, 1695 total link strength, and 530 related events. The second term was "total quality management”, with a total of 84 links, a total link strength of 1386, and 309 related events. The third term was "quality management system”, with a total of 61 links, the total link strength of 425, and 121 related events. The fourth term was "digital technology”, with a total of 53 links, the total link strength of 551, and 251 related events. The analysis also showed that the number of publications on digital technology in quality management tended to increase over the past 22 years, although it fluctuated every year. The peak occurred in 2020 with 78 articles. The results of this study could serve as a starting point for further research on this topic.

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Publication Details

Journal
Journal of Advanced Research in Applied Sciences and Engineering Technology
Published
2024-10-09
DOI
https://doi.org/10.37934/araset.62.2.154170
Primary Topic
Economic and Technological Systems Analysis
Type
article
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article

Digital Technology in Quality Management: Bibliometric Computational Mapping Analysis

Yosep Hernawan, Edi Suryadi, R. Rasto, A. Sobandi et al.
Journal of Advanced Research in Applied Sciences and Engineering Technology
Economic and Technological Systems Analysis
article

Digital Technology in Quality Management: Bibliometric Computational Mapping Analysis

Yosep Hernawan, Edi Suryadi, R. Rasto, A. Sobandi, Nani Sutarni
article en

Abstract

This study used the bibliometric method and computational mapping analysis using VOSviewer to examine the development of research on the use of digital technology in quality management. Article data were obtained from Google Scholar using the Publish or Perish Reference Manager application. Data collection was conducted based on the keywords "quality management" and "digital technology”. The search found 779 relevant articles. The study period was the last 20 years (2003–2022) and the articles were indexed by Google Scholar. The results showed that research on digital technology in quality management could be divided into four terms. The first term was "quality management”, with 91 links, 1695 total link strength, and 530 related events. The second term was "total quality management”, with a total of 84 links, a total link strength of 1386, and 309 related events. The third term was "quality management system”, with a total of 61 links, the total link strength of 425, and 121 related events. The fourth term was "digital technology”, with a total of 53 links, the total link strength of 551, and 251 related events. The analysis also showed that the number of publications on digital technology in quality management tended to increase over the past 22 years, although it fluctuated every year. The peak occurred in 2020 with 78 articles. The results of this study could serve as a starting point for further research on this topic.

Journal of Advanced Research in Applied Sciences and Engineering Technology
Indonesia University of Education (ID)
Openalex Percentile: Top 67%
Economic and Technological Systems Analysis
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Digital Technology in Quality Management: Bibliometric Computational Mapping Analysis — Yosep Hernawan, Edi Suryadi, et al. · Journal of Advanced Research in Applied Sciences and Engineering Technology (2024) | TGRS Research Map | TGRS