Search Results for artificial-intelligence-technologies
Abstract
This research aimed to highlight the role of artificial intelligence (AI) technologies in improving the quality of government financial reports to support the efficient allocation of resources for poverty reduction programs. To achieve this goal, the researchers adopted descriptive and analytical methodologies to theoretically characterize the research variables, prepare the practical component, and analyze the data collected on the research problem using the Statistical Package for the Social Sciences (SPSS). Data was collected on the main research variables: AI technologies (using the Digital Transformation Index), the Government Support Index, and the Poverty Rate. The Unemployment Rate was used as a control variable, given its direct impact on poverty. The study reached several conclusions, most notably that the Digital Transformation Index plays a role in poverty reduction by improving financial reporting and enhancing resource management efficiency. The Government Support Index did not show a significant impact, reflecting the inefficiency of resource allocation. The research recommended increasing reliance on AI technologies in this field to ensure the proper reallocation and distribution of resources to those in need, thereby addressing the problem of poverty in Iraq.
Abstract
This study aims to examine the impact of Artificial Intelligence (AI) technologies on enhancing the quality of digital banking services, with a particular focus on electronic trust as a mediating variable in this relationship. The research problem stems from the challenge faced by banks in balancing the adoption of intelligent technological solutions with maintaining high levels of customer trust, especially within a rapidly evolving digital environment characterized by increasing cyber risks. The study adopted a descriptive-analytical approach and was conducted on a sample of 200 bank customers in Iraq. The findings reveal a significant positive direct effect of AI technologies on digital service quality. However, this effect becomes stronger and more statistically significant in the presence of high electronic trust, confirming its mediating role. Accordingly, the study recommends that banks pursue an integrated strategy combining advanced intelligent systems with robust cybersecurity measures and technological transparency to foster digital reliability and sustainable customer relationships grounded in trust and perceived value.
Abstract
This research aims to analyze the role of integrating artificial intelligence (AI) technologies in promoting digital transformation in the banking sector. This is of great importance due to its significant impact on monetary policy. Through the application of digital technologies, banks and financial institutions can greatly improve their procedures, leading to changes in banking liquidity. Digital transformation can contribute to increased cash flows and improved liquidity management, thus affecting the central bank's ability to implement monetary policy effectively. Thanks to big data analytics and AI, banks can better identify economic needs, influencing interest rate decisions. Therefore, it can be said that digital transformation plays a significant role in shaping monetary policy and opens the door to significant improvements in the management of fiscal and monetary policies and creative thinking skills. Traditional reliance on auditing methods does not keep pace with rapid technological developments, and auditors' weak adoption of creative thinking methods in addressing audit problems negatively affects the quality of audits and the accuracy of their results. The importance of this research lies in its aim to provide a comprehensive framework that combines modern technological tools and creative approaches to digital work, thereby contributing to the development of critical practices and enhancing the quality of its results according to standards of efficiency and effectiveness. The advanced statistical software Smart Pals and appropriate statistical methods were used to test the hypotheses. The results showed a statistically significant effect of using artificial intelligence technologies (expert systems, machine learning, continuous auditing, natural language processing, and robotic process automation) across all dimensions. This indicates the importance of AI applications in improving the quality of external auditing. Furthermore, the use of AI technologies has a positive impact on investor decisions through the quality of external auditing. Based on these findings, the researcher recommends that all accountants and auditors keep pace with technological developments and respond to changes in the surrounding environment by developing their AI skills. Audit firms should also be encouraged to adopt AI technologies in their work by replacing manual systems with computerized systems. The study aimed to analyze the impact of digital transformation indicators (ATMs, electronic payment cards, electronic point-of-sale systems, and instant settlement transfers). Adopting digital technologies has contributed to reducing reliance on cash and increasing the efficiency of monetary policy. However, in Iraq, limited effects were observed due to structural challenges such as weak infrastructure and economic instability.
Abstract
This research explores the impact of various factors on managers' intention to use artificial intelligence (AI) technologies in human resource management practices, through a survey conducted with a sample of 80 individuals from 6 private colleges. The descriptive analytical method was utilized in the study, examining several key dimensions representing the independent variable, including (administrative dimension, cultural dimension, economic dimension, legal and ethical dimension, social dimension, and psychological dimension).
The results indicate that these factors significantly affect managers' intention to use AI, which in turn reflects on human resource management practices, including (recruitment and selection, training and development, performance evaluation, compensation and benefits management, and labor relations management). The study concluded that addressing the mentioned factors enhances the effective use of AI, contributing to the improvement of the effectiveness and efficiency of human resource management practices.
Therefore, the research recommends that institutions develop comprehensive strategies to enhance awareness and understanding among managers and employees regarding the benefits of AI, along with establishing clear policies to ensure legal and ethical compliance and fostering a culture of innovation and change.
Abstract
The study aims to identify the conceptual framework of sustainable accounting and the role of Artificial Intelligence (AI) technologies in enhancing corporate reporting. Furthermore, it demonstrates the impact of adopting sustainability accounting on the financial reporting of a sample of five companies listed on the Iraq Stock Exchange from the year (2019) to the year (2022). The study relied on the descriptive analytical approach using the SPSS program. The main findings reveal the absence of a statistically significant relationship regarding the influence of disclosure in financial reports to apply sustainability standards on investors' decisions, as well as the absence of a significant relationship between the impact of sustainability accounting and the quality of financial reports. Integrating AI tools—such as machine learning and automated ESG analytics—can bridge these gaps by improving data accuracy, reducing reporting bias, and enhancing transparency. The study recommended a set of recommendations, the most important of which is obligating auditors specialized in the profession of auditing companies not to express an opinion on the validity of financial reports if they are devoid of sustainability accounting reports and supported AI-driven disclosure metrics.
Abstract
This study aimed to analyze the level of digital readiness and managerial perception of artificial intelligence applications in Jordan's five-star classified hotels. The study employed a descriptive-analytical approach and was applied to a sample of 342 managers and employees from 28 five-star hotels in Amman, Aqaba, and Petra. The results revealed that the level of digital readiness was moderate (3.42), while managerial perception was high (4.18). The findings also demonstrated a strong positive correlation (r=0.742, p<0.001) between digital readiness and managerial perception of artificial intelligence.
The contribution of this study lies in providing a comprehensive scientific framework that links digital transformation capabilities with hotel innovation through exploring the role of managerial perception as a critical factor in accelerating the adoption of artificial intelligence technologies. Furthermore, the study contributes to bridging the research gap in Arabic literature by presenting empirical evidence on the reality of Jordanian hospitality, thereby providing decision-makers and managers with a foundation for developing more sustainable digital strategies capable of enhancing competitive advantage.
The study recommends the necessity of investing in human capital and developing supportive national digital policies to accelerate digital transformation in the sector. Additionally, the study recommended developing comprehensive strategies to enhance digital readiness and build managerial capabilities in the field of artificial intelligence, with emphasis on investing in human capital.
Abstract
The increasing proliferation of artificial intelligence tools in the university environment has led to noticeable changes in learning approaches and the completion of academic tasks, raising debate about their impact on the development of students’ critical and creative thinking skills. While some argue that these tools enhance knowledge production, others contend that they may reduce cognitive effort and independent analytical thinking. This study adopts a descriptive-analytical approach through a questionnaire administered to a random sample of university students from various academic disciplines. The aim is to measure the level of use of artificial intelligence tools and examine the nature of their impact on critical and creative thinking skills, including analysis, inference, problem-solving, and brainstorming. The study also seeks to answer a set of research questions related to the extent of students’ use of AI tools, their contribution to improving higher-order thinking skills, and the presence of statistically significant differences based on selected demographic and academic variables. The findings are expected to contribute to developing a scientific perspective on how artificial intelligence tools can be effectively and responsibly integrated into higher education in a balanced manner that enhances students’ thinking skills without negatively affecting their cognitive independence. Moreover, the results may assist policymakers and universities in designing educational policies that promote the conscious and responsible use of artificial intelligence technologies in the learning process.
Abstract
The article considers the historical foundations of Iraq for ensuring environmental and economic sustainability in the context of digitalization. The article presents facts about the contribution of the thousand-year-old culture of Iraq to world culture and the relevance of this contribution in solving the problems of sustainable development. A critical assessment of training technologies and the application of popular neural networks is given. It is proposed to use the experience of Belarus in planning and implementing strategic projects in Belarus in relation to the conditions of global digitalization and to use the results of Belarusian scientists in linguistic analysis of texts to create national neural networks. The importance of an ecosystem approach in solving the problems of socio-economic development of the country is emphasized. The relevance and necessity of appropriate training of personnel for the digital economy, the most important part of which in modern conditions is digital culture and the formation of a national market for high-quality data is substantiated.