The prospects of digital infrastructure in promoting rural economic growth and development are by and large immense. The paper found that rural development is considerably important for economic development and for achievement of sustainable livelihoods that increases people’s ability to achieve good health and wellbeing that enable the achievement of sustainable development. The paper found that digital imbalance and digital illiteracy in the rural areas hinder implementation of digital infrastructure to lead to rural economic growth. Digital infrastructure is the source of economic opportunities that enables local people in the rural areas to be more creative in achieving development success. It enables them to have a unique sense of place and fashioning of vibrant economic and financial opportunities that ensure the achievement of sustainable rural economic development. However, the paper found that the application of digital infrastructure to South Africa’s rural areas in the bid to promote rural economic growth has been hindered by factors like the digital divide, financial constraints, digital illiteracy and the failure to own a smart phone. These factors hinder digital infrastructure from leading to sustainable rural economic development and growth. The paper used secondary data gathered from existing literature. The use of qualitative research methodology and document and content analysis techniques became vital in the process of collecting and analyzing collected data.

With the rapid development of artificial intelligence (AI) technology, its application in the field of auditing has gained increasing attention. This paper explores the application of AI technology in audit risk assessment and control (ARAC), aiming to improve audit efficiency and effectiveness. First, the paper introduces the basic concepts of AI technology and its application background in the auditing field. Then, it provides a detailed analysis of the specific applications of AI technology in audit risk assessment and control, including data analysis, risk prediction, automated auditing, continuous monitoring, intelligent decision support, and compliance checks. Finally, the paper discusses the challenges and opportunities of AI technology in audit risk assessment and control, as well as future research directions.

This article examines the history of Russian colonization in Kazakhstan, focusing on identity, resistance, and independence within Russia’s neo-imperial ambitions. It addresses the socio-political barriers in postcolonial Kazakhstan due to ties with Russia and explores how the Soviet migration policies shaped Kazakhstan’s demographic and political landscape. The study outlines the phases of Russian colonization, contrasting Russian narratives of a civilizing mission with Kazakh perspectives on exploitation and cultural erasure. Using postcolonial theory, it deconstructs these narratives and reveals power dynamics. Kazakh literature and poetry are analyzed as mediums of resistance, emphasizing the horse as a symbol of cultural identity. The article concludes by discussing the post-Soviet cultural transformations and the role of literature in nation-building, highlighting the importance of reclaiming cultural symbols and myths for understanding Kazakhstan’s colonial history and postcolonial transformation.

This study aims at predicting the interrelationship between among Chat GPT with its six dimensions, tourist’s satisfaction and Chat GPT usage intention as perceived by tourist, and as well as to examine the moderating effect of traditional tour operator services on the relationships between all the variables. Data were collected from 624 tourists. The study hypotheses were tested and the direct and indirect effects between variables were examined using the PLS-SEM. The SEM results showed that Chat GPT’s six dimensions have a positive and significant direct impact on tourist’s satisfaction, and emphasis the moderating role of Traditional Tour Operator Services “TTOS” on the relationship between GPT’s six dimensions and “TS”, and on the relationship between ‘TS” and Chat GPT usage intention. These findings yield valuable insights for everyone interested in the use of IT in the tourism industry, and provide effective strategies for optimizing the use of technological applications by traditional tour operators.

Measuring the performance of healthcare organizations has become a crucial yet challenging task, which is the focus of this study. The paper’s primary goal is to identify the key factors that shape healthcare organizations’ performance management systems in Serbia, which can serve as useful guidelines for implementing sustainable solutions. Additionally, the aim is to emphasize the importance of a broad implementation of performance measurement systems to facilitate strategy implementation and enhance organizational effectiveness. The empirical research involved an online survey of 280 respondents, including managers, executives, and operational staff from both private and public healthcare organizations in Serbia. Statistical analysis was conducted using SPSS 20. The study identifies key challenges, including the lack of a developed performance measurement system, weak support from information and management systems for performance improvement, and an organizational structure that does not support performance enhancement. Furthermore, it has been found that a deeper understanding of the essence of measurement significantly contributes to identifying problems in its application in the healthcare sector. It was also observed that the more challenges identified in the measurement process, the less favourable the perception of the flexibility and adaptability of the system.

This study examines the factors that predict successful transition outcomes for college students with impairments in Saudi Arabia. A stratified random sample method was employed to survey 500 people across various educational levels and disability categories. The efficacy of Individualized Education Plans (IEPs), cultural variables, and perceptions of transition services have been investigated using Structural Equation Modeling (SEM). The study revealed significant positive correlations between the efficacy of Individualized Education Programs (IEPs) and favourable impressions of transition services. Additionally, it highlighted the impact of cultural variables on transition results. The assessment of indirect effects confirmed that cultural variables partially mitigate the connection between IEPs and transition assistance. The document provides practical suggestions for enhancing the efficiency of Individualized Education Programs (IEPs), improving cultural proficiency among educators, facilitating collaboration among stakeholders, and guiding policies. These findings contribute to ongoing efforts to develop inclusive and culturally appropriate transition programs for students with impairments in Saudi Arabia.