Search Results for Managmant
Abstract
This research aims to investigate the impact of adopting Artificial Neural Networks (ANNs) as a prominent application of artificial intelligence in enhancing and improving the quality of internal auditing in the banking sector. The research problem stems from the challenges facing traditional auditing methods in light of the influx of Big Data and the complexity of financial operations, necessitating the search for advanced technological tools that ensure the accuracy and speed of supervisory performance. The study adopted a descriptive-analytical approach, whereby the research instrument (a questionnaire) was designed and distributed to a purposive sample of (140) auditors and accountants and IT unit officials working in a group of local banks (Rafidain Bank, Rasheed Bank, Al-Taif Islamic Bank, and the National Bank of Iraq). To analyze the data and test the hypotheses, descriptive and inferential statistical methods were used using advanced statistical packages. The research reached a number of conclusions, most notably the existence of a statistically significant correlation and effect between the adoption of artificial neural networks and the improvement of internal audit quality. These technologies have contributed to increasing the efficiency of detecting complex fraud patterns, reducing the time and effort spent on routine tasks, and demonstrating a superior ability to predict financial risks based on non-linear data processing. The results also showed that the supervisory staff in the banks studied possessed a good level of knowledge and preparedness to work with these intelligent systems.
Abstract
The aim of the research is to clarify the role that artificial intelligence can play in contributing to improving financial performance and achieving a sustainable competitive advantage for economic units. The research was adopted on the descriptive analytical method through the analysis of intellectual literature and relevant previous studies, as well as reviewing the most prominent applications of artificial intelligence in the field of accounting, such as the intelligent automation of receipt and disbursement processes. The most prominent conclusions reached were that the use of artificial intelligence tools contributes to achieving a sustainable competitive advantage by reducing operational costs, raising the efficiency of financial performance, which is reflected positively on the financial performance of economic units. The research recommends the necessity of adopting clear strategies for the application of artificial intelligence tools, developing the digital infrastructure, and qualifying accounting personnel in line with the requirements of digital transformation.
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The research aims to explore the role that human resource resilience strategies can play in promoting agile knowledge management, given that human resource resilience strategies have an important role in contributing to strengthening the foundations of agile knowledge management in organizations and improving their competitive position by relying on a set of activities and procedures that enable them. From achieving that success, three strategies were relied upon to measure the independent variable, the flexibility of human resources, which are (flexible functional strategy, flexible skills strategy, and flexible behavior strategy). knowledge withdrawal). The men's clothing lab in Najaf Governorate was chosen to be a field for research and (50) of its employees were chosen as a sample for the research. The questionnaire forms on which the necessary statistical analysis methods were conducted by statistical program (SPSS.v.23) were distributed to them, with the aim of Access to search results. The research reached a set of conclusions, the most prominent of which is that human resource flexibility strategies can contribute effectively to enhancing the agile knowledge management of the organization in question.
Abstract
condition, spreading from one individual to another, and it is on the verge of becoming an epidemic if not properly addressed. Perhaps the first step toward treatment is isolation and avoiding close contact, and economic reform policies must begin by addressing this disease. The phenomenon of the “disguised employee” has infiltrated government institutions, necessitating serious consideration of how to treat or at least mitigate this issue. The research originates from the significance of the topic, given that real unemployment is typically addressed by the state, while the disguised employee represents a burden on public resources unless effective solutions are implemented. This study seeks to examine the problem defined as follows: “The phenomenon of the disguised employee has become widespread, and if left unaddressed, it will produce multiple effects closely tied to fundamental issues.” The research posits a hypothesis suggesting a direct correlation between several factors, most notably corruption—and the proliferation of this phenomenon. The study concludes with a set of key findings and recommendations. One of the most significant findings is that the term disguised employee, as used in this research, is a localized concept intended to replace the more general term disguised unemployment, whose definition varies between Iraqi and international contexts. Among the principal recommendations is the activation of oversight bodies to limit the prevalence of this phenomenon and the establishment of genuine performance monitoring mechanisms.
Abstract
The significant development in information and communication systems among these organizations has presented businesses, particularly their senior leadership, with a major challenge: navigating this intense competition. They have had to seek a deeper vision and more comprehensive thinking, resulting in a strategic direction that defines the organization's path and establishes a general framework for its actions when facing all forms of environmental and organizational changes. This has made organizational commitment particularly important, given its vital nature and its clear link to the success or failure of organizations. Therefore, leadership behavior is an indicator of the effectiveness of leaders' performance and achievements. The skills and capabilities that strategic leaders possess, enabling them to influence the behavior of employees and achieve desired goals, are essential for the success of strategic leadership within an organization. It is therefore crucial to understand the most important roles and qualities of strategic leaders to align with the demands of the current era, and to grasp the main dimensions of job burnout in order to keep pace with rapid developments in all fields.
Abstract
This research aims to study the role of Lean Quality in promoting the transition to Green Manufacturing in modern organizations, focusing on its practical applications at the Al-Hillah Sugar Factory, owned by Al-Ittihad Company. The research highlights how Lean Quality principles, such as continuous improvement, waste reduction, and process flow optimization, can be used as tools to enhance production efficiency and achieve environmental sustainability.The research employed a field survey methodology, utilizing an eight-item questionnaire to cover Lean Quality and Green Manufacturing elements. A five-point Likert scale was used to assess the extent to which these concepts were applied by factory employees. A representative sample of employees was selected using stratified random sampling to ensure comprehensive coverage of all departments and job levels.The results of the analysis showed that Lean Quality is applied to varying degrees within the factory, with a high level of application in continuous improvement and process flow. However, some gaps were observed in employee engagement and waste reduction. Green Manufacturing practices ranged from moderate to high, with superior performance in the areas of corporate sustainability and energy consumption reduction. Environmental innovation, however, presented some challenges that require further development.
Abstract
In the modern era, providing them with modern tools and technologies that This research aims to study the impact of digital transformation in accounting and its role in reducing poverty. Digital transformation is one of the most prominent developments witnessed by institutions contribute to improving financial and administrative performance. The research problem lies in the main question: Does digital transformation in accounting have an impact that can contribute to reducing poverty? This research aims to demonstrate the impact of digital technologies on developing accounting practices and improving financial resource management, which positively impacts economic and social development. To achieve these objectives, the study is divided into several sections. The first section of Chapter Two addresses the concept of digital transformation, its importance, objectives, characteristics, and types. It also explores the dimensions of digital transformation: the technical, human, and organizational dimensions, recognizing their crucial role in the success of digital transformation within institutions. The second section examines the concept of accounting and the impact of digital transformation on it. This section clarifies the role of modern technologies in developing accounting systems and improving the efficiency of financial and accounting processes. The research concludes that digital transformation contributes to the development of accounting practices by enhancing the accuracy of financial information and strengthening transparency and oversight. This, in turn, helps improve financial resource management and supports decision-making, which can indirectly contribute to economic development and poverty reduction.
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.