Information System Capabilities Research Articles

Экспертная оценка индикаторов и показателей для разработки модели цифровой зрелости первичной медико-санитарной помощи.

The research is devoted to the development of a model of digital maturity of primary health care in the Russian Federation. Through expert evaluation, key indicators and indicators of digital maturity were identified, which made it possible to create a comprehensive model for assessing the digital development of medical organizations. The main attention is paid to the functional capabilities of medical information systems and information and communication technologies that ensure high quality and accessibility of medical care. Aim: to conduct an expert assessment of indicators and indicators for the development of a model of digital maturity of primary health care. This includes an analysis of existing indicators, identification of key indicators, their classification and assessment of significance for the formation of an objective model for assessing the digital maturity of medical organizations. Materials and methods. For a systematic assessment of the digital maturity of primary health care, a questionnaire was developed containing 6 indicators and 52 indicators reflecting various aspects of the digital maturity of the subjects of the Russian Federation. Regulatory documents, methodological guidelines and recommendations from experts in the field of medicine and information technology were studied. Experts assessed the importance of each indicator on a scale from 0 to 10 points, and the results of the assessments were classified to form the final model. Results. The expert assessment showed that the functionality of the medical information system is evaluated higher than the equipment of information and communication technologies. Key indicators, such as access to research results and telemedicine consultations, received high marks, indicating their importance for the digital maturity of medical organizations. The recommendations include updating the digital infrastructure, developing the functionality of the medical information system and improving the level of training of medical personnel. Conclusions: the study showed that in order to achieve a high level of digital maturity of PHC, it is necessary to pay attention to both the technical equipment and the development of the IIA functionality. An integrated approach, including updating the infrastructure and improving the digital literacy of medical personnel, will significantly improve the quality and accessibility of medical care. The proposed recommendations can serve as a basis for further planning of measures to increase the digital maturity of primary health care in the Russian Federation.

An Integrated Event-Driven Real-Time Tactical–Operational Optimization Framework for Smart Port Operations Planning

The ongoing issues in global supply chain disruptions have raised many concerns of port productivity, among which port congestion is a key issue. This article implements an integrated tactical–operational optimization framework which raises the capabilities of port information systems to deliver smarter decision-making processes in ports through a decision support system. To this end, we developed a library of multiple smart models for the optimization of port operations, independently engaged in parallel but mathematically coordinated to achieve autonomous real-time distributed optimization, using a novel event-driven structure to enable future implementations using digital twins. The framework was tested to benchmark different commercial solvers on several real instances for the port under study. The results show a strong improvement in port operational planning.

Artificial intelligence and information systems capabilities for supply chain resilience: A study in the South African fast-moving consumer goods industry

Artificial intelligence and information systems capabilities for supply chain resilience: A study in the South African fast-moving consumer goods industry

Organization of the cross-border marketing center: functions, tasks and areas of activity

Organization of the cross-border marketing center: functions, tasks and areas of activity

Accelerate the Promotion and Application of Commercial Cryptography Technology in The Automotive Industry

With the acceleration of the intelligent and networked process of the automobile industry, the problem of information security has become increasingly prominent. As the core guarantee means of information security, the promotion and application of commercial cryptography technology in the automobile industry is particularly important. In this paper, the application status and challenges of commercial cryptography technology in automobile industry are comprehensively analyzed, and the relevant strategies for promotion and application are put forward. By strengthening policy guidance, improving technological innovation capacity, promoting standardization construction and strengthening industry cooperation and exchanges, the aim is to accelerate the popularization and application of commercial cryptography technology in the automotive industry and improve the security protection capability of automotive information systems. The research of this paper is of great significance for promoting the construction of information security in automobile industry and promoting the rapid development of commercial cryptography technology.

Evaluating Environmental Justice and Public Housing in a Data-Rich Era

We examined the spatial concentration of public housing, demographic indicators of low socioeconomic status, and environmental locally unwanted land uses (LULUs) in eight populous U.S. cities. Using the updated EJScreen database and its geographic information systems capabilities, we, as expected, found subsidized housing to be disproportionately colocated in areas with poor and underserved residents. Underground storage tanks and high traffic density were consistently associated with the location of public housing, whereas Superfund sites were located near public housing in only half of the cities in the study. Increasing our understanding of the variables typically used to measure environmental and social justice is important to expand the discussion around a broader set of environmental measures that might be more relevant to the communities that live near them without ignoring the traditional ones that have marked the early legacy of the environmental justice movement.

Personnel security of economic entities: Condition control using management information systems

Subject. This article discusses the issues of control over the condition of personnel security as a part of the general security system of an economic entity. Objectives. The article aims to conduct a critical review and develop an original definition of the Personnel Security concept, evaluate the developed systems of indicators used for monitoring and assessing personnel security, analyze the main modern information systems of personnel management and highlight their positive and negative characteristics, and analyze the capabilities of personnel management information systems as an information base for monitoring the condition of personnel security of an economic entity. Methods. For the study, we used analysis and synthesis, induction and deduction, grouping, and comparison. Results. The article presents the results of a review of the definitions of personnel security and offers the author-developed definition of personnel security of economic entities. It systematizes the characteristics of various information systems of personnel management and analyzes the possibilities of using them as an information base for monitoring the condition of personnel security of an economic entity. Conclusions and Relevance. At present, there is no unified approach of scientists to the definition of Personnel Security, as well as to the composition of indicators that are necessary to control the condition of personnel security and the personnel element of the economic security system of any economic entity. A critical assessment of the composition of indicators necessary for the control of personnel security shows that it is not an inert and static system, the indicators are mobile and dynamic for each economic entity. The set of these indicators depends on the specific institution, its organizational and legal form, the reporting period, external and internal environmental conditions, etc. The results obtained can form the basis for further development of ideas about the control and assessment of personnel security, as well as economic security for making informed and effective management decisions.

Managing big data and blockchain for enterprise internationalization process: Mediating role of dynamic accounting system capability

Abstract This study develops and confirms a model that examines the relationship between Big Data Analytics Capabilities (BDAC), Blockchain Technology (BT), and Internationalization Process (IP). It also requires various efforts to explore how Dynamic Accounting Information System Capability (DAISC) mediates the interconnections between BDAC, BT, and IP. This study focuses on small and medium enterprises (SMEs) in Vietnam, which are widely recognized as crucial to the Vietnamese economy. The current research utilized the hypothetico-deductive method. The proposed model's hypothesized linkages were based on a comprehensive evaluation of relevant literature and investigations. The statistics database was created using a paper-and-pencil survey distributed to 612 accountants in SMEs in southern Vietnam utilizing the convenient and snowball sampling technique. A covariance-based structural equation modelling approach was used to assess the measurement and structural models in this research due to its ability to offer a strong foundation for analyzing intricate linkages within a research framework. The outcome confirmed the significant and positive relationships between BDAC, BT, and IP. Concurrently, these relationships were partially influenced by DAISC. The practitioners would greatly benefit from detailed insights on the findings, as they would provide guidance on how to identify and take advantage of the growth opportunities afforded by digital technology. Moreover, the observations could provide policymakers with new insights on necessary policy measures to support the application of digital technologies and encourage the implementation of a dynamic accounting information system, which could result in significant benefits in the future.

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.

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.

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.