Information Support System Research Articles

Spatial Big Data and Analysis Strategies Supporting Geographic Information System for Transportation (GIS-T) in Conceptual Design, Modelling, and Decision-making: A Review

Abstract. Transportation is a key component in urban design for cities’ efficiency and residents’ life quality, and GIS has the capability of handling data management, model design, and scientific decision-making for transportation studies. This article reviews how spatial big data and analysis strategies help GIS-T studies from the phases of conceptual design, modelling, and decision-making. In this research, we firstly summarized categorizes of data objects and relevant information for real-world issues from transportation applications in the conceptual design phase. In the modelling phase, optimization strategies for transport planning and accessibility measures through network data were also summarized. Finally, we reviewed spatial analysis methods in supporting transport decision-making, and how spatial methods take advantage of geography features of transport variables in previous studies. Our research primarily focuses on geography research with transportation topics as applications, and this work can help transport experts to have a better understanding of GIS values for transportation modelling and planning.

Development of a Decision Support Information System for the Regulation of Consumer Goods in the Agricultural Sector

Development of a Decision Support Information System for the Regulation of Consumer Goods in the Agricultural Sector

PECULIARITIES OF INFORMATION AND ANALYTICAL SUPPORT IN DECISION-MAKING WITHIN GOVERNMENT BODIES

The modern world is increasingly entering the era of an information society, where the role of information becomes ever more significant. Information is accumulating rapidly and in large volumes, so quickly that people struggle to process and thoroughly comprehend the incoming information flow, leading to an overall reduction in usable information. In order to process relevant data effectively in the context of professional or other activities today, it is no longer sufficient to rely solely on traditional administrative experience to make informed management decisions. It is essential to incorporate scientific knowledge, comprehensive awareness, analytical and forecasting skills, as well as socio-political responsibilities, with an appropriate recognition of these processes. This is particularly relevant for public administration bodies—both central and regional levels of executive state power—and increasingly for local government authorities, which are gaining more authority as part of the decentralization process. In Ukraine, in particular, the ideology and framework for interaction between the state and society are changing, with an increased use of decentralization mechanisms that delegate specific functions and powers from state bodies (to varying degrees) to the level of territorial communities and even to civil society. The purpose of this article is to define the peculiarities of information and analytical support in the decision-making process within government bodies. The article systematizes approaches to information and analytical support in public administration. It identifies the subjects and objects of the information and analytical support system in state management processes and specifies the goals of such support. It justifies the need to highlight the key elements of the information and analytical support system for public administration. The article also outlines the principles guiding information and analytical activities conducted by government and local authorities. Levels of information and analytical work are established, taking into account the temporal dimension. Furthermore, the article identifies issues with information and analytical support in government bodies in Ukraine and suggests ways to address these challenges.

Web search results processing in an information support system for decision-making processes

Objectives. The problem of the web search results processing in an information support system for decision[1]making is solved in order to create and correct a meaningful description of a problem situation. An approach to solving this problem is proposed based on the use of thematic text corpora (collections of texts on a specific topic) as knowledge about the subject area, as well as a knowledge representation model based on verbal associations. When solving problems of the web search results processing in a decision-making information support system, five main goals are pursued: the formation of an extended description of a problem situation, the synthesis of a search prescription, an Internet search for information about decisions made, the synthesis of a retelling of the information found, and an assessment of the quality of the found analogues of the decisions made.Methods. Methods of set theory, graph theory and mathematical linguistics are used.Results. A mathematical model has been developed for the web search results processing in an information support system for decision making. The concepts of verbal association of words and texts, as well as pragmatically complete lexical structure, are formalized. The proven properties of such structures provide algorithmization of information processes in the model under consideration.Conclusion. The approach to modeling is based on the formalization of the concepts of the informativeness of words, sentences, texts and the informativeness of verbal associations between them. As an implementation of the model proposed in the article, algorithms have been developed for creating a dictionary of pragmatically complete lexical structures, creating structural-lexical templates for sentences, texts and subject areas, synthesizing a brief retelling of the information found, and assessing the quality of the found analogues of the decisions made.

Accounting, Analytical and Information Support for Law Enforcement Activity in Conditions of Ensuring Economic Security in Public Administration

Objective: The objective of this study is to develop an effective model of accounting, analytical, and information support for law enforcement activities in ensuring economic security amidst strong turbulence in the external environment. Theoretical Framework: This research is anchored in the principles of economic security and law enforcement support systems. It utilizes the IDEF0 model as the primary theoretical framework to analyze and structure the accounting, analytical, and informational processes that underpin effective law enforcement in volatile conditions. Method: The research methodology employs the IDEF0 model to construct a comprehensive framework for the accounting, analytical, and information support systems specific to law enforcement activities. Results and Discussion: he study successfully resulted in a detailed decomposition of the IDEF0 model, highlighting innovative ways to bolster the accounting, analytical, and information support for law enforcement. These results are contextualized within the broader framework of maintaining economic security in turbulent environments, underscoring the adaptability and robustness of the proposed model. Research Implications: The practical and theoretical implications of this research are significant for policymakers and law enforcement agencies. The model provides a strategic foundation for enhancing economic security frameworks, which is crucial for adapting to and thriving in dynamic external conditions. Originality/Value: This study contributes original insights into the application of the IDEF0 model in a law enforcement context, particularly in scenarios characterized by significant economic turbulence.

An Industrial Internet-of-Things (IIoT) Open Architecture for Information and Decision Support Systems in Scientific Field Campaigns.

Information and decision support systems are essential to conducting scientific field campaigns in the atmospheric sciences. However, their development is costly and time-consuming since each field campaign has its own research goals, which result in using a unique set of sensors and various analysis procedures. To reduce development costs, we present a software framework that is based on the Industrial Internet of Things (IIoT) and an implementation using well-established and newly developed open-source components. This framework architecture and these components allow developers to customize the software to a campaign's specific needs while keeping the coding to a minimum. The framework's applicability was tested in two scientific field campaigns that dealt with questions regarding air quality by developing specialized IIoT applications for each one. Each application provided the online monitoring of the acquired data and an intuitive interface for the scientific team to perform the analysis. The framework presented in this study is sufficiently robust and adaptable to meet the diverse requirements of field campaigns.

Analysis of Current Trends in the Dynamics of Material Damage from Emergencies in the Southern Federal District and Its Regions

The dialectic of the development of socio-economic objects includes the periodic occurrence in the process of such development of various emergency situations (emergencies), perceived by society as random phenomena with very severe economic consequences. Such a random nature makes it difficult to perceive them as specific processes, as well as their economic assessment, as well as the development of measures to prevent and reduce negative consequences. The article reflects a study on the use of statistical data to identify trends in the development of emergency situations and the severity of their economic consequences in the Southern Federal District of Russia. She presents the opportunities that open up for emergency management bodies and also makes outlines for the creation of a methodology for working with statistical data that could be used to create a special information and reference system for information support of the emergency management process. Such a process approach makes it possible to understand trends, give them an economic interpretation, as well as develop effective ways to prevent the occurrence and mitigate overcoming. So far, such scientific and information tools are not actively used in practice, although with their application it would be possible to have a complex, dynamically developing picture.

Conceptual Aspects of Accounting Transformation in the Context of the Imperatives of Sustainable Development

In the modern world, the tendency to increase the importance of the principles of sustainable development is becoming more and more stable. The growing public awareness of the need to achieve sustainable development goals causes increased pressure on businesses to disclose information about their impact on society and the environment. This circumstance increases the need for companies to be accountable and expand their accounting and analytical work. This contributes to the objective expansion of the tasks of the information and analytical support systems in companies, including the accounting system. The purpose of this study is to assess the impact of the increasing need for general accountability on the development of accounting systems, thus emphasizing the need to take into account the sustainable development of the company. This study considers accountability as one of the most important tasks of transparent business functioning as well as a necessary condition for achieving sustainable development goals. The article proves the thesis that accounting methods should be developed to form, summarize, and analyze information about initiatives, processes, and the use of resources to increase the sustainability of the company’s development and to meet the requirements of key stakeholder groups, including in the direction of the impact of business decisions on society and the environment.

Стратегічні пріоритети формування економічної безпеки і диджиталізації управлінської звітності для розвитку малих форм господарювання на сільських територіях

The article is dedicated to examining the fundamental strategic priorities for developing managerial reporting in the context of economic security for small-scale enterprises in rural areas, considering the growth of agribusinesses in Ukraine and worldwide. It has been demonstrated that integrating digitalization into managerial accounting significantly improves the efficiency of the information support system for agricultural enterprises. Approaches have been proposed to establish optimal managerial reporting for small-scale enterprises in rural areas. It is noted that implementing digital technologies in reporting dramatically enhances the transparency and accuracy of financial operations, allowing for the timely identification of financial risks and the prevention of undesirable losses, thereby maintaining the economic security of agribusiness enterprises. Small enterprises in rural areas, which are limited in resources and opportunities for obtaining credit or external investments, can. However, they leverage digitalized reporting systems to improve their financial reliability when collaborating with potential investors and creditors. Moreover, the digitalization of managerial reporting facilitates the optimization of management processes, allowing for more rational planning of the enterprise’s available resources. To this end, we analyzed data from a sheep farming enterprise. In calculating economic indicators in managerial reporting, a developed format for digitalized accounting and reporting information is presented for small-scale enterprises involved in sheep farming. The decrease in the number of sheep and the productivity of products (milk and wool) by 4% from the planned volumes relates to the low quality of fodder, which directly affected the economic results of the agrarian business enterprise. At the same time, the actual revenues of the enterprise turned out to be 4.2% lower than planned due to the fall in the wool market and a slight decrease in revenues from the sale of dairy products. The conclusion is drawn that further implementation of digitalization in accounting processes is advisable to reduce bookkeeping costs. It is substantiated that, in the context of globalization and the digital transformation of markets, the digitalization of accounting procedures is an integral element of the development of management systems, ensuring their adaptability to the challenges of the modern economy. Keywords: agrarian business, strategic priorities, economic development, small businesses, international business, rural areas, enterprise, digitalization, management reporting, economic security.

It's not just about the sun, it's about a living: Rural older farmers' experience of skin cancer risk and prevention.

To understand rural older farmers' perspectives and attitudes toward skin cancer risk and prevention. This study used a grounded theory approach and semi-structured interviews with 12 rural older farmers (farm owners, farmworkers ages 50 years or older) in Washington. Participants' perspectives were explored relative to Health Belief Model constructs. Inductive and deductive analyses were used to generate relevant themes. COREQ guidelines were followed. The findings fit well and extended the Health Belief Model, which was used to arrange key themes identified in relation to skin cancer risk and prevention, specifically participants' perceived barriers to accessing primary care and protection when outdoors, perceived benefits of sun-protective behaviors, perceived hereditary susceptibility to skin cancer, perceived severity of the increased skin cancer risk, and cues to action for skin checks. A new construct of hope was identified to emphasize the importance of establishing emotional, instrumental, and informational support systems for promoting skin cancer prevention. Participants also indicated their hope of raising awareness of skin cancer prevention among all ages. Findings highlighted the importance of integrating skin cancer prevention services for rural older farmers and across the lifespan. Public health approaches are needed to enhance the awareness of and access to preventive care in these underserved populations.

Signals of Transition in Support Systems: A Study of the use of Social Media Analytics in Crisis Management

In crisis informatics, little attention is placed on how transitions occur between periods of crisis and non-crisis. The analysis of transition behaviors in public organizations could help in understanding the duality between the need for continuity of services provided to the community, and the cyclical nature of risk and crisis management. This study uniquely highlights the transitions occurring when organizations need to stop day-to-day activities to focus on responding to a crisis while continuing to provide services to their communities. We focus on the use of social media analytics as a support system to study transitions and, with the objective to gain an insight into how sociotechnical systems navigate through periods of crisis and non-crisis, we leverage individual experiences of use of social media as a source of information in public service organizations and developers of social media analytics support tools. In doing so, we employed a process study approach, conducted semi-structured interviews, and used thematic analysis to trace patterns of transitions between crisis and non-crisis states. Furthermore, we formulate five signals that public organizations exhibit to illustrate and guide organizational transition behaviors. The main contribution of this study is the explanation and conceptualization of how transitions happen by framing social media as a support information system. In addition, we highlight the return to a new steady state, an overlooked area of organizational transitions and continuity. Our study will help streamline processes of continuity in organizations and inspires the design and improvement of current and future support systems. Future research could apply and extend our propositions to other support systems such as geospatial technologies, robots, and even artificial intelligence.

System of Cyclo-Long Time Information Support in the Field of Acoustics

System of Cyclo-Long Time Information Support in the Field of Acoustics

Digitalization as a guarantee of the right to environmental information

The article is devoted to the study of the legal framework for the use of information technologies as a component of the legal mechanism for realization of the right to environmental information. The author notes that in forming the legal framework for digitalization of environmental relations, the need to use digital technologies to create conditions for universal accessibility of environmental information and to raise environmental awareness is crucial. The author emphasizes that digitalization is at the same time a guarantee of the constitutional right of citizens to have access to information on the state of the environment. A systematic analysis of the legal provisions which form the basis for the digitalization of environmental impact assessment and strategic environmental assessment and which serve as guarantors of the right to environmental information is carried out. The author emphasizes the need to improve the State system of environmental monitoring and information support of public administration. The article examines the service of recording the facts of environmental damage caused by emergencies, events, and armed aggression of the Russian Federation “EcoThreat”, which aims at recording the facts of environmental damage to the environment not only for prompt response, forecasting, management decision-making, reporting and planning regarding the recorded facts of environmental damage, as well as to ensure that citizens can exercise their rights in terms of free access to up-to-date information on recorded facts of damage to the environment as a result of emergencies, events, and armed aggression of the russian federation. It is summarized that the significant potential of digital technologies for social development is important for ensuring public access to the environmental sphere, expanding cooperation of civil society with public authorities and business, opening up new opportunities for the realization of environmental rights and meeting the environmental needs of citizens, and ensuring an improvement in the quality of the environment and the range of public services.

Care models for individuals with chronic multimorbidity: lessons for low- and middle-income countries

BackgroundPatients with multiple long-term conditions requires understanding the existing care models to address their complex and multifaceted health needs. However, current literature lacks a comprehensive overview of the essential components, impacts, challenges, and facilitators of these care models, prompting this scoping review.MethodsA scoping review was conducted in accordance with the Preferred Reporting Items for Systematic Review and Meta-analysis Extension for Scoping Reviews guideline. Our search encompassed articles from PubMed, Web of Science, EMBASE, SCOPUS, and Google Scholar. The World Health Organization’s health system framework was utilized to synthesis the findings. This framework comprises six building blocks (service delivery, health workforce, health information systems, access to essential medicines, financing, and leadership/governance) and eight key characteristics of good service delivery models (access, coverage, quality, safety, improved health, responsiveness, social and financial risk protection, and improved efficiency). Findings were synthesized qualitatively to identify components, impacts, barriers, and facilitators of care models.ResultsA care model represents various collective interventions in the healthcare delivery aimed at achieving desired outcomes. The names of these care models are derived from core activities or major responsibilities, involved healthcare teams, diseases conditions, eligible clients, purposes, and care settings. Notable care models include the Integrated, Collaborative, Integrated-Collaborative, Guided, Nurse-led, Geriatric, and Chronic care models, as well as All-inclusive Care Model for the Elderly, IMPACT clinic, and Geriatric Patient-Aligned Care Teams (GeriPACT). Other care models (include Care Management Plus, Value Stream Mapping, Preventive Home Visits, Transition Care, Self-Management, and Care Coordination) have supplemented the main ones. Care models improved quality of care (such as access, patient-centeredness, timeliness, safety, efficiency), cost of care, and quality of life for patients that were facilitated by presence of shared mission, system and function integration, availability of resources, and supportive tools.ConclusionsCare models were implemented for the purpose of enhancing quality of care, health outcomes, cost efficiency, and patient satisfaction by considering careful recruitment of eligible clients, appropriate selection of service delivery settings, and robust organizational arrangements involving leadership roles, healthcare teams, financial support, and health information systems. The distinct team compositions and their roles in service provision processes differentiate care models.

Perceived Quality of Information System Support Service of an Education Institution and Its Relationship with the Users’ Characteristics

Perceived Quality of Information System Support Service of an Education Institution and Its Relationship with the Users’ Characteristics

Research on the Establishment of Poverty Identification System for College Students under the Background of Big Data

The work of college student financial aid is an important part of talent cultivation in higher education. Combining big data with the identification of impoverished college students and constructing an evaluation system for the identification of impoverished college students based on big data can accurately identify impoverished college students. Based on the concept of financial aid under the background of big data, this paper analyzes the feasibility and necessity of constructing an evaluation system for the identification of impoverished college students, constructs an index system for the identification of impoverished students based on big data, builds a dynamic information support system with the help of big data technology, and constructs the guarantee conditions for accurate identification of impoverished students. It gives full play to the synergy between financial aid and big data information technology, and continuously improves the effectiveness of financial aid in colleges and universities.

Bicycle riding environment identification for detecting traffic violation in a riding safety support information system

This paper proposes a method for identifying the bicycle riding environment using only onboard equipment. Initially, a fundamental subsystem is established for identifying the bicycle riding environment, and its functionality is validated. The findings indicate that the subsystem, utilizing an open-source trained model, can detect riding on roadways but not on sidewalks. Consequently, we emphasize the need for transfer learning, specifically using sidewalk viewpoint images, to enable the identification of bicycle riding environments. Subsequently, we conduct bicycle riding environment identification by employing a transfer learning model with manually labeled training data. The results demonstrate that after transfer learning, sidewalk riding detection, which was previously unachievable, becomes feasible. The identification rate was over 80%. Furthermore, we develop four riding environment identification algorithms, including the transfer learning model, and compare their performance across various road environments and riding conditions. Consequently, it is established that the region of interest (ROI) extension identification algorithm exhibits the highest identification performance (93% on average). As a result, this paper contributes valuable insights into the realization of bicycle riding environment identification, particularly in the context of detecting traffic violations within the riding safety support information system.

Debt Accounting System Analysis in Accounting Information Systems

The Debt Information System and Accounting Information System support and collaborate with each other to ensure that the company's financial information is well managed, regulatory compliance is maintained, and the right business decisions can be taken. This research uses a literature study method with the data used is secondary data. The research results show that the Debt Accounting System and the Accounting Information System are interrelated in processing and producing financial reports, especially in this case company debt. This is also supported by the sophistication of information technology, user capabilities, user participation, and top management support.

Удосконалення методу оцінки програмного забезпечення контролю параметрів транспортних засобів

The purpose of the conducted research is to improve the method of evaluating the performance of the vehicle parameter control software. It is stated that a new technique for road transport in the field of monitoring its working condition is the creation of information systems for organizational and functional support of rolling stock operation processes with the help of information integration, namely the stages of the life cycle of rolling stock and systems for its technical control and diagnostics. It is shown that nowadays in road transport the basis of life cycle information support can be CALS or IPV/CALS/PLM - technologies (continuous support of the life cycle of vehicles), which are sometimes called product information support systems and are a part of intelligent transport systems. The analysis and clarification of the structure of the intelligent vehicle monitoring system was carried out on the example of the assessment of its environmental safety and its engine parameters. In the work, it is also planned to obtain experimental data from vehicle, the results of processing of which will allow to prove the existence of a real possibility of using the diagnostic complex on a modern automatic transmission system. It should be noted that the system for monitoring environmental safety indicators of vehicle, which is proposed by the authors, also contains in its composition the subsystem of intelligent processing of primary information, which can be used precisely in the role of "intelligent monitoring system". The data obtained and analyzed in the work indicate the need to also improve the efficiency of the neutralization of harmful substances in the engine warm-up mode, which can be implemented by reducing the engine warm-up time and more effective control of the injection/ignition process in transient modes, as well as by introducing an improvement algorithm of the control subsystem composition of the mixture precisely with feedback. The main diagnostic parameters of the vehicle engine during the start-up and warm-up processes, which affect the composition of harmful substances in the exhaust gases, were obtained experimentally. The proposed scheme for monitoring pollution of the roadside environment by traffic flows in the city.

Systematization of hardware schemes of vehicle operation monitoring systems

Information monitoring is the most important stage of monitoring the technical condition of a modern car in operating conditions. Remote control of vehicle operation can be rationally formed on the basis of the systematization of the hardware schemes of the monitoring systems. In the article, a structural analysis and synthesis of possible hardware schemes of vehicle monitoring systems in interaction with the infrastructural environment is performed on the basis of the study of the technical system «Vehicle – Infrastructure». The article systematizes monitoring systems according to the types of hardware used to obtain information about the vehicle and infrastructure environment at various stages of performance of their inherent functions in operational conditions. The article shows that it is advisable to consider the means of obtaining information about the condition of operators, vehicles and objects of transportation (cargo or passengers) as separate functional elements of the monitoring information system. In order to systematize possible schemes of hardware support of monitoring systems, 5 functional elements are selected as a set of specialized hardware. For each of the functional elements of the monitoring information system, the main morphological features that characterize the type of information, methods of obtaining, processing, transmitting, analyzing and using it to solve specific tasks of vehicle operation are highlighted. A list of specific options for technical support of selected morphological features is determined, the combination of which determines the structure and functionality of the formed information monitoring system to solve the tasks in the specified operating conditions. The article shows the process of researching the formation of diagrams of the structure of the hardware of information systems for monitoring the operation of vehicles with different layouts in the form of a morphological formula. The obtained diagram of the structure of the hardware support of information systems for monitoring the operation of the vehicle can be considered as an acting way to ensure effective monitoring of the vehicle in operating conditions