Information System Capabilities Research Articles

Design and development features for domestic water consumption information system

It is our contention that research is relevant insofar as it addresses the issue of irrational water consumption by humans in their household activities. The development of a software product that offers monitoring and management of water consumption processes could help foster a more thoughtful approach to water. The paper presents a description of the functional capabilities of the corresponding information system and develops prototypes of the graphical user interface. The software product offers a number of functional capabilities, including the monitoring of water supply, consumption, and filtration systems. Based on current indicators of these systems’ states, it can also create recommendations. It is our hope that the developed information system will be scalable and able to be integrated with the “smart home” system.

Feasibility and effects of GIS-based municipal solid waste vehicle routing for Bahrain

<p>In the realm of waste management, efficient route optimisation for municipal solid waste (MSW) collection is becoming increasingly crucial, particularly for developing nations with budgetary considerations. This study leverages the capabilities of the geographic information system (GIS) and integrates the Dijkstra algorithm to enhance route optimisation for MSW vehicles in Bahrain. Utilising comprehensive local vehicle routing data from Urbaser and applying GIS methodologies, three distinct areas in Bahrain were methodically analysed. The results revealed a notable 55% reduction in travel distance, a 17% decrease in time, and a yearly fuel cost saving of 6405 BHD (16,974 USD) in the optimal scenario. Given these findings, the potential applicability of this optimisation algorithm extends beyond Bahrain, suggesting significant benefits for regions with similar challenges. To further refine this approach, the integration of real-time traffic data into the routing algorithm is recommended. Other additions to the optimization process could include additional parameters such as safety.</p>

A general method for multi–hazard intensity assessment for cultural resources: Implementation in the region of Eastern Macedonia and Thrace, Greece

The protection of cultural resources from natural and human–induced hazards has been an area of intense scientific interest over time. The literature highlights that, despite the intensive research efforts to date, there is a lack of a commonly accepted hazard assessment framework that supports decision–making to limit their negative effects and contribute to the protection of cultural heritage. In this paper a general method for assessing the intensity of multiple hazards on cultural resources is developed and applied. The proposed method utilizes a) the capabilities of Geographic Information Systems (GIS), b) open geospatial hazard data and c) an original 7–step integrated method developed in this research. Key features of the proposed method are its ability to consider and synthesize intensities of both quantitative hazards such as earthquake, flood and hazards expressed on a qualitative scale, such as wildfire and landslide. The proposed method is applied to assess the exposure of 918 cultural resources of the Region of Eastern Macedonia and Thrace, Greece, to earthquake, flood, landslide, sea level rise, wildfire, soil erosion and industrial–technological accident and develop an aggregate multi–hazard intensity index (mhii) for each of the cultural resources in this region. The proposed method can be applied to hazard intensity assessment for resources other than cultural, such as the human capital of a region, infrastructure, environment, and economic facilities. This provides researchers, scientists, and managers of cultural sites with a tool to set priorities for the design of appropriate mitigation strategies to reduce the negative impacts of hazards.

Disrupting the disruptor: The role of information systems in facilitating second-mover advantage

In the context of Digital Disruption (DD), early-mover advantages are usually shortlived. Conversely, "second-movers" may avoid market uncertainties and develop more effective business models. These second-mover advantages (SMA) are underpinned by Information Systems (IS), but their precise roles in facilitating SMA have not received adequate research attention to date.Based on a case study of Xbed, a successful second-mover in the Chinese accommodation sharing industry, we conceptualized IS-enabled SMA as a process that consists of three stages. Moreover, our study suggests that distinct combinations of strategies and IS capabilities should be employed in each stage toward the attainment of SMA.

Remote Working and Task Innovativeness – an Integrated Resource Based View and Antecedent-Behaviour-Consequence Perspective

AbstractIn response to the COVID-19 pandemic, organisations across the world have been adopting different strategies, including remote working (RW), to continue with their normal routines. However, little is known about the impact of RW strategy on task innovativeness, organisational performance, and employees’ continuance intention to remote work post-COVID-19. Using a variant of the resource-based view and the antecedent-behaviour-consequence models, data was collected from a total of 643 employees in the United Kingdom (UK) and Ghana; and analysed using structural equation modelling (Study 1). The results showed and confirmed a positive effect of RW strategy, information systems (IS) resource availability and capabilities on employees’ task innovativeness leading to improved organisational performance. Further, interviews were then conducted with 22 participants from Ghana and the UK (Study 2) to understand the reasons for the outcomes in Study 1. These provided a basis for employees’ continuance intention to remote work. The need to upgrade the current levels of IS resources to support job redesign and responsive workaround in times of uncertainty is highlighted for the consideration of businesses, organisations, and policymakers.

Diagnostic verification and routing of children with bronchial asthma using the current information system capabilities

Asthma is a heterogeneous, chronic, and recurrent inflammatory lung disease that also affects children. In recent decades, the incidence of bronchial asthma has been steadily increasing. In 2021, asthma affected 0.89% and 1.87% of Russian children aged 0–14 and 15–17 years, respectively; however, the prevalence of asthma according to official statistics is lower than the real data. Therefore, a significant proportion of patients do not receive proper treatment, which ultimately affects the quality of life of these patients and their parents. Early and accurate diagnosis of bronchial asthma and identification of children with an uncontrolled disease course will provide an opportunity to select/change therapy to achieve remission, thereby preventing possible negative consequences of the disease. In Moscow, according to Order No. 947n of the Ministry of Health of Russia, to improve the quality of medical services, including outpatient care, the Unified Medical Information and Analytical System (UMIAS) has been implemented, which has improved the availability and quality of medical services of public healthcare institutions in the city. This study proposes simple algorithms, and their integration into the UMIAS system will facilitate diagnosis verification for pediatricians and provide allergologists with tools for timely and structured routing of patients with uncontrolled bronchial asthma.

An Integrated GIS-Based Reinforcement Learning Approach for Efficient Prediction of Disease Transmission in Aquaculture

This study explores the design and capabilities of a Geographic Information System (GIS) incorporated with an expert knowledge system, tailored for tracking and monitoring the spread of dangerous diseases across a collection of fish farms. Specifically targeting the aquacultural regions of Greece, the system captures geographical and climatic data pertinent to these farms. A feature of this system is its ability to calculate disease transmission intervals between individual cages and broader fish farm entities, providing crucial insights into the spread dynamics. These data then act as an entry point to our expert system. To enhance the predictive precision, we employed various machine learning strategies, ultimately focusing on a reinforcement learning (RL) environment. This RL framework, enhanced by the Multi-Armed Bandit (MAB) technique, stands out as a powerful mechanism for effectively managing the flow of virus transmissions within farms. Empirical tests highlight the efficiency of the MAB approach, which, in direct comparisons, consistently outperformed other algorithmic options, achieving an impressive accuracy rate of 96%. Looking ahead to future work, we plan to integrate buffer techniques and delve deeper into advanced RL models to enhance our current system. The results set the stage for future research in predictive modeling within aquaculture health management, and we aim to extend our research even further.

Improving the operational efficiency of water desalination systems through the integration of GIS-SCADA

ABSTRACT The overlap of different fields has made it easy to introduce a real development of new technologies. New techniques used in the water sector are introduced; the importance of integration with each other will be increased to work as one unit with more efficiency and effectiveness. Integrating the real-time control of a supervisory control and data acquisition system (SCADA) and the data management and analysis capabilities of a geographic information system (GIS) can assist operators and decision-makers in disaster response and better system control. The objective of this paper is to evaluate the potential use of SCADA in conjunction with GIS to control and manage a water desalination plant network. The aid of the developed integrated system in the management of a water desalination system can be accessed on an interactive single dashboard for the network to simulate real situations through the data collected at each site that can be provided in real-time by SCADA, in addition to the results of analysis of these data that help to take the right decision and deliver the instructions thereon directly to the field devices to deal with any case of emergencies. In addition, this paper introduces an implementation approach of a new category of decision-support tools based on the integration of GIS and SCADA in implemented water desalination plants at the National Water Research Center (NWRC). A general review of both systems including their potentials in water desalination systems and the possibility of integration with each other has been introduced. This study demonstrates how integrating GIS and SCADA into a single dashboard can aid in data acquisition and provide a better understanding of the communication between the various sites and systems’ facility administration, despite the fact that such integration is uncommon because both systems use different IT platforms.

Audit sistem informasi pada pelayanan e-government pemerintahan desa menggunakan framework COBIT 5

Suboptimal e-government implementation can make it difficult for people to get the information they need, as well as causing data security vulnerabilities. This research examines the implementation of service information system audits related to e-government using the COBIT 5 approach at the Oro-Oro Dowo Village Office, Malang City. The aim of this research is to determine the level of capability of the e-government service information system and identify potential improvements in information technology. The methods used involve observation, interviews, literature studies, and questionnaires. The research results show that information technology and e-government governance has not been managed well. The maturity level for implementing COBIT 5 in sub domains APO 02, 04, 07, 13, and variable Y is level 3 established process with several areas that require more attention in an effort to increase system efficiency and security. Recommendations are given to improve information technology governance, as well as monitoring so that it can support the development of a better public service system at the sub-district level. This research provides insight into the potential for improvements in e-government service information system audits at the local level.

Enhancing Business Strategies with Advanced Location Intelligence Techniques: A Multifaceted Approach Using GIS and Python

This paper delves into the transformative impact of advanced location intelligence (LI) techniques on business strategy formulation across several critical areas, such as optimizing service coverage, determining strategic retail locations, planning network infrastructure, and analyzing market penetration. By harnessing the capabilities of geographic information systems (GIS) and Python for advanced analytics, we underscore the significance of LI in informing strategic decisions, elevating customer experiences, and achieving a competitive market edge. Our approach employs a holistic methodology that includes rigorous data quality checks, in-depth geospatial analysis, and detailed demographic assessments, enriched by practical case studies. This synthesis offers valuable, actionable insights for businesses aiming to leverage LI in strategic planning, thereby driving growth and operational efficiency.

The Concept of Factor Analysis in the Implementation of Law-Making Process in the Russian Federation as an Innovative Method of Research (Case Study of the Arctic Zone of the Russian Federation)

The paper offers some tools for modeling the prospects of social development through factor analysis as a method based on a mathematical analysis of the impact of various circumstances on the results of law making and law-enforcement activities, determining its effectiveness. The author coins the concept of «factor», which is a phenomenon accessible to human cognition (phenomenon-basis), causing and conditioning the emergence of another phenomenon (phenomenon-consequence); the possibility and ability to act from one state (stage) to another state (stage), or the actual sequential change of states in the development of something. The author identifies and classifies the basic factors (political, economic, social, spiritual) and indicator factors, which when interacting reveal the law-making factors as effective indicators. These factors are the interpreted conditions, causes, parameters that influence the law making and law-enforcement process and the actual result of this process; together they form a group of diagnostic indicators. These approaches are based on the established practice of implementing strategic planning documents adopted in the Russian Federation (general goal-setting; goal-setting according to the sectoral and territorial principle; forecasting; planning and programming), when target indicators and certain methods of their calculation are used as criteria for achieving the result of 51 state programs implemented in 8 directions. For the purposes of factor analysis in the implementation of law-making process, it is necessary to develop the capabilities of information systems. The author proposes a matrix of the factor system aiming at creating of a scientific image full with ideas as to the interaction of conditions (factors). On this basis, factor-modeling technologies are identified, their goals, types and main stages are determined, and an analysis of the legal framework governing relations in the Arctic zone of the Russian Federation is undertaken. The author proposes developing the Arctic Code of the Russian Federation. The proposed methodology can be used quite effectively to improve the law-making procedures.

DIGITAL METHODS AND TECHNOLOGIES OF FORMING AN INNOVATIVE LABOUR MARKET INFORMATION SUPPORT SYSTEM IN UKRAINE

Digitalization processes bring about radical transformations in the content and nature of work, leading to shifts in the demand for certain skills and abilities and the emergence of new occupations. Traditional survey-based sources of information about the labour market prove insufficient to track these changes for employment policy purposes. In this article, the authors reveal alternative data sources on the labour market, made possible due to the development of new digital technologies, and delineate their respective advantages and drawbacks. Additionally, the authors systematize international experiences in leveraging digital technologies and Big Data for statistical and information-analytical research on the labour market. Having analysed the leading research-analytical projects in the USA, Great Britain, and EU countries, the authors found them to be focused on constructing functional intellectual and analytical systems for the labour market. These projects aim to develop methodologies and promote widespread adoption of digital tools for working with Big Data, significantly expanding the capabilities of labour market information and analytical systems. The authors examined specific projects that used Big Data from online job vacancies to assess the demand and supply of jobs, as well as to analyse and forecast the requirements for skills and competences that would be feasible for adoption in Ukraine. Big Data from specialized online portals, servers and services were found to serve as powerful resources to supplement and enrich the existing conventional system of labour market statistics and analytics. Finally, the authors substantiate the need and expediency of creating a fundamentally new Labour Market Information and Analytical System (LMIAS) in Ukraine and coordinating it with labour market platforms in EU countries. They also identify a range of problematic issues that require in-depth research and resolution in Ukraine, such as ensuring the representativeness of online job vacancy data, improving the classifiers of occupations, abilities and skills, and introducing methods for integrating statistical, administrative, and Big Data on the labour market.

Climate and soil suitability zonation for Litchi (Litchi chinensis) in India using geo-science tool-based analytical hierarchy process

Litchi (Litchi chinensis) plantations in new areas without any land suitability assessment putting small farmers at risk of economic loss. The unique capability of the Geographical information system (GIS) for integration, analysis, and interpretation of spatial data has been leveraged for the identification, and mapping of potential litchi cultivation zones in India to help farmers and policymakers make informed decisions. Five climate-derived parameters including the number of days per year having a minimum temperature <12 °C (CumD-Tmin < 12), number of days per year having a minimum temperature <0 °C (CumD-Tmin < 0), number of days per year having a mean temperature <20 °C (CumD-Tmean < 20), highest daily maximum temperature (°C) (Thmax) and average annual rainfall (mm), and eight soil parameters viz. soil depth, clay content, slope, stoniness, drainage conditions, pH, electrical conductivity (EC), organic carbon were identified as suitability parameters. Geospatial data at a grid 0.1° × 0.1° of all the identified climate parameters and spatial layers of eight soil data were analysed using Arc-GIS 10.2. The analytical hierarchy process (AHP) was used for assigning relative weightage to the suitability parameters. Using the weighted sum of feature layers, a climate suitability map, a soil suitability map and finally a litchi cultivation potential zones (LCPZs) map were developed. The northward shift of the suitability zone is indicated under climate change projections. The new approach of identifying suitability parameters in relation to the plant’s requirement and its integration in GIS using AHP can be extended to other crops and regions.

The information system concept for thermal monitoring of a spent nuclear fuel storage container

The paper notes that the most common way of handling spent nuclear fuel (SNF) of power reactors is its temporary long-term dry storage. At the same time, the operation of the dry spent fuel storage facilities almost never use the modern capabilities of information systems in safety control and collecting information for the next studies under implementation of aging management programs. The author proposes a structure of an information system that can be implemented in a dry spent fuel storage facility with ventilated storage containers. To control the thermal component of spent fuel storage safety, a database structure has been developed, which contains 5 tables. An algorithm for monitoring the thermal state of spent fuel was created for the proposed information system, which is based on the comparison of measured and forecast values of the safety criterion, in which the level of heating the ventilation air temperature was chosen. Predictive values of the safety criterion are obtained on the basis of previously published studies. The proposed algorithm is an implementation of the information function of the system. The proposed information system can be used for effective thermal monitoring and collecting information for the next studies under the implementation of aging management programs for spent fuel storage equipment, permanent control of spent fuel storage safety, staff training, etc.

Quality metrics in non-gynecologic cytology: results from the 2022 American Society of Cytopathology survey.

Rapid advancements in minimally invasive techniques and the discovery of molecular biomarkers have resulted in major changes in the practice of non-gynecologic cytology and have highlighted a need for novel quality assurance (QA) metrics. To obtain data regarding the current and desired usage, methods of collection, and barriers to the implementation of non-gynecologic cytopathology QA, an 18-question survey was constructed by the Clinical Practice Committee of the American Society for Cytopathology. A total of 206 responses were received. Respondents included 112 (54.4%) cytopathologists, 81 (39.3%) cytotechnologists, and 13 others. Almost all (97%) acknowledged the value of assessing QA metrics in cytology. The most commonly used QA metrics were cytotechnologist-pathologist diagnostic agreement and pathologist amendment rates. The desire to implement non-gynecologic QA metrics was significantly higher among academic hospitals, relative to nonacademic facilities. A combined manual and electronic approach to collect QA data was generally used (70% of institutions). QA metrics were more often collected by the cytology laboratory supervisors (59.5%), while the evaluation was most often performed by the cytology laboratory director (76.5%). Limited staffing and laboratory information system (LIS) capabilities were cited as major challenges in the implementation of novel QA metrics. While the collection of quality data might be perceived as an onerous task, a thoughtful selection of quality indicators, with an inbuilt search option in LIS, can contribute to the successful implementation of non-gynecologic QA metrics.

Evaluasi Kapabilitas Sistem Informasi Pasien ICU dan HCU Menggunakan COBIT 5 dengan Domain BAI

The hospital's Intensive Care Unit (ICU) and High Care Unit (HCU) systems are very important systems and are always used, so it is necessary to know the extent of their performance. Thus, the study aims to provide reference for xyz hospital regarding the condition (performance) of the current ICU and HCU patient systems. COBIT 5 is an information system capability evaluation framework with the build, acquire and implement (BAI) domain. Domain BAI focuses on developing, acquiring, and implementing information systems, applications, and services. It covers the entire IT project life cycle, starting with the planning and requirements gathering phases and continuing through the design, development, testing, and deployment phases. This study also uses qualitative approach with literature studies and quantitative approach for data analysis to measure capability level. Research respondents were heads and staff from the IT, ICU, and HCU divisions. The results of this study describe the level of capability achieved by hospitals in the BAI Domain, with an average score of 3.30 at the established level. This level illustrates that the application of information technology can achieve process results that are in accordance with the wishes of raft xyz management. This stage also illustrates that the xyz hospital has an information technology process that has been standardized thoroughly to achieve all processes. The results of this evaluation can also be guideline for the xyz raft house to make improvements and improve the performance of the ICU and HCU patient systems in meeting the needs of intensively treated patients.

Recent Development on Information System Capabilities and Sustainable Competitive Advantages: A Research Model, Review and Directions for Future Research

In today's competitive environment, maintaining a competitive advantage to achieve high performance is a significant challenge for businesses. To succeed, organizations must not only develop competencies in their focus areas but also be able to adapt, change, and realign those competencies in a dynamic and competitive corporate environment. As a result, information system (IS) capabilities are growing in significance as a strategic element that supports the development of competitive advantages and organizational survival. By examining the gap from the prior research, this study intends to answer questions about the link between information system (IS) related capabilities and the sustainable competitive advantages of an organization. The dimensions of information system capabilities (Personnel capability, Administrative capability, Infrastructure capability, and Information management capability) are factors that could explain a firm's sustainable competitive advantage and the theory of dynamic capability is used as the guiding theory, as guidance, and to support the conceptual framework. This will clarify how firms may use their resources and capabilities to boost the effectiveness and utilization of information systems (IS) in daily operations, processes, and people's performance.

GIS-based calculation method of surge height generated by three-dimensional landslide

Combined with the spatial data processing capability of the Geographic Information Systems (GIS), the Pan Jiazheng method is extended from two-dimensional (2D) to three-dimensional (3D), and a 3D landslide surge height calculation method is proposed based on grid column units. First, the data related to the landslide are rasterized to form grid columns, and a force analysis model of 3D landslides is established. Combining the vertical strip method with Newton's laws of motion, dynamic equilibrium equations are established to solve the surge height. Moreover, a 3D landslide surge height calculation expansion module is developed in the GIS environment, and the results are compared with those of the 2D Pan Jiazheng method. Comparisons showed that the maximum surge height obtained by the proposed method is 24.6% larger than that based on the Pan Jiazheng method. Compared with the traditional 2D method, the 3D method proposed in this paper better represent the actual spatial state of the landslide and is more suitable for risk assessment.

Efficiency and Capability of Remote Sensing (RS) and Geographic Information Systems (GIS): A Powerful Tool for Sustainable Groundwater Management

Efficiency and Capability of Remote Sensing (RS) and Geographic Information Systems (GIS): A Powerful Tool for Sustainable Groundwater Management

Effectiveness and Capability of Remote Sensing (RS) and Geographic Information Systems (GIS): A Powerful Tool for Land use and Land Cover (LULC) Change and Accuracy Assessment

Effectiveness and Capability of Remote Sensing (RS) and Geographic Information Systems (GIS): A Powerful Tool for Land use and Land Cover (LULC) Change and Accuracy Assessment