Search Results for artificial-intelligence

Abstract

The study addresses the nature of the intertwined and integrated relationship between the organizational health of business organizations in the Iraqi tourism sector and strategic immunity, according to what these variables witness from the emergence of artificial intelligence with its capabilities and driving powers in supporting the organizational environment to predict potential risks and challenges during future periods, as well as increasing the level of transparency in the business environment and improving the integration of artificial intelligence in the organizational circle, starting from planning and passing through describing the nature of internal processes, reaching the achievement of targeted institutional goals. Thus, the three variables: artificial intelligence, strategic immunity, and organizational health are no longer just individual concepts, but have become institutionalized strategic tools prepared for the future.

One of the most important determinants of the current study lies in addressing an underexplored research area. To the best of our knowledge, there is a notable scarcity of prior studies that integrate strategic immunity, organizational health, artificial intelligence, and organizational culture within a unified framework. Existing Arab and international studies tend to examine these dimensions separately, rather than as interconnected drivers of digital organizational resilience.

Abstract

The research aims to provide a scientific framework on artificial intelligence and determine the impact of using artificial intelligence on audit quality in light of the digital transformation and review some studies on the role of artificial intelligence on audit quality. To achieve this goal and by adopting the descriptive, inductive and analytical approach, a number of hypotheses were formulated and by designing a questionnaire distributed to the research sample represented by accountants and auditors, The number of questionnaires was (70), where the questionnaire was subjected to statistical analysis using the (SPSS) program and several conclusions were reached, the most important of which is that there is a statistically significant correlation between artificial intelligence and audit quality in light of the digital transformation. At a significance level of (1%), meaning that the decision result is acceptable with a confidence level of (99%). The answers of the research sample agreed that the use of artificial intelligence, including its technologies, most notably expert systems in light of the digital transformation, achieves audit quality. In light of the conclusions, a number of recommendations were made, the most important of which is encouraging economic units to transform digitally by replacing traditional accounting systems with computerized systems to encourage auditors to use artificial intelligence in the auditing process, as well as holding courses and conferences to enhance auditors’ awareness of the importance of using artificial intelligence and its techniques using digital auditing and its role in achieving audit quality in light of the rapid spread of technology

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 research aims to identify the tools and areas of artificial intelligence that are subject to tax in the digital environment, and how to account for them in light of the problems and challenges resulting from the absence of legislation that is compatible with the digital nature of such transactions. This is done by developing a proposed integrated framework for tax accounting in the context of digital transformation and artificial intelligence. The research reached several conclusions, the most important of which is the lack of legislation covering tax transactions in the digital environment and in light of the variables of artificial intelligence. This is in addition to some instructions that have not been unified at the international level, in addition to the lack of mandatory implementation. The research included several recommendations, most notably the need to unify legislation related to tax accounting at the global level and the need to keep pace with global developments.

Abstract

The research seeks to achieve a set of objectives, the most important of which is measuring the impact of using artificial intelligence techniques in improving the disclosure process in financial statements and its reflection in sustainable development. In consistency with the importance of the research and through its problem, the researchers sought to test the research hypotheses. To achieve this, a questionnaire was designed using (Google Form) and distributed on line to the elements of the research sample that were selected using the intentional sample consisting of employees of the departments of (financial affairs, auditing and internal control). (50) answers were obtained. Through the Statistical Package for Social Sciences (SPSS) application, the results of the questionnaire were analyzed. According to the applied framework of the research, a set of findings were reached, the most important of which were: Robotic process automation technology supports the accounting disclosure process in the financial statements prepared by the Presidency of the University of Basrah, which achieves sustainable development elements. The researchers presented a set of recommendations, the most prominent of which is that the Presidency of the University of Basra issue rules and instructions under which it is committed to converting to Use of artificial intelligence techniques.

Abstract

Given the swift digital changes occurring in the Banking industry, the purpose of this paper is to examine how well artificial intelligence systems can forecast and protect against future disasters.  By utilizing its skills in big data analytics, forecasting financial behavior, and more accurately and effectively managing risks, artificial intelligence (AI) is increasingly regarded as a crucial component in the development of banking systems and improving their operational efficiency.

 By enhancing client satisfaction, tailoring banking services to meet the demands of each individual, and cutting down on operational errors and administrative expenses, banks hope to gain a competitive edge by utilizing these technologies.  AI also helps to speed up credit decisions, make it possible to identify financial crime early, and create clever marketing plans based on forecasts of future market trends.

In order to ensure financial sustainability and achieve integration between digital transformation and the demands of banking innovation, studies show that the future of AI encompasses strategic, cultural, human, technological, and organizational dimensions in addition to technical ones.

 The paper also examined a number of anticipated long-term effects of AI applications, such as increased forecasting precision, lower operating expenses, better customer satisfaction, increased worker productivity, and assistance with investment choices.  The findings show that implementing AI applications in the banking sector is a strategic requirement to guarantee long-term growth and competitiveness in the digital era, not a technical luxury.

In order to enhance lending decisions and lower default risks, the paper also assesses how well a number of categorization algorithms work in assessing loan applicants' creditworthiness.  Using a dataset that represented the traits and financial activities of clients, seven machine learning techniques were used: Gradient Boosting, Random Forest, Extra Trees, Gaussian Naive Bayes, Logistic Regression, SVC-RBF, and KNN.

The paper used a database of 21 variables for loan applicants. Numerical variables included (age, income, credit score, debt-to-income ratio, and loan amount). Descriptive variables included (loan purpose, region, marital status, employer, educational level, and application channel). Binary variables included (whether or not the applicant had a history of default). These variables were used to predict the approval or rejection decision, with the dependent variable being represented by two values: 0 for rejection and 1 for approval.

The models were evaluated using the following six key performance indicators: Accuracy, Precision, Recall, F1 Score, Receiver Operating Characteristic Area Under the Curve (ROC AUC), and Brier Score.   The findings demonstrated that the Gradient Boosting algorithm performed best overall in both probability prediction quality and customer differentiation across different risk levels.  The Random Forest algorithm, which showed stability and balanced metrics, came next.  On the other hand, despite its moderate performance, Logistic Regression provided great interpretability, while the Gaussian Naive Bayes algorithm demonstrated high sensitivity in identifying high-risk customers.  In terms of overall accuracy and probability quality, some models—like SVC-RBF and KNN—performed worse.

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

Artificial intelligence (AI) applications are essential for enhancing payment security and improving customer experience in financial institutions. This research aims to examine the challenges faced by Mastercard in Australia and Visa in Singapore in implementing these technologies. The study focuses on three main areas: challenges related to fraud and privacy, the strategies employed by both companies to address these challenges, and the impact of AI applications on customer satisfaction and trust. The research adopts an analytical methodology that combines both qualitative and quantitative data, relying on diverse sources including academic studies and annual reports. The findings reveal that the effectiveness of AI applications varies across the two markets, reflecting different responses to local challenges. For instance, Mastercard demonstrates a greater reliance on machine learning technologies in Australia to combat fraud, while Visa in Singapore focuses more on enhancing privacy and data protection. The study offers strategic recommendations aimed at improving payment security and customer experience, such as increasing transparency in data usage and strengthening communication with customers. This research contributes to a deeper understanding of the role of AI in financial services, providing valuable insights for companies and practitioners in the sector. By addressing the unique challenges of each market, customer satisfaction can be enhanced and greater trust in digital payment services can be fostered.

Abstract

The research aims to diagnose the contribution of production scheduling rules in activating cyber production requirements and to determine the implications of this relationship at the level of the General Company for Electrical and Electronic Industries in Baghdad as a field of research, as manufacturing companies today face a major challenge represented by increasing complexity and responding to dynamic changes in addition to achieving short delivery times. As planning, control and scheduling mechanisms cannot deal efficiently under complex, dynamic and unexpected circumstances, this requires a move towards creative activities and problem solving using collaborative decision-making mechanisms between human and artificial intelligence. Therefore, a move was made towards creating requirements for the cyber production system that would have a positive impact. On artificial and human intelligence through trustworthy interaction and integration into the cyber production system. The research problem is demonstrated by answering the following question: Do production scheduling rules affect the activation of cyber production requirements in the researched company? To answer the research questions, reliance was placed on the descriptive analytical approach and on tools and methods for collecting data and information, represented by personal interviews and a questionnaire form that was distributed to 60 individuals working in the company, the research sample. The importance of the research is evident through its treatment of two variables that have become of great importance in our world today, as they It dealt with production scheduling as a tool for allocating resources and loading according to its rules, in addition to its endeavor to activate the requirements of cyber production, which is one of the applications of the fourth generation of industry and is consistent with artificial intelligence methods. In order to analyze the results of the practical side, a set of hypotheses were developed and tested in the company in the field of research using the statistical program. (SPSS VE 26) In addition to a number of statistical methods, the research reached a set of conclusions, the most prominent of which is: The existence of a significant correlation was achieved between production scheduling in terms of its rules (in general and individually) and cyber production in terms of its requirements (in general) in the company, the field of research, and this explains that the company’s management It was able to employ its rules to process requests and arrange work in an effort to enhance cyber production requirements. He presented a set of proposals, the most prominent of which are: increasing the company’s management’s interest in the field of research in production scheduling rules, deepening their importance, and enhancing investment in other rules according to customer requests by making adjustments to scheduling from time to time to avoid delays. In delivering products to customers.

Abstract

This study examines the preventive role of Legal Technology (LegalTech) in monitoring anti-competitive behaviors, with a particular focus on current challenges in Iraq. The problem arises from the limitations of traditional tools in detecting collusion and monopolistic practices, in contrast to the potential offered by LegalTech solutions such as artificial intelligence algorithms and digital reporting platforms. The research adopts a descriptive-analytical and comparative methodology, reviewing successful international experiences (the European Union, Singapore, and the United Kingdom), alongside an Iraqi case study in a key sector. The underlying hypothesis suggests that while LegalTech provides promising opportunities for regulatory oversight, its effectiveness in Iraq depends largely on the development of digital and legislative infrastructures. Preliminary findings indicate that LegalTech can play the role of an "early warning mechanism" against anti-competitive practices. However, Iraq faces structural and legislative challenges that require urgent addressing.

Accordingly, the research seeks to provide a cognitive and policy contribution that deepens understanding of the preventive role of LegalTech and supporting Iraqi decision-makers in addressing current challenges, thereby fostering a fairer and more competitive economic environment.

Abstract

This research aims to explore the modern marketing of drugs through smartphone applications, focusing on the mechanisms of reaching and influencing consumers. With the rapid technological advancement and the widespread use of smartphones, these devices have become a powerful tool exploited for illegal purposes, such as drug promotion. The research examines how drug dealers utilize modern technologies, including encryption and targeted advertising, to reach a wide audience while maintaining the confidentiality of their operations. The study reviews the digital methods employed in this field and analyzes their impact on consumer behavior from psychological and social perspectives. Additionally, the research addresses the role of applications and digital platforms in facilitating this type of illegal marketing and how personal data and artificial intelligence algorithms are exploited to attract customers. Through data analysis and a review of previous literature, the research provides a comprehensive view of the ways drug dealers adapt to the rapidly changing digital environment and how they target specific consumer groups. Ultimately, the research aims to offer practical recommendations that help develop effective strategies to reduce the impact of this type of marketing on society, emphasizing the need to strengthen digital oversight and raise public awareness of the risks of exploiting technology for illegal activities.

Abstract

يؤدي الذكاء الاصطناعي دورا هاما وأساسيا في مختلف مناحي الحياة سيما في السنوات الأخيرة، فلم تعد الاستفادة من الذكاء الاصطناعي مقتصرة على البرمجيات فقط، بل امتدت الى مجالات الطب، والهندسة، والزراعة، وغيرها، وفي الآونة الأخيرة، اتجهت الدول نحو دمج الذكاء الاصطناعي وتوجيهه لتحقيق أهداف التنمية المستدامة ، بالشكل الذي يتوافق مع مستوى التنمية الاقتصادية والاجتماعية والبيئية المستدامة.

ولم تكن الدول العربية بمنأى عن هذه المساعي الدولية للاستفادة من الذكاء الاصطناعي ولاسيما في تحقيق التنمية المستدامة ، في ظل صعوبة الأوضاع الاقتصادية والسياسية والاجتماعية التي تواجهها،  ويزيد من صعوبة تأثيرها كون معظم الدول العربية دولاً نامية ، مما يزيد من أهمية تمسكها بضرورة الاستفادة من تطبيقات الذكاء الاصطناعي من أجل تحقيق أهداف التنمية المستدامة ، وعلى رأسها القضاء على الفقر وتعزيز فرص المساواة بين الجنسين وتحسين مستويات التعليم والصحة.

ويعد تحقيق أهداف التنمية المستدامة من أهم أولويات الدول وخاصة في ظل التحديات المختلفة التي يواجهها العالم سواء تحديات اقتصادية أو سياسية أو بيئية. وفي ظل التطور التكنولوجي اللامحدود وظهور تقنيات الذكاء الاصطناعي كان لابد أن تتوجه الدول نحو الاستفادة من هذه التقنيات وتطويعها نحو تحقيق أهدافها وخاصة أهداف التنمية المستدامة.

وقد لعبت منظمة اليونسكو دورا فعالا في الاستفادة من الذكاء الاصطناعي في تحقيق أهداف التنمية المستدامة من خلال دورها في مساعدة الدول في ذلك وبما يتناسب مع كل دولة حيث تضع المعايير وتساعد في وضع السياسات وبناء قدرات الدولة.

وفي 2019 ظهرت وثيقة (إجماع بكين) والتي وافق فيها ممثلو الدول والمنظمات الدولية والمؤسسات الأكاديمية والمجتمع المدني والمجتمع الخاص على أهمية الذكاء الاصطناعي في التعليم والبحث العلمي، كما تؤكد الوثيقة على وجود العنصر الإنساني واهميته في نشر تقنيات الذكاء الاصطناعي في التعليم لتعزيز التنمية المستدامة وحماية حقوق الانسان من خلال التعاون بين الانسان والالة.

و يمكن تعريف الذكاء الاصطناعي بأنه علم فائق التطور مشتق من علوم الحاسبات يحاكي العقل البشري بأعلى مستويات ذكاؤه ويستخدم لأداء كل المهام البشرية وحل كافة المشاكل التي يواجهها الانسان بطرق تكنولوجية متطورة.

ومن الجدير بالذكر أن الهدف الرئيسي لأبحاث الذكاء الاصطناعي في هذه المرحلة هو  انتاج ابتكارات من شأنها محاكاة الذكاء البشري وأداء نفس مهامه كحل المشكلات واتخاذ القرارات، ولكن مع تطور العالم وتسارع وتيرة الاحتياجات والمشاكل الاقتصادية والبيئية أدرك العلماء أنهم بحاجة الى خوارزميات وتقنيات أكثر تقدما.

وقد أدت جائحة كورونا إلى الزامية توجه العالم نحو استخدام تطبيقات الذكاء الاصطناعي، بل وتحديثها بشكل يساعد على حل أزمة كورونا أو على أقل تقدير الحد من تهديداتها ونتائجها. ومن أبرز استخدامات تطبيقات الذكاء الاصطناعي خلال جائحة كورونا استخدامها في العملية التعليمية وكذلك العملية الطبية.

فضلاً عن  أن تطبيقات الذكاء الاصطناعي في عصرنا الحديث تستخدم في شتى المجالات العسكرية والبيئية والاقتصادية والتعليمية ومن بين هذه التطبيقات:

• السيارات ذاتية القيادة والطائرات بدون طيار.
• الانسان الآلي والذي يتواجد حاليا في المستشفيات والجامعات وبعض المطارات.
• برامج الذكاء الاصطناعي في تحليل البيانات الاقتصادية كالبورصة وتطوير أنظمة تداول الأسهم.
• الأجهزة الذكية القادرة على القيام بالعمليات الذهنية كفحص التصاميم الصناعية، ومراقبة العمليات واتخاذ القرارات.
• التطبيقات الذكية الخاصة بتحويل الأموال والتعامل مع البنوك.
• خدمات المنازل الذكية، والأسلحة ذاتية العمل، والهواتف، وأجهزة التلفاز، والاف التطبيقات الأخرى.

ومن الأهمية بمكان حشد الوسائل اللازمة لتنفيذ خطة التنمية المستدامة 2030من خلال تنشيط الشراكة العالمية من أجل تحقيق التنمية المستدامة، على أساس روح من التضامن العالمي المعزز، مع التركيز بوجه خاص على احتياجات الفئات الأشد فقرا والأكثر ضعفا، وبمشاركة من جميع البلدان وجميع أصحاب المصلحة وجميع الشعوب. إذ أن الذكاء الاصطناعي (AI) يمتلك إمكانيات هائلة لدعم وتحقيق التنمية المستدامة عبر تحسين الكفاءة، تقليل الفاقد، وتقديم حلول مبتكرة لمجموعة من التحديات البيئية، الاقتصادية، والاجتماعية.

Abstract

This research addresses the extent of digital transformation in the Iraqi banking sector, with a focus on a selected sample of Iraqi private banks. The research addresses the extent to which these banks adopt digital technologies to enhance their operations and customer services through quantitative analysis. The results reveal that although there is a growing interest in digital transformation Among Iraqi banks, the digital transformation in Iraqi private banks is still in its early stages compared to global trends. Although there is a growing recognition of the importance of digital technologies by banks, many of them still rely heavily on traditional banking methods, and this is due to This disparity is largely due to different levels of investment in digital infrastructure and different degrees of openness to technological change among bank management, and adoption rates remain uneven across the banking sector. This disparity is largely due to different levels of investment in digital infrastructure and different degrees of openness to technological change among bank management.

Despite these challenges, many banks have begun to implement digital solutions such as online banking, mobile applications and electronic payment systems to meet evolving customer expectations and increase competitiveness. This research highlights the need for strategic investment in digital infrastructure and regulatory reforms to enhance the environment. Conducive to digital innovation, it also emphasizes the importance of educating and raising awareness among customers to increase the adoption of digital banking services, which ultimately contributes to the modernization and growth of the sector.

Abstract

Universities worldwide have recognized the challenges of digital transformation in the face of rapid technological advancements, which have become an integral part of the educational system for all academic programs. This integration brings numerous advantages to all stakeholders in the educational process. Traditional methods, techniques, and tools have become outdated, prompting universities to enter into agreements with specialized global companies in technology, software, and tools. These agreements aim to equip their infrastructure for the educational process across various academic programs and disciplines, building knowledge and skills for students and preparing them for the job market in the era of digital transformation affecting all sectors.

Digital transformation is no longer an option but a necessity for institutions striving to enhance their efficiency and ensure their sustainability. The rapid growth of digital technology, advancements in smart devices and systems, increased data processing capabilities, and artificial intelligence have led to revolutionary changes. Dealing with the digital society requires investment in human resources and competencies possessing digital skills, capabilities, passion, ambition, and dialogue. This entails adopting a comprehensive approach to teaching methods, focusing on future requirements.

As mentioned earlier, digital transformation has become an urgent necessity that educational institutions seek to establish and dedicate. Educational technologies and digital platforms are not just concepts; they are now essential practices for the educational and learning processes. Universities need to leverage digital technologies to improve educational processes and practices, enhance learner and teacher experiences, and support the creation of effective and enduring educational models. Digital transformation helps universities operate more efficiently, remain competitive in global rankings and accreditations, and succeed in preparing learners for digital work environments.

In this context, digitization is a necessity in higher education institutions, attracting top students and improving the experience of courses, educational materials, and training processes in general. It enables monitoring and tracking to identify obstacles and challenges in training and reduce the risk of dropout. However, hesitation in understanding and seizing opportunities to move towards this digital environment still exists. It is essential for digital transformation to align with communication principles, ensuring its commitment to meet the expectations of various groups interested in economic, social, and environmental dimensions.

Abstract

The research aimed to identify areas of benefit from smart linguistic models (ChatGPT as a model) in accounting and auditing. The research used the descriptive approach to describe areas of benefit. Data was collected from ChatGPT, where a set of questions were asked and analyzed by topic. The research concluded with a set of results, most notably that the areas in which ChatGPT is greatly beneficial in accounting and auditing in general are: assistance in data entry and accounting guidance, assistance in preparing reports and budgets and setting estimates, research into international accounting standards, legislation and laws, analysis and interpretation of data, assistance In planning the audit process, organizing working papers, researching international standards for external and internal auditing. As for the areas in which ChatGPT does not provide significant added value in accounting and auditing, they are when the cases are complex, complex, and have many details, and require knowledge of the legislation and laws in a specific sector or country, or when the cases require an in-depth assessment of risks or analysis of large-scale data. Evaluating the internal control of a particular company.

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.