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.

Pattaya City is a well-known tourist destination in Thailand, famous for its beautiful beachfront, lively nightlife, and stunning natural scenery. Since 2019, the Eastern Special Development Zone Act, the so-called EEC (Eastern Economic Corridor), has positioned the city as a focal point for Meetings, Incentives, Conferences, and Exhibitions (MICE), boosting its tourism-driven economy. Infrastructure improvements in the region have accelerated urban development over the past decade. However, it is uncertain whether this growth primarily comes from development within existing areas or the expansion of urban boundaries and what direction future growth may take. To investigate this, research using the Cellular Automata-Markov model has been conducted to analyze land use changes and urban growth patterns in Pattaya, using land use data from the Department of Land for 2013 and 2017. The findings suggest an upcoming city expansion along the motorway, indicating that infrastructure improvements could drive rapid urbanization in coastal areas. This urban expansion emphasizes the need for urban management and strategic land use planning in coastal cities.

This study evaluates the health and sustainability of higher education systems in nine countries: the USA, UK, Australia, Germany, Canada, China, Brazil, India, and South Africa. Using a multi-level analysis model and principal component analysis (PCA), nine key factors—such as international student numbers, academic levels, and graduate employment rates—were identified, capturing over 90% of the cumulative impact on higher education systems. India, scoring 6.2036 initially, shows significant room for improvement. The study proposes policies to increase graduate employment, promote international faculty collaboration, and enhance India’s educational expenditure, which surpasses 9.8% of GDP. Post-policy simulations suggest India’s score could rise to 8.7432. The paper also addresses the impact of COVID-19 on global education, recommending a hybrid model and increased graduate enrollment in China to reduce unemployment by 5.4%. The research aims to guide sustainable development in higher education globally.

The purpose of this research is to investigate the relationship between transformational leadership variables and organizational citizenship behavior (OCB) variables, investigate the relationship between job satisfaction variables and organizational citizenship behavior (OCB), and investigate the relationship between organizational commitment variables and organizational citizenship behavior (OCB). This research method uses quantitative methods. In this study, the researchers used a simple random sampling technique with a sample size of 368 SMEs employee. The data collection method for this research is by distributing an online questionnaire designed using a Likert scale of 1 to 7. The data analysis technique uses Partial Least Square—Structural Equation Modeling (PLS-SEM) and data analysis tools use SmartPLS software version 3.0. The stages of data analysis are validity testing, reliability testing and hypothesis testing. The independent variables in this research are transformational leadership, job satisfaction and organizational commitment, while the dependent variable is organizational citizenship behavior (OCB). The results of this research are that transformational leadership has a positive influence on organizational citizenship behavior (OCB), Job Satisfaction has a positive influence on organizational citizenship behavior (OCB) and organizational commitment has a positive influence on organizational citizenship behavior (OCB). The theoretical implications of this research support the results of previous research that transformational leadership, job satisfaction, and organizational commitment make a positive contribution to increasing organizational citizenship behavior in SME employees. The practical implication of this research is that SME owners apply transformational leadership, create work breadth and create organizational commitment within the SME organization to support increasing employee organizational citizenship behavior so that it can encourage increased performance and competitiveness of SMEs.

The objectives of the study are to assess the impact of green human resources management (GHRM) policies and knowledge on the environmental performance of a public transportation company employees. Data from 1130 respondents were analyzed using SmartPLS modeling. The findings that GRHM affected employees of a public transportation company mediated by roles of green human resources management policies and knowledge. GRHM affected public transportation employees’ environmental performance significantly. Employees in the public transportation industry can use the study’s results to their advantage by developing plans to increase their sense of belonging to the company and their impact on the environment. Therefore, many companies understand the value of public transportation employees as the forefront ‘agent of change’ towards a significant positive environmental change in the community.