Search Results for ai-applications
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
This study highlights the statement that contributes to the use of information technology applications on Narner in achieving the marketing strategy and did not participate in the search for the descriptive analytical approach in completing the study and answering the main question (Since Narner contributed to the research of information technology when building its marketing? The data was collected by a questionnaire prepared for this agricultural field, as I had conducted an innovative study of ((96) employees (46) employees in Abu Dhabi Bank and (50) employees in a Turkish agricultural bank) working within the researched nick and conducted research in analyzing the questionnaire directors statistically and processing it through the program (SPSS) version 26).
The study reached a set of conclusions, the most prominent of which are: Information technology applications are one of the most important systems that contribute to helping bank management make appropriate decisions for the purpose of achieving a sustainable marketing strategy and choosing the appropriate strategy for it, as information technology keeps pace with the changes that occur in the markets and tracks its movements and sustainable strategies and the availability of important information about customer trends and desires. Thus, it contributes to developing appropriate solutions that help achieve the bank's goals.
Based on the above, we recommend: paying equal attention to all dimensions of information technology (technical, administrative, behavioral, economic, strategic), as it is a complementary activity to each other, and it is not possible to ignore any of them and focus on one of them, as the key to success is the necessity of paying full attention to all its dimensions.
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
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
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
Purpose of the Study: This research addresses a relatively new field; its primary objective is to determine whether the use of strategic momentum in productive organizations leads to the enhancement of organizational brilliance. Furthermore, the study aims to focus on modern strategic management approaches—including strategic momentum—and clarify their pivotal role in creating a comprehensive and integrated environment that fosters growth and differentiation, thereby advancing the industrial sector through the introduction of the concept of organizational brilliance.
Methodology: A sample was selected from employees at the Men’s Garments Factory in Al-Najaf Al-Ashraf. A questionnaire consisting of 22 questions was distributed to employees, including unit and division managers, department heads, accountants, and production staff. A total of 93 completed forms were collected.
Key Findings: The study results revealed a significant and meaningful impact of strategic momentum on organizational brilliance. According to the findings, the path coefficient of the explanatory variable (strategic momentum) showed strong influence on the responsive variable (organizational brilliance), indicating that strategic momentum plays a powerful role in organizing and enhancing employee brilliance within the industrial sector (the factory under study).
Applications of the Study: Strategic momentum can play a critical role in enhancing industrial performance by creating a comprehensive and integrated environment that promotes leadership brilliance, service excellence, innovation, knowledge, efficiency, and financial inclusion. This contributes to elevating the status of the factory under study. Productive factories that adopt strategic momentum can remain at the forefront of the curve, deliver superior services to their customers, maintain market share, and contribute to the sustainable and inclusive development of the national economy.
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
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 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.