Midocean Journal for Research and Studies
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Cotton Disease Detection Using Deep LearningSubmitted in Fulfillment Of The Requirements For TheDegree Master of Science in Artificial Intelligence
The main objective of the research is to diagnose cotton Disease through Image Analysis Using Deep learning. Where it is traditional diagnosis method relies on manual inspection, which is labor-intensive and prone to human mistakes. To overcome this problem, has been proposed Image Analysis Using deep learning technologies, particularly (CNNs), cotton pictures can be diagnosed with high precision to enable faster and more accurate disease detection. The main parts of the affected sheets are also highlighted by the type of disease in the database. This allows for early detection of the disease, reducing agricultural losses, increasing productivity, and improving the sustainability of cotton farming. Approximately 80-90% of cotton diseases affect leaves, causing up to 16% budget loss and potentially 30-50% crop loss without control. This research explores AI techniques from cotton leaves images.
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Enhancing Brain Tumor Classification Using Deep Learning
This study aims to enhance the classification of brain tumors using advanced deep learning models applied to magnetic resonance imaging (MRI) images. The methodology involves applying pre-trained Convolutional Neural Networks (CNNs) including ResNet50, MobileNet, and Inception v2, and transformer models such as Vision Transformer (ViT) and Shifted Window (Swin). A hybrid model combining MobileNet and Swin was developed to improve classification accuracy. Data augmentation and image enhancement techniques were applied to optimize model performance. The models were rigorously evaluated using metrics such as accuracy, precision, recall, and F1-score. Among the models tested, MobileNet-Swin achieved the highest classification with accuracy of 99.65 and precision of 99.82 and recall of 99.82 and F1-score of 99.82. The findings support the effectiveness of hybrid deep learning models in assisting radiologists and improving clinical decision-making for brain tumor classification. Future work should focus on expanding the dataset and exploring additional deep learning architectures to further enhance classification accuracy.
brain tumors, deep learning, MRI classification, MobileNet, Swin Transformer.
The effect the use of artificial intelligence on management performance
This study aims to analyze the impact of utilizing artificial intelligence (AI) technologies on enhancing the administrative performance of companies in emerging markets. It explores how AI can be employed to improve innovation and growth processes and to develop effective strategies for addressing dynamic challenges in these markets. An analytical methodology was adopted to gather data from a sample of 118 administrators working in small and medium-sized enterprises (SMEs) in emerging markets. The study tested hypotheses focusing on AI applications such as data analysis, administrative performance automation, and machine learning techniques. The study highlights the influence of AI on the administrative environment of companies and is structured around three main pillars: (Establishing data warehouses as a key element of AI utilization - Analytical processing as an essential component of AI application - Providing a knowledge-based IT work environment as a critical aspect of AI integration(, The study examined the effect of these factors on the efficiency of administrative performance in companies operating in emerging markets. The findings revealed a statistically significant relationship between the use of AI technologies and the improvement of administrative performance in companies within the emerging market in Egypt.
Artificial Intelligence; Administrative Performance; Managerial Technology; Emerging Markets.
The role of time management methodologies in achieving creativity in Saudi projects: A field study on companies that adopt technology.
The research aimed to shed light on the role of time management methodologies in achieving creativity in Saudi projects that use Agile technology, by clarifying the dimensions of time management methodologies, in addition to revealing the impact of time management methodologies in their dimensions on achieving creativity in Saudi projects. The researcher relied on the descriptive analytical approach was used in order to achieve the objectives of the study. The questionnaire was used as a tool for collecting information. This research was applied to a study population represented by employees and managers of Saudi projects. The research sample consisted of a random sample of (184) individuals. To analyze this information, a program was used Statistical analysis (SPSS).This research has reached a set of important results, the most prominent of which is that time management methodologies have an impact on achieving creativity in Saudi projects, and there is an influential role for each of the methods of self-management, management by exception, management by delegation, and management by objectives individually on achieving creativity in projects. Saudi Arabia, and the researcher recommended the need to educate workers in projects about the importance of time management, and the need to preserve it through awareness raising or through the distribution of brochures or posters, improving relations between workers in projects with the aim of developing the spirit of belonging, cooperation and love of teamwork through providing material and moral incentives and contracting Seminars on this topic within the project, careful analysis of the activities carried out by the manager because it is one of the basic gateways to time wasting, providing a suitable climate for workers in Saudi projects to benefit from their creative ideas to obtain outstanding performance.
Time management methodologies - Creativity in projects - Agile technology.
The Impact of Modern Technology on Improving the Performance of Supply Chains and Creating Competitive Opportunities (A Descriptive Study on the Integration of the Government and Private Sectors through “Etimad” Platform)
This study aimed to explore the impact of modern technology, encompassing its dimensions (hardware elements, software elements, technical and support services, communication networks, and databases), on improving supply chain performance across its dimensions (suppliers, customers, and operations). This was examined through the integration of the government and private sectors under the cover of the "Etimad" platform. The study adopted a descriptive-analytical approach, deemed suitable for this research, utilizing a questionnaire as the primary tool for data collection. The study sample consisted of distributing (160) questionnaires to the target population. The results indicated a statistically significant impact of modern technology on enhancing supply chain performance. The study recommended the necessity of applying information technology (modern technology) across all sectors to elevate service quality, enhance competitiveness, and attract qualified competencies to fulfill required tasks. Additionally, the "Etimad" platform should formulate flexible strategies that respond to rapid and significant technological developments.
Modern Technology, Supply Chains, "Etimad" Platform.
An AI-based Model for Predicting Flight Delays to Enhance Air Traffic Operations
Flight delays are a global challenge with significant economic and operational impacts. This study aims to develop a predictive model based on machine learning algorithms to enhance the efficiency of air traffic management. To achieve this, the study adopts an analytical and applied approach, utilizing a comprehensive historical dataset from the U.S. Bureau of Transportation Statistics (BTS), which includes over 5.8 million domestic flights in 2015. The research methodology entailed precise data processing steps, including cleaning, feature engineering, and transforming the prediction task into a binary classification problem. The model was constructed using the Random Forest algorithm, and its performance was optimized through the GridSearchCV technique to select the best parameters. To further increase the model's efficiency, the Recursive Feature Elimination (RFE) method was employed to identify the 20 most influential features for prediction. The study yielded highly significant results, with the proposed model achieving a high predictive accuracy of 98.41% in determining whether a flight would be delayed or not. Feature importance analysis revealed that factors such as "Departure Delay," "Scheduled Duration," and "Month" were the most influential in the prediction. These findings demonstrate the model's effectiveness in providing valuable insights that can be leveraged for proactive decision-making. Based on these results, the study recommends integrating the predictive model into current air traffic management systems to improve operational planning and mitigate losses. It also proposes that future research should extend the scope to include predicting the actual delay duration and exploring the model's application on global data to assess its generalizability.
Artificial Intelligence, Machine Learning, Flight Delay Prediction, Air Traffic Management, Random Forest.
Deep Learning-Based Monkeypox Detection: A Hybrid Approach Using DenseNet121 and MobileNetV2
Due to recent outbreaks outside of endemic areas, Monkeypox is a newly emerging zoonotic disease that has drawn international attention. This study utilized two publicly available collections—the Monkeypox Skin Lesion Dataset (MSLD) and its updated version, MSLDV2.0, which consist of 2607 and 10572 clinical images, respectively. Clinical photographic images of confirmed Monkeypox lesions and comparative non-Monkeypox dermatoses. Early and precise lesion detection is therefore crucial for effective containment and treatment. We propose a hybrid deep-learning approach that fuses the hierarchical feature extraction capabilities of DenseNet121 with the computational efficiency of MobileNetV2 for reliable Monkeypox identification. On MSLDV2.0, our model achieved 98 % accuracy, and on MSLD, it reached 99.18 %. The confusion matrices confirm robust discrimination between Monkeypox and non-Monkeypox classes, outperforming existing methods. A key limitation of this work is the moderate size and demographic homogeneity of the datasets, which may not fully capture real-world variations in skin tone or lesion presentation. Future research should incorporate larger, multi-center image repositories, evaluate performance across diverse populations, and assess real-time deployment in resource-constrained clinical settings.
Monkeypox, deep learning, DenseNet121, MobileNetV2, diagnostic accuracy.
The role of digital transformation in improving the efficiency of industrial operations in the mining sector in the Kingdom of Saudi Arabia
Objectives: The study aimed to uncover the reality of implementing digital transformation in industrial operations within the mining sector, identify the main challenges facing these operations, and the role of applying digital technology in improving the efficiency of these operations. Location: In the Kingdom of Saudi Arabia, from the perspective of employees in mining companies. Methodology: The study used a descriptive-analytical approach. The study population consists of mining companies in the Kingdom of Saudi Arabia that have implemented or are in the process of implementing digital technology and adopting digital solutions in industrial operations. The study sample (n = 370) represents senior, middle, and junior management levels related to industrial operations within mining companies in the Kingdom of Saudi Arabia. A questionnaire was used as a data collection tool. Results: The study found that the reality of implementing digital transformation in industrial operations within the mining sector in the Kingdom of Saudi Arabia was high, and the main challenges to implementing these operations were at the "Agree" level. The impact of implementing digital technology on improving the efficiency of industrial operations within the mining sector in the Kingdom of Saudi Arabia, from the perspective of employees in mining companies, was found to be high. Recommendations: The study recommends that the mining sector benefit from appropriate digital technologies for this sector, and that the challenges facing digital transformation in the mining sector should be studied and addressed.
digital transformation, industrial operations, mining sector, Kingdom of Saudi Arabia.
The Level of Cybersecurity Awareness Among Teachers in Protecting Student Data Through E-Learning Platforms in the City of Taif
This study aims to explore teachers' awareness of the concept of cybersecurity and its relationship to implementing modern strategies to protect students from online digital risks, as well as ways to promote national values and identity among students. The study sample consisted of 104 male and female teachers from public and private schools in Taif. A descriptive correlational approach was used, where a scale was developed to measure teachers' level of cybersecurity awareness, in addition to evaluating their methods for protecting students from online risks and promoting national values. The results showed that teachers possess a high level of awareness of cybersecurity, particularly regarding protecting personal and mobile devices from cyberattacks. They also demonstrated that they rely on various methods to protect students from online risks and promote national identity, through educational objectives, teaching methods, school activities, and projects, as well as various assessment methods. The study also found a positive and moderate relationship between teachers' level of cybersecurity awareness and their use of methods to protect students from the internet, as well as to promote national values and identity. Furthermore, the results did not reveal any statistically significant differences between teachers regarding cybersecurity awareness or student protection methods based on school type. However, statistically significant differences were observed in the methods used to promote national values in favor of teachers in public schools compared to private schools. Furthermore, the study did not reveal any significant differences in responses related to cybersecurity, student protection, or promoting national values based on gender, specialization, academic qualification, or years of teaching experience.
Cybersecurity, Protection Methods, Internet Risks, Values, National Identity.
The Impact of Transformation towards Smart and Green Cities on Sustainability Practices in the Contracting Sector: An Applied Study in Saudi Vision 2030 Projects
This study explores how Saudi Arabia’s Vision 2030 is driving the transformation toward smart and green cities, focusing on its impact on sustainability practices in the contracting sector. Using a quantitative survey of 100 professionals from six leading contracting firms involved in major urban development projects in Riyadh, the Study analyzes the relationships between awareness of Vision 2030, adoption of smart technologies, regulatory incentives, stakeholder collaboration, and sustainability performance. Statistical tools such as descriptive analysis, ANOVA, Pearson correlation, and multiple regression were used to assess these relationships. The results indicate that higher awareness of Vision 2030 and greater integration of digital technologies significantly improve sustainability outcomes in contracting operations. While stakeholder collaboration also showed a strong positive effect, the influence of regulatory incentives was comparatively weaker. The study highlights the practical importance of investing in smart infrastructure, employee training, and collaboration with academic institutions to support innovation and operational efficiency. Theoretically, the Study contributes to bridging the gap between policy-level sustainability frameworks and on-the-ground implementation in the construction industry. It also offers practical guidance for aligning contracting practices with national sustainability goals under Vision 2030.
Smart Cities, Green Cities, Sustainability, Contracting Sector, Saudi Vision 2030
The Impact of Artificial Intelligence on Operational Risk Management at Taif International Airport
This study examines the quantitative and qualitative impact of Artificial Intelligence (AI) adoption on Operational Risk Management (ORM) at Taif International Airport, Saudi Arabia. Using a mixed-methods design, data were collected from 32 ORM officers, ICT specialists, and operational staff via structured surveys (response rate: 84%) and 12 semi-structured interviews. Quantitative analysis using SPSS revealed that AI integration led to a statistically significant reduction in both the frequency and severity of operational risk incidents: AI-enabled predictive maintenance tools reduced unplanned downtime by 28.4% (p < 0.01), and AI-driven surveillance improved security incident detection rates by 24.6% (Cohen’s d = 0.61). Regression analysis showed that AI implementation explained 42% of the variance in operational risk reduction (R² = 0.42, p < 0.001), while institutional readiness accounted for a further 19% of the success rate in AI adoption (R² change = 0.19). Thematic analysis of qualitative interviews confirmed that while AI-enhanced systems improved risk identification and mitigation, significant challenges persist, including inadequate staff training (mentioned by 83% of interviewees) and infrastructural constraints (noted by 67%). Evidence supports the hypothesis that AI not only positively impacts ORM performance but also that organizational and technical preparedness are critical for successful AI deployment. The study recommends a phased AI implementation strategy, targeted competency development, and policy alignment for sustainable digital transformation and aviation safety in Middle Eastern airports.
Artificial Intelligence, Operational Risk Management, Effect Size, Predictive Analytics, Aviation Safety, Taif International Airport
The Role of Artificial Intelligence Development Ethics in Enhancing Strategic Mechanisms, Organizational Culture, and Transformational Leadership: An Analytical Descriptive Study
The study aimed to identify the ethical challenges that may be encountered when using artificial intelligence (AI). It also aimed to identify the procedures followed to ensure its responsible use, as well as to identify how the absence of clear ethical frameworks impacts the use of AI in various fields. It also aimed to identify the ethical standards required to ensure the responsible and safe development of AI technologies. The study relied on a descriptive-analytical approach, through a review of the literature and previous studies. The study reached the following results: - The results indicate a strong and statistically significant positive impact of AI development ethics on an organization's digital strategy. This variable alone explains approximately 71.6% of the change in strategy, reflecting the importance of the ethical dimension in shaping and improving the orientations of digital organizations in the era of digital transformation. - The results show that promoting AI development ethics contributes significantly and positively to improving organizational culture within organizations, supporting the importance of the ethical dimension in digital work environments. The results indicate that ethics in developing AI systems is an important factor contributing to enhancing transformational leadership practices within organizations, which supports the integration of the ethical dimension into management and leadership policies.
Artificial Intelligence Ethics, Digital Transformation, Organizational Culture, Transformational Leadership, Responsible Innovation
The Impact of the Internal Work Environment on Achieving Administrative Creativity: A Field Study of the Saudi Telecom Company
The study aimed to explore the impact of the internal work environment on achieving administrative creativity in the Saudi Telecom Company. The descriptive analytical approach was adopted, as the study questionnaire was designed based on previous standards and studies as a tool for collecting the necessary data. The simple random sample method was relied upon, and (100) individuals were formed from administrative and technical employees in upper and middle management. The study tool was the electronic questionnaire, and the data were analyzed using the statistical science program SPSS. The most important results were: Institutions and organizations have the greatest impact on the level of innovation and creativity of employees and workers, as the work environment was based on rigidity and restrictions, workers would evade the job at any time they were allowed to do so. In contrast, if it was a fun and renewed environment that was not characterized by boring routine, it would contribute to making them innovate and create. Based on the results of the study, it was recommended that the management of the studied institution should establish training programs in a good and thoughtful manner, which would. The need to achieve administrative creativity, thus strengthening the organization's competitive position, requires job rotation and organizational restructuring to place the right person in the right position, i.e., employing job enrichment to raise levels of experience, knowledge, and skill, and prioritizing highly qualified employees to leverage their expertise and ideas to develop the organization's second-tier workforce.
Internal Work Environment - Administrative Creativity - Saudi Telecom Company
The Impact of Human Factors Engineering on Performance Sustainability: A Field Study at the Saudi Electricity Company
This study aimed to examine the impact of human factors engineering (HFE) implementation on performance sustainability at the Saudi Electricity Company (SEC), as well as to identify the role of human resources in HFE at the company. The descriptive analytical approach was used, and a questionnaire was used as the primary tool for data collection. The study population consisted of 400 male and female employees at the SEC. The SPSS statistical program was used to analyze the data collected from the study sample. To achieve the research objectives, a questionnaire was developed using previous studies to measure the study variables. The study concluded with several results, the most important of which are: There is a statistically significant correlation between the availability of regulatory requirements for HFE application systems and performance sustainability for employees at the SEC in the Kingdom of Saudi Arabia. The SEC manages HFE applications at a high level in accordance with international standards based on modern fields of customer protection and performance sustainability, to varying degrees. A set of recommendations was also reached, the most important of which are: leveraging scientific research in the fields of human factors engineering applications to address weaknesses, reduce threats, and increase and strengthen strengths and weaknesses using scientific methods. Providing physical working conditions and good workplace design based on principles helps reduce occupational risks and leads to increased productivity, lower costs, and increased safety for individuals. Future proposals, most notably the application of the study's findings and recommendations to other sectors, such as health, service, industrial, economic, and educational sectors. Keywords: Human Factors Engineering - Performance Sustainability - Saudi Electricity Company.
Human Factors Engineering - Performance Sustainability - Saudi Electricity Company.
The Impact of Digital Transformation on Improving Project Management Efficiency in the Government Sector in the Kingdom of Saudi Arabia: An Applied Study of the Jeddah Development Authority
The study aimed to identify the impact of Saudi business incubators, with their various dimensions (financial The study aimed to identify the impact of digital transformation in its dimensions (technological, organizational, human, and service) on raising the efficiency of government project management at the Jeddah Development Authority. The study relied on the descriptive analytical approach, and used a questionnaire as the main tool to collect data from a sample of employees in departments and sections related to project management, numbering (170) employees. A random sample of (111) individuals was selected, and the data was analyzed using the (SPSS) program. The results of the study showed that the level of digital transformation at the Jeddah Development Authority was high, reflecting the Authority's interest in adopting and employing modern technologies to develop the performance of government projects. The results also showed that the organizational dimension of digital transformation is the most influential among the dimensions of transformation at the Authority. The results also showed that the Authority's project management efficiency was high, attributed to the presence of clear administrative foundations such as effective communication between teams and approved quality standards. The results also revealed a statistically significant relationship between the dimensions of digital transformation and project management efficiency, indicating that the success of digital transformation directly contributes to improving the efficiency of government projects and enhancing the effectiveness of implementation processes. There were also statistically significant differences according to the variable of years of experience, specifically in assessing project management efficiency, indicating that accumulating professional experience contributes to shaping a deeper understanding of project management practices and enhancing an individual's assessment of performance efficiency. The study recommended the need to enhance and expand investment in digital transformation within the Jeddah Governorate Development Authority by continuing to modernize the digital infrastructure and adopting advanced technologies that align with global best practices in government project management.
Digital Transformation, Project Management, Jeddah Governorate Development Authority
The Impact of Social Media on Project Performance: AnApplication to Construction Projects in Riyadh Region
The current study aimed to analyze the impact of using social media on four main axes in construction projects in the Riyadh region, namely: cost, time, quality, and customer satisfaction. The study relied on the descriptive analytical approach by analyzing the responses of the study sample consisting of (348) individuals from the administrative and functional cadres in (23) active construction projects in the Riyadh region, using Pearson’s correlation coefficient and linear regression analysis via the SPSS program. The results showed a statistically significant positive relationship between the use of social media in its dimensions and project performance on construction projects in the Riyadh region. The results indicated the presence of a direct, intrinsic correlation between social media sites and project performance when applied to construction projects in the Riyadh region, which confirms the role of these platforms in enhancing operational efficiency and job satisfaction. The study emphasized the importance of launching initiatives and programs aimed at increasing awareness of the importance of the vital role that social media platforms can play in raising the level of performance of construction projects, responding to the adoption of digital strategies by construction companies with a focus on project marketing and reputation management, training workers to use digital platforms efficiently to enhance communication with stakeholders, and benefiting from tools Artificial intelligence linked to communication platforms to analyze project data and anticipate challenges.
Social Media, Project Performance, Construction Projects, Riyadh Region, Saudi Arabia.
Teamwork's Role in Supporting the Success of School Leadership: A Field Study on Private Schools in West Riyadh
The current study aims to explore the impact of teamwork on the success of a leader's plan through a field study conducted in private schools in the western part of Riyadh City. The study adopted a descriptive-correlational approach to determine the nature of the relationship between the study variables, using a questionnaire as the primary data collection tool. The study population consisted of all educational leaders and teachers in private schools in West Riyadh. The study sample comprised 120 individuals, including teachers and educational leaders from private schools in the same area, selected through a stratified random sampling method to ensure representation of different segments. For data analysis, a set of statistical methods appropriate for the nature of the collected quantitative data was used, including arithmetic means, standard deviations, and regression analysis. The study yielded several significant findings, most notably: a positive and statistically significant impact of teamwork on the success of the leader's plan. Specifically, the study showed that levels of cooperation and effective communication within the team, in addition to clear roles and responsibility distribution, are strongly linked to achieving plan objectives and execution quality. The results also indicated that institutional support and stakeholder satisfaction, represented by teachers, are positively affected by the effectiveness of teamwork performance. Qualitatively, respondents' opinions reflected the importance of the leader's motivational role in building a cohesive and engaged team, and the necessity of activating continuous feedback mechanisms to improve performance. Based on these findings, the study offered several key recommendations, including: the necessity of adopting specialized training programs for educational leaders focusing on team building and management skills, the importance of fostering a culture of collaborative work within educational institutions, and the design of clear mechanisms for evaluating team performance and linking it to the success of the school's strategic plans. The study also recommended providing sufficient resources to support teams and regularly celebrating collective achievements to boost morale and motivation.
Teamwork, Leader's Plan Success, Educational Leadership, Private Schools, Riyadh.
The Impact of Digital Skills Training on Job Performance: A Field Study of the Saudi Ground Services Company
The study aimed to demonstrate the impact of digital skills training on employee performance at the Saudi Ground Services Company, which is witnessing a rapid digital transformation, making digital skills training essential for employee effectiveness and organizational success. While previous studies highlight the importance of upgrading digital skills, the study followed a descriptive and analytical approach. The study population consisted of workers and employees at the Saudi Ground Services Company. The study relied on a simple random sample method, with a total of (357) employees at the Saudi Ground Services Company. A structured questionnaire was used to assess the relationship between digital skills training and key job performance measures. The study reached several results, the most important of which were: digital skills training significantly improves employee productivity, adaptability, and operational efficiency. Employees who receive structured training demonstrate advanced technological proficiency, fewer operational errors, and higher job satisfaction. These results emphasize the need to continuously improve digital skills to maintain the sector's competitiveness. Based on the previous findings, the study reached the most important recommendations: organizations should invest in digital training programs specifically designed to enhance workforce efficiency and innovation, and identify employee training and development needs based on the required tasks and responsibilities.
Digital skills training, job performance, Saudi Ground Services Company.
The Impact of Applying Total Quality Management (TQM) Principles on Enhancing the Competitive Advantage of Service Institutions in Riyadh Region, Saudi Arabia
This study aimed to measure the impact of applying Total Quality Management (TQM) principles, through its dimensions (top management support, customer focus, continuous improvement, employee participation), on enhancing competitive advantage through its dimensions (cost, quality, flexibility, innovation) in service institutions within the Riyadh region. To achieve this objective, the study adopted a descriptive-analytical approach, utilizing a questionnaire as a data collection tool from a random sample of (353) administrative employees. The results revealed a high level of TQM implementation, with "customer focus" ranking highest. Similarly, the level of competitive advantage was also high, with "quality" emerging as the most prominent competitive dimension. Furthermore, the results showed a strong and statistically significant positive correlation (r = 0.824) between the two variables. It was also confirmed that the TQM dimensions, when combined, had a significant impact on competitive advantage, explaining (67.9%) of its variance. "Customer focus" was found to be the most influential dimension, followed by "continuous improvement". Based on these findings, the study recommended the necessity of strengthening employee participation practices, embedding a continuous improvement approach, and investing in innovation as a primary source of competitive superiority.
Total Quality Management, Competitive Advantage, Service Institutions, Riyadh Region, Vision 2030.
Digital Leadership and Job Stability in Technological Transitions: Evidence from Jeddah Hospitals
This study investigates how digital leadership contributes to job stability during technological transformation in hospitals in Jeddah, Saudi Arabia. A quantitative approach was used, with structured surveys collected from (105) hospital employees to assess the impact of leadership behaviors—such as communication, support, training, and teamwork—on perceived job stability. The results showed that digital leadership had a strong and statistically significant effect, explaining 48% of the variance in job stability scores (R² = 0.48, p < .001). These findings highlight that hospital leaders who foster open communication, reduce stress, and create supportive environments are more likely to maintain workforce stability during digital transitions. The study offers practical guidance for healthcare administrators aiming to ensure smooth digital integration while safeguarding employee well-being and commitment. The study recommends the importance of adopting training policies on technology and digital transformation, open communication, and practicing motivation and encouragement for digital adaptation to enhance job stability.
Digital Leadership, Technological Transformation, Job Stability, Hospitals, Jeddah, Healthcare Sector.
The Impact of the Internal Environment on Transforming Ideas into Viable Products and Promoting Innovation within the Framework of Vision 2030 in Saudi Organizations
The study aimed to explore the impact of the internal environment of Saudi institutions on transforming ideas into implementable products, with a focus on organizational innovation and supporting the Kingdom's Vision 2030. The internal environment in this study represents organizational culture, supportive leadership, infrastructure, digital transformation, and training and development programs. A mixed approach was used that combines quantitative and qualitative analysis. The study population consisted of employees in Saudi institutions at various job levels. The study sample was (80) individuals working in Saudi institutions. The study tool was semi-structured interviews and a questionnaire. Questionnaires were distributed to a selected group of institutions, and the data was analyzed using advanced statistical tools. The results showed a strong positive relationship between the elements of the internal environment and its ability to enhance innovation and transform ideas into products. Organizational culture and digital transformation are among the most influential factors, while supportive leadership demonstrated a need to improve risk management strategies to support innovation more effectively. The results also demonstrated the role of Vision 2030 as an intermediary factor that enhances institutions' ability to innovate by developing digital infrastructure and encouraging partnerships between the public and private sectors. The study provided a set of practical recommendations for institutions, including improving supportive leadership. It also recommended focusing on studying different leadership styles and their impact on innovation, as well as expanding the scope of studies to include more diverse sectors and regions. This study contributes to bridging a knowledge gap regarding the role of the internal environment in promoting institutional innovation in the Saudi context, which supports the achievement of the goals of Vision 2030 and strengthens the Kingdom's position as a regional and international center for innovation.
Innovation, Vision 2030, Organizational Culture, Organizational Leadership, Digital Transformation, Innovation Maturity, Organizational Innovation.
The Impact of Project Management Practices on the Successful Establishment of UAV Projects in the Defense Sector
This article researches the relation of project management methodologies with the successful development of Unmanned Aerial Vehicles (UAV) projects in the defense industry, with an emphasis on explicit compliance with norms and regulations, stakeholders' involvement, and resources management. This research synthesizes both qualitative and quantitative data—based on a mixed-methods framework—by adding the findings obtained from observation and document analysis, hereby offering a much more expansive insight into these critical areas of difficulties and practices. Similarly, sudden or previously non-existent regulatory compliance by the regulator may cause project delays up to 15-20%, whereas a lack of alignment between stakeholders affects timelines by as much as 24%. On the other hand, resource inefficiencies are found to delay projects by up to 30-100%. This research highlights the significance of proficient management strategies, offering essential perspectives on improving project schedules and increasing success rates in defense UAV initiatives. The suggestions focus on the necessity of prioritizing resource allocation to facilitate prompt project finalization while ensuring coherence with broader strategic goals.
The Causes and Effects of Employee Turnover Among Saudi and Non-Saudi Workers in Saudi Arabia’s Private and Public Sectors: An Analysis Based on GOSI Data
This study investigates the causes and impacts of employee turnover of Saudi and non-Saudi employees registered with the General Organization for Social Insurance (GOSI) on public and private sectors in Saudi Arabia. In addition, this study inspects the causes and impacts of employee turnover rate focusing on factors such as job security, career development, and compensation, this research aims to provide insights for reducing turnover rates and improving workforce stability. This study was conducted in the Kingdom of Saudi Arabia, using data from the General Organization for Social Insurance, the Open Data Platform, and the General Authority for Statistics. A mixed-method approach was employed, combining quantitative analysis of GOSI data covering demographic turnover patterns with qualitative survey responses to gain deeper insights into the motivations behind employee decisions to stay or leave. Findings reveal a higher turnover rate in the private sector, driven by job insecurity, contract limitations, and limited career growth. Expatriate employees, particularly in the private sector, exhibit higher turnover than Saudi nationals. In the public sector, job security and benefits contribute to lower turnover rates. Key predictors of turnover include job security, compensation, career development, and work-life balance. To mitigate turnover, it is recommended that private sector organizations enhance job security through long-term contracts, offer competitive compensation packages, provide structured career paths, and promote flexible work arrangements. These strategies could effectively improve employee retention and support the Kingdom’s workforce stability goals.
The Role of Artificial Intelligence Applications and Project Management Software in improving in Large-Scale Projects management in Saudi Ariba
The study addressed the challenges facing large-scale project management, especially time delays and budget overruns. It demonstrated the remarkable role of AI tools in improving the accuracy of planning, risk forecasting and resource management. Additionally, the study indicated that the automation of routine tasks reduces the need for human intervention, enabling project managers to make strategic decisions and enhance the overall efficiency of the project. The study employed a virtual simulation approach, through using advanced tools such as “Microsoft Project” and “Azure Machine Learning Studio” instead of traditional questionnaires. These tools could analyze the complicated circumstances of projects, and provide critical insights into the impact of AI on project management and processes and. Meanwhile, the study emphasized the increased significance of integrating AI tools into human stewardship to achieve the best results when managing major projects. The study concluded that AI significantly enhances project planning, financial forecasts, and resource distribution, while reducing delays and human errors. The study recommended the gradual employment of AI tools in conjunction with developing human skills, launching targeted training initiatives, and providing infrastructure funding to bolster AI algorithms, specifically designed for large-scale projects.
أثر التدريب والتطوير في الأداء الوظيفي بالتطبيق على قطاع المقاهي بالطائف
استهدف البحث الحالي رصد مدى تأثير مستوى التدريب والتطوير والأداء الوظيفي على قطاع المقاهي بالطائف، في المملكة العربية السعودية، بحيث شمل البحث عينة مكونة من (287) عاملاً من جميع العاملين في المقاهي بمدينة الطائف، واستخدم الباحث المنهج الوصفي كمنهج للدراسة، واستعان بالاستبانة كأداة للدراسة. وتوصل الباحث إلى أن مستوى التدريب وكذلك التطوير والأداء الوظيفي على قطاع المقاهي بالطائف بدرجة استجابة (متوسطة)، وتبين عدم وجود فروق ذات دلالة إحصائية في التدريب والتطوير والأداء الوظيفي على قطاع المقاهي بالطائف تعزى لمتغيرات الدراسة المتمثلة في (المؤهل العلمي، عدد سنوات الخبرة). وأوصى الباحث بعدة مقترحات والتي من بينها أن يتم تقديم عدة برامج لتطوير المهارات التقنية المتعلقة بالوظيفة، التي تدعم تطوير المهارات الشخصية والاجتماعية مثل التواصل والقيادة وحل المشكلات، وتحديد الفرص التدريبية على أساس حاجة الموظفين، وتقديم الحوافز وتشجيع إدارة الأداء.
أثر القيادة التربوية في تحسين بيئة النظام التعليمي لأعضاء هيئة التدريس في الجامعات بمنطقة الرياض بالمملكة العربية السعودية
يتناول هذا البحث أثر القيادة التربوية في تحسين بيئة النظام التعليمي للمرحلة الجامعية في منطقة الرياض، المملكة العربية السعودية، حيث استهدف البحث تحليل دور القيادات التربوية في تعزيز جودة التعليم من خلال تحسين البيئة التعليمية وتوفير الدعم للطلاب وأعضاء هيئة التدريس في القطاعات الحكومية، اعتمد البحث على منهجية تحليلية جمعت بين التحليل النوعي والكمي باستخدام استبيانات ومقابلات شخصية، واعتمدت الدراسة على عينتين: الأولى عينة عشوائية تشمل الطلاب وأعضاء هيئة التدريس، والثانية عينة قصدية تضم القادة التربويين، إلى جانب الوثائق والمستندات المتعلقة بالمؤسسات الأكاديمية، أظهرت النتائج أن القيادة التربوية تسهم في تحسين بيئة التعلم عبر تعزيز التواصل، دعم الاحتياجات الأكاديمية، وتشجيع الابتكار، كما توصي الدراسة بضرورة تعزيز برامج التدريب القيادي وتطوير سياسات تعليمية داعمة، كما شددت على أهمية معالجة التحديات كدمج التكنولوجيا، وتطوير المناهج، وتعزيز الشراكات المجتمعية.
تحليل دور العلاقات العامة في تعزيز رضا الجمهور في المؤسسات الإعلامية: دراسة تطبيقية على منطقة جازان
هدفت الدراسة إلى التعرف على دور العلاقات العامة في المؤسسات الإعلامية بمنطقة جازان في تحقيق رضا الجمهور، ولتحقيق هذا الهدف استخدمت الباحثة المنهج الوصفي، كما قامت بإعداد استبانة بهدف التعرف على آراء الجمهور حول واقع دور العلاقات العامة في المؤسسات الإعلامية في تحقيق رضا الجمهور، ومتطلبات تفعيل هذا الدور، وقد تم تطبيق هذه الأداة على عينة من الجمهور المستهدف من المؤسسات الإعلامية قوامها (304) فرد، وتوصلت الدراسة إلى النتائج إلى وجود فروق ذات دلالة إحصائية عند مستوى (0,01) بين متوسطات استجابات أفراد العينة حول واقع دور العلاقات العامة في المؤسسات الإعلامية بمنطقة جازان في تعزيز مستوى رضا الجمهور، متطلبات تفعيل دور العلاقات العامة في المؤسسات الإعلامية بمنطقة جازان في تعزيز مستوى رضا الجمهور وفقًا لمتغير (العمر). كما اتضح عدم وجود فروق ذات دلالة إحصائية عند مستوى (0,05) بين متوسطات استجابات أفراد العينة حول (واقع دور العلاقات العامة في المؤسسات الإعلامية بمنطقة جازان في تعزيز مستوى رضا الجمهور، متطلبات تفعيل دور العلاقات العامة في المؤسسات الإعلامية بمنطقة جازان في تعزيز مستوى رضا الجمهور) طبقًا لمتغير (النوع). وقد أوصت الدراسة الحالية بعددٍ من التوصيات، والتي من بينها توجيه المؤسسات الإعلامية إلى تطوير قنوات تواصل فعّالة ومستدامة مع الجمهور عبر استخدام وسائل التواصل الاجتماعي والمنصات الرقمية، لتلبية احتياجات الجمهور بسرعة وكفاءة، مع ضرورة تنظيم برامج تدريبية متخصصة لتعزيز مهارات موظفي العلاقات العامة في مجالات التفاعل مع الجمهور، والتعامل مع الأزمات، والقدرة على توجيه الرسائل بطرق تفاعلية وملائمة لاحتياجات الجمهور المحلي، وتوجيه المؤسسات الإعلامية لتبني استراتيجيات تعتمد على التفاعل المستمر مع الجمهور من خلال تقديم استبيانات دورية وورش عمل موجهة، مما يتيح فهمًا أفضل لتوقعاتهم ومتطلباتهم.
دور الذكاء الاصطناعي في إدارة الأزمات بالتطبيق على العلاقات العامة بشركة الاتصالات STC السعودية
استهدف البحث الكشف عن إمكانية توظيف الذّكَاء الاصطناعي في إدارة الأزمات مع تطبيق خاص على استراتيجيات العلاقات العامة في (شركة الاتصالات السعودية STC)، وتبحث الدراسة في كيفية استخدام تقنيات الذّكَاء الاصطناعي لتعزيز سرعة استجابة الشركة وفعالية الاتصال خلال الأزمات، بالإضافة إلى تقييم مدى تأثير هذه التقنيات على أداء العلاقات العامة في الشركة، تم استخدام منهجية وصفية تحليلية معتمدة على الاستبيانات لجمع البيانات من العاملين في قسم العلاقات العامة في (STC) في ثلاث فروع بمدينة جدة، كما تناولت الدراسة التحديات والفرص المرتبطة بتطبيق الذّكَاء الاصطناعي في إدارة الأزمات، بما في ذلك التحديات التقنية والمهنية، وكانت العينة 38 مفردة، وتوصلت الدراسة إلى عدة نتائج أهمها أن الذّكَاء الاصطناعي له دور كبير في تسريع اكتشاف الأزمات وتقديم حلول سريعة وفعالة، كما يساهم في تحسين استراتيجيات التواصل والتخطيط في العلاقات العامة، التحديات المتعلقة بالموارد والتدريب لا تزال قائمة، لكن الفرص المتاحة لاستخدام الذّكَاء الاصطناعي هائلة، والعاملون في العلاقات العامة يرون أن الذّكَاء الاصطناعي يسهل عليهم مهامهم، مع دعم قوي من الإدارة العليا، وخلصت الدراسة إلى عدة توصيات أبرزها تعزيز التدريب للموظفين، وتحسين نظم توزيع المعلومات للجمهور، استمرار دعم الإدارة العليا، واستغلال الذّكَاء الاصطناعي لتعزيز الابتكار في استراتيجيات العلاقات العامة.
دور التقنيات المالية الحديثة في تطوير منتجات المصارف الإسلامية في المملكة العربية السعودية
هدفت هذه الدراسة إلى التعرف على دور التقنيات المالية الحديثة بأبعادها (سلسلة الكتل- الذكاء الاصطناعي- تعلم الآلة- تصوير البيانات) في تطوير منتجات المصارف الإسلامية في المملكة العربية السعودية، واستخدمت الدراسة المنهج الوصفي التحليلي، وذلك بالاعتماد على حزمة من الأساليب الإحصائية، وأظهرت الدراسة وجود أثر طردي ذي دلالة إحصائية عند مستوى دلالة (0.05≤ α) لدور التقنيات المالية الحديثة في تطوير منتجات المصارف الإسلامية في المملكة العربية السعودية، وأوصت الدراسة بالعديد من التوصيات أهمها: ضرورة تحسين البنية التحتية الرقمية وتقديم دورات تدريبية متخصصة لموظفي المصارف على استخدام سلسلة الكتل، مما يعزز الأمان ويحد من عمليات الاحتيال، وذلك لتلبية احتياجات الأمان في العمليات المصرفية وتقليل الاعتماد على الوسطاء.
دور الذكاء الانفعالي في تعزيز القيادة التربوية لدى مديري التعليم في الإمارات العربية المتحدة
تهدف هذه الدراسة إلى استكشاف الدور الحيوي للذكاء الانفعالي في تعزيز القيادة التربوية لدى مديري التعليم في دولة الإمارات العربية المتحدة، حيث تمثل مجتمع الدراسة في 160 مشاركًا من مديري التعليم في مختلف المؤسسات التعليمية، وقد اعتمدت الدراسة على المنهج الوصفي التحليلي، مما أتاح للباحثة جمع وتحليل البيانات بشكل شامل، استخدمت الباحثة استبيانات مُصممة بعناية لقياس مستويات الذكاء الانفعالي وتأثيره على الأداء القيادي، حيث اشتملت هذه الاستبيانات على مقاييس متعددة تعكس جوانب مختلفة من الذكاء الانفعالي مثل الوعي الذاتي، وإدارة المشاعر، والتعاطف. أظهرت النتائج أن هناك علاقة إيجابية قوية بين الذكاء الانفعالي ومدى قدرة المدراء على بناء علاقات قوية مع المعلمين والموظفين، بالإضافة إلى تعزيز قدرتهم على حل النزاعات بطريقة فعالة، كما أكدت النتائج على أهمية الذكاء الانفعالي في تحسين بيئات العمل وتوفير أجواء تعليمية مثمرة، بناءً على هذه النتائج، توصي الدراسة بضرورة تطوير برامج تدريبية متخصصة تستهدف تنمية مهارات الذكاء الانفعالي لدى مديري التعليم، مما يسهم في تحسين أداءهم القيادي ويعزز من فعالية المؤسسات التعليمية بشكل عام.