Strategic Planning Management Research Articles

A global analysis of nearshore and submarine springs: spatial distribution, controlling factors, and probability of presence

Coastal springs act as bi-directionally preferential flow paths between coastal aquifers and oceans. While these springs can supply coastal ecosystems with nutrients, they also present vulnerabilities such as contamination and seawater intrusion. Despite their significance, substantial knowledge gaps exist regarding coastal springs due to their complex hydrogeological nature. This study provides a comprehensive global assessment of coastal springs, focusing on their distribution, controlling factors, and likelihood of occurrence. A global dataset of known coastal springs was compiled and analyzed, revealing 66 % of identified springs in the Mediterranean region, mainly linked to karst systems. In contrast, fewer springs were noted in Africa, South America, and South Asia. Key factors influencing spring occurrence were examined using geostatistical methods and integrated into a multi-criteria decision-making framework to develop a Coastal Spring Probability Index (CSPI) along coastline. High-potential areas for coastal springs were identified in regions characterized by significant carbonate and volcanic rock formations, wetter climates, and active tectonic margins, such as southern Europe, the Caribbean, tropical islands, and eastern Asia. Conversely, regions with dry climates and high water demand, such as North Africa and South America, exhibited a lower likelihood of spring presence. These findings will serve as a baseline for local-scale studies and aimed at improving coastal spring inventories and establishing monitoring networks. It will contribute to vulnerability assessment studies, thereby enhancing the management of coastal groundwater resources. The study emphasizes the importance of multidisciplinary approaches to understand coastal spring dynamics and advocates for a strategic planning in groundwater management and conservation. Ongoing efforts to inventory and monitor coastal springs, coupled with targeted conservation measures, are essential for ensuring the long-term sustainability of coastal water resources and ecosystems.

Above ground biomass estimation in the upper Blue Nile basin forests, North-Western Ethiopia

Forest ecosystems play a decisive role in the global climatic condition, as well as, provides a wide range of societal benefits, including fuel-wood, tourism, and ecosystem services are considered as one of the major sources of livelihood for the local people in the upper Blue Nile Basin. Therefore, rapid and accurate estimation of forest biomass is crucial for greatly reducing the uncertainty in carbon stock assessments, and for designing strategic forest management plans. Because, above-ground biomass (AGB) estimation is important in determining the management, environmental, and economic roles of forests in the Blue Nile basin. The study was aimed at estimating above-ground biomass in the Upper Blue Nile Basin forests by integrating field-measured data with predictors from Sentinel-2 image. The relationship between measured AGB and sentinel-2 derived vegetation indices and biophysical parameters showed a good correlation result (r value ranging from 0.67 to 0.74). A stepwise regression analysis was carried out in order to develop AGB estimation model by identifying the most important variable. The result demonstrated that, green normalized difference vegetation index, leaf area index, fraction of absorbed photosynthetic active radiation and fractional vegetation cover achieved good performance in predicting AGB with R2 value > 0.5. AGB was estimated with a coefficient of determination (R2) of 0.59 adjusted R2 of 0.618 and root mean square error of (RMSE) 38.36 t/ha in comparison to field observations. The maximum AGB value of 268.32 t/ha was estimated in the Alemsaga natural forest, which is a highly protected dense forest stand from any entrance and disturbance. Generally, integrating field data with optical remote sensing data provides more reliable result for AGB estimation. Moreover, it is also recommended to employ RADAR and LiDAR remote sensing data products together in order to attain more precise estimate results of AGB with great potential for forest resource monitoring and management.

Progressive Supervision via Label Decomposition: An long-term and large-scale wireless traffic forecasting method

Long-term and Large-scale Wireless Traffic Forecasting (LL-WTF) is pivotal for strategic network management and comprehensive planning on a macro scale. However, LL-WTF poses greater challenges than short-term ones due to the pronounced non-stationarity of extended wireless traffic and the vast number of nodes distributed at the city scale. To cope with this, we propose a Progressive Supervision method based on Label Decomposition (PSLD). Specifically, we first introduce a Random Subgraph Sampling (RSS) algorithm designed to sample a tractable subset from large-scale traffic data, thereby enabling efficient network training. Then, PSLD employs label decomposition to obtain multiple easy-to-learn components, which are learned progressively at shallow layers and combined at deep layers to effectively cope with the non-stationary problem raised by LL-WTF tasks. Finally, we compare the proposed method with various state-of-the-art (SOTA) methods on three large-scale WT datasets. Extensive experimental results demonstrate that the proposed PSLD significantly outperforms existing methods, with an average 2%, 4%, and 11% performance improvement on three WT datasets, respectively. In addition, we built an open source library for WT forecasting (WTFlib) to facilitate related research, which contains numerous SOTA methods and provides a strong benchmark. Experiments can be reproduced through https://github.com/Anoise/WTFlib.

Dynamic BIM Adoption Impact on Contract Cost Variance Factors Using PLS-SEM Techniques

This paper investigates the Building Information Modeling (BIM) adoption impact on the factors of Contract Cost Variance (CCV) over time. The study considers qualitative and quantitative data to identify the most common causes of CCV through pre-tendering. A partial least square-structure model (PLS-SEM) procedure was used to develop a causal model and rank CCV factors based on their effect, partially based on prior survey raw data conducted in 2022 and the data from 94 projects. Construction industry experts assessed the prior five-year rate of BIM adoption on construction projects to infer the expected trend in BIM adoption in the future (until 2037). Based on the causal model of CCV factors and the future rates of BIM adoption, the dynamic impact of BIM on CCV factors over time was modeled and analyzed. The analysis shows that BIM reduces CCV over time by improving Estimator Performance (EP), Information Quality (IQ), and contractual procedure (CP). The results showed that the CP, EP, and EF have directly impacted CCV, and the PC and IQ indirectly affect the CCV. This paper considers the temporal aspect, examining how the impact of BIM on CCV factors evolves. This dynamic analysis is crucial for long-term strategic planning in construction management.

Constructing a Hospital Department Development-Level Assessment Model: Machine Learning and Expert Consultation Approach in Complex Hospital Data Environments.

Every hospital manager aims to build harmonious, mutually beneficial, and steady-state departments. Therefore, it is important to explore a hospital department development assessment model based on objective hospital data. This study aims to use a novel machine learning algorithm to identify key evaluation indexes for hospital departments, offering insights for strategic planning and resource allocation in hospital management. Data related to the development of a hospital department over the past 3 years were extracted from various hospital information systems. The resulting data set was mined using neural machine algorithms to assess the possible role of hospital departments in the development of a hospital. A questionnaire was used to consult senior experts familiar with the hospital to assess the actual work in each hospital department and the impact of each department's development on overall hospital discipline. We used the results from this questionnaire to verify the accuracy of the departmental risk scores calculated by the machine learning algorithm. Deep machine learning was performed and modeled on the hospital system training data set. The model successfully leveraged the hospital's training data set to learn, predict, and evaluate the working and development of hospital departments. A comparison of the questionnaire results with the risk ranking set from the departments machine learning algorithm using the cosine similarity algorithm and Pearson correlation analysis showed a good match. This indicates that the department development assessment model and risk score based on the objective data of hospital systems are relatively accurate and objective. This study demonstrated that our machine learning algorithm provides an accurate and objective assessment model for hospital department development. The strong alignment of the model's risk assessments with expert opinions, validated through statistical analysis, highlights its reliability and potential to guide strategic hospital management decisions.

How can health systems approach reducing health inequalities? An in-depth qualitative case study in the UK

BackgroundAddressing socioeconomic inequalities in health and healthcare, and reducing avoidable hospital admissions requires integrated strategy and complex intervention across health systems. However, the understanding of how to create effective systems to reduce socio-economic inequalities in health and healthcare is limited. The aim was to explore and develop a system’s level understanding of how local areas address health inequalities with a focus on avoidable emergency admissions.MethodsIn-depth case study using qualitative investigation (documentary analysis and key informant interviews) in an urban UK local authority. Interviewees were identified using snowball sampling. Documents were retrieved via key informants and web searches of relevant organisations. Interviews and documents were analysed independently based on a thematic analysis approach.ResultsInterviews (n = 14) with wide representation from local authority (n = 8), NHS (n = 5) and voluntary, community and social enterprise (VCSE) sector (n = 1) with 75 documents (including from NHS, local authority, VCSE) were included. Cross-referenced themes were understanding the local context, facilitators of how to tackle health inequalities: the assets, and emerging risks and concerns. Addressing health inequalities in avoidable admissions per se was not often explicitly linked by either the interviews or documents and is not yet embedded into practice. However, a strong coherent strategic integrated population health management plan with a system’s approach to reducing health inequalities was evident as was collective action and involving people, with links to a “strong third sector”. Challenges reported include structural barriers and threats, the analysis and accessibility of data as well as ongoing pressures on the health and care system.ConclusionWe provide an in-depth exploration of how a local area is working to address health and care inequalities. Key elements of this system’s working include fostering strategic coherence, cross-agency working, and community-asset based approaches. Areas requiring action included data sharing challenges across organisations and analytical capacity to assist endeavours to reduce health and care inequalities. Other areas were around the resilience of the system including the recruitment and retention of the workforce. More action is required to embed reducing health inequalities in avoidable admissions explicitly in local areas with inaction risking widening the health gap.

Evaluation of the acute hepatitis B surveillance system in the Republic of Korea following the transition to mandatory surveillance.

The prevalence of hepatitis B in the Republic of Korea has declined, yet the disease burden persists. After various changes in targets and methods, the national hepatitis B surveillance system now exclusively monitors acute cases. We aimed to assess the alignment of this system with its intended purpose and to recommend improvements supporting the national strategic plan for viral hepatitis management. This study assessed acute hepatitis B cases reported to the Korean Disease Control and Prevention Agency's mandatory surveillance system over a 10-year period (2013-2022). It evaluated 5 factors from the Centers for Disease Control and Prevention's Updated Guidelines for Evaluating Public Health Surveillance Systems: simplicity, positive predictive value, data quality, timeliness, and usefulness. The nonspecific nature of acute hepatitis B symptoms, along with the complexity of diagnostic criteria, indicated a high potential for misreporting. The surveillance system demonstrated a high positive predictive value (94.4%), with data quality and timeliness also rated high. However, data following the onset of the coronavirus disease 2019 pandemic indicate the need for improvement. Moreover, given the relative importance of specific characteristics of chronic infectious diseases, only limited interventions are implementable through the current surveillance system. The evaluation of the Republic of Korea's acute hepatitis B surveillance system revealed high positive predictive value, data quality, and timeliness. However, improvements can be made in the misreporting of chronic cases and the system's usefulness. More accurate reflection of the characteristics of acute hepatitis B cases is essential for better management of viral hepatitis.

The CFO's Playbook: Strategic Financial Management For Competitive Advantage

This study explores the impact of Strategic Financial Management and Financial Planning and Analysis on Competitive Advantage within Bank Syariah Indonesia KC Ternate, with a focus on the mediating role of Financial Decision-Making Quality. Utilizing a quantitative research design, data was collected from 70 customers through structured questionnaires and analyzed using Smart PLS (Partial Least Squares). The findings reveal significant direct effects of Strategic Financial Management and Financial Planning and Analysis on Competitive Advantage, with coefficients of 0.50 and 0.32, respectively. Additionally, the analysis uncovers significant indirect effects where both Strategic Financial Management and Financial Planning and Analysis influence Competitive Advantage through improved Financial Decision-Making Quality, with coefficients of 0.25 and 0.21, respectively. These results underscore the critical role of high-quality financial decision-making in enhancing the competitive advantage of the bank, highlighting the need for effective strategic financial management and planning to drive organizational success.

Dry Deposition in Urban Green Spaces: Insights from Beijing and Shanghai

Urbanization and industrialization have escalated air pollution into a critical global issue, particularly in urban areas. Urban green infrastructures (GIs), such as parks and street trees, play a vital role in mitigating air pollution through dry deposition, the process by which air pollutants are removed by deposition onto plant surfaces or through plant uptake. However, existing studies on the dry-deposition capacity of urban green spaces are limited in their ability to reflect variations at the tree-species level, hindering comprehensive evaluations and effective management strategies. This study aims to quantitatively assess the dry-deposition capacity of the urban green spaces of Beijing and Shanghai for six major air pollutants in using an improved dry-deposition model and tree-species-specific data. Results showed that Shanghai’s urban green spaces had a monthly average dry-deposition rate of 5.5 × 10−6 s m−1, slightly higher than Beijing’s rate of 5.3 × 10−6 s m−1. Significant seasonal variations were observed, with summer showing the highest deposition rates due to favorable meteorological conditions. Broad-leaved species such as Zelkova serrata in Beijing and Photinia serratifolia in Shanghai exhibited superior dry-deposition capacities compared to coniferous species. Temperature significantly influenced dry-deposition rates for gaseous pollutants, while particulate-matter deposition was primarily affected by pollutant concentrations. This study provides critical insights into the air = purification functions of urban green spaces and underscores the importance of species selection and strategic green-space planning in urban air-quality management, informing the development of optimized urban-greening strategies for improved air quality and public health.

The Impact of Strategic Planning to Empower Human Resources in Achieving Organizational Creativity an Applied Study in the Engineering Works Directorate - Iraqi Ministry of Interior

The relationship of strategic planning in human resources management appears to be an integral part of the organization’s strategy, and it is located at the third level of the pyramid of strategic decision-making within the organization. Therefore, empowering employees and providing independence for employees makes them feel less restricted than others, especially with regard to technical aspects or compliance. With work rules, and according to this, management scholars have unanimously agreed about the role of strategic planning in achieving organizational creativity, as it is seen that organizations at the present time are living in changing circumstances, and from here begins the research problem in the need for organizational creativity as it is an urgent need, which requires officials who The senior management is responsible for developing and developing the capabilities of the specializations in the field of administrative work and involving them in solving problems and making decisions in view of the continuous changes and developments and to keep pace with the technological and information revolution, including the Iraqi Ministry of Interior as it provides security services and protection to society and state security and stability. Therefore, the research aimed to verify the importance of. The strategic planning implemented by the Iraqi Ministry of Interior to demonstrate its role in achieving organizational creativity through human resources. The research also adopted a questionnaire tool to collect the opinions of workers in the research community (Directorate of Engineering Works - Ministry of Interior), where data was collected through distributed questionnaires numbering (350). A questionnaire suitable for analysis, and (50) of them were neglected because they were not suitable for analysis. The research reached the most important results that there are a group of obstacles and problems facing strategic planning, and the most important problems facing it are the problems of monitoring and implementing plans, as those in charge of departments do not succeed in implementing them for many considerations, the most important of which is weak culture. The importance of strategic planning, and the lack of administrative experience and qualifications related to strategic management tools, which recommended the necessity of increasing attention to strategic planning as an important approach to achieving institutional creativity in government organizations from various aspects.

An integrated academic library supply chain (IALSC) model

Purpose This exploratory study illustrated an integrated academic library supply chain (IALSC) model to design the strategic planning management tool of the academic library. The supply chain (SC) model has been widely used in manufacturing industries and has also been applied in many service industries with the same objectives. However, very few studies for academic libraries, particularly the implementation of the integrated SC model, are being executed, although it has been proven that SC management in practice can enhance stakeholder satisfaction, increase revenues and decrease total costs. The academic library also needs to be successful in providing quality products, services and information to fulfil the library users’ needs within the library budget. This research aims to develop a verified model of the integrated SC for the academic library. Design/methodology/approach This research used both qualitative and quantitative approaches to achieve its objectives. The proposed conceptual SC model, named as IALSC, for the academic library has been developed using the system thinking method; eventually, it has been validated through the fuzzy Delphi method, an expert judgement technique. Findings The research findings could contribute to academic library management in planning and formulating a roadmap for the library to increase its quality services for all stakeholders. Originality/value The conceptual model would have a high potential to be proposed as the strategic decision-making tool for an academic library, i.e. the flow of funds through the operations of the library, the library stakeholders’ satisfaction measurement, the decision process currently made by the library management team on the purchase of new library resources, the library resource suppliers, etc.

Strategi Pengembangan MSDM Untuk Meningkatkan Kinerja Dan Motivasi Karyawan

Human resource management is one of the most important factors in the success of an organization. Proper strategic planning in HR management can help increase employee motivation and productivity. The purpose of this study is to understand the strategies used by Human Resource Management to improve employee motivation and performance efficiency. The research findings show that strategies such as training and development programs, leadership style, and transparency have a significant impact on employee motivation and performance. This can be interpreted that a holistic approach in HRM development is essential to increase employee motivation and productivity.

Enhance carbon emission prediction using bidirectional long short-term memory model based on text-based and data-driven multimodal information fusion

Accurate projections of carbon emissions are essential for climate change responses and environmental policy development. However, the complexity of carbon emission projections has increased due to various factors like technology and policy, posing challenges for accuracy. Many studies rely on time-series data alone, overlooking the combined impact of multiple information sources on carbon emissions. To overcome these bottlenecks, a hybrid model is proposed, integrating multimodal data, convolutional neural network inceptionv2 (CNN-inceptionv2), text convolutional neural network (TextCNN) optimized by attention mechanism, and bi-directional long and short-term memory (BiLSTM). Firstly, the time series feature set and text feature set are extracted using the CNN-inceptionv2 and the TextCNN, respectively. Subsequently, the feature sets of the two modal information are fused and outputted into a multimodal feature set, which are ultimately predicted using BiLSTM. The validity of the study model was also verified by different methods such as ablation experiments, single model and combined model. The coefficient of determination (R2) values were 0.986 for the validation set and 0.933 for the prediction set. In comparison to other models, the present model showed an average improvement of 16.6% in R2 values, fully indicating its superior predictive performance. The high point and interval predictions of carbon emissions further verified the superior prediction accuracy of the present model. The present model can accurately predict carbon emissions, providing data references for carbon emission decision makers. Additionally, it further enriches the methodological system of carbon emission prediction and aids in strategic planning for future carbon emission and energy management.

Leadership Succession Planning for ANCC Accredited Providers in Nursing Continuing Professional Development.

Succession planning in leadership is a strategic process used to identify and develop future leaders to fill key organizational positions. This process ensures continuity of leadership and helps maintain the organization's performance over time. Succession planning is essential for critical roles and can be part of a broader strategic plan for talent management. Organizations that are accredited by the American Nurses Credentialing Center (ANCC) in Nursing Continuing Professional Development (NCPD) can benefit from implementing succession planning to drive the stability of its work as an Accredited Provider and confirm that the organization maintains its commitment to quality in providing NCPD. This column describes how the Accredited Provider Program Director (AP-PD) role can benefit from implementing succession planning into the structure of the Accredited Provider processes. [J Contin Educ Nurs. 2024;55(7):321-325.].

Developing a strategic plan for efficient management of industrial waste in the machinery sector at United Tractors Company

United Tractors Company prioritizes sustainable waste management practices. This study investigated their current system, aiming to identify opportunities for improvement in efficiency and environmental impact. The research focused on how effectively United Tractors manages their waste streams, from minimizing generation at the source to responsibly processing and disposing of unavoidable waste. The analysis revealed a successful integrated waste management system at United Tractors, encompassing practices like composting, recycling, and proper treatment of hazardous materials. This approach demonstrates their commitment to minimizing their environmental footprint. The study went beyond current practices, identifying promising advancements in waste processing technologies like gasification and bioethanol production. These techniques offer exciting possibilities for further reducing waste and potentially even generating valuable resources from waste materials. The effectiveness of United Tractors' system can be attributed to their comprehensive approach. The study conducted a detailed waste collection study to understand the composition and volume of waste generated across various departments. This data-driven approach allowed for a thorough cost analysis and an evaluation of the operational efficiency within the waste management system. Importantly, the study highlighted the potential benefits of incorporating advanced waste processing techniques for even greater sustainability in the future. While further feasibility studies are needed before full-scale implementation, these findings pave the way for United Tractors to develop and implement even more sustainable waste management practices in the coming years

Evaluation of Planning and Strategic Management at Social Organization for Business Sustainability

AbstractThis research analyzes the evaluation of programs and strategic management planning of social organizations. A qualitative approach is used as part of photographing the state and potential of the organization for the greatest achievement as an educational organization with the best reputation. The process of collecting data by interview. The results showed that the Good to Great theoretical framework can be used as a tool for measuring or evaluating programs and strategic management of organizations by identifying various strengths and weaknesses that become spaces for organizational improvement, based on each characteristic of the principles studied. Research proves that the Discipline of People, Discipline of Ideas, and Discipline of Action in the framework of Good to Great theory can be applied and relevant as an evaluation framework in the context of a social organization in Indonesia. These three aspects show a sustainable business with superior programs according to organizational values. Keywords:Business Sustainability, Business Planning, Strategic Management, Social Organization

DIGITAL TRANSFORMATION IN THE NATURAL RESOURCES INDUSTRY: RETHINKING THE STRATEGIC APPROACHES

This article examines digital transformation in the natural resources industry, focusing on strategic approaches, environmental sustainability, and production processes. The goal is to explore how digital technologies impact the sector, including energy, utilities, and mining, and to identify strategic approaches to digital transformation. Utilizing a comprehensive literature review and analysis of case studies, the article systematically examines existing research and industry practices to identify key concepts, successful strategies, and best practices. The main results highlight the importance of strategic planning, technology adoption, and change in organizational management in achieving digital transformation success. The article concludes that digital transformation offers significant opportunities for innovation and growth in the natural resources industry, while also presenting challenges related to strategic alignment and continuous improvement. The novelty of this work lies in its comprehensive analysis of digital transformation strategies, environmental impacts, and operational efficiencies, offering insights for industry practitioners and academics.

The Importance of Digital Marketing Integration in Strategic Management Planning

This study discusses the importance of digital marketing integration in the company's strategic management plan. Digital marketing has become a key factor in achieving business goals in the increasingly interconnected digital era. The formulated problems include understanding of digital marketing and its integration benefits, challenges in adopting digital marketing, and the role of technology and data analysis in supporting digital marketing integration and accurately measuring campaign effectiveness. In the context of understanding digital marketing, this research outlines the definition and role of digital marketing in the overall marketing strategy. Digital marketing integration opens opportunities to target markets more precisely, enhance customer engagement, and optimize customer experiences. Challenges include technical constraints, changes in organizational culture, and a lack of understanding of digital technology. To overcome these challenges, companies need to invest in resources, gain support from top management levels, and prioritize a data-driven approach in decision-making. The role of technology and data analysis is pivotal in supporting digital marketing integration. Companies should leverage data analytics technology and marketing automation to understand customer behavior, identify market trends, and deliver relevant messages automatically. Data analysis also aids in measuring campaign performance and calculating ROI, enabling companies to allocate marketing budgets effectively. In conclusion, digital marketing integration is not just a choice but a necessity for companies to remain relevant and competitive in an increasingly digital business era. By confronting challenges and optimizing the role of technology, companies can achieve competitive advantage, enhance marketing efficiency, and attain long-term success. A data-driven approach and the utilization of data analysis technology will be key for companies to achieve desired business goals.

Kajian teorI keterkaitan setting fisik dan identitas Kota dalam konteks City Branding

City branding is very important for the growth and marketing of cities. Urban planning, visual communication, and graphic design are used to build a distinctive city identity that represents its values ??and goals. This research examines how city branding improves local economies and competitiveness around the world and how physical and non-physical variables shape city identity over time. This research examines city branding, city identity, and 'place fuzziness' using a comprehensive literature review. The aim of this research is to find out how the form of city identity, especially in tangible terms, supports city identity so that branding of a city can be achieved from an architectural and urban design perspective. The research results show that city branding can attract investment and tourists and strengthen the character and attractiveness of the city. A complex combination of physical and non-physical components forms a city's identity, which underlies city branding. This research also emphasizes the need to resolve 'place fuzziness'—unclearness of a place's identity or function—to improve city branding. This research suggests that city planners and marketers must work together to ensure that physical development and social activities promote a city's identity, eliminate ambiguity, and improve its image. Creating a vibrant and sustainable city image requires integration and strategic planning in city branding and identity management.

اتجاهات الموظفين الإداريين بمستشفى جامعة الملك عبد العزيز الجامعي نحو توظيف استراتيجيات إدارة المعلومات لتطوير الأداء: دراسة حالة

The research aimed to identify the attitudes of administrative employees at King Abdulaziz University Hospital towards employing information management strategies to develop employee performance, and to reveal the challenges facing to develop employee performance, and also reveal the significance of statistical differences in employee attitudes and the challenges attributed to the variable of gender and age. Academic qualification and specialization. The study followed the descriptive survey method, where the study population consisted of (171) employees, (122) responded, (71.34%). A questionnaire was constructed that consisted of (16) statements measuring attitudes and (10) statements measuring challenges, the most prominent results were that the arithmetic average of the attitudes of employees (4.11) with a high degree. It was found that the weighted arithmetic average of the ratings of the challenges (3.70). ) to a high degree and the most prominent challenges are “the absence of a scientific methodology in strategic planning for information management in administrative work, the organizational climate does not encourage the application of information management strategies, and the weakness of strategic leadership competencies reduces the application of information management strategies. It was found that there are statistically significant differences between the averages of attitudes of administrative employees according to gender in favor of males and according to age in favor of the age group of (20-30) years, and differences according to qualification in favor of high school and diploma versus higher than a bachelor’s degree, and differences according to specialization in favor of business administration. It was also shown that there were differences in the assessment of obstacles in favor of males, and differences in favor of the age group of (31 years - 40 years) and males. (41) years and over compared to the group of (20-30) years, while no differences were found in the assessment of obstacles due to qualification and specialization. The study recommended the necessity of working to address the challenges revealed by the results of the study and developing practical procedures to address them. Information management strategies and updating the systems in place at the university.