Resource Management Challenges Research Articles

Emerging Trends and Challenges in Human Resource Management: A Review

Emerging Trends and Challenges in Human Resource Management: A Review

Diminished water yield coefficient of glacial catchments in Northwest China

Study region19 glacial catchments located in Northwest China. Study focusThe water yield coefficient (denoted as WYc) of glacier catchments in Northwest China has changed over the past six decades, closely linked to shifts in land cover dynamics. However, quantifying the impacts of climate and land cover changes on glacier catchments remains challenging due to the complexity of glacier hydrological processes and the scarcity of long-term glacier runoff data. In this study, the Budyko equation was coupled with a glacier runoff model to enable quantitative analysis of the factors driving changes in water yield (WY). Path analysis was then employed to assess the direct and indirect effects of climate and landscape changes on the WYc. New hydrological insight for the regionThe results indicated that 14 out of 19 catchments experienced a decline in WYc, particularly in those with greater glacier coverage. Glacier retreat and increased vegetation greenness adversely affected WYc by increasing the catchment parameter, with effects of −26.42 % and −25.21 %, respectively. Although overall WY in the catchments has increased—driven primarily by increased precipitation and glacier storage loss, with contribution rates of 100.66 % and 25.05 %, respectively—the diminished WYc is expected to decelerate the rate of WY increase. This trend poses significant challenges for water resource management in arid and water-scarce regions.

Research on the Patterns of Seawater Intrusion in Coastal Aquifers Induced by Sea Level Rise Under the Influence of Multiple Factors

In the context of global warming, rising sea levels are intensifying seawater intrusion in coastal areas. Due to the complex hydrodynamic conditions and increasing groundwater over-extraction in these regions, understanding the patterns of seawater intrusion is crucial for effective prevention and control. This study employed a sandbox model to investigate both vertical and horizontal seawater intrusion into a coastal unconfined aquifer with an impermeable dam under varying conditions of sea level rise, coastal slope, and groundwater pumping rate. Additionally, a two-dimensional SEAWAT model was developed to simulate seawater intrusion under these experimental conditions. The results indicate that sea level rise significantly increases the extent and intensity of seawater intrusion. When sea level rises by 3.5 cm, 4.5 cm, and 5.5 cm, the areas of the saline wedge reached 362 cm2, 852 cm2, and 1240 cm2, respectively, with both horizontal and vertical intrusion ranges expanding considerably. When groundwater extraction is superimposed, vertical seawater intrusion is notably intensified. At an extraction rate of 225 cm3/min, the vertical intrusion areas corresponding to sea level rises of 3.5 cm, 4.5 cm, and 5.5 cm were 495 cm2, 1035 cm2, and 1748 cm2, respectively, showing significant expansion, and this expansion becomes more pronounced as sea levels rise. In contrast, slope variations had a significant impact only on vertical seawater intrusion. As the slope decreased from tanα = 1/5 to tanα = 1/9, the upper saline wedge area expanded from 525 cm2 to 846 cm2, considerably increasing the vertical intrusion range. Finally, the combined effects of groundwater extraction and sea level rise exacerbate seawater intrusion more severely than either factor alone, presenting greater challenges for coastal water resource management.

An agent-based socio-hydrological modeling to identify the feedbacks between agricultural irrigation and ecological water conveyance tradeoffs in Hotan River basin

Study regionHotan River basin in Northwest China Study focusThe conflict between agricultural irrigation and ecological water conveyance is particularly critical in arid inland river basins. Water resource systems involve multiple stakeholders and sectors, complicating the identification of dynamic feedback between agriculture and ecology. This study presents an agent-based socio-hydrological modeling (ABSHM) framework to address these interactions. New hydrological insights for the regionFeedback is quantified using dynamic state variable of oasis decision-making sensitivity in the Hotan River basin. When this sensitivity ranges from 0.03 to 0.06, water managers prioritize agricultural irrigation, increasing its usage from 8 to 47 million m3 at the expense of ecological water. Conversely, when sensitivity is from 0.015 to 0.03, ecological health requires increasing ecological water use from 27 to 66 million m³ by reducing irrigation. The ABSHM framework effectively captures these dynamic feedback processes, supporting basin water resources management and decision-making. The uniqueness of the ABSHM framework lies in its ability to capture the impact of individual decision-making behaviors on the overall water resource system. This offers new perspectives and approaches for addressing current and future water resource management challenges.

Leveraging geographic information systems and data analytics for enhanced public sector decision-making and urban planning

Geographic Information Systems (GIS) and data analytics are revolutionizing public sector governance and urban planning by providing innovative tools for data-driven decision-making. This review explores the integration of GIS and data analytics as a means to address complex challenges in resource management, crisis response, environmental sustainability, and urban development. GIS enables spatial data collection, visualization, and analysis, while advanced data analytics, including predictive models and machine learning, enriches decision-making processes by uncovering actionable insights from diverse datasets. Applications in public governance include optimizing resource allocation, enhancing emergency response strategies, and managing environmental impacts. In urban planning, GIS facilitates land use management, infrastructure development, and the creation of smart cities powered by the Internet of Things (IoT). The review highlights successful case studies, showcasing how cities worldwide have leveraged these technologies to achieve sustainable development and improve the quality of life for their residents. Despite their potential, the implementation of GIS and data analytics faces challenges such as data quality issues, financial and technical constraints, privacy concerns, and resistance to change within bureaucratic systems. This review discusses these barriers and offers insights into overcoming them through advancements in technology, collaborative governance models, and increased stakeholder engagement. This concludes by emphasizing the transformative role of GIS and data analytics in fostering more transparent, efficient, and sustainable urban governance. By embracing these tools, public sector entities can better anticipate and address societal needs, paving the way for more resilient and inclusive communities. Future opportunities include leveraging artificial intelligence, expanding GIS use cases, and fostering international collaboration to further enhance public sector and urban planning outcomes.

Assessment of Human Resource Management Functions at RSUD Datu Sanggul

The public sector, particularly hospitals, plays a crucial role in the provision of quality health services. However, many hospitals, including RSUD Datu Sanggul, face challenges in human resource management (HRM) that result in service performance. This study aims to analyze the functions of human resource management (HRM) in the Regional General Hospital (RSUD) Datu Sanggul and its impact on service performance, especially in the Surgical Poly. The method used is a qualitative approach with an exploratory design. Data were collected through observation, questionnaires, and documentation studies, involving 14 hospital leaders as respondents. The results showed that the recruitment and selection process of medical personnel at RSUD Datu Sanggul was still less than optimal, with several inequities and competency mismatches. The implementation of training and development programs for medical personnel recorded activities, but the evaluation of the results was minimal, indicating a lack of impact on performance improvement. In addition, performance appraisal systems and compensation policies also need to be improved to attract and retain medical personnel. This study provides recommendations to improve transparency and standards in the recruitment process, training evaluation, and compensation policy adjustments in order to improve the quality of health services at RSUD Datu Sanggul

Pengembangan Aplikasi Deteksi Sumber Air Tanah Menggunakan Metode Sensor Kapasitif

The decline in the quality and quantity of groundwater resources is one of the biggest challenges in natural resource management in many areas. Mapping the potential of groundwater requires technology that can identify and detect the presence of water sources with high accuracy. The purpose of this study is to develop a groundwater detection application using a capacitance-based remote sensing method, which leverages the principle of capacitance changes on the soil surface due to the presence of groundwater. The capacitance sensing method was chosen because it can detect differences in capacitance between water-filled soil and dry soil. In this study, we integrate a capacitive sensor connected to electronic devices into a mobile application to visualize and analyze the data in real-time. This application aims to enable users, such as farmers and researchers, to easily monitor and detect the presence of groundwater sources at various locations with high efficiency.

Skill Requirements for Planning for Adopting Sustainable Development Goals (SDGs) at Panchayat Level in Coimbatore District

Objectives: The primary objective of this study is to integrate Sustainable Development Goals (SDGs) into Coimbatore District Panchayat planning to promote long-term environmental, social, and economic well-being. The research aims to address the challenges faced by the Panchayats, such as water conservation, land management, and community connection, by proposing an innovative approach to sustainable development. Methods: The study introduces the Innovative Sustainable Community Hamlet Empowered Watershed Approach (ISCH-WA) as a solution to address the challenges of rural resource management. This method emphasizes sustainable hamlets with a focus on water conservation, land management, and community resilience. ISCH-WA integrates modern and traditional practices, encourages community-led initiatives, and emphasizes participatory governance. Its impacts are simulated to evaluate its effectiveness in meeting SDGs and empowering rural communities. Results: The ISCH-WA method demonstrated significant potential to improve water resource management, sustainable farming, and land conservation. The approach proved effective in fostering self-sufficient and sustainable communities, highlighting its adaptability and scalability to other regions with similar challenges. Simulation results showed that ISCH-WA could seamlessly integrate SDGs into Panchayat planning, strengthening rural development efforts. Conclusion: The ISCH-WA method offers a transformative pathway for integrating SDGs into Coimbatore District Panchayat planning. By promoting education, participatory governance, and sustainable practices, this approach addresses key challenges in water conservation, land management, and community connection. The study concludes that ISCH-WA has the potential for widespread application, serving as a model for empowering rural communities and ensuring sustainable development.

Human resource management of Physical Education teachers for students with special needs in inclusive schools

This study used the systematic literature review to explore articles related to human resource management and physical education teachers who work with students with special needs in inclusive schools. Data were obtained from articles searched through Google Scholar. The keywords used were ("Human Resource Management" OR "HR Management") AND ("Physical Education Teacher" OR "PE Teacher") AND ("Special Needs Students" OR "Students with Disabilities" OR "SEN Students") AND ("Inclusive Schools" OR "Inclusive Education"). The search focused on articles published in Scopus-indexed journals between 2019 and 2024. During the search, inclusion and exclusion criteria were applied. The initial search generated 17,400 articles. Furthermore, the articles were screened again in several stages, and 16 articles that fit the theme and met the inclusion requirements were yielded. During the article selection, this study followed the PRISMA guidelines. The results of this study showed that inclusive education presents significant challenges in human resource management, especially regarding the readiness and competence of physical education teachers. For example, the teachers did not receive sufficient training in inclusive methodologies, leading them to feel underprepared for the diverse needs of students. Thus, comprehensive training that covers theory and hands-on practice was identified as a solution. Teachers with more in-depth training and experience showed more positive attitudes and abilities. In addition, adjustments to teaching methods and effective use of technology, with school support and collaboration between teachers, staff, and parents, were key to success. Furthermore, policy changes and adequate resource allocation were also crucial. Periodic evaluation of inclusive practices was necessary to ensure continuous development. Thus, increased training, supportive policies, and ongoing support from the government and schools were necessary to achieve effective, inclusive physical education.

Comparative assessment of empirical random forest family's model in simulating future streamflow in different basin of Sarawak, Malaysia

In Sarawak, a region highly vulnerable to climate change, the translation of climate-induced changes in rainfall to river flow is non-linear, presenting a challenge for water resource managers. This research investigates the impact of climate change on hydrological processes in Sarawak, Malaysia, with a specific focus on assessing future spatiotemporal variations in streamflow. The families of Random Forest (RF) empirical models based on data mining techniques were compared and utilized to develop a continuous hydrologic model. Then, by incorporating rainfall and evapotranspiration future projection prepared based on RF past performance statistical downscaling, the top performing RF empirical hydrological model was used for future streamflow projection. The results showed that despite an expected increase in rainfall, the RFR (Random Forest by Randomization) empirical hydrological model demonstrated a potential decrease in river runoff due to heightened evapotranspiration demands associated with rising temperatures. The examination of climate-induced alterations in both rainfall and evapotranspiration patterns revealed a consistent decrease in river discharges during the early to middle period across Sarawak, followed by a shift towards an increasing trend by the end of the 21st century. The central region along the Rajang basin exhibited a prevailing decrease in river discharge, with contrasting patterns in the last part of the century. The northern region displayed diverse trends, with some basins experiencing decreases in river runoff despite augmented rainfall, emphasizing the heterogeneity in response. By employing empirical models, and projecting future scenarios, the study contributes to a better understanding of climate change impacts on hydrology in the region, essential for effective water resource management and environmental conservation.

Trend Analysis of Rainfall and Temperature in the Kharun Watershed: Implications for Climate and Water Management

Rainfall and temperature are critical meteorological variables for understanding climate change and its potential impacts on water resources. Rainfall and Temperature are the most important for climatic parameters. The result of this study will help to take necessary steps and measures for agricultural production. This study focuses on analyzing rainfall and temperature trends in the Kharun watershed, Chhattisgarh, using the Mann-Kendall (MK) test and Sen's slope (SS) estimator. The analysis covers seasonal (summer, winter, and monsoon) and annual trends across key stations. Results for precipitation trends reveal mixed outcomes. At Dhamtari, a significant increasing trend in summer rainfall (z = 3.21, p < 0.01, Sen's slope = 0.77) was observed, though the annual trend remains insignificant. In Patharidih, summer rainfall also shows a significant upward trend (z = 2.04, p = 0.04), while Raipur exhibits a significant decline in both annual and summer precipitation (z = -1.04, p = 0.03, Sen's slope = -0.27). Temperature trends indicate no significant changes in maximum temperature across most stations, though slight positive trends are observed in summer and monsoon seasons. However, minimum temperature trends show a significant decline during winter at Dhamtari and Raipur (z = -2.12, Sen's slope = -0.04). These findings highlight localized seasonal variability in rainfall and temperature, underlining potential challenges for water resource management and climate adaptation in the region.

The Spatiotemporal Dynamics of Temperature Variability Across Mts. Qinling: A Comparative Study from 1971 to 2022

Analyzing the spatiotemporal patterns of atmospheric temperature in sensitive areas is critically important for understanding the broader implications of global climate change, which remains a prominent topic in geosciences. It also plays a crucial role in advancing sustainable development. This study utilized daily minimum, maximum, and mean temperature data from twelve meteorological stations across the South and North Mts. Qinling (Qinling Mountains). Employing trend analysis, the Mann–Kendall mutation test, and Morlet wavelet analysis, we explored the predominant temperature trends and characteristics from 1971 to 2022. Our findings revealed consistent inter-annual warming trends in both regions, with more rapid temperature increases in the North compared to the South. Notably, significant shifts occurred in 2003 for both mean and minimum temperatures in the North, while the maximum and minimum temperature values were recorded in the 2010s and 1980s, respectively. Both regions exhibited a primary temperature fluctuation cycle of 28 years. Seasonally, the strongest warming effects appeared in spring, with the weakest in autumn, and moderate effects in winter and summer, indicating that spring contributes most significantly to regional warming. Monthly analysis showed positive temperature trends across all months, with higher rates in the North. The weakening temperature boundary effect of the Mts. Qinling suggested a weakening North–South division, particularly highlighted by the northward shift of the 1 °C isotherm curve for the coldest month, moving away from the previously observed 0 °C isotherm. This northward shift highlights the differential warming rates between the northern and southern regions. Overall, the analysis confirms a robust warming trend, with notable fluctuations in January’s temperatures since 1998, suggesting the Mts. Qinling’s emerging role as a climatic divider in the Chinese Mainland. This introduces new challenges for regional ecosystems, agricultural production, and water resource management, highlighting the pressing need to advance regional sustainable development in the face of climate change.

Strengthening Community Resilience in the Face of Environmental and Economic Challenges in Southeast Mexico

Objective: The problems in the sustainable management of natural resources in their fishing practices in the community of Aztlán Quinta Seccion Palomillal in Tabasco, Mexico, are analyzed to develop community solutions and improve sustainability and socioeconomic results. Theoretical Framework: It is based on the theory of sustainability (World Commission on Environment and Development, 1987, p. 43), the natural resources management model (Natural Resources Commission, 2012, p. 3) and the theory of participatory research (Reason & Bradbury, 2008, p. These frameworks are the context in which fishing practices are developed in the community, serving as a relevant case study for southeastern Mexico, facilitating the analysis of the problems and proposed solutions. Method: A qualitative case study design focused on community-based participatory research was applied, involving key community actors, including fishermen and leaders of the fishing cooperative. Data collection was through semi-structured interviews, focus groups and participant observation. The interviews were designed to learn about challenges in resource management, while focus groups facilitated discussions about possible solutions. Participant observations were carried out during community meetings and the sociocultural and environmental context. Results and Discussion: The problems of sediment accumulation, the presence of invasive species, the lack of adequate infrastructure and low educational levels were identified. There is an urgency to implement strategies that combine traditional knowledge with modern practices to improve the sustainability of fishing activities. The importance of community participation is highlighted. Research Implications: It has significant practical and theoretical implications for sustainable resource management in rural fishing communities and can be applied in other similar rural contexts and contributes to the theoretical development of community-based participatory research. Originality/Value: An innovative community-based participatory research approach is applied for sustainable natural resource management in a rural fishing community, replicable for sustainable resource management in vulnerable contexts.

The Effect of Employee Engagement on Employee Performance by Moderation of Generational Characteristics of Employees in Private Agencies

Employee engagement is an important issue that is the main concern of the organization's leaders in managing its employees. The changing characteristics of the employee generation are becoming a specific challenge for human resource management. Employees who are engaged with their work will exert all their abilities, efforts, and thoughts and significantly contribute, where the engagement and personal characteristics possessed by employees in carrying out their work can directly impact their performance. This study aimed to analyze employee engagement's effect on employee performance by moderating the generational characteristics of private agency employees in the City of Padang, West Sumatra. Data was collected through questionnaires distributed to 100 employee respondents working in private institutions in the city of Padang, with purposive sampling technique. Then, the data is processed using the Partial Least Square-Structural Equation Modeling (PLS-SEM) method. The results of this study indicate that employee engagement generational characteristics (Y and Z generation) have a positive and significant effect on employee performance. Generational characteristics (Y and Z generation) also positively and significantly impact employee engagement. Generational characteristics do not moderate the relationship between employee involvement and employee performance, but directly employee engagement and employee performance can be improved with generational characteristic variables. Organizational leaders should pay attention to employee engagement and the characteristics of the generation of employees and can make it a potential to improve employee performance.

Integration of Generative-Adversarial-Network-Based Data Compaction and Spatial Attention Transductive Long Short-Term Memory for Improved Rainfall–Runoff Modeling

This work presents a novel approach to rainfall–runoff modeling. We incorporate GAN-based data compaction into a spatial-attention-enhanced transductive long short-term memory (TLSTM) network. The GAN component reduces data dimensions while retaining essential features. This compaction enables the TLSTM to capture complex temporal dependencies in rainfall–runoff patterns more effectively. When tested on the CAMELS dataset, the model significantly outperforms benchmark LSTM-based models. For 8-day runoff forecasts, our model achieves an NSE of 0.536, compared to 0.326 from the closest competitor. The integration of GAN-based feature extraction with spatial attention mechanisms improves predictive accuracy, particularly for peak-flow events. This method offers a powerful solution for addressing current challenges in water resource management and disaster planning under extreme climate conditions.

Ethical Concerns Upon Artificial Intelligence Empowered Human Resource Management: A Qualitative Study among Middle-level Managers from Beijing Technology Companies

The evolution of artificial intelligence (AI) in organizational management has significantly enhanced operational efficiency. However, it has introduced ethical challenges in human resource management. Between January to March 2024, this study conducted 21 semi-structured interviews with middle-level managers from high-tech companies in Beijing. Through word frequency analysis, the study found that key topics among the managers were “company,” “data,” “system,” and “problem,” with “AI” frequently recurring in the discussions. Sentiment analysis revealed generally favorable attitudes toward AI in human resource management (AI-HRM), along with nuanced emotional expressions such as inquiry, introspection, recommendation, challenge, adaptation, resistance, and indifference. The sentiment distribution of keywords aligned with topic trends. Thematic analysis identified key ethical concerns in AI-HRM, including issues related to data collection and utilization, human versus machine decision-making, quantitative versus qualitative assessment methodologies, the balance between fairness and efficiency, the need for trustworthy, explainable, and transparent AI, and the oversight of AI-HRM. This study contributes to the ethical investigation of AI-HRM from the perspective of middle-level managers, highlighting themes that are critical for understanding the theory, application, and future development of AI-HRM.

Evaluating the impact of coal seam roof groundwater using variable weights theory: A special emphasis on skylight-type water inrush pattern

Study regionThis study is based in the rapidly developing large-scale coal base located in Northwest China. Study focusThis study focuses on addressing a critical yet overlooked aspect of large-scale coal resource development in arid regions: the impact on coal seam roof groundwater. Recognizing the paramount importance of safeguarding groundwater resources for sustainable mining practices, the research introduces a novel concept of “skylight-type secondary water inrush pattern” and develops a comprehensive evaluation methodology to quantify its extent. New hydrological insights for the regionThe study presents groundbreaking hydrological insights into the behavior of groundwater systems impacted by coal mining in arid regions. It reveals that secondary water inrush pattern, a phenomenon driven by hydrodynamics, extends beyond the immediate mechanical footprint of mining, posing significant challenges for groundwater resource management. This research underscores the importance of considering not just the structural alterations to aquifers but also the broader hydrological consequences of mining activities. By integrating multivariate geological information with a variable weights theory, the developed evaluation method provides a nuanced understanding of how mining alters groundwater abundance and flow patterns. These new insights challenge traditional approaches and offer a scientific basis for designing effective strategies to mitigate water damage, manage mine groundwater, and promote sustainable mining practices in arid environments.

Advancing Circular Economy through Knowledge Transfer: A Decade of Research Insights

Economic growth and sustainable development are central themes of the Sustainable Development Goals (SDGs) set by the United Nations and adopted by the European Commission for EU member countries. Transitioning to a circular economy (CE) aligns with the SDGs, particularly through the principles of reduce, reuse, and recycle (3Rs). This comparative analysis synthesises the contributions of multiple scholars, providing a cohesive understanding of current advancements and challenges in CE and sustainable resource management. Key themes include stakeholder collaboration, technological innovations, waste management, and policy frameworks. Effective waste management and valorisation of materials are highlighted, with significant advancements in electronic waste treatment, automotive shredder residue processing, and construction waste recycling. Moreover, the study emphasises the importance of cooperation through partnerships, as outlined in SDG17, and knowledge transfer in building trust within developed countries. The literature review reveals interactions between knowledge transfer components, such as research and development, foreign direct investment, and CE indicators, including circular material use rate and recycling rate. A bibliometric technique and VOSviewer were employed for visually representative and comprehensible literature analysis. The findings suggest that the integrated efforts of various stakeholders, technological advancements, and robust policy frameworks are essential for achieving a sustainable and circular future. By analysing these components, the research aims to evaluate the potential of EU member states to achieve sustainable development, providing valuable insights into the theoretical approaches and indicators used in CE and knowledge transfer studies.

Reassessing water resource challenges in a changing climate in the Kagera transboundary river basin, Tanzania

The dynamic shifts in climatic patterns, particularly alterations in precipitation, have significantly impacted water resource availability and accessibility. These climate-induced changes affect hydrological processes, encompassing runoff, groundwater replenishment, water demand, and biophysical patterns within river basins. This study seeks to unravel the multifaceted implications encountered and challenges in water resource management within the river basin. It employed a survey-based approach for data collection, including Key informant interviews (KI), consultation methods and documentary reviews. The study utilized Statistical Package for the Social Sciences (SPSS) and Microsoft Excel for quantitative analysis and thematic synthesis for qualitative insights, including local community perspectives. The findings reveal substantial fluctuations in precipitation, protracted droughts, severe flooding, and other climatic extremes. The observed annual mean rainfall of 832 mm, with a standard deviation of 248, a standard error of 361, and a skewness of −945, accentuates the pronounced variability in mean precipitation, exhibiting a declining trend indicative of climatic shifts (R2 = 0.1797 and P = 0.002). The challenges are limited access to hydrological and meteorological data, undermining prediction accuracy, infrastructure planning, and response strategies for water resource allocation and management. The absence of unified approaches, influenced by the politics of riparian states, feeble coordination, conflicting sectoral policies, and ambiguous priorities, hinders effective transboundary water resource management. The study addresses these complexities and advocates for institutionalizing robust water management strategies that capitalize on existing resources and foster innovative capacities among critical stakeholders. Central to these efforts is harmonizing and enforcing policies, regulations, and laws governing water use, coupled with a concerted focus on inclusive governance to ensure the sustainability of water resource management. Such effort entails synchronized strategies, programs, plans, and livelihood practices underpinned by active stakeholder involvement in pivotal facets of water resources management.

Serverless Computing in the Edge-Cloud Continuum : Challenges, Opportunities, and a Novel Framework

This article explores the integration of serverless computing across the edge-cloud continuum, addressing the growing demand for low-latency, data-intensive applications in the era of the Internet of Things (IoT). We present EdgeServe, a novel framework that extends the serverless paradigm to encompass edge devices and cloud resources, overcoming the limitations of traditional cloud-centric approaches. Through comprehensive simulations and real-world case studies, including a smart city traffic management system, an industrial IoT predictive maintenance application, and a mobile augmented reality gaming platform, we evaluate the performance, scalability, and cost-effectiveness of our proposed framework. Our results demonstrate significant improvements in application response times, with latency reductions of up to 82% in time-critical functions, and an average cost reduction of 43% compared to cloud-only serverless deployments. We also observe a 28% decrease in overall energy consumption in certain scenarios. The article addresses key challenges in resource management, data consistency, adaptive function placement, and security in distributed environments. Our findings have important implications for application architects and cloud service providers, paving the way for a new generation of edge-native serverless platforms. This research contributes to the growing body of knowledge on distributed systems and offers insights into the future evolution of serverless computing in heterogeneous computing environments.