The role of technology in stimulating economic growth needs to be reexamined considering current heightened economic conditions of Asian developing Economies. This study conducts a comparative analysis of technology proxied by R&D expenditures alongside macroeconomic variables crucial for economic growth. Monthly time-series data from 1990 to 2019 were analyzed using a vector error correction model (VECM), revealing a significant impact of technology on the economic growth of India, Pakistan, and the Philippines. However, in the cases of Indonesia, Malaysia, Thailand, and Bangladesh, macroeconomic indicators were found more crucial to their economic growth. Results of Granger causality underlined the relationship of R&D expenditures and macroeconomic variables with GDP growth rates. Sensitivity analyses endorsed robustness of the results which highlighted the significance and originality of this study in economic growth aligned with sustainable development goals (SDGs) for developing countries.

Background: The term “corporate culture” is used to describe a company’s long-standing norms and practices, as well as the staff’s views and the anticipated value of their job. Executives may need to adjust their leadership styles to achieve the organization’s goal, which may have consequences for the satisfaction of the workforce. Therefore, it is essential to appreciate the relationship between business ethos, management style, work performance, mental health and employees’ job satisfaction. Methods: Researchers was conducting a cross-sectional survey of Saudi Arabian and Indian employees. Data was be collected using a structured questionnaire. To test the reliability of the data, they will be analysed by “Cronbach’s a and confirmatory factors”. SEM was be used to show the relationships of organizational cultures and leadership behaviour on work performance, mental health and job satisfaction through IBM-SPSS and SmartPLS software. Scope: A corporation with a strong culture and effective leadership shares principles and norms of behaviour with its workers, which should aid them in attaining their goals and objectives. Employees could gain work recognition, mental piece, work performance and job satisfaction when they can accomplish the obligations allotted to them by the company. Results: Corporate culture were significantly (positively) correlated with work performance, mental health and job satisfaction. In the same way, leadership behavior was significantly (positively) correlated with work performance, mental health and job satisfaction. Conclusions: The organisational culture holds significant importance, exerting a substantial influence on the overall well-being and productivity of the work environment. The acknowledgement and acceptance of the organisational ethos by workers can have a significant impact on their work behaviour and attitudes when it comes to communication and promotion. When there is a positive interaction between leadership and employees, the latter are more likely to actively contribute to team collaboration and interaction. Additionally, they are more likely to be motivated to achieve the organization’s assigned mission and objectives. As a result, work performance, mental health, and job satisfaction are enhanced.

The emergence of the COVID-19 pandemic led to the need to move educational processes to virtual environments and increase the use of digital tools for different teaching uses. This led to a change in the habits of using information and communication technologies (ICT), especially in higher education. This work analyzes the impact of the COVID-19 pandemic on the frequency of use of different ICT tools in a sample of 950 Latin American university professors while focusing on the area of knowledge of the participating professors. To this end, a validated questionnaire has been used, the responses of which have been statistically analyzed. As a result, it has been proven that participants give high ratings to ICT but show insufficient digital competences for its use. The use of ICT tools has increased in all areas after the pandemic but in a diverse way. Differences have been identified in the areas of knowledge regarding the use of ICT for different uses before the pandemic. In this sense, the results suggest that Humanities professors are the ones who least use ICT for didactic purposes. On the other hand, after the pandemic, the use of ICT for communication purposes has been homogenized among the different knowledge areas.

The financial services industry is experiencing a swift adoption of artificial intelligence (AI) and machine learning for a variety of applications. These technologies can be employed by both public and private sector entities to ensure adherence to regulatory requirements, monitor activities, evaluate data accuracy, and identify instances of fraudulent behavior. The utilization of artificial intelligence (AI) and machine learning (ML) has the potential to provide novel and unforeseen manifestations of interconnectivity within financial markets and institutions. This can be represented by the adoption of previously disparate data sources by diverse institutions. The researchers employed convenience sampling as the sampling method. The form was filled out over the period spanning from July 2023 to February 2024, and it was designed to be both anonymous and accessible through online and offline platforms. To assess the reliability and validity of the measurement scales and evaluate the structural model, we employed Partial Least Squares (PLS) for model validation. Specifically, we have used the software package Smart-PLS 3 with a bootstrapping of 5000 samples to estimate the significance of the parameters. The results indicate a positive and direct connection between artificial intelligence (AI) and either financial services or financial institutions. On the contrary, machine learning (ML) exhibits a strong and positive association among financial services and financial institutions. Similarly, there exists a positive and direct connection between AI and investors, as well as between ML and investors.

With the rapid development of modern AI painting, Chinese university fine arts education is facing numerous challenges and opportunities. This paper analyzes the impact of modern AI painting on traditional art creation and its implications for student skill development. Additionally, it explores the key areas where Chinese university fine arts education needs to transform, including curriculum, teaching methods, and teacher training, while proposing corresponding strategies.

This study analyzes the highly disruptive transportation business in Indonesia. The purpose of observation is to completely synthesize disruptive transportation that causes bad externalities in society. Data sources come from primary data of interviews and secondary data of related literature. The research method uses critical qualitative with a combination of in-depth interviews with several stakeholders. Key findings suggest that trust, consistency, capital ownership and proximity of new entrants to incumbents are important in disruptive innovation processes, empirical implications that transportation in Indonesia has undergone a definite economic shift. The results showed that although the government has publicly expressed its full support for any individual who will develop a business in the digital economy model, it is not effective enough to be consistent in the transportation business. Policy recommendations include adaptive training incentive programs for incumbent groups and accelerated funding assistance for new entrant groups, in addition to strengthening active collaboration between the government and the private sector is urgently needed.