Technological infrastructure plays a critical role in a country’s development and progress, enabling economic growth, innovation, and improving citizens’ quality of life. This study explores the potential of digital entrepreneurship and digital transformation in reducing unemployment in Oman. With the increasing reliance on digital technologies, governments need to invest in technological infrastructure that can meet the evolving needs of society. This study investigates the potential of digital entrepreneurship and digital transformation in reducing unemployment in Oman. This study highlights the importance of technological infrastructure in enabling economic growth and improving citizens’ quality of life. The findings indicate that digital entrepreneurship offers equal opportunities for both genders, potentially empowering women in entrepreneurship and addressing unemployment challenges. Additionally, the study shows a positive relationship between age and digital entrepreneurship aspirations. To foster entrepreneurship, the study suggests empowering young job seekers with digital knowledge and enabling graduates to create new opportunities for businesses and entrepreneurs. The study found significant effects of “Unemployment in the Sultanate of Oman (reasons and solutions)” on occupation, as indicated by a between-group sum of squares of 8.773, two degrees of freedom, and a mean square of 4.387, with an F value of 11.274, and a significance level of 0.000. On the other hand, the “Digital Entrepreneurship Sector” significantly affected occupation, with a between-groups sum of squares of 4.394, two degrees of freedom, and a mean square of 2.197, and an F value of 10.267 with a significance level of 0.000. Similarly, for the “Entrepreneurship Digital Infrastructure” variable, there was no significant difference between male and female mean scores (t = −1.516, df = 206, p = 0.131). Overall, the results indicate that the digital entrepreneurship sector significantly impacts occupation, while the entrepreneurship digital infrastructure has no significant effect. Additionally, female respondents showed a higher mean score in perceptions of “Unemployment in the Sultanate of Oman (reasons and solutions)” compared to male respondents.

Education is the foundation of progress, development, and the growth of individuals and societies. Knowledge-based education plays a significant role in enhancing educational systems, resulting in improved learning outcomes, enriched knowledge, job creation, and reduced unemployment. It also supports the alignment between educational outcomes and labor market needs by continuously adapting to innovations and advancements. In Oman, the educational system is governed and developed using modern technologies, in alignment with Oman Vision 2040. This research outlines strategies and methods to strengthen knowledge-based education in Oman, with the goal of reducing unemployment and providing suitable job opportunities for Omanis across various sectors. This approach heavily depends on the production and utilization of knowledge and information as key resources for economic growth, addressing gaps and shortcomings in the application of the knowledge economy. The proposed model involves leveraging technology, improving education, and fostering research and development with modern technologies and artificial intelligence tools to enhance educational systems and generate employment opportunities. The study aims to explore how education can contribute to reinforcing the knowledge economy in Oman by advancing educational systems and creating new jobs, focusing on the challenges and opportunities within the framework of Oman Vision 2040, which seeks to achieve sustainable economic growth. Additionally, the research discusses differences in averages among respondents' educational qualifications, with the highest average recorded for PhD holders at approximately 4.5% that holders of these qualifications are the ones who can be relied upon to convey and disseminate the culture of the knowledge economy among university and college students. The lowest for diploma holders is at less than 4.2%. The statistical significance (sig.) of the distribution of differences between groups was 0.926% for the first item, 0.601% for the second item, and 0.019% for the third item. The F-statistic in the ANOVA analysis revealed varying percentages, indicating different impacts of the studied factors on improving education and promoting the knowledge economy in Oman.

Education field is a sign of advancement over the countries that can adopt technology to serve it. It will help to improve and enhance future achievements and be in touch with the development of technology utilizing solutions that extract student data, including their school records and other vital information about their performance, which can facilitate this process. These data are then analyzed to identify factors that affect the academic performance of the students at the school by expanding data mining techniques to enhance student academic performance. These factors are examined to develop a predictive model. Machine learning (ML) is one artificial intelligence (AI) field that can use such a model that supports educational institutions and decision-makers. A predictive method is applied using the data mining (DM) technique to take proactive action in identifying and anticipating the student's path. The data was analyzed, and the findings showed that the decision tree algorithm recorded the fastest training time for every 1000 rows. Also, the fast-scoring time for 1000 rows was in the decision tree algorithm, which was around 195 milliseconds, and the longest scoring time occurred in the random forest algorithm, which was two seconds. The top percent of classification errors reached 51% for the logistic regression algorithm and around +-1.5% of standard deviation. It took 520 mile-second for scoring time with 690 Gains for 67 m/s training time in every 1000 rows of the datasets. The findings of this study can help parents and teachers better understand the factors that influence students' academic performance and support them in assisting students with improving their academic performance.

Financial reporting processes in academic institutions are one of the main sectors that must be developed by adopting Artificial Intelligence (AI) tools and applications. The study focuses on adopting artificial intelligence tools in financial reporting, as one of the facilities provided to improve the process of financial reporting at the University of Nizwa, Oman, as one of the academic situations dealing with AI transformation. The outcome of reporting in the financial sectors almost plays a crucial role in ensuring transparency, accountability, and compliance with International Financial Reporting Standards (IFRS); however, traditional methods often suffer from inefficiencies, human errors, and delays. By automating repetitive tasks, enhancing data accuracy, and enabling real-time analytics, AI offers promising solutions to these challenges. Employing a mixed-methods approach, the study combines quantitative and qualitative data through structured questionnaires distributed to financial professionals at the University of Nizwa and secondary data analysis from literature and documents. The findings reveal that AI significantly enhances financial reporting accuracy (80% agreement), timeliness (75% improvement in report generation), and compliance with IFRS (65%). Statistical analysis, including chi-square tests, confirms a strong correlation between AI adoption and these improvements. However, key challenges such as high implementation costs (78%), limited technical expertise (65%), and resistance to change hinder adoption. Regression analysis highlights that management support (β = 0.65) and IT infrastructure (β = 0.52) are critical success factors for AI integration. According to the study findings, the most recommendation in providing training and activities, supporting in strengthening IT and adopting AI with securing management support. A phased implementation strategy is suggested to mitigate cost concerns and ease the transition process. The one challenge is the missing of create a strategic plan in impact the financial reporting for getting success vision and mission.