Abstract
Bibliometrics involves combining, analyzing, and examining bibliographic information from scientific publications. This study aims to analyze the clusters of Working Capital Management (WCM) in Small and Medium-sized Enterprises (SMEs) using VOSviewer software. The study reviewed articles on WCM in SMEs published from 2007 to May 2024 in the Scopus database, applying well-established bibliometric techniques and analyzing the data using VOSviewer software. Consequently, 21 articles published in the past decade were evaluated by analyzing trends in publications, authors, affiliated organizations, countries, cited articles, and popular themes to understand the research topics researchers have focused on in recent years. Surprisingly, this study's results reveal minimal collaboration between authors, universities, and countries working on the topic of WCM. In conclusion, bibliographic analysis can provide fundamental insights into research on WCM in SMEs. By applying bibliographic analysis to WCM in SMEs, this study helps contribute to scientific journals, academics, and institutions in understanding and promoting research on this topic in the field of education. ©2025 UiTM Kedah. All rights reserved.
Metadata
| Item Type: | Article |
|---|---|
| Creators: | Creators Email / ID Num. Amram, Nor Razuana razuana@uitm.edu.my Zainudin, Noor Hidayah UNSPECIFIED Wan Azman, Nazihah UNSPECIFIED Ghazali, Nuur Atikah UNSPECIFIED |
| Contributors: | Contribution Name Email / ID Num. Advisor Said, Roshima roshima712@uitm.edu.my Chief Editor Ismail, Junaida junaidaismail@uitm.edu.my |
| Subjects: | H Social Sciences > HD Industries. Land use. Labor > Industry H Social Sciences > HD Industries. Land use. Labor > Management. Industrial Management |
| Divisions: | Universiti Teknologi MARA, Kedah > Sg Petani Campus |
| Journal or Publication Title: | Voice of Academia (VOA) |
| UiTM Journal Collections: | UiTM Journals > Voice of Academia (VOA) |
| ISSN: | 2682-7840 |
| Volume: | 21 |
| Number: | 2 |
| Page Range: | pp. 1-15 |
| Keywords: | Bibliometric, SMEs, Working Capital Management, VOSviewer Software |
| Date: | 2025 |
| URI: | https://ir.uitm.edu.my/id/eprint/120687 |
