Resource Management Method Research Articles

THE EFFECT OF STRATEGIC HUMAN RESOURCE MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE WITH THE MEDIATING ROLE OF INNOVATION (CASE STUDY: MIANDOAB CITY EDUCATION DEPARTMENT)

This study aimed to explore the effect of strategic human resource management practices on organizational performance with the mediating role of organizational innovation in the Miandoab City education department. This research is practical, in terms of purpose, and among descriptive studies in terms of data collection method. The statistical population of the research was all the experts of the Miandoab city education department, who were selected by simple random sampling method number of 218 people. To collect data, three questionnaires on strategic human resource management by Chen and Hong (2009), organizational performance by Ahmadi (2012), and organizational innovation by Shoham et al., (2012) were used. The validity of the questions was confirmed using confirmatory factor analysis, and the results showed that strategic human resource management has a significant effect on organizational performance with a factor of 44%, and on organizational innovation with a factor of 76%. Organizational innovation significantly affects organizational performance with a factor of 59%. The results also confirmed the mediating role of organizational innovation in the research community. The study emphasizes the necessity of paying more attention to the strategic methods of human resource management and strengthening innovation to cope with scientific and technological advances.

Exploring the Impact of Resource Management Strategies on Simulated Edge Cloud Performance: An Experimental Study

Edge computing has emerged as a critical technology for meeting the needs of latency-sensitive applications and reducing network congestion. This goal is achieved mainly by distributing computational resources closer to end users and away from traditional data centers. Optimizing the utilization of limited edge cloud resources and improving the performance of edge computing systems requires efficient resource-management techniques. In this paper, we primarily discuss the use of simulation tools—EdgeSimPy in particular—to assess edge cloud resource management methods. We give a summary of the main difficulties in managing a limited pool of resources in edge cloud computing, and we go over how simulation programs like EdgeSimPy work and evaluate resource management algorithms. The scenarios we consider for this evaluation involve edge computing while taking into account variables like user location, resource availability, and network structure. We evaluate four resource management algorithms in a fixed, simulated edge computing environment to determine their performance regarding their CPU usage, memory usage, disk usage, power consumption, and latency performance metrics to determine which method performs better in a fixed scenario. This allows us to determine the optimal algorithm for tasks that prioritize minimal resource use, low latency, or a combination of the two. Furthermore, we outline areas of unfilled research needs and potential paths forward for improving the reliability and realism of edge cloud simulation tools.

Using AI for Dynamic Resource Allocation and Performance Optimization in Software Systems

This research work aims at evaluating the possibilities of using artificial intelligence in dynamic resource management and optimization of software system performance. In today’s complex world of application usage, normal methods of resource management are unable to cater to these dynamic needs and fulfill its usage potential. In this work, an assessment of three mainstream AI techniques – reinforcement learning, neural network, and genetic algorithm – is performed based on performance indicators such as resource utilization and consumption, average response time, throughput, costs, prediction capability, stability, and time taken to converge. The results show that the neural networks have the best resource acquisition performance as well as response rates, while the reinforcement learning has the best cost management and flexibility rates. As it has been pointed out, genetic algorithms are quite useful in finding optimization solutions, however real-time responsiveness is lack. Thus, the results provide significant understating of how to choose the proper AI technique depending on the specific application needs which in turn will be useful for organizations willing to improve their resource management using AI-based solutions.

Design of an Iterative Method for Collaborative Resource Management using MAPPO and Federated Learning in 5G Networks

Design of an Iterative Method for Collaborative Resource Management using MAPPO and Federated Learning in 5G Networks

Assessment of ecotourism potentiality based on GIS-based fuzzy logarithm methodology of additive weights (F-LMAW) method for sustainable natural resource management

Assessment of ecotourism potentiality based on GIS-based fuzzy logarithm methodology of additive weights (F-LMAW) method for sustainable natural resource management

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.

Positive Effects of Green HR Practices on Corporate Social Responsibility: Empirical Evidence from Tunisian Business

When appropriately designed and implemented, the methods of Green Human Resource Management (GHRM) stand to be significant avenues towards Reaching Sustainable Development Goals (SDGs). This study delves into examining the GHRM practices’ effectiveness over the sustainable performance of Corporate Social Responsibility (CSR). In an evolving economic landscape marked by trends such as globalization, escalating demands from investors and consumers and heightened product competition, governmental entities continuously strive to advance their performance by minimizing costs, renewing products and procedures, and enhancing quality to remain competitive. GHRM represents an initiative that contributes to fostering an eco-friendly workforce capable of understanding and implementing green culture within businesses and institutions. Hence, it is essential to underscore that human resources as well as their systems serve as the bedrock of any enterprise. It is a recognized fact that the role of human resources inside an organization is pivotal to plan and to execute these ecological policies in order to foster a green ecology. For our research, a sample size of 100 Enterprises (SMEs) in Tunisia has been chosen. We will conduct factorial analyses and Cronbach's alpha tests using SPSS 20 software to facilitate the aggregation and refinement of items related to the measurement scales of the questionnaire. Subsequently, all research hypotheses were upheld with results indicating that the practical implementation of GHRM such as training (GT), recruitment (GR) and remuneration (GRe) exerts a positive influence on the sustainable performance (SP) of CSR.

The impact of social and economic aspects of human resource management on the innovative capabilities of the organization

Aim. The aim was to investigate the effects of social and economic aspects of human resource management to identify the necessary components, methods and their combination that form innovative capabilities in the organization.Objectives. To identify which methods of the economic or social aspect of human resource management have a greater impact on the innovative capabilities of the organization, as well as to determine the degree of development of these aspects in the organization to form the innovative capabilities of the organization.Methods. The study was conducted on the basis of a sociological survey based on 980 observations, the confirmation of hypotheses was based on the random effects model "within-intercept" to investigate not only fixed or internal effects, in which variables change over time, but also intermediate effects, in which variables do not change over time.Results. The following results were obtained in the study. First, organizational innovation capability is more strongly influenced by social aspects compared to economic aspects of human resource management. Second, there is no maximizing effect of the methods of the two aspects if they are applied equally. Third, the effects of social aspects are stronger as economic aspects of human resource management are introduced.Conclusions. The effects of the economic aspect of human resource management do not have an independent effect on the innovation capability of an organization. Therefore, increasing the level and complexity of economic methods of human resource management may be redundant or not necessary, for the formation of innovative capabilities of the organization. But social aspects of human resources management are not self-sufficient, rather economic aspects should be applied as a supplement to the social aspect of management. The degree of development of economic and social aspects in the organization is important, they should be coordinated and at a high level of development, only then there is a stimulating synergetic effect on the development of innovative capabilities of the organization. The conducted research contributes to the understanding of what aspects should be the basis of human resource management for the formation and increase of innovative capabilities of the organization.

A hybrid method for the intelligent effectiveness management of production operators

AbstractThe paper presents a hybrid method for the effective management of human resources when executing production processes. The method was proposed for managing production operators in systems of relatively high complexity—with the possibility of multiple alternative ways of designating operators to production stations. The method combines a novel approach of assessing the effectiveness of production operators, the use of an intelligent algorithm and the risk assessment method. The concept of effectiveness was used in the sense of a praxeological approach. Availability, performance and quality were defined as its components, and were evaluated through the prism of losses occurring in production processes. The aim of the study is to develop a hybrid method in order to delegate production operators to tasks, not only on the basis of a competence metric, but also on the basis of an individual effectiveness indicator and the risk assessment of production process stages. For this purpose, a novel method of assessing the effectiveness of the use of available resources when implementing production processes (based on a set of quantitative indicators and taking into account the categorization of production losses) was juxtaposed using the Tabu Search algorithm and the FMEA method. The method enables a near-optimal solution to be generated—one in which operators are assigned to production tasks in the most effective way possible, which in turn minimizes both the risk of production delays and quality defects due to operator fault.

FACE RECOGNITION BASED OFFICE RESOURCE CONTROLLING

In contemporary office environments, effective resource management and access control are essential for maintaining security and optimizing productivity. Traditional methods of resource management and access control, such as manual logging and key- based systems, are often cumbersome, prone to errors, and lack real-time monitoring capabilities. In this paper, we propose a Face Recognition-Based Office Resource Controlling (FROC) system that leverages the capabilities of facial recognition technology to automate resource management and access control processes. The FROC system utilizes advanced deep learning algorithms to accurately identify individuals based on facial biometrics, granting or restricting access to office resources accordingly. By integrating facial recognition technology with centralized resource management software, the FROC system enables seamless and efficient control over office facilities, equipment, and confidential information. Additionally, the system offers real-time monitoring and logging of resource usage, enhancing security and accountability within the office environment. Through a combination of hardware components, including surveillance cameras and access control devices, and software modules for facial recognition and resource tracking, the FROC system provides a comprehensive solution for modern office resource management. We evaluate the performance and effectiveness of the FROC system through extensive testing in simulated office environments, demonstrating its potential to streamline operations, improve security, and optimize resource utilizationin office settings. Keywords: Convolutional Neural Networks, image recognition, Tensor Flow, Deep Learning, Teachable Machine,

HRD Conducts Research Using Public Sector Banks and Private Sector Banks

The banking sector, which is reliant on the health of the public, was discussed in this article. Only people use its services, and they are also the only ones who directly influence productivity. Up until 1969, banking was still in some ways a traditional enterprise. when the Indian government took over major banks. Banks became a powerful force for social change after being nationalized and ceased to be the sole source of finance for industry. The assertion that the banking industry is increasing astronomically is supported by additional proof in the form of statistics. The Indian banking industry needs to be governed by banking professionals if it is to profit from the sector on a global scale. The goal of the study is to look at four important factors that have a big impact on how the banking industry develops in private sector banks: selection and recruitment policies, training, performance appraisal, and compensation. For this descriptive and exploratory analysis, the researcher used a standard random sampling technique. In the study, employee impressions of the HRD environment in the two largest banks are assessed. Additionally, it looks to examine if bank employees working for public and private sector banks have different perspectives on each facet of the HRD climate. The HRD climate is divided into three categories: General Climate, OCTAPACE, and HRD Mechanisms. 200 employees submitted the primary data using a standardized questionnaire with 40 items. KEY WORDS Performance review, bank employees, private banks, and methods of human resource management.

Вплив адміністративно-територіальної реформи на покращення управління персоналом у публічному управлінні

Administrative-territorial reform is a key factor in modern public administration as it directly impacts the organizational structure and functioning of state agencies at various levels of government. This article examines the impact of the administrative-territorial reform on human resource management in the public administration sector. First of all, the reform may lead to changes in the structure and competencies of state agencies, which requires revision of the processes of hiring, firing, and managing personnel. New administrative units may be created or existing ones may be reorganized, causing the need to identify and consider personnel changes. Further adaptation of personnel to new working conditions and requirements may need training, retraining, and development. In this context, it is important to ensure proper communication and involvement of personnel in the change process. The reform may also impact the systems of motivation and encouragement of personnel in the public administration sector. New requirements for efficiency and performance may be necessary to determine the system of labor remuneration and other incentives. In general, administrative-territorial reform is not only a challenge but can also be an opportunity to improve human resource management in the public administration sector if it is implemented with due attention to the needs and interests of personnel, as well as taking into account modern methods of human resource management. The article aims to study the impact of the administrative-territorial reform on the improvement of personnel management in public administration. The author shows that the main goal of the state personnel policy lies in forecasting and programming of personnel provision and determination of the strategic vision of formation, professional development, and rational use of personnel and all labor resources of Ukraine. The practical implementation of the personnel policy of the state and the organization is carried out through the personnel management function. The article emphasizes the concept of “human resource management” as a targeted activity of the organization’s management, executives, and specialists of the HR management system, which includes the development of the concept and strategy of personnel policy and principles and methods of human resource management of the organization. Keywords: public policy, management, personnel policy, personnel, human resource management system.

Empowering Sustainable Industrial and Service Systems through AI-Enhanced Cloud Resource Optimization

This study focuses on examining the shift of an application system from a traditional monolithic architecture to a cloud-native microservice architecture (MSA), with a specific emphasis on the impact of this transition on resource efficiency and cost reduction. In order to evaluate whether artificial intelligence (AI) and application performance management (APM) tools can surpass traditional resource management methods in enhancing cost efficiency and operational performance, these advanced technologies are integrated. The research employs the refactor/rearchitect methodology to transition the system to a cloud-native framework, aiming to validate the enhanced capabilities of AI tools in optimizing cloud resources. The main objective of the study is to demonstrate how AI-driven strategies can facilitate more sustainable and economically efficient cloud computing environments, particularly in terms of managing and scaling resources. Moreover, the study aligns with model-based approaches that are prevalent in sustainable systems engineering by structuring cloud transformation through simulation-supported frameworks. It focuses on the synergy between endogenous AI integration within cloud management processes and the overarching goals of Industry 5.0, which emphasize sustainability and efficiency that not only benefit technological advancements but also enhance stakeholder engagement in a human-centric operational environment. This integration exemplifies how AI and cloud technology can contribute to more resilient and adaptive industrial and service systems, furthering the objectives of AI and sustainability initiatives.

Integrating Multi-source Remote Sensing Technology to Improve Water Resource Management Methods at Poyang Lake

Integrating Multi-source Remote Sensing Technology to Improve Water Resource Management Methods at Poyang Lake

Resource allocation strategy of space cloud network based on resource clustering

SummarySpace information network (SIN) is difficult to fully utilize the limited on‐board resource due to its dynamic and heterogeneous nature, while the traditional resource management methods cannot adapt to the increasingly diverse task requirements. Space cloud network architecture is an effective technology to reduce the pressure on satellite resources. To effectively manage the space cloud network resources, we design a resources allocation strategy based on resource clustering. Firstly, we propose the space cloud network architecture. Then, we propose a genetic algorithm to cluster the space cloud resources. Finally, we propose a dynamic resource allocation method based on reinforcement learning for the dynamic characteristics of space cloud resources. The method improves the reinforcement learning algorithm through dynamic objective optimization to complete the optimization of multiple objectives in the process of space cloud resources allocation. The simulation results show that the algorithm proposed in this paper reduces the task execution delay by an average of 10.5% compared with the original DQN algorithm and increases the execution success rate by 2.17%.

A Comparison of the Frequency and Intensity of Standardized Precipitation Index (SPI) and the Rainfall Anomaly Index (RAI) during the Meteorological Drought across Harohar-Punpun Basin (India)

The term "drought" applies to a prolonged period when there is a water shortage because of insufficient precipitation, an excessive rate of evaporation, and excessive use of water from reservoirs and other storage, including ground water. It is a slow-onset phenomenon that can have significant social, economic, and environmental impacts. Both the frequency and severity of droughts are increasing globally due to manmade and natural factors. This study looked at how well SPIs (3, 6, 12-month time scales) and RAI (Rainfall Anomaly Index) performed at identifying drought occurrences over a period of 70 years (1951 to 2021) in India's Agro-Ecological Zones. The RAI and SPI values were computed using rainfall data from 9 meteorological stations located throughout the Harohar- Punpun Basin. According to the results, the RAI is more capable than SPIs in detecting historical records of actual occurrences. Additionally, RAI is more effective than SPIs for determining both short- and long-term droughts. Since RAI can better capture the true nature of the drought situation in the Harohar-Punpun Basin, it appears to be more responsive to drought circumstances. The primary causes of drought, according to the study, include minor variations in precipitation, willful ground water removal, changing cropping patterns, and substantial changes in land use. Regional planners and administrators will surely find use for this scientific study and integrated watershed management methods for sustainable water resource management, particularly for this region.

Discarded CHO cells as a valuable source of bioactive peptides for sustainable biotechnological applications

Repurposing discarded cells stands as a groundbreaking paradigm shift in sustainable biotechnology, with profound implications across diverse industrial sectors. Our study proposes a transformative concept by harnessing histone proteins from discarded CHO cells to produce bioactive peptides. We systematically isolated and hydrolyzed histones using Trypsin and Neutrase enzymes, optimizing reaction conditions. Ultrafiltration yielded distinct peptide fractions (<3 kDa and 3–10 kDa), which we analyzed for DPP-IV inhibition, antioxidant potential, and other activities. Furthermore, LC-Q-TOF-MS analysis and in silico tools unveiled the structural composition of bioactive peptides within these fractions. Three peptide sequences with high bioactivity potential were identified: KLPFQR, VNRFLR, and LSSCAPVFL. Our findings demonstrated exceptional DPP-IV inhibition, potent antioxidant effects, and effective anti-lipid peroxidation activities, surpassing reference compounds. Hemolytic activity assessment indicated promising biocompatibility, enhancing therapeutic application prospects. Pioneering the strategic repurposing of discarded cells, this research addresses cost-efficiency in cell-based studies and promotes sustainable use of biological resources across sectors. This novel approach offers an efficient, eco-friendly method for bioactive molecule procurement and resource management, revolutionizing cell culture studies and biotechnological applications.

دور أدوات الذكاء الصناعي في تعزيز أساليب إدارة الموارد البشرية: دراسة تطبيقية لعينة من الجامعات الأهلية - جامعة الإمام الصادق وجامعة القلم

We specialize in searching for artificial intelligence tools combined in their three dimensions (Workday, ADP Workforce, WFM) in the field of administrative cooperation for human resources management (distinctive electronic communication method, talent management method, diverse skills development method) in Artica private universities, and the goal of the appropriate situation has been identified. The hypothetical, which was placed within scientific learning for my learning, then formulating research hypotheses and testing them using compatible statistical methods and using the statistical program (SPSS). In general, descriptive models were adopted to explain the specialized and analytical frameworks for the research movements, so that the study population consisted of employees at the two universities at the three administrative levels, and the sample size was (61) individuals from managers and directors of departments, divisions, and the three administrative units. The research reached several results, the most important of which was the existence of a significant correlation between smart tools and human resources management methods and their dimensions in the technical study community. Finally, I am completely confident in providing the basis for artificial intelligence tools for new operations through procedures for initiating cooperative operations and cooperating with optimal resources in order to advance and maintain survival and continuity, as well as methods of human resources management.

Konsep Manajemen Sumber Daya Dalam Paradigma Pendidikan Islam

This research investigates Islamic education resource management methods and their impact on the effectiveness of Islamic education institutions. Through a qualitative approach and literature study, this research analyses concepts, history and approaches in Islamic education resource management. The research method involved collecting data from various sources, including books, journals and official documents relevant to this topic. Data analysis was conducted by summarising the findings and identifying relevant patterns and trends. The results show that Islamic education resource management includes managing human, material, financial and spiritual resources by applying Islamic values in every aspect. The history of the development of Islamic education management shows an evolution from the golden age to the modern era, characterised by challenges and adaptation to changing times. There are various approaches to Islamic education management, such as operational, behavioural, system and quantitative approaches, which provide a comprehensive framework for managing Islamic education institutions effectively and efficiently. By understanding the concepts, history and approaches in Islamic education resource management, it is hoped that Islamic education institutions can achieve their educational goals more effectively, as well as make a positive contribution to the development of Muslim society as a whole. This research provides valuable insights for Islamic education practitioners in designing management strategies that are in line with Islamic values and the demands of the times.

GLRM: Geometric Layout-Based Resource Management Method on Multiple Field Programmable Gate Array Systems

Multiple field programmable gate array (Multi-FPGA) systems are capable of forming larger and more powerful computing units through high-speed interconnections between chips and are beginning to be widely used by various computing service providers. However, the new computing architecture brings new challenges to the system’s task resource management. Existing resource management methods do not fully exploit resources in Multi-FPGA systems, and it is difficult to support fast resource request and release. In this regard, we propose a geometric layout-based resource management (GLRM) method for Multi-FPGA systems. First, a geometric layout-based task combination algorithm (TCA) was proposed to ensure that the final system can use the available FPGA resources more efficiently. Then, we optimised two resource management algorithms using TCA. Compared with state-of-the-art resource management methods, TCA increases resource flexibility by an average of 6% and resource utilisation by an average of 7%, and the two optimised resource management methods are effective in improving resource management performance.