Resource Management Applications Research Articles

Application of the Concept of Strategic Human Resources Management in Improving Organizational Performance in the Vuca Era

In improving organizational performance in this VUCA era, it requires a management or human resource management. The development of a company depends on the human resources of the company. Good management will have a positive impact on organizational performance. The purpose of this study is to determine the application of strategic human resource management (MSDMS) in an effort to contribute to improving organizational performance in the VUCA era. This study uses a qualitative approach by using a review of the literature in the Google Scholar database by looking for references from the literature review that is relevant to the case or problem to present the theory of the research problems carried out. The results of this study are one of the factors that directly affect the level of achievement of organizational performance is the management of human resources. Or in other words the management of human resources can be a determinant to improve organizational performance. The importance of strategic planning to improve organizational quality makes the implementation of strategic human resource management able to improve organizational performance in the VUCA era

Evaluation of Global Precipitation Products over Wabi Shebelle River Basin, Ethiopia

This study presents three global precipitation products and their downscaled versions (CHIRPSv2, TAMSATv3, PERSIANN_CDR, CHIRPS_D, PERSIANNN_CDR_D, and TAMSAT_D) estimated with observed values from 1983 to 2014. Performance evaluation of global precipitation products and their downscaled versions is important for accurate use of those measured values in water resource management, climate, and hydrological applications, particularly in the data-sparse Wabi Shebelle River Basin, Ethiopia. Categorical and quantitative evaluation index techniques were applied. The spatial downscaled global precipitation products outperformed raw spatial resolution estimates in all statistical indicators. TAMSAT-D had acceptable performance ratings in terms of RMSE, CC, and scatter plots (R2). CHIRPSv2 showed the least performance at a daily timestep. Performance of global precipitation products and their downscaled versions increased when daily data were aggregated to the monthly data. CHIRPS-D performed better than other products with a minimum error value (RMSE) and higher CC at a monthly timestep. On the other hand, PERSIANN_CDR_D showed a relatively good performance with a lower, positive Pbias and higher POD values compared to other products for daily and monthly timescales. For spatial mismatch analysis, the bias and RMSE from reference data (individual rain gauge station vs. the average of all available eight stations) against satellite rainfall estimates (PERSIANN_CDR) had a significantly different weight, which could be related to the position of the gauge station to provide the “true” spatial rainfall amount. Overall, TAMSATv3 and CHIRPSv2 and their downscaled version satellite estimates showed good performance at daily and monthly timesteps, respectively. PERSIANN_CDR performed best with low Pbias and the highest POD values. Thus, this study decided that the downscaled version of CHIRPSv2 and PERSIANN_CDR-D satellite estimates could be applicable as an alternative to gauge data on a monthly timestep for hydrological and drought-monitoring applications, respectively.

STRATEGI PEMASARAN KOPI GUNUNG HALU PRODUKSI KOPERASI RIMBA LESTARI BANDUNG JAWA BARAT

The purpose of this research is to find out a suitable marketing strategy in the application of Green Human Resource Management in order to compete for strategy. The best marketing strategy for the Gunung Halu coffee market in Tangsi Jaya is based on the results of the SWOT strategy analysis, the company's position is in the medium category, so the right marketing strategy is an aggressive strategy. Strategies that can be carried out are: Fostering a culture of coffee drinking, expanding networks through distributors and outlets, processing raw materials with technology/environmentally friendly, appearing with modern packaging. The strategic model is expected to be able to reach the coffee market for export to foreign countries.

HRM Practices develop product differentiation and cost leadership strategy, enabling Organizations to attain competitive advantage: A narrative review

Human resource management practice (HRMP) has been broadly acknowledged and widely recognized by almost every organization. Many studies have been conducted to review the application of human resource management (HRM) and other aspects that have manifested and been determined to be true in a variety of scenarios. HRM practices have been found to be essential and effective in the delivery of services and socioeconomic growth. In well-established organizations, up-to-the-level performance and competition are impossible without the required skilled, well-motivated people working in a good human resource management program development. In both small and big educational institutions, a framework that relies on human resources management strategies for program implementation is required in an educational setting the most essential practices of human resource management are selection and recruitment, appraisal of performance, training and development, and reward and rumination systems. It is very pertinent for an organization to comprehend methods of attracting, retaining boast the Morales of those in the marketplace who are skilled and competent. Organizations by the virtue of implementation of soft dimensions of HRM become able to gain a competitive edge. From the available literature it very evident that through the procedures and practices of human resource management not only the performances of an organization are enhanced but it becomes able to get what is called “competitive advantage”.

Multi-year, spatially extensive, watershed-scale synoptic stream chemistry and water quality conditions for six permafrost-underlain Arctic watersheds

Abstract. Repeated sampling of spatially distributed river chemistry can be used to assess the location, scale, and persistence of carbon and nutrient contributions to watershed exports. Here, we provide a comprehensive set of water chemistry measurements and ecohydrological metrics describing the biogeochemical conditions of permafrost-affected Arctic watersheds. These data were collected in watershed-wide synoptic campaigns in six stream networks across northern Alaska. Three watersheds are associated with the Arctic Long-Term Ecological Research site at Toolik Field Station (TFS), which were sampled seasonally each June and August from 2016 to 2018. Three watersheds were associated with the National Park Service (NPS) of Alaska and the U.S. Geological Survey (USGS) and were sampled annually from 2015 to 2019. Extensive water chemistry characterization included carbon species, dissolved nutrients, and major ions. The objective of the sampling designs and data acquisition was to characterize terrestrial–aquatic linkages and processing of material in stream networks. The data allow estimation of novel ecohydrological metrics that describe the dominant location, scale, and overall persistence of ecosystem processes in continuous permafrost. These metrics are (1) subcatchment leverage, (2) variance collapse, and (3) spatial persistence. Raw data are available at the National Park Service Integrated Resource Management Applications portal (O'Donnell et al., 2021, https://doi.org/10.5066/P9SBK2DZ) and within the Environmental Data Initiative (Abbott, 2021, https://doi.org/10.6073/pasta/258a44fb9055163dd4dd4371b9dce945).

Diversity of Fish Genetic Resources below the Species Level, Characterization and Applications in Resource Management

Intraspecific variation includes the genetic and phenotypic diversity found within and among populations that are often threatened by a reduction in population, local extinctions, climate change, and anthropogenic activities. Documentation of these below-species level variations constitutes the primary step towards conservation. High- resolution genetic markers can potentially be deployed to understand the pattern of genetic diversity at intra and inter-specific levels. The inferences drawn from genetic diversity analysis holds many applications, mainly taxonomy/systematics of species, understanding their genetic connectivity, identifying the breeding populations/parentage assignment, fisheries management, and conservation measures including ranching programs for the purpose of genetic rescue and stock enhancement of wild relatives. These variations form strong foundation for creating base populations in a selective breeding program.

Application of Project Time Management and Resource Management to a Novel Blended Wing Unmanned Aerial Vehicle (BWB UAV) Design

Application of Project Time Management and Resource Management to a Novel Blended Wing Unmanned Aerial Vehicle (BWB UAV) Design

Application of Human Resources Management on Employee Performance Mediated on Organizational Citizenship Behavior: Study at the Social Service Office of Aceh Selatan District

This research intends to examine the application of human resource management (HRM) on employee performance mediated by organizational citizenship behavior (OCB) at the social service office of Aceh Selatan Regency. The population was all employees at the Social Service of Aceh Selatan Regency, totaling 119 people. In this study, the determination of the sample was by using the census method. The research model was analyzed using a structural model. The descriptive hypothesis testing reveals that the HRM implementation, OCB, and employee performance are applied good, the Direct hypothesis testing proves that the implementation of HRM affects OCB, and the implementation of HRM and OCB affect employee performance, and the indirect hypothesis testing proves that OCB partially mediates the implementation of HRM effect on the performance of the Social Service of Aceh Selatan Regency employees. These findings prove that the model of improving employee performance at the Aceh Selatan district social service is a function of HRM implementation and OCB improvement, with OCB as a partial mediator. The meaning is that increasing the effectiveness of KSA (Knowledge, Skills, Abilities), motivation, and opportunities in the implementation of HRM, will increase OCB and have an impact on improving employee performance.

Applications in Human Resource Management: A Study of Authoritative Textbooks

For the purpose of achieving four research objectives: (1) to describe general meaning, types, and utility of applications in Human Resource Management (HRM) useful for teaching and learning purpose; (2) to explore, record, and classify applications in HRM presented in the textbooks on HRM selected for the study; (3) to determine the importance of the classified applications in HRM as per the intensity of usage; and (4) to propose some implications of the findings in the way that will contribute theoretically and practically. The adopted research strategy was the desk research strategy and the study was carried out by using two non-scientific methods, i.e., authority to a greater extent and logical beliefs to a certain extent. By adopting seven conditions 29 authoritative textbooks were utilized and from which a considerable number of applications were explored and recorded. They were logically classified into 15 applications which were arranged in the order of importance in terms of the intensity of usage. Finally, implications were given briefly.

Intelligent IoT-multiagent precision irrigation approach for improving water use efficiency in irrigation systems at farm and district scales

The fourth industrial revolution in agriculture seeks the automation of traditional practices, using modern smart technologies. Advances in electronics, computation and the internet of things are integrated for improving field inputs management. The aim of this paper is to present the design and implementation of an intelligent IoT-multiagent precision irrigation approach for improving water use efficiency in irrigation systems. The study site was the large-scale irrigation and drainage district of Chicamocha and Firavitoba (Usochicamocha) located in Boyacá - Colombia, where water is distributed from the Chicamocha riverbed. In the proposed system, irrigation is supervised and controlled in each field by an intelligent irrigation agent that autonomously prescribes and applies water amounts with agronomical criteria. The methodology was applied with real (cyber-physical) and virtual (simulated) intelligent agents and was extended to eleven pump stations that supply water to 5911 fields. Using a MQTT protocol, hundreds of irrigation intelligent agents report water prescriptions and crop characteristics to a master agent in each pump station, who creates a regional irrigation map to manage georeferenced field information and performs negotiation of water resources between agents according to supply availability. Field maps and intelligent irrigation agents can be visualized using devices with internet access. Results demonstrated that irrigation amounts were correctly applied on the fields, thus improving the water use efficiency. This technology is a novel support to decision-making in water resources management applications at field and district scales.

Deep unsupervised methods towards behavior analysis in ubiquitous sensor data

Behavioral analysis (BA) on ubiquitous sensor data is the task of finding the latent distribution of features for modeling user-specific characteristics. These characteristics, in turn, can be used for a number of tasks including resource management, power efficiency, and smart home applications. In recent years, the employment of topic models for BA has been found to successfully extract the dynamics of the sensed data. Topic modeling is popularly performed on text data for mining inherent topics. The task of finding the latent topics in textual data is done in an unsupervised manner. In this work we propose a novel clustering technique for BA which can find hidden routines in ubiquitous data and also captures the pattern in the routines. Our approach efficiently works on high dimensional data for BA without performing any computationally expensive reduction operations. We evaluate three different techniques namely Latent Dirichlet Allocation (LDA), the Non-negative Matrix Factorization (NMF), and the Probabilistic Latent Semantic Analysis (PLSA) for comparative study. We have analyzed the efficiency of the methods by using performance indices like perplexity and silhouette on three real-world ubiquitous sensor datasets namely, the Intel Lab, Kyoto, and MERL. Through rigorous experiments, we achieve silhouette scores of 0.7049 over the Intel Lab dataset, 0.6547 over the Kyoto dataset, and 0.8312 over the MERL dataset for clustering. In these cases, however, it is di cult to validate the results obtained as the datasets do not contain any ground truth information. Towards that, we investigate a self-supervised method that will be capable of capturing the inherent ground truths that are available in the dataset. We design a self-supervised technique which we apply on datasets containing ground truth and also without. We see that our performance on data without ground truth differs from that with ground truth by approximately 8% (F-score) hence showing the efficacy of self-supervised techniques towards capturing ground truth information.

Implementation of Human Resources Management in Tea Plantations in Indonesia: A Case Study – Pt. Perkebunan Tambi

Tea is one of the leading plantation commodities in Indonesia. Most of the tea commodities produced today are exported to the international market. The success of tea plantations in facing the dynamics and challenges of course cannot be separated from the implementation of good human resource management where human resource management is aimed at improving the quality of the company’s workforce. This paper aims to determine the application of human resource management in a tea plantation company in Indonesia (case study: PT. Perkebunan Tambi). The qualitative research method used in this study used an interactive model and took sources from key informants. The results of this study indicated that PT. Perkebunan Tambi implements human resource management starting from planning, recruitment, selection, socialization or orientation, training and development, performance appraisal to promotion, transfer, and termination of employment to increase productivity and quality of its employees.

The Implementation of Human Resource Management in Improving the Quality of Teacher’s Learning

This article aims to describe the application of human resource management in improving the quality of teacher learning. The research used a qualitative approach, while the type of research was survey/field research. Collecting data using interview techniques, observation, and documentation. Furthermore, the collected data will be analyzed with data reduction techniques, data presentation, and finally drawing conclusions. The results of this research indicate that a) The application of human resource management in improving the quality of teacher learning: (1) Planning for Human Resource Needs (2) Procurement of Human Resources/Recruitment Staff. (3) Assessment of Work Performance and Compensation of Human Resources. (4) Human Resources Training and Development. (5) Creating and Fostering Effective Work Relationships. b) Supporting factors are support from student guardians, students, and school principals, leadership, human resources, facilities, culture. Inhibiting Factors are limited learning time, Less optimal education and teacher training development, Quality communication. c) The results of improving the quality of teacher learning through the application of human resource management are evidenced by the completeness and quality of teaching tools owned by teachers of SMK N 2 Jepara which include: RPP, journals, student attendance lists, question analysis, enrichment programs, and assessment instrument. So that each student has a Study Result Card, Value Transcript (report card), Portfolio, and Competency Certificate

Understanding the Impact of Soil Moisture on Precipitation Under Different Climate and Meteorological Conditions: A Numerical Sensitivity Study Over the CONUS

AbstractAccurate quantitative precipitation forecasts are essential for water resources management, agriculture, and other applications. Soil moisture is among the most important boundary conditions affecting the overlying atmosphere. It can affect precipitation either directly via evapotranspiration, affecting the moisture supply to the atmosphere, or indirectly, changing sensible heat fluxes, which can affect the structure of storms and their associated distributions of precipitation. In this study we investigate the impact of soil moisture uncertainty on simulated precipitation over the conterminous United States (CONUS) with the Weather Research and Forecasting model. We selected two 30‐day periods to conduct simulation scenarios with 3‐km horizontal grid spacing over the CONUS, where the different simulations were identical except for their initial soil moisture and temperature states which were derived from three different products: Global Forecast System analyses, the National Center for Atmospheric Research (NCAR) continuously cycling ensemble Kalman filter (EnKF) data assimilation system, and the North American Land Data Assimilation System (NLDAS‐2). Results indicate different characteristics of the soil moisture–precipitation relationship during the cold and warm periods and under different climate and meteorological conditions. Better representation of initial soil moisture does not consistently provide an improvement in the simulation of precipitation. Our results suggest that soil moisture affects both the magnitude and spatial distribution of precipitation. The impact of soil moisture on precipitation is more pronounced under drier soil and strong thermal and weak synoptic forcing, while in areas with complex terrain the soil moisture‐precipitation coupling becomes weaker.

PENERAPAN MANAJEMEN SUMBER DAYA MANUSIA PADA UMKM KONVEKSI BORDIR DI KECAMATAN GEBOG KABUPATEN KUDUS

This study aims to describe the application of human resource management in embroidery convection SMEs in the Gebog District, Kudus Regency, which includes: labor procurement, employee development, career development, work performance assessment, compensation and occupational safety and health. The embroidery convection business which is the object of research is 125 businesses operating in Pedurenan and Karangmalang villages. The data analysis technique used in this research is descriptive analysis.
 The population in this study are Formal and Informal Entrepreneurs in the context of Embroidery Convection SMEs in Gebog District, Kudus Regency. The sample used in this study was as many as 125 people. Of the six variables used to describe Human Resource Management at Embroidery Convection SMEs in Gebog District, Kudus Regency, there is only 1 variable that is in the fairly good category, namely: career development. While the other five variables, namely manpower procurement, employee development, performance appraisal, compensation and occupational safety and health, are in the Good category.

Explaining resistance intention towards mobile HRM application: the dark side of technology adoption

PurposeThe mobile human resource management application (mHRM app) has recently been seen as an innovative cloud-based solution to manage human resource management (HRM) within organisation. Despite its great potential, organisations have shown resistance towards the usage of the mHRM app. This study investigates the dark side of electronic HRM (eHRM) by examining factors affecting HR professionals' resistance to the mHRM app using status quo bias (SQB) theory. The study also examines the moderating effect of personal innovativeness.Design/methodology/approachResponses were collected from 239 HR professionals using an online survey. Structural equation modelling (SEM) and PROCESS macro were used to examine the hypotheses.FindingsThe results indicated that regret avoidance, inertia, switching costs and perceived threat significantly affect HR professionals' resistance towards mHRM app adoption. Results also indicated that high personal innovativeness negatively moderates the association between inhibitors and resistance to adopt the mHRM app.Practical implicationsThe study's findings will help HR professionals reduce their resistance towards mHRM app adoption.Originality/valueThis study enriches eHRM, mobile applications and the SQB literature.

On the Optimization of Self-Organization and Self-Management Hardware Resource Allocation for Heterogeneous Clouds

There is a tendency, during the last years, to migrate from the traditional homogeneous clouds and centralized provisioning of resources to heterogeneous clouds with specialized hardware governed in a distributed and autonomous manner. The CloudLightning architecture proposed recently introduced a dynamic way to provision heterogeneous cloud resources, by shifting the selection of underlying resources from the end-user to the system in an efficient way. In this work, an optimized Suitability Index and assessment function are proposed, along with their theoretical analysis, for improving the computational efficiency, energy consumption, service delivery and scalability of the distributed orchestration. The effectiveness of the proposed scheme is being evaluated with the use of simulation, by comparing the optimized methods with the original approach and the traditional centralized resource management, on real and synthetic High Performance Computing applications. Finally, numerical results are presented and discussed regarding the improvements over the defined evaluation criteria.

OpenET: Filling a Critical Data Gap in Water Management for the Western United States

AbstractThe lack of consistent, accurate information on evapotranspiration (ET) and consumptive use of water by irrigated agriculture is one of the most important data gaps for water managers in the western United States (U.S.) and other arid agricultural regions globally. The ability to easily access information on ET is central to improving water budgets across the West, advancing the use of data‐driven irrigation management strategies, and expanding incentive‐driven conservation programs. Recent advances in remote sensing of ET have led to the development of multiple approaches for field‐scale ET mapping that have been used for local and regional water resource management applications by U.S. state and federal agencies. The OpenET project is a community‐driven effort that is building upon these advances to develop an operational system for generating and distributing ET data at a field scale using an ensemble of six well‐established satellite‐based approaches for mapping ET. Key objectives of OpenET include: Increasing access to remotely sensed ET data through a web‐based data explorer and data services; supporting the use of ET data for a range of water resource management applications; and development of use cases and training resources for agricultural producers and water resource managers. Here we describe the OpenET framework, including the models used in the ensemble, the satellite, meteorological, and ancillary data inputs to the system, and the OpenET data visualization and access tools. We also summarize an extensive intercomparison and accuracy assessment conducted using ground measurements of ET from 139 flux tower sites instrumented with open path eddy covariance systems. Results calculated for 24 cropland sites from Phase I of the intercomparison and accuracy assessment demonstrate strong agreement between the satellite‐driven ET models and the flux tower ET data. For the six models that have been evaluated to date (ALEXI/DisALEXI, eeMETRIC, geeSEBAL, PT‐JPL, SIMS, and SSEBop) and the ensemble mean, the weighted average mean absolute error (MAE) values across all sites range from 13.6 to 21.6 mm/month at a monthly timestep, and 0.74 to 1.07 mm/day at a daily timestep. At seasonal time scales, for all but one of the models the weighted mean total ET is within ±8% of both the ensemble mean and the weighted mean total ET calculated from the flux tower data. Overall, the ensemble mean performs as well as any individual model across nearly all accuracy statistics for croplands, though some individual models may perform better for specific sites and regions. We conclude with three brief use cases to illustrate current applications and benefits of increased access to ET data, and discuss key lessons learned from the development of OpenET.

Big data and environmental sustainability based integrated framework for isotope hydrology applications in India

Water contains environmental isotopes, which can act as tracers to study the source, origin, and distribution of water in the hydrological cycle. Recently, the environmental isotopes have been widely applied in hydrological investigations and it is established that the spatio-temporal variations in isotopic abundance provide valuable information to enhance the qualitative and quantitative understanding of hydrological processes such as mixing of different flow components and recharge rate, identify origin of water, delineation of groundwater recharge zones, geothermal dynamics, paleo-recharge and many others. Here, a review of case studies is presented to highlight the impact of isotope applications in water resource management in India. Along with a review of studies across India, a study is carried out for the assessment of groundwater interactions using isotopes of water (18O, 2H and 3H) in dry/semi-arid region (Jaipur) and wet/humid region (Guwahati). The major outcome of the study is the formulation of groundwater baseline for Guwahati (post-monsoon in 2017 and 2018: δD= 4.98 δ18O + 7.50) and Jaipur (post-monsoon and pre-monsoon in 2018: δD= 4.85 δ18O – 9.49). The results indicate that tritium has strong negative correlation (R2 = 0.59) with depth in Jaipur, indicating increasing groundwater age with depth. In Guwahati, the tritium shows weak positive (R2= 0.25) relationship which might be because of the presence of sandyclay layers in the shallow zone limiting vertical recharge to aquifer. Moreover, based upon the review and isotope results of the two study sites, a novel integrated framework for isotope hydrology application for India is proposed, incorporating the principles of environmental sustainability, economic efficiency and social equity. The isotopic techniques in hydrological investigations not only complements the traditional methods used in water resource management but also provides new insights and an enhanced understanding of the hydrological systems.

"Everyone is becoming a forester": From state monopoly to participatory forest management in Sao Hill Forest, Tanzania, c.1990-2015

In 2000, Sao Hill Forest, the biggest state-owned plantation in Tanzania, was forced to adopt "community forest management" - a paradigm usually adopted in protecting only natural forests. We hope to contribute to the scholarship on forest management by using this unusual case study - taken from plantation forests. Research on community or participatory forest management has focused on natural forests - but plantations offer different issues to consider. We argue that the state was compelled to adopt, but also adapt to the model of community management in order to fit a neo-liberal donor context while, on a practical level, protecting it from local environmental hazards. To contextualise this historical case-study, we explain why Sao Hill stagnated and then examine the survival strategies adopted by the managers at the plantation. We then explore the relationship of the forest project with the surrounding communities, highlighting different local and vernacular responses to what came to be understood as "community forest management". We use this case study to examine this idiographic application of community resource management, in order to demonstrate the real-world use of environmental history in informing current policy decisions.