This study presents a comprehensive bibliometric analysis of the literature on public financial management (PFM), aiming to identify key trends, influential publications, and emerging themes. Using data from Web of Science and Scopus, the study examines the evolution of PFM research from 1977 to 2024. The findings reveal a significant increase in PFM research output, particularly after 2010, with countries like the United States, the United Kingdom, and China contributing the most publications. Central themes such as financial management, transparency, and accountability remain prominent while emerging topics like gender budgeting, health insurance, and blockchain technology reflect shifting priorities in the field. The study employed performance analysis and science mapping techniques to assess the structure and dynamics of PFM research. The analysis highlights key focus areas, including fiscal decentralization and sector-specific management, and identifies gaps in the existing literature, particularly regarding interdisciplinary and international collaboration. The results suggest that while PFM remains rooted in traditional governance and financial control, there is a growing emphasis on modern, innovative solutions to address contemporary challenges. This study’s insights provide a roadmap for future research, emphasizing the importance of transparency, technological integration, and inclusive financial policies. In conclusion, this bibliometric analysis contributes to understanding PFM’s evolving landscape, offering scholars and policymakers a clearer perspective on current trends and future directions in the field. Future research should focus on expanding interdisciplinary approaches and exploring the practical impacts of emerging PFM trends across different regions.

The performance of Public Enterprises (PEs) in Namibia has been a long and contentious issue, clamored by continuous bailouts in the face of constant poor performance. The trend of financial bailouts to PEs in Namibia over the years has attracted increased attention into the dynamics of poor PE performance and their fiscal burden on the state. The Namibian government has taken active steps in cutting on PE bailouts and demanding improved performance or face closure. By looking at recent developments in the governance of PEs in Namibia, the purpose and objective of the current study is to analyze whether the current stance and trajectory of government decisions spells a post-honeymoon period in which poor performing PEs will ‘wither and survive or die’ if they do not improve their sustainability index by not relying on financial bailouts. This analysis is aided by the insights provided by the stakeholder, institutional and principal-agent theories. Through the qualitative research method, this study finds that the Namibian government has taken a new attitude and approach in which it will no longer blindly accept and tolerate the poor performance of PEs through continuous bailouts as seen in the past. PEs that are withering will now either survive (through reforms) or die (through liquidation or dissolution).

In this paper, we assess the results of experiment with different machine learning algorithms for the data classification on the basis of accuracy, precision, recall and F1-Score metrics. We collected metrics like Accuracy, F1-Score, Precision, and Recall: From the Neural Network model, it produced the highest Accuracy of 0.129526 also highest F1-Score of 0.118785, showing that it has the correct balance of precision and recall ratio that can pick up important patterns from the dataset. Random Forest was not much behind with an accuracy of 0.128119 and highest precision score of 0.118553 knit a great ability for handling relations in large dataset but with slightly lower recall in comparison with Neural Network. This ranked the Decision Tree model at number three with a 0.111792, Accuracy Score while its Recall score showed it can predict true positives better than Support Vector Machine (SVM), although it predicts more of the positives than it actually is a majority of the times. SVM ranked fourth, with accuracy of 0.095465 and F1-Score of 0.067861, the figure showing difficulty in classification of associated classes. Finally, the K-Neighbors model took the 6th place, with the predetermined accuracy of 0.065531 and the unsatisfactory results with the precision and recall indicating the problems of this algorithm in classification. We found out that Neural Networks and Random Forests are the best algorithms for this classification task, while K-Neighbors is far much inferior than the other classifiers.

In recent years, the rapid development of technologies such as virtual reality, augmented reality, and mixed reality, along with the significant increase in publications related to the Metaverse, demonstrates a sustained growth in interest in this field. Some scholars have already performed bibliometric analyses of this emerging field. However, previous analyses have not been comprehensive due to limitations such as the volume of literature, particularly lacking in co-citation analysis, which is crucial for understanding the interconnectedness and impact of research works. In this study, we used the Web of Science as a database to search for topics related to the Metaverse from 1995 to 2023. Subsequently, we employed CiteSpace for co-citation network analysis to supplement previous research. Through our analysis at the journal, author, and literature levels, we identified core journals and key authors in the Metaverse field. We discovered that Extended Reality (XR), education, user privacy, and terminologies related to the Metaverse are significant research themes within the field. This study provides clear and actionable research directions for future papers in the Metaverse field.

The Convention on the Rights of Persons with Disabilities (CRPD) constitutes a crucial international framework that underscores the significance of inclusive education for individuals with disabilities, a vital goal for nations globally. This study seeks to examine the alignment of the recently established Saudi Law on the Rights of Persons with Disabilities (SLRPD) with the CRPD in the educational sector. The study employs a comparative analytical methodology to examine pertinent legal material and international treaties regarding inclusive education for individuals with disabilities. The findings indicate that the SLRPD substantially improves the rights of persons with disabilities by facilitating access to educational opportunities. Article 8 of the bill significantly enhances Saudi Arabia’s adherence to Article 24 of the CRPD objectives regarding inclusive education. The report emphasizes Saudi Arabia’s dedication to the ongoing evaluation and enhancement of its legal frameworks to facilitate access to educational opportunities for disabled children and youth. Under Saudi Arabia’s Vision 2030, the Kingdom has made significant strides in assisting those with disabilities, aligning with worldwide norms and its strategic goals. The research advises nations to intensify their initiatives for inclusive education by bolstering intersectoral collaboration, amplifying awareness activities, and cultivating relationships with international organizations. These measures will not only guarantee ongoing adherence to the CRPD but will also empower persons with disabilities to attain sustainable educational opportunities.

This study aims to examine the evolution of the system of support sources in Hungary, focusing on the specific goals supporting higher education in the development programs Széchenyi 2020 (2014–2020) and Széchenyi Plan Plus (2021–2027). The study provides insights into development program evolution and changes, aiming to inform EU funding opportunities for Hungarian higher education institutions over a nearly 10-year period. By focusing on the operational programs that are the basis for the upcoming tenders, the study will display the target system of EU funds that can be utilized to bolster higher education institutions in Hungary. The study is based on document analysis, examining the Hungarian policy tools of the development programs and the operational program strategies of the ten-year time period from 2014 to 2024. By analyzing the support landscape for higher education institutions in Hungary, this study contributes to a better understanding of how the key objectives and criteria of strategic programs have evolved. It also examines the aspects and elements defined in two different development programs over the last ten years. The result of the study can contribute to anticipate the types of funding opportunities that may be available in the future and inform future decision-making processes.