Resource Management Strategies Research Articles

The Strategy of Human Resource Management Based on the K-Means Clustering Algorithm

With the continuous accumulation of enterprise data and the continuous development of technology, data-driven decision-making has become an important trend in enterprise management. Human resource management, as an important component of enterprise management, also requires the use of data analysis tools to optimize the decision-making process. Traditional human resource management strategy algorithms are often based on experience and intuition, lacking scientific data support. These algorithms often struggle to achieve ideal results when dealing with large and complex human resource data. This study aims to provide more scientific and accurate data support for human resource management by introducing the K-means algorithm. The main research purpose of this paper is to detect and identify the data in enterprise human resource management. Data mining can realize the comprehensive detection and analysis of poetry, but the application of data mining algorithms in human resource management data processing is not much. This paper hopes to analyze the anomaly of human resource data statistics by data mining method. According to the characteristics of the K-means algorithm and DBSCAN algorithm, a hybrid K-means algorithm is proposed in this study, which can automatically generate a more appropriate K value and realize parameter self-adaptation with less manual intervention. The optimized clustering K-means algorithm obtains the initial value of DBSCAN through calculation, and then the abnormal data of human resources statistics can be obtained through the second clustering calculation. The optimized K-means algorithm can detect human resource statistics data in real time, and give a new idea for human resource analysis of data anomalies.

Streamflow trends and flood frequency analysis: a regional study of the UK.

In recent years, the escalating effects of climate change on surface water bodies have underscored the critical importance of analyzing streamflow trends for effective water resource planning and management. This study conducts a comprehensive regional investigation into the streamflow rate trends of 18 rivers across the United Kingdom (UK). An enhanced Mann-Kendall (MK) test was employed to meticulously analyze both rainfall and streamflow trends on monthly and annual scales. Additionally, the Innovative Trend Analysis (ITA) method was applied to elucidate the variability of streamflow rates, providing a more nuanced understanding of hydrological changes in response to climatic shifts. MK test reveals statistically significant positive trends in streamflow rates, particularly for rivers in south-central Scotland and northern England. Specifically, in January, rivers such as the Tay at Ballathie, Tweed at Peebles, and Teviot at Ormiston showed Z-scores above 2. Annually, similar positive trends were observed, with the Tay at Ballathie (Z = 3.42) and Nith at Friars Carse (Z = 3.35) exhibiting the highest increases in streamflow rates. The ITA method showed no relevant trends for the lowest values of streamflow, except for the Thames at Kingston, while considerable variability was observed for the highest streamflow rates, with several rivers showing positive trends and, however, some England rivers, like Bure at Ingworth, Test at Broadlands, and Trent at Colwick, showing negative trends. From this perspective, a more in-depth analysis of the extreme streamflow trends was carried out. In particular, the flood frequency of the maximum annual streamflow was assessed, based on the fitting of the Generalized Extreme Value (GEV) distribution on the annual maxima. Increasing location parameter (μ) and return period trends were observed for several rivers across the UK. In particular, the Tay at Ballathie (Scotland) showed the most marked increase, with μ that ranged from about 730 m3/s to more than 900 m3/s. At the same time, slight decreasing trends were observed for the Trent River (μ from 378 m3/s to 341 m3/s). The critical comparison of the MK test, ITA, and GEV distribution fitting revealed both agreements and discrepancies among the methods. While the analyses generally aligned in detecting significant trends in streamflow rates, notable discrepancies were observed, particularly in rivers with negligible trends. These inconsistencies highlight the complexity of hydrological responses and the limitations of individual methods. Overall, the study provides a comprehensive view of how streamflow dynamics are evolving in UK rivers, highlighting regional variations in the impact of climate change. This understanding can improve water resource management strategies by integrating diverse analytical approaches.

Assessing the influence of land use/land cover dynamics and climate change on water resources in Upper Blue Nile, Ethiopia

ABSTRACT This study evaluates the impact of climate and land use changes on the Lake Tana Basin's hydrology, using datasets on land use, weather patterns, topography, soil characteristics, and discharge. Future climate data were obtained from Global Climate Models (GCMs) from the Coupled Model Intercomparison Project Phase Five (CMIP5) and generated using the Weather Generator (LARS-WG) tool from the Long Ashton Research Station with five distinct GCMs. Land use changes were projected using the Markov chain model based on cellular automata (CA). The Soil and Water Assessment Tool (SWAT) model was used to assess changes in hydrological elements between reference and future periods, with calibration and validation ensured by the Integrated Parameter Estimation and Uncertainty Analysis Tool (IPEAT). Projections indicate a 4.9 °C increase in ensemble mean annual temperature and a 16% rise in precipitation by the end of the 21st century under Representative Concentration Pathway (RCP) 8.5. Additionally, average annual hydrological components, including water yield, soil water, percolation, lateral flow, runoff, and actual and potential evapotranspiration, are expected to increase due to combined climate and land use changes. Therefore, it is crucial to fully understand these cumulative impacts before formulating and implementing water resource management strategies in the basin.

Assessment of Groundwater Age in the Upper Chao Phraya River Basin Using Tritium and Carbon-14 Isotope Analysis

Groundwater is a critical resource in the Upper Chao Phraya basin, providing consistent water supplies for agricultural, domestic, and industrial activities, especially during the dry season. This study utilized tritium and carbon-14 dating techniques to investigate groundwater age, analyzing 273 samples collected in 2021 from various wells and depths across the basin. Tritium and carbon-14 were measured using liquid scintillation counting (LSC). The results revealed a wide range of groundwater ages, including recently recharged water with tritium concentrations up to 2.4 TU, corresponding to groundwater ages ranging from a few months to 44.17 years BP (Before Present), with an average of 18.26 years BP. Older groundwater was identified with carbon-14 concentrations as low as 3.22 pMC, indicating ages of up to 22,899 years, with a mean age of 6687 years BP. Correlation analysis showed a positive relationship between tritium and carbon-14 concentrations (r = 0.52). Spatial distribution patterns indicated that tritium concentrations were higher in northern and mountainous areas, identifying these as critical recharge zones. In contrast, lower carbon-14 concentrations in the central and southern areas suggested the presence of older groundwater, emphasizing the need for careful management of these ancient water reserves. The spatial variation in tritium and carbon-14 concentrations highlights differences in groundwater circulation and recharge patterns, enabling the identification of key recharge zones in the northern and highland regions. This highlights the importance of conserving these areas from pollution and over-extraction. The presence of old groundwater in the central and southern areas further emphasizes the need for ongoing monitoring to sustainably manage these long-term water resources. This study enhances the understanding of groundwater dynamics in the Upper Chao Phraya basin and provides valuable insights for improving water resource management strategies.

Ecological footprint spillover effects in Europe: New insights from dynamic spatial panel data model with common shocks

This comprehensive study addresses the urgent global challenges of climate change and environmental degradation by focusing on the Ecological Footprint (EF). Unlike previous studies, it introduces a novel approach incorporating spatial spillover, temporal effects, and common shocks in panel data analysis. The spatial spillover effect highlights the influence of trade, pollution havens, and competition between neighboring countries on EF. The temporal effects emphasize the significance of historical production patterns and export strategies in shaping the current EF. The study also considers the impact of exogenous common shocks, such as international agreements and global events, on EF. Utilizing a dynamic spatial panel data model with common shocks, the research examines 40 European countries from 1992 to 2020, revealing the significant impact of biocapacity, energy consumption, industrialization, and globalization on EF. Findings indicate that spatial spillover effects contribute to EF transfer, emphasizing the need for collaborative global efforts. The study sheds light on the interconnectedness of environmental impacts and underscores the importance of considering both weak and strong forms of cross-sectional dependence in achieving accurate estimations. The research enriches our understanding of EF determinants and provides nuanced insights for policymakers striving to develop effective strategies for sustainable resource management and environmental conservation.

From expansion to efficiency: Machine learning-based forecasting of Japan's building material stocks under demographic declines

Japan's unique demographic trajectory, marked by population decline and aging, coupled with continued urbanization, presents distinct challenges for aligning built environment capacity with resource efficiency. This study aims to investigate the historical evolution and project future scenarios of building material stock (MS) and their spatial distribution across Japan's three major metropolitan areas. Through a comprehensive material flow and stock analysis, the historical accumulation of building materials from 2009 to 2020 was quantified, revealing a dominance of concrete and an increasing overall stock. The contributions of various driving factors to changes in construction areas were explored, identifying population dynamics as the predominant influence. Leveraging shared socioeconomic pathway scenarios (SSPs), this research forecasted building floor area and MS until 2050 under five distinct SSPs. The results indicated an overall reduction across all scenarios, yet with a continued concentration in high-density urban cores. The substantial gap between the highest and lowest projected MS scenarios highlighted opportunities for material conservation and emission reductions through sustainable practices. Sustainable urban development in densely populated regions necessitates a balance between infrastructure provision and environmental conservation, while in sparsely populated areas, the focus shifts to the efficient management and utilization of vacant properties and materials to cope with the impacts of significant population declines. By offering insights into the building floor area and MS implications of Japan's demographic changes, this study underscores the necessity of sustainable urban planning and resource management strategies to navigate the challenges posed by demographic shifts, ultimately contributing to sustainable development and environmental conservation goals.

Increasing vulnerability of vegetation to Meteorological and Groundwater drought: A Case study in Argentina

Study RegionContinental Argentina, South America. Study FocusThis study integrates multiple data sources to analyze the response of vegetation to meteorological and groundwater drought events in Argentina. It utilizes GRACE satellite data to monitor water storage variations, the GLDAS hydrological model to track soil moisture levels, and NDVI to assess vegetation health, categorized by different vegetation types. Meteorological data facilitated the computation of drought severity using the Standardized Precipitation-Evapotranspiration Index (SPEI). Anomalies in groundwater storage, derived from these data, informed the calculation of the Grace Groundwater Drought Index (GGDI). A comprehensive statistical analysis was conducted to examine the impact of meteorological (SPEI) and groundwater (GGDI) droughts on various vegetation types. New Hydrological Insights for the RegionThe study reveals that from 2002 to 2022, GRACE-TWSA and GLDAS-TWSA displayed consistent trends in Argentina. Meteorological droughts, characterized by higher frequency and intensity, predominantly affect croplands and grasslands. Compared to lagged effects, the cumulative impact of droughts was found to be more significant. Shrublands demonstrated the greatest resistance to drought, whereas vegetation in humid regions showed lower drought tolerance. Notably, the duration associated with the lag effects of meteorological droughts decreased from 2.16 months in 2002–1.52 months in 2020, suggesting an increasing sensitivity of vegetation to these droughts. This underscores the urgency of developing targeted drought resilience and water resource management strategies.

Comprehensive assessment of water pollution and health risks in the Angereb Reservoirs, Gondar, Ethiopia

Angereb Reservoirs are experiencing significant levels of pollution due to various anthropogenic activities such as agricultural runoff, untreated sewage discharge and industrial waste, were degrading water quality and causing eutrophication. Communities used Angereb Reservoir water is at increased risk of waterborne diseases; particularly heavy metal causes chronic health problems. However there was lack of comprehensive data on the cause and extent of pollution in the Angereb Reservoir. This comprehensive assessment highlights urgent need for integrated water resource management and effective pollution control strategies. This study was conducted through a multi-faceted and systematic approach involving several key methodologies. Six water samples were collected along the strategic points of the reservoir between May 2023 and March 2024. Different standard analytical methodologies were applied for analysis of water quality parameters including pH, dissolved oxygen, nutrients and heavy metals. The finding indicates that the concentration (mg/L) of heavy metals were Fe (0.01–6.56), Zn (0.67–5.22), Cu (0.009–0.19), Mn (0.0–1.89), Cr (5.06 × 10–5–0.03), Cd (0.029–0.27) and Pb (0.001–2.216). Cd and Pb were exceeded WHO for safe drinking water, heavy metal evaluation index values was > 10. Hazard Quotient (HQ), hazard index (HI) and incremental lifetime cancer risk (ILCR) were calculated. Average HQ values for Cd and Pb were above the risk threshold (HQ>1), indicating significant long-term exposure risks. HI>1 suggested potential non-carcinogenic effects. Furthermore, ILCR values exceeding 10–4 threshold, shows that Cd and Pb were the major risk factor for cancer particularly in children. The findings underscore the urgent need for Cd and Pb removal from Angereb reservoir.

Examining the environmental consequences of China's mineral wealth and governance in the context of the natural resource curse

This study investigates the environmental consequences of China's mineral wealth and governance within the framework of the natural resource curse. The natural resource curse posits that countries rich in natural resources often experience less economic growth and worse development outcomes than countries with fewer natural resources. This phenomenon is particularly relevant for China, which has experienced significant mineral wealth since the 1990s. The primary aim of this research is to assess how China's mineral wealth and governance structures have influenced environmental outcomes from 1990 to 2022, using an econometric model. The results reveal three key findings: First, regions with higher mineral wealth have experienced more severe environmental degradation, particularly in terms of air and water pollution. Second, governance quality plays a critical role in moderating these effects, with better governance associated with less environmental harm. Third, economic growth driven by mineral wealth does not necessarily translate into improved environmental conditions, highlighting a disconnect between economic and environmental objectives. The policy implication is clear: to mitigate the environmental consequences of mineral wealth, China must strengthen its governance mechanisms and integrate environmental considerations into its resource management strategies.

Main Characteristics of the Geological Structure of the Evaporite Formation of the Amu Darya Syneclise

The geological structure of the evaporite formation in the Amu Darya syneclise is a complex system that provides valuable insights into the region's geological history and economic potential. The study aims to analyse the main characteristics of the geological structure of the evaporite formation in the Amu Darya syneclise to expand knowledge of the geological and environmental history of the region and to identify the potential of these deposits for various applications. The methods used for this study included geological mapping, mineralogical analysis, stratigraphic analysis and geochemical research. The study identifies three distinct water-bearing horizons within the evaporite complex: Sharaplinsky, Yolotan, and Sakar. These horizons exhibit varying characteristics in terms of composition, water content, and distribution across the basin. Geomorphological manifestations, such as salt lakes and salt marshes, play a crucial role in understanding the ecological and geological history of the region. The evaporite formation holds substantial economic importance, hosting valuable resources including salts, oil, and gas. This geological structure supports regional industrial development, job creation, and overall economic growth. The study also highlights the need for further research into the geology and geomorphology of the Amu Darya syneclise to better understand the formation and dynamics of evaporite deposits and their role in the region’s current environmental and economic sectors. The study emphasizes the need for efficient technologies and methods for resource extraction and management to ensure sustainable development and minimize environmental impact. The research provides crucial data for optimizing mineral extraction strategies and developing effective natural resource management approaches. It underscores the importance of understanding the geological structure for sustainable ecological and economic development in the region. The practical significance of this study is a basis for developing more effective natural resource management strategies based on an understanding of the geological processes of evaporite sedimentation in the Amu Darya syneclise, which is key to the sustainable development of the region’s ecological and economic systems.

Challenges and way forward in the handling and disposal of battery waste: Towards sustainable practices

<p>The management and disposal of battery waste, particularly lead-acid batteries, present numerous challenges that must be addressed to ensure environmental protection, public health, and sustainable resource management. This thesis examines the multifaceted nature of these challenges and explores potential solutions for sustainable battery management. Drawing on insights from prior research, field observations, stakeholder interviews, and literature reviews, the study synthesizes existing knowledge to inform strategies for mitigating the environmental, safety, and economic impacts associated with battery waste. The current scenario on battery waste management highlights significant challenges, including environmental pollution, health risks, safety hazards, recycling challenges, regulatory compliance issues, technological limitations, infrastructure constraints, and the need for public awareness and education. Countermeasures to address these challenges encompass regulatory interventions, technological innovations, infrastructure development, capacity building, and public engagement initiatives. By integrating findings from diverse sources, this thesis aims to contribute to the existing knowledge base on battery waste management and propel strategies for sustainable resource management.<strong></strong></p>

Extensive Review of Security and Privacy Issues in Heterogeneous Networks

This paper studies advanced network security, privacy, and performance issues for Heterogeneous Networks (HetNets), which combine multiple types of cells to enhance wireless communication coverage and capacity. The coexistence of heterogeneous network elements inherently leads to considerable issues in terms of security, privacy, and performance. Previous research has primarily addressed security issues using common cryptographic techniques including data encryption with AES, secure key exchange with RSA, and handoff security with mutual authentication. Data anonymization methods and regulatory compliance have been used to address privacy concerns. Allocating resources and managing interference are some of the tactics that have been used in performance optimization. Although the current solutions offer a solid base, they frequently have issues with computational overhead, scalability, and continuous maintenance needs. Performance optimization solutions might not sufficiently handle dynamic network conditions, and privacy protections might not be sufficient to mitigate sophisticated data harvesting operations. This study evaluates existing HetNets solutions using a thorough evaluation and analytical technique. It assesses how well they handle issues with security, privacy, and performance, points out any shortcomings, and suggests areas for further investigation. Our analysis emphasizes the need for improved security mechanisms, including quantum-resistant cryptography, AI-driven threat detection, and technologies that improve privacy, such as differential privacy and homomorphic encryption. Innovative resource management and optimization strategies catered to HetNets' dynamic nature are needed to address performance issues. The necessity of developing new security, privacy, and performance solutions to guarantee the stability and dependability of HetNets is emphasized by this study. Stakeholders can promote the broad adoption and smooth integration of HetNet technology by tackling these obstacles. To sum up, this study offers a thorough analysis of the HetNets' architectural, security, privacy, and performance issues. It lists existing remedies, analyses their drawbacks, and suggests new lines of inquiry for future development to advance the area and improve HetNets' operational capabilities.

The Impact of Green Human Resource Management Practices on Brand Citizenship Behavior and Employee Turnover Intention: A Mixed Methods Approach

In light of the escalating necessity for sustainability within Lebanese small to medium-sized enterprises, these organizations are considered contributors to ecological damage. As a consequence, many of these enterprises adopted green human resource management practices encouraging employees toward sustainable behaviors. This is in conformity with the principles of the circular economy that aim to shun resource depletion and resonate with the country’s currency devaluation, political instability, and lack of access to resources. Given this background, this study aims to examine the influence of green human resource management practices on organizational pride, brand citizenship behavior, and turnover intention, moderated by individual green values. This study adopted a mixed-methods approach, collecting quantitative data from 202 employees working for small to medium-sized enterprises through a questionnaire, and qualitative insights through semi-structured interviews from eight managers; these were then analyzed using PLS-SEM and thematic analysis. The results showed that green human resource management practices lead to an increase in organizational pride, which positively influences brand citizenship behavior and negatively affects turnover intention. Individual green values positively moderate the aforementioned relationships. Understanding such detailed interrelationships adds insights into the literature of green practices. Moreover, this is the initial empirical investigation that integrates these concepts within the small to medium-sized enterprise context and provides comprehensive insights to stakeholders to enhance sustainability through appropriate human resource management strategies.

Digitalization of talent planning in IT sector: Mediating role of HR policies and practices

In the highly dynamic digital era of the information technology industry, agile talent planning and human resources (HR) management strategies are essential for maintaining a competitive edge. This study aims to determine the impact of HR policies and practices as a mediator between the effectiveness of talent planning and digitalization tools and techniques within the IT sector. The research population comprised IT companies in Delhi (and its national capital region), India. Using the convenience sampling technique, a sample of 106 respondents was selected out of 168 contacted, including human resource professionals and managers. The study employed regression analysis and structural equation modeling. The results reject that digitalization tools and techniques do not significantly increase the effectiveness of talent planning in IT organizations (beta coefficient = 0.455 at p-value < 0.001). Additionally, the paper shows that digitalization tools and technologies significantly affect HR policies and practices (beta coefficient = 0.826 at p-value < 0.001). The findings reject the suggestion that there is no significant positive relationship between HR practices and policies and the effectiveness of talent planning in the IT sector (beta coefficient = 0.425 at p-value < 0.001). Furthermore, the study rejects the perception that HR policies and practices do not mediate the relationship between digitalization tools and techniques and the effectiveness of talent planning (beta coefficient = 0.351 at p-value < 0.001). These insights will contribute to developing effective HR strategies that align with technological advancements and foster organizational growth.

Strategic Model for Mangrove Forest Resource Management in Boalemo District, Gorontalo Province

Mangrove forest destruction in Boalemo Regency has increased significantly over the past decade. The condition of mangrove forests has been degraded due to the pressure of population growth, especially in coastal areas. Damage to mangrove forest resources is certainly very dangerous to the ecosystem of fisheries resources, biodiversity and destroys the stability of coastal forests that support the protection of inland and rural agricultural crops. The purpose of this research is to design a model of sustainable mangrove forest resource management strategy in Boalemo District, Gorontalo Province, so that it can be applied as a policy in improving and optimizing mangrove forest resource management efforts in Gorontalo Province. The method used is Interpretive Structural Modeling (ISM). The results showed that there are thirteen sub-elements of program requirements needed to build the model, of the thirteen elements of program requirements there are no sub-elements that occupy quadrant I, in quadrant II there are two sub-elements and in quadrant III there are six sub-elements, in quadrant IV is occupied by five sub-elements which are key elements to build a mangrove forest resource management strategy model.

Human Resource Management Strategy: Integrating Psychological Perspectives through Qualitative Description and Literature Review

Human Resource Management Strategy: Integrating Psychological Perspectives through Qualitative Description and Literature Review

Island Water Management Cyprus Facts Finding Mission and Gap Identifications

Water management on islands faces unique challenges due to limited size, isolation, climate change impacts, and economic development needs. These factors intensify water scarcity, highlighting the need for sustainable resource development through multidisciplinary approaches. Cyprus, the third-largest Mediterranean island, exemplifies these challenges, with the lowest water availability per capita in the region and severe water scarcity exacerbated by climate change. Addressing these issues requires a comprehensive master plan that integrates technical, environmental, social, and economic factors, focusing on climate change impacts on the water cycle. The Energy, Environment, and Water Research Center (EEWRC) plays a pivotal role in global resource management, emphasizing sustainable development goals and Integrated Water Resources Management Policy. EEWRC’s key initiatives include hydrodiplomacy and WEF Nexus and Integrated Water Resource Management IWRM, monitoring sediment transport pollution, water quality monitoring of basins and aquifers, smart water management of conventional and non-conventional water, and nature-based solutions for water and land management integration. To improve water management in Cyprus, establishing a National Commission for Water Experts is recommended. This commission would provide a detailed roadmap for water management, aligning with Sustainable Development Goals (SDGs) and the Climate Change Initiative coordinated by the Cyprus Institute. Additionally, organizing a conference focused on “Cyprus Island Water Management” would help launch this concept. In conclusion, it is crucial to develop a long-term strategy for optimal water resource management in Cyprus, addressing water issues, promoting conservation, launching climate-resilient initiatives, and fostering collaboration with national and international entities for success.

Nursing leadership in disaster preparedness and response lessons learned and future directions

Nursing leadership is integral to effective disaster preparedness and response, demanding agility, strategic planning, and robust resource management. Disasters, both natural and man-made, present unique challenges that require nursing leaders to be adept in rapid decision-making and efficient coordination. The unpredictability of disasters necessitates comprehensive and regularly updated preparedness plans, ensuring nursing teams are well-versed in their roles through continuous training and simulations. Interprofessional collaboration and strong community partnerships are essential, fostering a unified response and efficient resource distribution. Communication remains a cornerstone of disaster management, with clear, timely information dissemination being crucial for coordinating efforts and maintaining public trust. Resource scarcity during disasters, such as shortages of medications and personal protective equipment (PPE), poses significant challenges. Effective resource management strategies are essential to maintain patient care standards and protect healthcare workers. The psychological toll on healthcare providers is another critical issue, with nursing leaders needing to implement support systems that address mental health and promote resilience. Integrating advanced technologies like telehealth and data analytics can enhance disaster response, providing remote care options and enabling predictive modeling for better resource allocation. Innovative approaches in nursing leadership include the use of telehealth for remote consultations and monitoring, data analytics for predictive modeling, and interprofessional education to improve teamwork and coordination. Strengthening community partnerships enhances overall disaster response capacity, ensuring that community-specific needs are addressed. Mental health support for healthcare providers, both immediate and long-term, is vital for maintaining a resilient workforce. Policy advocacy by nursing leaders is crucial to developing robust disaster preparedness frameworks and securing adequate funding. In summary, nursing leadership is pivotal in disaster preparedness and response, with a focus on strategic planning, interprofessional collaboration, effective communication, resource management, mental health support, and the integration of advanced technologies. Emphasizing these areas will enhance the resilience and responsiveness of healthcare systems, ultimately improving outcomes for patients and healthcare providers during disasters.

PROJECT MANAGEMENT APPROACH IN HEALTHCARE SERVICES

Objective: This study investigates the terms project, project management, and project management cycle, focusing on the project management approach in healthcare services. It aims to emphasize the importance and necessity of project management in healthcare, contributing to the development of a project management culture within the healthcare sector. Theoretical Framework: Projects are generally a set of activities or efforts planned and implemented to achieve a specific goal or objective. Businesses often need to operate within a specific project or plan to reach their goals. The same applies to healthcare services. Today, it is crucial for healthcare institutions to achieve their strategic objectives by utilizing their limited resources most effectively. Therefore, healthcare institutions must continuously strive to manage their resources in alignment with their strategic goals. By adopting an effective resource management strategy, healthcare institutions can enhance the quality of patient care, patient satisfaction, operational efficiency, and cost optimization. Project management consists of specific phases: initiation, planning, execution, monitoring and control, and closure. Each phase is essential for the project's successful progress. Project management is a vital management system in healthcare institutions that reduces uncertainties and ensures the successful completion of projects. Planning and monitoring all phases of projects from start to finish allow for early detection and correction of errors and problems. Method: This study on project management in healthcare services uses document analysis as a qualitative data analysis method. It compiles and evaluates existing knowledge and data on project management in healthcare services. Research Implications: The results and recommendations of this study can increase awareness of project management in healthcare services and help manage practices in this field more effectively.

Strategies for Resource Management in the Department of Education: A Systematic Review of Efficiency and Effectiveness

This systematic review examines the efficiency and effectiveness of the Department of Education's resource management strategies, with an emphasis on budgetary planning, technological integration, and policy implementation at the elementary, secondary, and higher education levels. Using the PICOS paradigm, the study critically evaluates 39 papers published between 2019 and 2024 that were chosen based on precise inclusion criteria outlined in the report. Efficiency is defined as the ideal allocation and utilization of resources to achieve desired results with little waste, as opposed to effectiveness, which assesses the impact of these strategies on educational quality and stakeholder satisfaction. The analysis focuses on significant results on how strategic resource allocation improves institutional sustainability and academic achievement. This assessment intends to recommend to policymakers, school leaders, and teachers to maximize resource management strategies to accomplish educational goals while improving operational efficiency.