The widespread application of computer-aided production technology can effectively and directly assist enterprises in completing all aspects of production smoothly and efficiently. With the rapid development of 3D printing application technology, research and promotion of new material manufacturing applications have basically begun. This article mainly focuses on analyzing two technologies: computer-aided technology and 3D printing technology.

One significant importance of street vending in South Africa is its role in providing livelihoods and economic opportunities, especially for marginalized and vulnerable populations. However, Street vendors, particularly those selling agricultural commodities, face numerous challenges. Street vending in Moletjie Mmotong is a vital source of income and employment, offering affordable goods and services, including food, clothing, and household items. One potential solution is online selling, but there is limited knowledge about it in the informal sector. This study aims to analyze the factors affecting street vendors’ willingness to sell fruits and vegetables online in Moletjie Mmotong under Polokwane Municipality. Data was collected from 60 street vendors using a questionnaire and simple random sampling. Descriptive statistics identified and described the socio-economic characteristics of the vendors, while a binary logistic regression model analyzed the factors influencing their willingness to sell online. The study found that age, education level, gender, household size, and access to online selling information significantly influenced their willingness to sell online. The findings highlight the potential benefits of online selling for street vendors, such as increased sales and a broader customer base. The study recommends that governments provide training and workshops on online selling, develop educational programs, distribute educational materials, and create marketing strategies to support street vendors in transitioning to online platforms.

Traditional shipping plays a crucial role in the national sea transportation system, serving inland areas, remote areas, and outer islands that are widely distributed throughout the country. However, there is still limited research on the problems of traditional shipping empowerment and its implementation. This research aims not only to analyze the obstacles encountered in empowering traditional shipping but also the implementation of the traditional shipping grant program. This study employed a quantitative descriptive approach, utilizing a likert scale, to analyze the issues that arise in the empowerment of traditional shipping. Additionally, for policy implementation analysis, the Hellmut-Wollmann policy analysis was used. The findings indicate that the most significant issues arise in the area of human resource development, such as a lack of competent teaching staff, insufficient short courses, complicated testing procedures, and the lack of crew certification. In the ex-ante stage, the variable of empowering traditional shipping transportation programs experienced the highest implementation rate. During the ongoing stage, the variable empowering traditional shipping services achieved the highest implementation score. And in the ex-post stage, traditional shipping services had the highest implementation score. This paper emphasizes the significance of collaboration and coordination among all levels of government, from the central to the local, in order to effectively implement the traditional shipping empowerment program. These findings also highlight the necessity of extending the traditional shipping grant program while making improvements in areas such as ship safety management regulations, the management and supply of traditional shipping terminals, the division of transportation types, and route determination policies.

This study examines the determinants of audit quality and their impact on detecting financial statement fraud at public accounting firms member of OAI Solusi Manajemen Nusantara in Indonesia. Using a quantitative approach, data was collected through a structured questionnaire distributed to auditors and staff. Key findings highlight the significant influence of auditor independence, professional proficiency, and supervision actions on conducting effective audits, thereby enhancing fraud detection capabilities. The research identifies challenges such as the focus on Indonesian firms and potentially limiting broader applicability. Recommendations include enhancing auditor training, adopting stringent audit procedures and technology, and ensuring adherence to auditing standards to improve audit quality and uphold financial reporting integrity. This study underscores the critical role of audit quality in preventing and detecting financial statement fraud, suggesting avenues for future research to explore additional influencing factors.

Preserving roads involves regularly evaluating government policy through advanced assessments using vehicles with specialized capabilities and high-resolution scanning technology. However, the cost is often not affordable due to a limited budget. Road surface surveys are highly expected to use low-cost tools and methods capable of being carried out comprehensively. This research aims to create a road damage detection application system by identifying and qualifying precisely the type of damage that occurs using a single CNN to detect objects in real time. Especially for the type of pothole, further analysis is to measure the volume or dimensions of the hole with a LiDAR smartphone. The study area is 38 province’s representative area in Indonesia. This research resulted in the iRodd (intelligent-road damage detection) for detection and classification per type of road damage in real-time object detection. Especially for the type of pothole damage, further analysis is carried out to obtain a damage volume calculation model and 3D visualization. The resulting iRodd model contributes in terms of completion (analyzing the parameters needed to be related to the road damage detection process), accuracy (precision), reliability (the level of reliability has high precision and is still within the limits of cost-effective), correct prediction (four-fifths of all positive objects that should be identified), efficient (object detection models strike a good balance between being able to recognize objects with high precision and being able to capture most objects that would otherwise be detected-high sensitivity), meanwhile, in the calculation of pothole volume, where the precision level is established according to the volume error value, comparing the derived data to the reference data with an average error of 5.35% with an RMSE value of 6.47 mm. The advanced iRodd model with LiDAR smartphone devices can present visualization and precision in efficiently calculating the volume of asphalt damage (potholes).

As Saudi Arabia embarks upon a transformative economic journey under the umbrella of its Vision 2030 and National Transformation Plan, the Saudi government plans to implement various initiatives to engage the private sector in meeting new national development goals, including the provision of 1600 schools through the public-private partnership (PPP) route. This article provides an international outlook and review of the use of PPPs to deliver school infrastructure and analyzes Saudi Arabia’s potential to implement this promising program. Effective use of the PPP model can guarantee the timely provision of schools and other infrastructure projects that could fulfill the vision of Saudi Arabia’s political leadership, potentially serving as a catalyst and blueprint for other Gulf states. The case study argues that, while Saudi Arabia’s schools’ program enjoys significant political support, its government needs simultaneously to pursue the parallel objective of developing the necessary institutional, legal, regulatory, and supervisory frameworks essential for successful PPP projects globally. The article concludes with recommendations to mitigate existing challenges and foster the involvement of the private sector in education sector development.