Political patronage has become a notable concern in the South African public sector, often compared to a new epidemic because of its adverse effects on governance and public administration. This phenomenon involves by political leaders offering rewards and appointment people for key government positions and allocating resources to them based on their political loyalty rather than their abilities and qualifications. This intensifies corruption by fostering a culture in which competence is subordinate, resulting in inadequately qualified individuals assuming key positions and receiving benefits, thereby amplifying opportunities for unethical conduct. In turn, this practice undermines the effectiveness and integrity of public sector institutions. The purpose of this article is to offer a broader analysis and implications of political patronage and how it fuels corruption and governance in the South African public sector. This article employs a secondary research method through the review of existing literature to examine the nature of political patronage, its nexus with corruption and misgovernance in the public sector, drawing reference to contemporary, renowned corruption cases. This paper submits that overcoming these challenges necessitates a holistic approach that involves the professionalization of the public sector, robust measures to combat corruption, and improved transparency. The objective is to establish and promote a public service that emphasizes competence, responsibility, and the fulfilment of governance functions in order to serve the wider interests of citizens.

Government performance means the results of government work. Its use is to evaluate government accountability, decision-making, efficiency, effectiveness, transparency, and achievement of goals. Purpose: This paper aims to explore the understanding of performance measurement tools commonly used in government, the reasons for using them, and the implementation of performance measurement in Indonesia. Method: This study uses a meta-synthesis method, an integrative review approach from 2000–2021, in the Scopus database using the keywords measurement system, performance measurement, performance measurement government, measurement system government. Results and Discussion: The final sample consisted of 23 studies, and the results showed that the most commonly used performance measurement was the balanced scorecard. This is because the balanced scorecard is able to explain the vision, mission, strategy, results, and operational actions, so that it can achieve local government goals. Research implications: Insight into government performance measurement can be used to determine the strengths and weaknesses of various performance measurement tools so that the government can implement performance measurement tools that are more appropriate for its government. Originality/Value: This study offers an adaptation of existing methods to measure government performance more effectively. In addition, this study focuses on the context of developing countries, which can provide new contributions to the literature.

This study investigates the multifaceted challenges and barriers to implementing public auditor recommendations in Ghana’s public sector over an eighteen months period, aiming to enhance governance and accountability. Utilizing a qualitative research approach, the study involved semi-structured interviews with key stakeholders, including officials from the Ghana Audit Service, government ministries, and civil society organizations. The findings reveal a complex interplay of organizational, political, and attitudinal factors that impede effective implementation. Key challenges identified include the lack of clear implementation plans, insufficient resources, weak political commitment, and a pervasive culture of mistrust towards audit recommendations. The research underscores the necessity for a comprehensive and holistic approach to address these barriers, advocating for strengthened political leadership, enhanced accountability mechanisms, and improved stakeholder coordination. Additionally, fostering a sense of ownership and buy-in among implementation stakeholders is crucial for successful reform. The study contributes valuable insights into the systemic issues affecting public sector governance in Ghana and offers practical recommendations for overcoming the identified challenges, ultimately aiming to empower citizens and enhance governmental accountability. By addressing these barriers, the research highlights the potential for transformative change in the governance landscape of Ghana’s public sector.

The study’s purpose is to investigate the relationship effect of innovation on online organizational learning applications and employees’ engagement in the Jordanian public sector. Quantities and descriptive analytical approach were used, and the population was covered (10) Jordanian public departments in Amman capital. Convenience method was used, which covered all departments’ managers and assistances in the Jordanian public services department’s headquarters, with (284) employee. Electronic survey set used. The SPSS-V20 and AMOS-V24 were used for hypotheses statistical analysis testing. The study found a significant impact of online organizational learning applications in its dimensions (Zoom, Teams, Goto Meeting, and Google Meet) on employee’s engagement, and a significant relationship of innovation between online organizational learning applications and employee’s engagement in Jordanian public services departments. The study contributions show that employees are willing to engage with their occupied work to achieve work goals, and to control over of how they undertake the employees career development, empowerment, communication skills, and work completion competences. The study implications for organizations management to conduct more future studies concerning online organizational learning applications by other dimensions as well as social media and other digital workshop and training in different organizations environments.

The purpose of this study is to provide empirical evidence about the relationship between Organizational Culture and Knowledge Management in public sector organizations in Colombia. This research is based on information obtained from a survey applied to workers in different positions and areas of four organizations in the Colombian government at the departmental level. A survey of 22 items measured Organizational Culture, and 19 items measured Knowledge Management. The results show that the strongest correlation is between a flexible organizational structure and leadership that foments the development of worker capabilities to register and use knowledge. Furthermore, to achieve efficiency the public organizations should foster adaptability to environment, a well-defined management and value-oriented human behavior and overcome barriers such as bureaucracy, inefficient administration, and make adequate knowledge management.

This study aims to identify the causes of delays in public construction projects in Thailand, a developing country. Increasing construction durations lead to higher costs, making it essential to pinpoint the causes of these delays. The research analyzed 30 public construction projects that encountered delays. Delay causes were categorized into four groups: contractor-related, client-related, supervisor-related, and external factors. A questionnaire was used to survey these causes, and the Relative Importance Index (RII) method was employed to prioritize them. The findings revealed that the primary cause of delays was contractor-related financial issues, such as cash flow problems, with an RII of 0.777 and a weighted value of 84.44%. The second most significant cause was labor issues, such as a shortage of workers during the harvest season or festivals, with an RII of 0.773. Additionally, various algorithms were used to compare the Relative Importance Index (RII) and four machine learning methods: Decision Tree (DT), Deep Learning, Neural Network, and Naïve Bayes. The Deep Learning model proved to be the most effective baseline model, achieving a 90.79% accuracy rate in identifying contractor-related financial issues as a cause of construction delays. This was followed by the Neural Network model, which had an accuracy rate of 90.26%. The Decision Tree model had an accuracy rate of 85.26%. The RII values ranged from 68.68% for the Naïve Bayes model to 77.70% for the highest RII model. The research results indicate that contractor financial liquidity and costs significantly impact construction operations, which public agencies must consider. Additionally, the availability of contractor labor is crucial for the continuity of projects. The accuracy and reliability of the data obtained using advanced data mining techniques demonstrate the effectiveness of these results. This can be efficiently utilized by stakeholders involved in construction projects in Thailand to enhance construction project management.