Resource Management Techniques Research Articles

Organizational Planning and Business Human Resource Management: A Systematic Qualitative Review

Sustainability in accomplishing organizational objectives is highly dependent on HRM and organizational planning. Organizations confront more complicated problems in today's corporate world because of globalization, sustainability demands, and fast technological progress. In today's business world, effective organizational planning and human resource management techniques are critical for companies to stay competitive and adaptable. This systematic qualitative evaluation aims to examine different methods and practices in human resource management and organizational planning by reviewing a large body of literature. The major goals of this review are to (1) identify current trends, (2) assess the advantages and disadvantages of these trends and solutions, and (3) assess the effect of these tactics on the performance of businesses across different industries. This review sheds light on the relationship between organizational sustainability, HRM practices, and strategic planning by synthesizing and analyzing pertinent papers using a rigorous and open methodology. The results of this review provide scholars and practitioners with actionable advice to improve the efficiency and longevity of organizations.

An examination of sustainable human resource management for achieving financial, social, and environmental goals

A comprehensive analysis of sustainable human resource management (SHRM) techniques for accomplishing organizational financial, social and environmental objectives is done in this study. Here, we examine the diverse function of SHRM in coordinating human capital practices with more extensive organizational goals, acknowledging the growing significance of sustainability in today's corporate environment. We contend that although SHRM has not performed up thus far, it possesses the capacity to greatly aid in bolstering an organization's endeavors. We investigate the causes of this failure and talk about how SHRM can be involved in the formulation and execution of a company's strategy. Our proposal for a multifaceted, multistakeholder approach to sustainable SHRM builds on previous efforts to include environmental and corporate responsibility in the SHRM assessment framework. This approach includes actions meant to prevent negative consequences for stakeholders as well as to contribute to successful results along the triple bottom line as we explore the implications for study and develop a number of assertions as well as suggestions for more investigation.

Underground Ink: Printed Electronics Enabling Electrochemical Sensing in Soil.

Improving agricultural production relies on the decisions and actions of farmers and land managers, highlighting the importance of efficient soil monitoring techniques for better resource management and reduced environmental impacts. Despite considerable advancements in soil sensors, their traditional bulky counterparts cause difficulty in widespread adoption and large-scale deployment. Printed electronics emerge as a promising technology, offering flexibility in device design, cost-effectiveness for mass production, and a compact footprint suitable for versatile deployment platforms. This review overviews how printed sensors are used in monitoring soil parameters through electrochemical sensing mechanisms, enabling direct measurement of nutrients, moisture content, pH value, and others. Notably, printed sensors address scalability and cost concerns in fabrication, making them suitable for deployment across large crop fields. Additionally, seamlessly integrating printed sensors with printed antenna units or traditional integrated circuits can facilitate comprehensive functionality for real-time data collection and communication. This real-time information empowers informed decision-making, optimizes resource management, and enhances crop yield. This review aims to provide a comprehensive overview of recent work related to printed electrochemical soil sensors, ultimately providing insight into future research directions that can enable widespread adoption of precision agriculture technologies.

Hydrogeochemical characterization and water quality evaluation for drinking and irrigation purposes of coastal aquifers of Middle Andaman

A comprehensive study to characterize the hydrogeochemistry of the region and the impact of saltwater intrusion on groundwater was conducted along the eastern coast of Middle Andaman of Andaman and Nicobar (A&N) Islands. The escalating population growth and intensified tourism activities have resulted in the over-extraction of groundwater. Seismic activities led to the opening of lineaments to the sea and the dissolution of limestone in the influence of seawater. 24 groundwater samples and 1 reference sample from sea were taken from various locations of middle Andaman. The analysis involved the determination of major cations, anions, and heavy metals using Inductively Coupled Plasma Optical Emission spectroscopy (ICP), spectrophotometry, and flame photometry. Furthermore, X-ray diffraction analysis, binary diagrams, Chloro-alkaline indices (CAI), Gibbs Plot, correlation matrix, Piper plot, Chadha’s plot and Principal Component Analysis (PCA) to the major ions data indicated rock-water interactions, strong correlations among alkali and alkaline earth metals, and interactions between seawater and carbonate minerals respectively. The water quality index indicated “very poor to unsuitable for drinking purposes” in 24% of the samples. Additionally, indices for irrigation suitability; total hardness (TH), residual sodium carbonate (RSC), and Magnesium adsorption ratio (MAR) were found to be detrimental for irrigation in 80%, 08%, and 12% of the water samples, respectively. These results highlight the importance of implementing effective water resource management techniques, such as groundwater extraction rates, adopting appropriate water treatment technologies to mitigate the adverse impacts of heavy metals, saltwater intrusion and maintain water quality for human consumption and agricultural use in the region.

Investigation of climate change by analysing the rainfall pattern in kuzhithuraiyar sub-basin of India using GIS-based spatial analysis

Global climate change may have a significant effect on several environmental components in many different nations worldwide. Variations in the pattern of precipitation have an immediate impact on the management of water resources. To improve water resource management techniques, it is critical to investigate differences in the temporal and geographical rainfall patterns. The current study looks at rainfall patterns in the Kuzhithuraiyar sub-basin of the Kodayar basin, Kanyakumari District. Utilizing the mean monthly data from four distinct rain gauge locations, we have comprehensively compiled and analysed rainfall statistics over an extensive timespan of 30 years (1991–2020). For precision in temporal categorization, this data was meticulously divided into four seasonal classifications: pre-monsoon, post-monsoon, southwest monsoon (SW), and northeast monsoon (NE). Using ArcGIS 10.8, the rainfall pattern was analysed, and spatial distribution maps for the four seasons listed above were created using the inverse distance weighting (IDW) approach. The region receives an average of 1456.78 mm of precipitation each year, with the post-monsoon, pre-monsoon, SW monsoon, and NE monsoon providing 32.87 mm, 335.28 mm, 538.67 mm, and 549.97 mm, respectively. The results reveal that the model correlates mean rainfall and rainfall variability over areas of Tamil Nadu's Kuzhithuraiyar sub-basin with some accuracy in terms of the number of rainfall extremes and their spatial distribution maps.

Distributed Resource Management in Cloud Computing: A Review of Allocation, Scheduling, and Provisioning Techniques

This review paper provides an in-depth examination of distributed resource management in cloud computing, focusing on the critical elements of allocation, scheduling, and provisioning. Cloud computing, characterized by its dynamic and scalable nature, necessitates efficient resource management techniques to optimize performance, cost, and service. The study encompasses a comprehensive analysis of various strategies in resource allocation, scheduling methodologies, and provisioning techniques within the cloud computing paradigm. Through comparative analysis, this paper aims to highlight the synergies and trade-offs inherent in these methods, offering a holistic view of distributed resource management. It contributes to the field by bridging the gap in existing literature, presenting a critical, comparative analysis of current strategies and their interplay in distributed cloud environments.

ADVANCED METHODS FOR MAINTAINING AND MANAGING THE LIFE CYCLE OF CLOUD ENVIRONMENTS: SURVEY

Resource management is a fundamental concept in cloud computing and virtualization, encompassing the allocation, release, coordination, and monitoring of cloud resources to optimize efficiency. The complexity arises from the virtualized, heterogeneous, and multi-user nature of these resources. Effective governance is challenging due to uncertainty, large-scale infrastructures, and unpredictable user states. This paper presents a comprehensive taxonomy of resource management technologies, offering a detailed analysis of design architecture, virtualization, and cloud deployment models, along with capabilities, objectives, methods, and mechanisms. In a cloud computing environment, deploying application-based resource management techniques necessitates understanding the system architecture and deployment model. This paper explores centralized and distributed resource management system architectures, providing a review of effective resource management techniques for both, accompanied by a comparative analysis. The evolution of cloud computing from a centralized to a distributed paradigm is examined, emphasizing the shift towards distributed cloud architectures to harness the computing power of smart connected devices at the network edge. These architectures address challenges like latency, energy consumption, and security, crucial for IoT-based applications. The literature proposes various methods for distributed resource management, aligning with the distributed nature of these architectures. Resource management in cloud computing involves discovery, provisioning, allocation, and monitoring functions, with sub-functions like mapping and scheduling. Integrated approaches to consolidation and resource management have been explored in numerous studies. This paper summarizes and analyzes existing research on resource management functions, focusing on identification, provisioning, allocation planning, and monitoring, based on their objectives and methods.

Editorial: New tools and techniques for advanced water resource management

Editorial: New tools and techniques for advanced water resource management

Synergizing enterprise resource management with technology through driving innovation and growth in business models

A human resources management plan is presently recognised as one of the most important components of a corporate technique. This is due to the fact that its major purpose is to interact with people, who are the most precious asset that an organisation has. It is impossible for an organisation to achieve its objectives without the participation of individuals. An organisation may effectively plan as well as manage individual processes to support the organization’s objectives and adapt nimbly to any change if it has well-prepared HR techniques and an action plan for its execution. This investigation puts up a fresh way for the board of directors of a private firm to increase their assets and advance their growth by using cloud programming that is characterised by networks. The small company resource has been improved by strengthening human resource management techniques, and the cloud SDN network is used for job scheduling using Q-convolutional reinforcement recurrent learning. The proposed technique attained Quadratic normalized square error of 60%, existing SDN attained 55%, HRM attained 58% for Synthetic dataset; for Human resources dataset propsed technique attained Quadratic normalized square error of 62%, existing SDN attained 56%, HRM attained 59% ; proposed technique attained Quadratic normalized square error of 64%, existing SDN attained 58%, HRM attained 59% for SyriaTel dataset.

Sustainable resource management and green economic growth: A global prospective

The search for green economic development has taken center stage on the international agenda as nations strive to reconcile economic advancement with environmental sustainability. The present research aims to clarify the complex link between long-term financial viability and environmental responsibility by using a huge dataset from the Chinese energy sector spanning the years 2012–2020. This paper examines the important topic of sustainable resource management and how it supports the growth of green economies globally. This study examines the connection between sustainable resource management techniques and green economic growth using an abundance of published literature, case studies, and empirical data. The increasing urgency of environmental concerns such as depletion of resources, biodiversity loss, and climate change highlights the need for effective resource management. Our research sheds light on the methods and strategies that have been used successfully around the world to support the development of green economies via sustainable resource management.

Beyond assumptions of altruism: Examining nonprofit work with a job fit framework and response surface analysis

AbstractScholars frequently investigate how nonprofit employees, as a group, differ from public or for‐profit employees. However, there is less focus on how motivational profiles vary among nonprofit employees. Particularly as the nonprofit sector professionalizes, the reasons why people seek nonprofit employment are diversifying. Recent work highlights a more individualized understanding of employee motivation, which can lead to more nuanced and tailored human resource management techniques. I amplify this stream of scholarship, guided by a job fit framework and introducing a robust methodological approach from organizational psychology that accounts for interactions between an employee's work preferences and work experiences on outcomes of interest. With two waves of original data on international aid workers, I demonstrate that the experience of prosocial work (i.e., work that aims to help other people) is associated with greater job satisfaction for those with strong prosocial work preferences but can be associated with reduced job satisfaction for those without. These findings necessitate nuanced attention to employees' work preferences, moving beyond assumptions that prosocial work will universally motivate nonprofit employee performance.

PEMA+: A Comprehensive Resource Manager for Microservices

Motivation. Microservices architecture has become more prevalent in cloud-based applications where small, looselycoupled service components work together to handle user requests [1]. This architecture differs greatly from traditional monolithic deployments and provides advantages such as agile resource management, better fault tolerance, and platform compatibility [2, 3]. The figure 1 shows the difference between monolithic and microservice architecture. However, microservices come with their own set of challenges, particularly in the area of resource management. Resource management for microservices-based applications is more challenging than for monolithic applications due to the larger configuration space and complex communication topology [4, 5]. Additionally, existing resource management techniques for monolithic applications must manage microservices effectively. The resource management challenges for microservices must be addressed as more production cloud services adopt this architecture [6, 7].

ШЛЯХИ ОПТИМІЗАЦІЇ СИСТЕМ ЖИТТЄЗАБЕЗПЕЧЕННЯ ТА ЗАСОБИ ПОДОЛАННЯ НЕДОЛІКІВ УПРАВЛІННЯ ПОСЕЛЕННЯМИ У ЧАСИ ЗМІН

The article explores aspects of economic management of settlements in the conditions of modern changes. The main goal is to determine ways of optimizing life support systems and developing effective strategies to overcome management deficiencies. The relevance of the topic is considered in the context of contemporary economic challenges and changes in the socio-economic environment. Emphasis is placed on the need to optimize life support systems of settlements and improve management methods, including consideration of modern strategies and tools. Existing research on indices and markers of socio-economic development of settlements is examined. Scientific results of researchers from various countries worldwide are discussed, as well as the results of practical research aimed at identifying ways to overcome management deficiencies of settlements. The study takes into account advanced technologies, effective resource management methods, and other innovative approaches. This article delves into the intricacies of economic management in settlements amidst modern changes, aiming to identify avenues for optimizing life support systems and devising effective strategies to address management deficiencies. It underscores the relevance of this inquiry within the framework of contemporary economic challenges and shifts in the socio-economic landscape, emphasizing the imperative of streamlining settlement life support systems and refining management methodologies, leveraging modern strategies and tools. The research examines existing studies on indices and markers of socio-economic development in settlements, encompassing scientific findings from diverse global researchers and practical research endeavours aimed at rectifying management shortcomings. It takes into consideration advanced technologies, efficient resource management techniques, and innovative approaches. A focal point of these investigations, closely aligned with a programmatic approach, is the examination of key aspects and potential impacts of program-oriented management on enhancing the socio-economic status of communities. Researchers within this domain delve into the concept of programmatic management, its implementation nuances at the local level, and its applicability within the Ukrainian context. Akin to the programmatic approach is the program-targeted approach, wherein researchers delineate its principles, implementation stages, and advantages vis-à-vis local development problem-solving, budgeting, and sectoral economic development. Other researchers provide case studies of successful programmatic approach implementations in other countries and potential adaptation scenarios for the Ukrainian context. Specifically, emphasis is placed on how programmatic management can optimize decision-making processes, enhance resource utilization efficiency, and contribute to sustainable socio-economic development. Related studies suggest that implementing a programmatic approach to local development management in Ukrainian communities could serve as a pivotal tool in achieving sustainable local development, ensuring optimal resource utilization, and enhancing the quality of life for residents.

Uloga i uticajni faktori sposobnosti virtuelnog upravljanja ljudskim resursima za uspostavljanje efikasnosti i zadržavanje udaljenih timova

The paper investigates the impact of virtual human resource management techniques on the effectiveness of remote teams and employee's retention to the organization. The paper provides relevant and new information on virtual teams given the transformational impact resulting from the COVID pandemic. Data was gathered from 323 managers working with virtual teams formed a base for this study across the globe using an anonymous survey. Data was analysed by two-dimensional statistics. The findings revealed that the implementation of the VHRM has led to high productivity, effectiveness and retention capacity of employees as they learn to adapt to the technological changes. Results demonstrate that adequate effort and resources invested in VHRM, human resource managers can identify and implement work efficient solutions, investing in new technology/tools for virtual teams (48%), improving communications (52%), and offering new upskilling opportunities for employees, that maximize employee output. Based on the results, remote team effectiveness is not directly affected by virtual work and mainly relates to the career possibilities as well as improved communication combined with professional development. Improvement is tied to integration of Artificial Intelligence, which significantly improve efficiency and workflows, awarding performance and supporting growth.

Human Resource Management and Employee Engagement in Nepalese Commercial Banks

Employee Engagement is mainstream attention for any type of organizations in the current business scenario. The aim of this study is to examine the relationship between employee engagement and HRM components among employees of various commercial banks in Nepal. The workplace, values, motivation, and attitude are among the independent variables in the study. Employee engagement is the study's dependent variable. Descriptive research design is the one employed in this study. The study's population consisted of 46,508 employees, and 396 employees were randomly chosen from 11 commercial banks using a simple random sampling technique. A standardized Likert scale questionnaire was used to collect the data, with 1 denoting a strong disagreement and 5 denoting a strong agreement. The data were analyzed using regression analysis, correlation, and descriptive statistics. Cronbach's Alpha has been used to measure reliability. With an average Chronbach's Alpha rating of 0.79, reliability has been considered acceptable. The study has concluded that employees' attitude, motivation and value have a favorable and significant relationship with employee engagement, Workplace has a positive but insignificant impact on employee engagement. The main emphasis of this study is the need for proactive, comprehensive strategies to human resource management techniques in order to guarantee coherence with company goals and prioritize employee engagement.

Application of Judgmental Sampling Approach for the Monitoring of Groundwater Quality and Quantity Evolution in Mediterranean Catchments

Groundwater monitoring is critically important, even though it is costly and often neglected. In this study, a judgmental monitoring of groundwater offering solutions based on a cost and time-effective research approach is presented. The method was performed in three Mediterranean areas in Greece and Italy to examine its advantages and disadvantages. As a first step, a multi-statistical analysis was practiced to assess and apportion the potential contributions of pollution sources of groundwater. Pearson correlation, principal component analysis, and factor analysis were applied to groundwater samples to characterize the evolution of hydrochemical processes. High concentrations of chlorides and nitrates highlight that salinization and the extensive use of nitrate fertilizers dominate in the coastal part of Eastern Thermaikos Gulf, the dissolution of carbonate rocks and livestock/industrial activities drive the groundwater quality status in the Upper Volturno basin, while in the Mouriki basin thermal power plant and the use of zinc fertilizers are the main factors of groundwater quality degradation. The determination of the critical sampling points was applied, considering the land use and hydrogeological and morphological characteristics of the areas. The application of the judgmental sampling approach provides reliable results regarding groundwater evolution. These results were compared to previous works and found that a non-probability sampling technique can provide the same results as a more costly method in the Mediterranean region. Thus, judgmental sampling is crucial for the optimal application of water resource management and control techniques in basins to avoid gaps in data collection.

Multi-resource predictive workload consolidation approach in virtualized environments

The revolution of virtualization technologies and Cloud computing solutions has emphasized the need for energy-efficient and Service level agreement (SLA)-aware resource management techniques in cloud data centers. Workload consolidation in Infrastructure-as-a-Service (IaaS) providers allows for efficient utilization of hardware resources and reduced energy consumption by consolidating workloads onto fewer physical servers. To ensure successful workload consolidation, it is crucial for IaaS providers to carefully estimate the host state and identify overloaded and underloaded hosts, thereby avoiding overly aggressive consolidation. Existing proposals determine the host state depending on its current resource utilization or a single anticipated resource utilization value, and often consider only a single resource type of the host, such as CPU. These limitations may lead to unreliable host state estimations, resulting in excessive and needless service migrations between physical machines (PMs). This, in turn, can lead to extra delays in service execution, degraded performance, increased power consumption, and SLA violations. To address these challenges, we propose a workload consolidation approach that leverages a multi-resource and multi-step resource utilization prediction model. Based on this model, our overload and underload decision-making algorithms consider the forecasted future trend (sequence of future value) of each host resource's utilization, including CPU, memory, and bandwidth. Through extensive experimentations conducted with two real-world datasets, we demonstrate that our approach can significantly reduce power consumption, SLA violation rate, and the number of migrations compared to existing benchmarks.

Faas‐sim: A trace‐driven simulation framework for serverless edge computing platforms

AbstractThis paper presentsfaas‐sim, a simulation framework tailored to serverless edge computing platforms. In serverless computing, platform operators are tasked with efficiently managing distributed computing infrastructure completely abstracted from application developers. To that end, platform operators and researchers need tools to design, build, and evaluate resource management techniques that efficiently use of infrastructure while optimizing application performance. This challenge is exacerbated in edge computing scenarios, where, compared to cloud computing, there is a lack of reference architectures, design tools, or standardized benchmarks.faas‐simbridges this gap by providing (a) a generalized model of serverless systems that builds on the function‐as‐a‐service abstraction, (b) a simulator that uses trace data from real‐world edge computing testbeds and representative workloads, and (c) a network topology generator to model and simulate distributed and heterogeneous edge‐cloud systems. We present the conceptual design, implementation, and a thorough evaluation offaas‐sim. By running experiments on both real‐world test beds and replicating them usingfaas‐sim, we show that the simulator provides accurate results and reasonable simulation performance. We have profiled a wide range of edge computing infrastructure and workloads, focusing on typical edge computing scenarios such as edge AI inference or data processing. Moreover, we present several instances where we have successfully usedfaas‐simto either design, optimize, or evaluate serverless edge computing systems.

Organizational Commitment and Employees Turnover Intention in Saudi Public Sector: The Mediating Role of Job Satisfaction and Work Environemnt

Purpose: Organisational commitment is critical to an organization's success and growth. It leads to increased job satisfaction, lower turnover, improved performance, a more positive organisational culture, and increased customer satisfaction. This research tries to highlight the relationship between organizational commitment and turnover intention taking into account the mediation role of job satisfaction and work environment. Theoretical framework: Organizational commitment is very crucial in today working environment. Employees are more likely to be inspired and dedicated to their work when they feel committed to their organisation.(Freudenberger, 1974) .This results in increased productivity and performance. Furthermore, organizational commitment is important in employee retention. Employees that are committed to their company are less inclined to depart for other chances(Mathieu, Fabi, Lacoursiere, & Raymond, 2016). This lowers turnover rates and the costs associated with hiring and training new personnel. Methodology: This is a quantitative study that employed a structured questionnaire design. This study's sample consists of 193 public officers from the Saudi public sector in the western region who were chosen at randomly. Raw data gathered via mail questionnaires. The data collected was analyzed by SmartPLS 3 to test the study's hypotheses. Findings: Finding of this study indicates that organizational commitment has a substantial and statistically significant influence on Job Satisfaction (β = 0.601, t = 8.580, p = .001), and turnover intention (β = -0.363, t = 4.737, p = .001). In addition, the work environment and job satisfaction show mediation role in the relationship between organizational commitment and turnover intention. Research, Practical & Social implications: Managers at the public organizations need to apply different strategies to enhance the overall job satisfaction like giving employees a voice and involving them in problem-solving. This make them feel valued and motivated. Such practice can lead to create a conducive working environment where few people decide to quit. Employees that are committed to their organisation are more inclined to put in extra effort and go the extra mile. It is highly recommended to adopt high-performance working environment. This requires an updated human resource management techniques and practices. Originality/Value: The findings of this study indicates that ORC has a substantial and statistically significant influence on Job Satisfaction, working environment, and turnover intention. This study also finds the work environment and job satisfaction are significantly mediated the relationship between organizational commitment and turnover intention. This contributes to the current literature especially in the public organizations studies.

An intelligent technique for network resource management and analysis of 5G-IoT smart healthcare application

<p>The transformation of traditional hospitals to a smart healthcare system is a patient-centric, reliable, and smarter way to enhance healthcare facilities for individuals. These healthcare devices are based on the Internet of Things (IoT) and conventional network structures such as 3rd generation (3G) or 4th generation (4G). That did not provide the patient health data in the real-time scenario. Therefore, the integrated 5G-IoT system offers distinct benefits such as remote monitoring, surgery, and real-time data analysis of healthcare system that is operated with slice of dedicated network. It generates huge data with the billions of healthcare equipment that can be evaluated for decision making. This enormous data requires low latency, high-security, capacity, and more reliable techniques for evaluation. In this scenario, network slicing is one of the key solutions that can be considered for isolated end-to-end network structures. Network slicing enables logical and independent network virtual networks to be multiplexed for the same physical network. In this article, we propose an intelligent approach for network resource optimization and analysis of a 5G-IoT based smart healthcare network. We examine the performance of the machine learning algorithm by an automatic model, named A Fast Library for automated machine learning (FLAML). In addition, we perform network slicing to obtain resource optimization in 5G-IoT-based healthcare application.<strong></strong></p>