Information Resource Management Research Articles

Sistem Informasi Manajemen Pegawai Berbasis Desktop (Studi Kasus: LPP RRI Jayapura)

Human Resources Management Information System (HRMIS) is a critical element in organizations or institutions to ensure the efficiency and effectiveness of employee data management. This research discusses the development of a desktop-based HRMIS at LPP RRI Jayapura to overcome challenges in employee data processing, such as the lack of user understanding of the existing system and issues in personnel administration. The research method used is the waterfall approach with steps including requirement analysis, system design, implementation, and testing. The research location focuses on the HR and General Affairs department of LPP RRI Jayapura. Data collection is done through observation and interviews with the Head of the Administrative Division. The results of the research include system design, database table structure, user interface, and black box testing. This system features the management of job positions, ranks, employees, spouses, children, promotion, mutation, and report generation. Black box testing indicates that the system functions well. The conclusion of this research is that the development of a desktop-based HRMIS can improve the efficiency and effectiveness of employee data management at LPP RRI Jayapura. This system is expected to provide solutions to existing challenges and enhance the performance of personnel management in the institution.

The Effect of Information Resources Management in the UK on Financial Institutions

The authors adopt the resource-based view (RBV) and information processing theory to discover the problems that impact the capital structure of financial institutions in the UK. Five firm-level explanatory variables (profitability, size, tangibility, age, and growth) were selected. The relevant capital structure measure was then regressed against the dependent variable leverage (debt-to-equity ratio). Consequently, correlation and multivariate regressions are applied to firm financial data from the selected financial institutions during the fiscal years 2011–2022. The primary conclusions of the study indicate that important information resources management variables for financial institutions in the UK are profitability and size. While the two other factors, profitability and growth, exhibit negative associations with capital structure, the remaining four variables, tangibility, size, age, and profitability, did not. The study reveals that optimal determinants of information resources management enhance financial performance in the case of top UK banks.

Assessment of Potential Potable Water Reserves in Islamabad, Pakistan Using Vertical Electrical Sounding Technique

This study aimed to investigate the potential reserves of potable water in Islamabad, Pakistan, considering the alarming depletion of water resources. A detailed vertical electrical sounding (VES) survey was conducted in two main localities: Bara Kahu (Area 1) and Aabpara to G-13 (Area 2), based on accessibility, time, and budget constraints. A total of 23 VES measurements were performed, with 13 in Area 1 and 10 in Area 2, reaching a maximum depth of 500 m. Geologs and pseudosections were generated to assess lithological variations, aquifer conditions, and resistivity trends with depth. Statistical distribution of resistivity (SDR), hydraulic parameters, true resistivity, macroanisotropy, aquifer depth and thickness, and linear regression (R2) curves were calculated for both areas, providing insights into the aquifer conditions. The results revealed that the study areas predominantly consisted of sandy lithology as the aquifer horizon, encompassing sandstone, sandy clay, and clayey sand formations. Area 2 exhibited a higher presence of clayey horizons, and aquifers were generally deeper compared to Area 1. The aquifer thickness ranged from 10 m to 200 m, with shallow depths ranging from 10 m to 60 m and deeper aquifers exceeding 200 m. Aquifers in Area 1 were mostly semi-confined, while those in Area 2 were predominantly unconfined and susceptible to recharge and potential contamination. The northwest–southeast side of Area 1 exhibited the highest probability for ground resource estimation, while in Area 2, the northeast–southwest side displayed a dominant probability. The study identified a probable shear zone in Area 2, indicating lithological differences between the northeast and southwest sides with a reverse sequence. Based on the findings, it is recommended that the shallow aquifers in Area 1 be considered the best potential reservoir for water supply. In contrast, deeper drilling is advised in Area 2 to ensure a long-lasting, high-quality water supply. These results provide valuable information for water resource management and facilitate sustainable water supply planning and decision making in Islamabad, Pakistan.

Herding dynamics and multidimensional uncertainty in equity crowdfunding: The impacts of information sources

This study investigates the temporal dynamics of herding behavior in equity crowdfunding, and especially when herding momentum is likely to occur during a funding campaign under the influence of different information disclosures. Our results are consistent with the multidimensional uncertainty theory in which herding does not occur in the first stage of funding campaigns but arises in the later stages. We further show that information from investors’ discussions may be noisier than information disclosure from project founders, and thus is more likely to bring on uncertainty and accentuate herding. Our findings highlight the importance of information resource management, in which different information sources may require different information disclosure policies.

Urban water resources accounting based on industrial interaction perspective: Data preparation, accounting framework, and case study

Water scarcity has become one of the serious global challenges threatening urban water security. To systematically understand the utilization of water resources in cities, this study established a novel comprehensive accounting framework of urban water resources based on three dimensions: “the entire city, sectoral level, and intersectoral interactions”. To make this accounting framework that can be applied to the majority of cities, a method for compiling input–output (IO) tables at the general prefecture-level city scale was proposed to obtain the needed core data. Dongguan, a prefecture-level city in Guangdong Province, China, known for its well-developed manufacturing industries but water scarcity, was chosen as a case study to test the effectiveness of the method. The results indicated the total water use in Dongguan decreased by 7.2% during 2012–2017, which benefited from steady economic growth. Besides, the “agriculture” sector has significantly higher direct water use coefficient than other sectors, while the indirect water use coefficient of the manufacturing sector exceeded the direct water use coefficient in 2017. In addition, there are two major virtual water flow paths among sectors in Dongguan, which are helpful to water conservation. The comprehensive water resources accounting framework proposed in this study for general prefecture-level cities is applicable to water resource management, enabling not only the optimization of water resource allocation in urban areas but also the reduction of environmental pollution and ecological damage. Nevertheless, it is still necessary to further optimize the compilation of IO tables and better support the formulation of specific water-saving measures in the future research by collecting more detailed industry data and import-export data. These results of this study can provide important practical reference information for water resource management in general-scale cities similar to Dongguan in the world.

Nonlinear symbolic regression for bit error rate prediction of NOMA systems in 5G cellular communications

Machine learning (ML) has been suggested as a promising tool in the design of telecommunication systems to overcome the challenges of traditional methods and meet the requirements regarding future cellular networks. As an enabler of 5G communications, Non-orthogonal multiple access (NOMA) has emerged to adaptively manage the existing resources and received huge attention in terms of performance analysis to confirm its efficiency in resource management. This work addresses the applications of nonlinear symbolic regression (NLSR) techniques to evolve mapping models for bit error rate (BER) prediction in the downlink NOMA systems with perfect and imperfect successive interference cancellation (SIC) receivers. In this regard, a multi-stage structure is proposed to evaluate the BER using the related inputs as well as the output of the previous stages for imperfect SIC signal decoding. Each step consists of an NLSR block with different inputs and an output, which inputs include the effective parameters and the output of the previous stages. Experimental results confirm that the NLSR techniques are able to establish modeling expressions with good prediction accuracy compared to other benchmark methods. In particular, these ML-based techniques overcome the limitation of the classical approaches in modeling a closed-form BER formula, especially for the NOMA systems with more than two users. In addition, this BER prediction tool can be utilized by the NOMA base station as new side information for more optimal resource management.

Phát triển dịch vụ thư viện số tại Học viện Ngân hàng

Developing digital library services is an inevitable requirement of university libraries in Vietnam. Efficiency of the library’s operations and learning resources by users depend on the quality of the digital library services. Employing qualitative methodology based on experience in building and developing digital library services, the article synthesizes models of management, organization and operation of library services, information resources, facilities, infrastructure, equipment and technology from some universities. The paper comprehensively analyzes the current status of digital library services, thereby proposing solutions to develop digital library services to implement the Banking Academy of Vietnam’s development strategy until 2030, vision 2045

Spatiotemporal Variations in Precipitation Forecasting Skill of Three Global Subseasonal Prediction Products over China

Abstract Subseasonal to seasonal (S2S) predictions, which bridge the gap between weather forecasts and climate outlooks, have the great societal benefits of improving water resource management and food security. However, there are tremendous disparities in the forecasting skills of subseasonal precipitation prediction products. This study investigates the spatiotemporal variations in the precipitation forecasting skill of three subseasonal prediction products from the CMA, ECMWF, and NCEP over China. Daily precipitation predictions with lead times ranging from 1 to 30 days and cumulative precipitation predictions over 1–30 days were evaluated in nine major river basins. The daily prediction skill rapidly declines with lead time. In contrast, the correlation coefficient between the cumulative precipitation predictions and corresponding observations increases at first and peaks at 0.7–0.8 after 3–5 days, then gradually decreases and settles at approximately 0.2–0.6. Among the three evaluated models, the ECMWF model demonstrates the best skill, maintaining a correlation coefficient of approximately 0.5 for 2-week cumulative precipitation. Moreover, the correlation coefficient of the model’s prediction is 0.2–0.5 higher than that of the climatological prediction over a large domain for the 30-day cumulative precipitation during the rainy summer. Similarly, the equitable threat score for forecasting below- and above-normal precipitation events presents good results in eastern China but is affected by biases of raw predictions. The variations in the subseasonal prediction skill at different time scales reveal the potential values of cumulative precipitation predictions. The findings of this study can provide practical information for applications that prioritize the long-term aggregation of hydrometeorological variables. Significance Statement The daily and cumulative precipitation prediction skills of three subseasonal prediction products were evaluated over China in this study. Our results reveal the spatiotemporal variations in prediction skill, especially with respect to time scale. Compared to daily precipitation predictions, cumulative precipitation predictions are more skillful, with correlation coefficients peaking at 0.7–0.8 after 3–5 days. These results can provide valuable information for water resource managers who are more concerned with the general conditions over a period than with hydrometeorological events occurring on a particular day. This study can guide end users in applying appropriate time scales to fully exploit numerical weather prediction information and satisfy their specific needs.

Spatio-Temporal Change of Land Use/Land Cover and Vegetation Using Multi-MODIS Satellite Data, Western Ethiopia.

Land use and land cover (LULC) change and variability are some of the challenges to present-day water resource management. The purpose of this study was to determine LULC and Normalized Difference Vegetation Index (NDVI) fluctuations in western Ethiopia during the last 20 years. The first part of the study used MODIS LULC data for the change analysis, change detection, and spatial and temporal coverage in the study region. In the second part, the study analyzes the NDVI change and its spatial and temporal coverage. In this study, The Moderate Resolution Imaging Spectroradiometer (MODIS) satellite data were applied to determine LULC and NDVI changes over four different periods. Evergreen broadleaf forests, deciduous broadleaf forests, mixed forests, woody savannas, savannas, grasslands, permanent wetlands, croplands, urban and built-up lands, and water bodies are the LULC in the period of analysis. The overall classification accuracy for the classified image from 2001 to 2020 was 85.4% and the overall kappa statistic was 81.2%. The results indicate a substantial increase in woody savannas, deciduous broadleaf, grasslands, permanent wetlands, and mixed forest areas by 119.6%, 57.7% 45.2%, 37%, and 21.3%, respectively, followed by reductions in croplands, water bodies, savannas, and evergreen broadleaf forest by 90.1%, 19.8%, 13.2%, and 4.8%, respectively, for the catchment between 2001 and 2020. The result also showed that the area's vegetation cover increased by 64% from 2001 to 2022. This study could provide valuable information for water resource and environmental management as well as policy and decision-making.

Analysis of Rainfall Characteristics in Kaduna State, Nigeria from 1999 – 2018

In the present time of changing climate, rainfall provides a vital information for effective agricultural and water resource planning and management. This study aimed at analyzing the rainfall characteristics in Kaduna state, Nigeria. Rainfall data of 20 years from 1999-2018 were obtained from the National Water Resource Institute Kaduna for the study. Walter’s 1967 formula was used to calculate the rainfall Onset and Cessation dates while the Seasonality Index was calculated using the Walsh and Lawler’s 1981 method. Results obtained revealed a decrease in trend for rainfall Onset and Cessation, Annual Rainfall amounts and also a negative trend in the Seasonality Index of the study area. While the Length of rainy season shows a positive trend for the reference period. The study suggests in-depth research in areas related to crop-climate relationship, so that variety of crops with optimum yield potentials will be cultivated in the area to feed the increasing population. This will help to avoid the risks of hunger and related food insecurity in the study area.

Compliance with Health Care Quality Standards in Government Accredited Hospitals in the Province of Albay

Global health systems operate within ever-evolving local and global environments, influenced by various factors, including economic shifts, demographic dynamics, and technological advancements, among other variables. A study was conducted to determine the Health Care Quality Standards among the government-accredited hospitals in the province of Albay. Specifically, it identified the status of Health Care Quality Standards in the Province of Albay along with Policies and Procedures, Services, Human Resources, Budget, and Logistical Resources. It determines the Health Care Quality Standards among the government-accredited hospitals in the province of Albay regarding Patient Care Management, Human Resource Management, Information Management, and Safe Practice and Environment. The quantitative method was used to gather responses from respondents. The respondents of the study are personnel from the top and middle management and selected patients in the three hospitals. Hence, the study revealed that the Health Care Quality Standards among the government-accredited hospitals in the province of Albay are complied with based on the requirements set forth by the hospitals among the four components. Thus, it ensures that health services are responsive to the needs of targeted individuals and communities and encourages the role of communities as co-producers of health. The study recommends a sustainable healthcare management framework to strengthen and sustain comprehensive healthcare services, thus improving the community's quality of life.

Efficient Management of Information Communication Technology Resources in an Organisation

This study focusses on the ongoing management of information and communication technology (ICT) resources in organisations. It begins by highlighting the main ideas discussed, including the definition of ICT resource management, its effects on effectiveness and productivity, cost optimisation, and security and risk reduction. The study illustrates the continuous nature of ICT resource management and underscores its importance in today’s rapidly changing technological environment. It emphasises the necessity for businesses to keep up with emerging technology and align their ICT infrastructure with evolving customer demands. Through ongoing management, organisations can uncover inefficiencies and opportunities for improvement, which enhance productivity and reduce costs. The study also underscores the significance of risk mitigation in ICT resource management, highlighting the need for robust security measures and vigilance against new threats. The study’s discussion of future trends in ICT resource management covers the use of cloud computing, the incorporation of automation and artificial intelligence, the opportunities and challenges presented by the Internet of Things, and the application of data analytics and predictive insights. These trends provide businesses with new options for efficiently allocating resources, increasing effectiveness, and wisely selecting ICT resources.

Quantitative analysis of recharge sources of different runoff types in the source region of Three River

This study systematically analyzed 2321 water samples to determine the spatiotemporal supply patterns of different runoff types in the source region of the Three Rivers from 2019 to 2021 using stable isotope tracing and endmember-element mixed runoff segmentation modeling. The results indicate that the δ18O and δD values of the tributary were more negative than those of the mainstream. The mainstream and tributary were primarily recharged by precipitation (61 %) and supra-permafrost water (53 %), respectively. Furthermore, with increasing altitude, the proportions of precipitation and glacial meltwater in the mainstream decreased and increased, respectively. Three river-water supply patterns were observed: (1) water was stored in glaciers and snow after solid precipitation events occurred, and the runoff was directly replenished by the melting of glaciers and snow; (2) various surface water bodies were mixed to recharge the supra-permafrost water, which replenished the runoff; and (3) lake water and wetlands were supplied by various surface water bodies, including surface runoff. These findings reveal the evolutionary mechanism of runoff in cold regions under climatic warming and provide crucial information for water resource management and sustainable development.

Spatial and temporal downscaling schemes to reconstruct high-resolution GRACE data: A case study in the Tarim River Basin, Northwest China

Climate change and excessive exploitation of water resources exert pressure on groundwater supply and the ecosystem in drylands. Although The Gravity Recovery and Climate Experiment (GRACE) satellites has demonstrated the feasibility of quantifying global groundwater storage variations, monitoring regional-scale groundwater has been challenging due to the coarse resolution of GRACE. Previous GRACE downscaling studies focused on develop new algorithms based on the perspective of pixel spatial correlation to improve resolution, which cannot better capture the temporal evolution of GRACE data effectively. In this study, we employ the semi-supervised variational autoencoder (SSVAER) algorithm and the multi-scale geographically weighted regression (MGWR) model to establish two different downscaling schemes: pixel temporal continuity downscaling and pixel spatial correlation downscaling. These schemes achieve spatial resolution downscaling of GRACE-derived groundwater storage anomalies (GWSA) from 0.5° to 0.1°. Additionally, the applicability of the PCR-GLOBWB model in drylands is verified. Furtherly, the spatiotemporal distribution patterns of GWSA are analyzed. The results show that (1) Both the temporal and spatial downscaling methods produced consistent results, with data correlations ranged from 0.94 to 0.98 observed in over 80 % of the range before and after downscaling; (2) The groundwater storage change rate in the northern Tarim River Basin (TRB) is 25 times greater than the model results, while in other regions, the average deviation is 2.6 times; (3) The two schemes enhance the correlation (0.27) between GWSA and groundwater level anomaly (GWLA) to 0.59 and 0.52, respectively, with a three-month lag in GWSA relative to GWLA. The temporal downscaling approach exhibited higher CC and lower RMSE, outperforming the spatial downscaling approach. The high-resolution results in this study can well complement groundwater level prediction efforts in arid regions and provide quantitative information for local water resource management.

Altering river flow impacts estuarine species and catches: lessons from giant mud crabs

Abstract Anthropogenic alterations to river flow could have repercussions for flow-dependent species downstream but few studies account for these dynamic relationships or quantify impacts of altered river flow. Scylla serrata—a widely distributed portunid crab—was used as an example of a flow-dependent species to model impacts of altered flow on species abundance and catch. Crab population dynamics were modelled across a large semi-enclosed tropical sea in northern Australia. Environmental drivers, primarily river flow, but also temperature and the Southern Oscillation Index were linked to crab dynamics to explain variability in historical catches. Catch and abundance could then be predicted under altered flow scenarios. River flow significantly improved the ability to explain historical catches for some regions but not all, and the strength of this relationship varied across catchments. Altered flows had negligible effects for perennial rivers but for ephemeral and temporally variable rivers, predicted decreases in abundance and catch ranged from 36 to 46% on average. Our modelling approach showcases a way to dynamically and rigorously quantify impacts of altered river flow on a key species with potential to help inform natural resource management, including policy decisions on the timing, quantity, and method of water removed from rivers.

Implementation of Delone & Mclean is Success Model as an Evaluation of Resource Management Information System at Dapoer Widya

This study aimed to analyze the steps contained in the updated model. The model includes six interrelated dimensions of information system (IS) success, namely system quality, information quality, service quality, user satisfaction, and net benefits. The research method used is an explanation with a quantitative approach. The type of research conducted is a survey, where data is collected through filling out questionnaires through Google Form. The data used in the study was collected between January and March 2023. The study sample consisted of 96 respondents who had filled out questionnaires. The results showed that hypothesis 1 was accepted, which showed that the quality of information had a positive effect on customer satisfaction, with a P-Values value of 0.012. However, hypothesis 2 was rejected, which showed that the quality of the system had no effect on customer satisfaction, with a P-Values of 0.185. Furthermore, hypothesis 3 is accepted, indicating that service quality positively affects customer satisfaction, with a P-Values of 0.000. Hypothesis 4 is also accepted, which shows that customer satisfaction positively affects net benefits, with a P-Values of 0.000.
 
 Keywords: net benefit, user satisfaction, information quality, service quality, system quality

Supply Chain and Logistics Management Concepts, Methodologies, Tools, and Applications By Information Resources Management Association

Supply Chain and Logistics Management Concepts, Methodologies, Tools, and Applications By Information Resources Management Association

Impacts of human activities and climate change on water and sediment evolution in four large subtropical river basins in China

Human activities and climate are two key factors affecting hydrological and soil erosion processes. Understanding their impacts on water discharge and sediment transport is very important for sustainable development of watersheds, particularly in subtropical regions with high precipitation and high sediment loads. We here compared the long-term dynamics of water discharge and sediment transport in four large contiguous watersheds in subtropical China and explored the importance of the main influencing factors including climate, nature endowment such as geology, and human activities. Significant differences have been observed between watersheds in terms of sediment and water discharge (p < 0.001). Pairwise comparison among the four basins demonstrated significant differences in sediment modulus among 5 of the 6 pairs (p < 0.05). The sediment modulus in the Lishui Basin was significantly higher than those in other basins, mainly due to the substantial presence of steep slopes in the mountainous region, which is prone to soil erosion. Temporally, sediment transport in the four basins was well synchronized showing significant decreasing trends with abrupt change points (p < 0.001). In contrast, no trends and abrupt change points were detected in water discharge, mainly influenced by precipitation. Human activities played a predominant role to the reduction of sediment transport (80% to 102%) compared with those of climate (-2% to 19%) across the four basins. Additionally, our study also showed land cover had various basin-independent impacts on the change of sediment transport. Through cross-basin comparisons of the long-term changes in water discharge and sediment transport, our study revealed the similarities and differences in their driving mechanisms, providing valuable information for land use planning and water resource management in large subtropical basins.

Age variability and decadal time-averaging in oyster reef death assemblages

Abstract Using paleoecological data to inform resource management decisions is challenging without an understanding of the ages and degrees of time-averaging in molluscan death assemblage (DA) samples. We illustrate this challenge by documenting the spatial and stratigraphic variability in age and time-averaging of oyster reef DAs. By radiocarbon dating a total of 630 oyster shells from samples at two burial depths on 31 oyster reefs around Florida, southeastern United States, we found that (1) spatial and stratigraphic variability in DA sample ages and time-averaging is of similar magnitude, and (2) the shallow oyster reef DAs are among the youngest and highest-resolution molluscan DAs documented to date, with most having decadal-scale time-averaging estimates, and sometimes less. This information increases the potential utility of the DAs for habitat management because DA data can be placed in a more specific temporal context relative to real-time monitoring data. More broadly, the results highlight the potential to obtain decadal-scale resolution from oyster bioherms in the fossil record.

Multivariate Drought Risk Analysis for the Weihe River: Comparison between Parametric and Nonparametric Copula Methods

This study analyzed the multivariate drought risks for the Wei River basin by characterizing the interdependence between the standardized precipitation index (SPI) and the standardized precipitation evapotranspiration index (SPEI). Both parametric and nonparametric copulas were adopted to quantify the dependence between the SPI and SPEI. The results indicated that the Gaussian copula demonstrated the best fit in most cases, while the nonparametric copula method showed superiority over the parametric models at only one out of eighteen meteorological stations. The joint return periods (TOR, TAND, and TKendall) were computed through copula modeling, providing valuable insights into the co-occurrence of extreme drought events. For the SPI and SPEI with a 50-year return period, the TOR values range from 25.5 to 37.9 years, the TAND values fluctuate between 73.4 and 1233 years, and the TKendall values range from 60.61 to 574.71 years, indicating a high correlation between the SPI and SPEI in the study area. The spatial analysis revealed varying patterns across the basin with some regions more prone to experiencing simultaneous drought conditions characterized by both the SPI and SPEI. Furthermore, our results indicated that the SPEI exhibited more severity in drought characterization than the SPI due to its consideration of temperature effects. The disparities in the spatial features of the SPI and SPEI underscore the importance of incorporating multiple meteorological factors for a comprehensive drought risk analysis. This research contributes to a better understanding of the drought patterns and their joint risks in the Wei River basin, offering valuable information for drought preparedness and water resource management.