Information System Model Research Articles

Eligibility of out-of-hospital cardiac arrest patients for extracorporeal cardiopulmonary resuscitation in the United States: A geographic information system model

BackgroundRecent evidence suggest that extracorporeal cardiopulmonary resuscitation (ECPR) may improve survival rates for nontraumatic out-of-hospital cardiac arrest (OHCA). Eligibility criteria for ECPR are often based on patient age, clinical variables, and facility capabilities. Expanding access to ECPR across the U.S. requires a better understanding of how these factors interact with transport time to ECPR centers. MethodsWe constructed a Geographic Information System (GIS) model to estimate the number of ECPR candidates in the U.S. We utilized a Resuscitation Outcome Consortium (ROC) database to model time-dependent rates of ECPR eligibility and the Cardiac Arrest Registry to Enhance Survival (CARES) registry to determine the total number of OHCA patients who meet pre-specified ECPR criteria within designated transportation times. The combined model was used to estimate the total number of ECPR candidates. ResultsThere were 588,203 OHCA patients in the CARES registry from 2013 to 2020. After applying clinical eligibility criteria, 22,104 (3.76%) OHCA patients were deemed eligible for ECPR. The rate of ROSC increased with longer resuscitation time, which resulted in fewer ECPR candidates. The proportion of OHCA patients eligible for ECPR increased with older age cutoffs. Only 1.68% (9,889/588,203) of OHCA patients in the U.S. were eligible for ECPR based on a 45-minute transportation time to an ECMO-ready center model. ConclusionsLess than 2% of OHCA patients are eligible for ECPR in the U.S. GIS models can identify the impact of clinical criteria, transportation time, and hospital capabilities on ECPR eligibility to inform future implementation strategies.

Обзор методов межъязыкового сопоставления ассоциативных полей

The study is aimed at improving the method of processing data from psycholinguistic experimental studies with native speakers of national languages. The purpose of the work is to review the existing methods of interlingual comparison to select the base one for implementation in an information system consisting of a database of the Russian-Tatar- Bashkir associative dictionary and a module for calculating indicators of the measure of connectivity between stimulus in different languages. To study the linguistic consciousness of representatives of different languages in psycholinguistics, an associative experiment is effectively used, which is aimed at identifying associations that an individual has developed throughout life. The data obtained can be interpreted in different aspects in accordance with the direction of a particular study. In this regard, it is necessary to improve the methods of qualitative and statistical processing of extensive linguistic data obtained, as a result, of mass psycholinguistic experiments on the material of languages with different structures with the participation of many subjects. To study the structure of the associative field, quantitative and qualitative methods of data analysis are used. In quantitative analysis, the stimulus is considered as a set of frequencies that are interconnected by their relation to the same word, single reactions form the periphery, and frequency reactions form the core of the field. The article considers and analyzes the following methods: comparison of associative fields of the same name stimulus of associative experiments - contains a quantitative and qualitative analysis, and allows you to determine what semantic connection the studied languages are characterized by and whether the images of consciousness coincide; building a semantic gestalt - allows you to assess the positivity of images of linguistic consciousness, which concepts are significant, differences and similarities, whether they have a common understanding of basic, vital concepts; analysis of the core of AF - based on the level structure of the language and Leontiev’s model of speech production, a feature of this method is the selection of the prevailing lexical and lexical-grammatical mechanisms. Assessing the potential capabilities of the information system model for interlingual analysis of verbal associations, we can conclude that the method of constructing a semantic gestalt is most suitable for implementation.

Investigating the antecedents of HRIS adoption in public sector organizations: integration of UTAUT and TTF

PurposeThis paper aims to propose a user adoption model of human resource information system (HRIS) in the Jordanian public sector by integrating the task technology fit (TTF) model and the unified theory of acceptance and usage of technology (UTAUT).Design/methodology/approachUsing a quantitative approach, survey data were collected using an online survey from employees working in four different public organizations in Jordan, and structural equation modelling has been used to validate the research model.FindingsThe study found that among the constructs of the UTAUT model performance expectancy, social influence and facilitating condition have a significant effect on users’ behavioural intention to adopt HRIS. Furthermore, the results also reveal that effort expectancy has an insignificant effect on adoption behaviour. The findings also show that all TTF hypotheses were supported by the data collected. Both task characteristics and technology characteristics have a significant effect on the TTF construct, which further determines users’ adoption behaviour.Originality/valueThese findings contribute to the extant academic literature and have practical implications, improving the understanding of the HRIS adoption and use in public sector organizations.

EVALUATION MODEL FOR INFORMATION SYSTEMS BASED ON SYSTEM QUALITY FACTORS: FROM A SYSTEM DEVELOPER PERSPECTIVE

Information system (IS) is seen to be one of the major factors that operate the organization systematically and has contributed a positive impact in improving the performance of an organization. Due to its importance, many studies have done in ensuring the best method employed in its development and comply with its quality. The challenges are to identify a method in evaluating the quality of the systems and this has become the interest of many researchers. There are various evaluation models exist, in fact, various evaluation theories have been proposed in different disciplines and perspectives. However, the existing evaluations are based from the user's perspective and often ignored the point of view from the system developers. System developers are the persons who are responsible to develop the system. They are responsible in ensuring the systems comply with its quality and making the system usable, effective and error free. System developers also ensure that the developments are according to the user specifications. Therefore, their views in determining the quality of the system should be taken into account. Thus the aim of this study is to propose an evaluation model for IS based on system quality factor from the perspective of system developers. The findings showed that the system quality factors such as data quality, user satisfaction and organizational needs are the factors that should take into account when proposing IS evaluation models. The findings from this study could be served as a guideline to the system development team in producing quality systems that are able to enhance organizational performance.

GIS-based assessment of land-agroforestry potentiality of Jharkhand State, India

Scaling-up agroforestry areas in various forms is a scientific path towards achieving various sustainable development goals (SDGs), especially improving livelihood, reducing poverty, conserving environment and biodiversity, and transforming climate change. In this study, the effort was made to investigate the land potentiality for agroforestry at the district level in Jharkhand State, India by applying geographic information system (GIS) modeling technology using climate (temperature and precipitation), topography (slope and elevation), ecology (percent tree cover and normalized difference vegetation index (NDVI)), and social economics (poverty rate and tribal dominance) factors. The results revealed that six districts of Jharkhand State had agroforestry potential greater than 60.00%. The highest agroforestry suitability was found in Simdega District (78.20%), followed by Pakur (76.25%), West Singhbhum (72.70%), Dumka (68.84%), Sahibganj (64.63%), and Godda (63.43%) districts. Additionally, we identified 513 out of 32,620 villages of Jharkhand State potentially suitable (agroforestry suitability ≥80.00%) for agroforestry with the objective of life improvement among marginalized society. Under the outside forest area, 8.58% of the total geographical land of Jharkhand State was wasteland, much of which was found suitable for agroforestry practices. The agroforestry setups in those wastelands can absorb 637 ​t carbon annually in long run and can provide direct economic benefits to the locals besides additional income for carbon emission reduction. This study concluded that Jharkhand State has plenty of high potential land for agroforestry, and adoption of agroforestry at the village level must be given high priority. This study could guide the nodal authorities to prepare appropriate strategies for scaling the tree cover in agroforestry systems in village-level landscape planning which needs policy attention and investment for achieving 9 out of the 17 SDGs.

Application for simulating public health problems during floods around the Loei River in Thailand: the implementation of a geographic information system and structural equation model

BackgroundFloods cause not only damage but also public health issues. Developing an application to simulate public health problems during floods around the Loei River by implementing geographic information system (GIS) and structural equation model (SEM) techniques could help improve preparedness and aid plans in response to such problems in general and at the subdistrict level. As a result, the effects of public health problems would be physically and mentally less severe.MethodsThis research and development study examines cross-sectional survey data. Data on demographics, flood severity, preparedness, help, and public health problems during floods were collected using a five-part questionnaire. Calculated from the population proportion living within 300 m of the Loei River, the sample size was 560 people. The participants in each subdistrict were recruited proportionally in line with the course of the Loei River. Compared to the empirical data, the data analysis examined the causal model of public health problems during floods, flood severity, preparedness, and help. The standardized factor loadings obtained from the SEM analysis were substituted as the loadings in the equations for simulating public health problems during floods.ResultsThe results revealed that the causal model of public health problems during floods, flood severity, preparation, and help agreed with the empirical data. Flood severity, preparedness, and aid (χ2 = 479.757, df = 160, p value <.05, CFI = 0.985, RMSEA = 0.060, χ2/df = 2.998) could explain 7.7% of public health problems. The computed values were applied in a GIS environment to simulate public health problem situations at the province, district, and subdistrict levels.ConclusionsFlood severity and public health problems during floods were positively correlated; in contrast, preparedness and help showed an inverse relationship with public health problems. A total of 7.7% of the variance in public health problems during floods could be predicted. The analysed data were assigned in the GIS environment in the developed application to simulate public health problem situations during floods.

Re-examining post-acceptance model of information systems continuance: A revised theoretical model using MASEM approach

This study extends the post-acceptance model of information systems (IS) continuance, which is widely used to explain users’ satisfaction and IS continuance intentions. The extended model includes additional variables such as perceived ease of use (PEOU), attitude, trust, and enjoyment. The proposed model was tested using meta-analytic structural equation modeling (MASEM). The analysis included 1,056 observations on fifteen relationships from 214 independent studies with a combined sample of 84,343. The results confirm the significance of all the relationships proposed in the original model. Furthermore, the findings indicate that PEOU directly influences perceived usefulness, satisfaction, and attitude. Trust and enjoyment both have a positive impact on users’ satisfaction and IS continuance, wherein the effect of enjoyment was higher than trust. post-consumption satisfaction resulted in a favorable attitude toward technology, which further affected IS continuance. From a theoretical perspective, the current study acknowledges the shift in users’ attitude toward technology and emphasizes the hedonic value of IS usage as users report a higher degree of satisfaction toward responsive, easy to use, and enjoyable technologies. Marketers should focus on the enjoyment and gratifications derived from technology to increase potential IS usage.

Automatic Access Control Model of Electric Power Information System Based on an Artificial Intelligence Semantic Network

In order to solve the requirements of scheduling automation system for access control and the defects of access control model, an automatic access control model of power information system based on intelligent semantic network was designed. The overall structure of access control model of power information system is given. The detector is designed by artificial intelligence technology, combining artificial neural network and artificial immune algorithm, which provides the basis for checking access request module. By checking the access request module to find out whether there is a detector matching the access request, to judge whether the access request is legitimate. The verification results show that, the model can effectively support the access and modification of legitimate users and prevent the access of illegal users with high control precision.

Educational Evaluation Information System Model of Political Ideological Big Data in Colleges and Universities

This study presents the fundamental guidelines for developing an evaluation index system for political thought education in light of the shortcomings of the current system, including its limited evaluation objectives, singular evaluation methods, lack of pertinence of evaluation indexes, and subjectivity of evaluation standards. In parallel, big data-related technologies are being used to determine the indicators and index weight coefficients of the evaluation system of political thought teaching in institutions of higher learning. This is done on the basis of earlier research on big data and teaching evaluation. The decision tree method is used in this study to create a prediction model for teaching evaluation, which is then pruned based on “relative support” to categorize the sample data. The decision tree method is aimed at a large number of teachers’ information databases. The model is validated at the end. According to the experimental findings, this educational evaluation system is stable to a degree of 94.6 percent, and its evaluation accuracy can reach a level of 95.33 percent. The validity and reliability of the educational evaluation system developed in this study are confirmed by this result. Big data can therefore be used to evaluate political thought instruction in higher education institutions, which offers some fresh perspectives for related research.

Recording and reporting information system model integrated from midwife practices to public health center

Introduction: Maternal and child health problems (MCH) are still a health problem in Indonesia. The high rate of maternal and child mortality requires intensive intervention and monitoring by the health department through health facilities available in the community. The recording and reporting of the MCH program at the Jagir and Wonokromo Health Centers has not been well documented because most of the MCH program recording and reporting is done manually. The purpose of this research is to produce a model of recording and reporting information system that is useful in handling the recording and reporting process of the integrated MCH program from the Independent Midwife Practice to the Puskesmas. Method: The method used in the development of this software is the Scrum Management Framework. The result of this research is the SISKIA (Maternal and Child Health Information and Surveillance System) software application which is integrated from the Independent Midwife Practice to the Puskesmas which can be used to manage maternal and child health data. Results: The SISKIA software application makes it easier to map Maternal and Child Health data, including in high-risk cases, in order to get health services according to the schedule determined by the midwife. SISKIA can directly assess the condition of mothers and children reported by the midwife and can be accurately displayed on the map included in SISKIA installed at the Jagir and Wonokromo Health Centers. Mobilization of the entire community in reducing MMR and IMR in the Jagir and Wonokromo Health Centers can be carried out by monitoring maternal health conditions in the surrounding environment by using this software application. Conclusion: The Maternal and Child Health Information and Surveillance System (SISKIA) has proven useful for obtaining regular and up-to-date maternal and child health data.

Entrepreneurial e-equity crowdfunding platforms: antecedents of knowledge acquisition and innovation performance

PurposeThe crowdfunding concept and activities have recently been the focus of attention of many researchers and practitioners over different business contexts. However, there is a dearth of literature considering the main aspects of e-equity crowdfunding activities and their impact on the innovation performance for entrepreneurial business. Therefore, this study aims to explore how entrepreneurs' engagement in e-crowdfunding activities could enhance both knowledge acquisition and innovation performance.Design/methodology/approachThe conceptual model will be proposed based on three main theoretical perspectives: relationship marketing orientation (RMO); Kirzner's alertness theory; and the DeLone and McLean model of information systems. The data of the current study were collected using an online questionnaire from a sample of 500 entrepreneurs who have actively engaged in e-crowdfunding in Saudi Arabia.FindingsThe statistical results of structural equation modelling (SEM) approved the impacting role of RMO, entrepreneurial alertness, system quality and service quality on the entrepreneurs' engagement in e-equity crowdfunding, which in turn, predicts both knowledge acquisition and innovation performance.Research limitations/implicationsThere are several limitations which could be addressed in future studies, for example, this study has only considered one form of crowdfunding (equity based crowdfunding) and due to its nature these findings would not be easily generalized to other kinds of crowdfunding (i.e. donation-based crowdfunding; rewards-based crowdfunding; and debt-based crowdfunding). Future studies could consider these kinds of crowdfunding activities.Originality/valueThis study has contributed to the understanding of e-equity crowdfunding in several aspects. For example, this study presents results that assist both researchers and practitioners in the Middle East and Saudi Arabia to develop an in-depth knowledge of e-equity crowdfunding by considering new dimensions such as RMO and information system success factors.

Health Education Knowledge Service Information System Model Based on Virtual Reality

In order to solve the problem of more and more vicious events caused by college students“ mental ill-health, a research method of health education knowledge service information system model based on virtual reality is proposed. The platform development approach is based on virtual reality to provide technical support to the process of acquiring, maintaining, pushing, applying, and updating the knowledge of mental health education for college students. The system includes a knowledge base for storing college students’ mental health education knowledge, tools for supporting acquisition, classification, editing, and storage of knowledge, and tools for knowledge sharing, application, and innovation of teachers and experts engaged in college students’ mental health education. The results are as follows: after using this system, the proportion of students with excellent mental health status in a university has increased significantly, reaching 75%, and the proportion of students with poor health status has decreased from 15% to 7%. The mental health knowledge sharing platform designed in this paper has obtained satisfactory evaluation in the trial universities, accounting for 68% of the trial population. The system presented in this article demonstrates that the system can significantly improve the mental health of college students, and the system outlined in this document is important for improving the efficiency and quality of mental health education for college students and for effectively managing educational knowledge.

Service-Oriented Modeling for Blockchain-Enabled Supply Chain Quality Information Systems

Quality management is one of the most critical issues in supply chain management. The rapid growth of information technologies, such as blockchain technology, has facilitated effective information systems development to support supply chain quality management. However, a significant challenge in developing blockchain-enabled supply chain quality information systems is how to deal with information asymmetry and the conflicting interests of supply chain partners. Taking a service-dominant view, this research proposes a Blockchain-Oriented Service Modeling (BOSM) approach for blockchain-enabled supply chain quality information systems. We provide a visual language for modeling the coordination and integration of business processes and domain knowledge at the knowledge level to facilitate the alignment of blockchain technology with supply chain quality management. The proposed approach bridges operational service computing with strategic service management in blockchain-enabled supply chain quality management and facilitates the communication between business people in supply chain management and software professionals in blockchain-based service computing. A case study on a dairy supply chain is presented to show advantages of the modeling framework under the service-dominant view, separating the cause of quality from the carrier of quality in the design of blockchain-enabled supply chain quality information systems.

Factors affecting the continuation to use and e-WOM intention of online library resources by university students: A study in Indonesia

Online library resources can act as a trusted source to find various references for conducting research or writing research papers. With the increasing number of published papers, the use of online library resources becomes increasingly important for academics, including for university students. This study aims to investigate the factors that lead to the continued use of online library resources among university students in developing countries, especially Indonesia. We investigate the impact of resource quality, confirmation, satisfaction, perceived usefulness, perceived ease of use, and perceived enjoyment of users on their intention to continue using online library resources and the effect on e-WOM intention. This study will enhance the Post-Acceptance Model of Information System (IS) Continuance by adding several other constructs and tested using data from 215 university students in Indonesia who have used online library resources. The method used to analyze the data is Partial Least Squares-Structural Equation Modeling (PLS-SEM). The results of the study indicate that satisfaction and perceived enjoyment have a significant effect on the intention to continue using online library resources. In addition, it was also found that the continuation intention to use online library resources also affects the user's intention to convey it to others (e-WOM intention). This study provides insight to online library resources service providers in making improvements and formulating strategies to increase users' intentions to continue using their online library resources.

Analysis of Integrated Information Systems in Community-based and School-based Public Health Surveillance

BACKGROUND: The involvement of the community in supporting health programs requires an integrated information system. Public health registers obtained by the community means some data is collected repeatedly in different formats or leads to data redundancy. AIM: This research aims to analyze and design an integrated information system model of current community-based and school-based public health surveillance based on a system development life cycle approach. METHODS: Data analysis is carried out using content analysis. RESULTS: The results show that entities involved in the system include health cadres in Posyandu (an integrated health post for maternal and child health), Posbindu (an integrated development post of noncommunicable disease), and school health services. The necessary data include data on vital characteristics, maternal and child health, the risk factors of both communicable and noncommunicable diseases, students’ illness complaints, clean and healthy living behavior, mortality, and environmental health. Information obtained includes the health status of an individual, planning on pregnancy and labor, antenatal care visits, stunting data, immunization status, students’ illness complaints, the number of accidents, larva-free rate, and mortality rate. Information from the system is reported to public health centers, the district health office, and district education office. CONCLUSION: The output of the system is useful to complement the recording and reporting of data from health facilities.

Green Information System (GIS) Model in the Conference Sector: Exploring Attendees' Adoption Behaviors for Conference Apps.

IntroductionAcademic conferences are carbon-intensive. Conference travel by air contributes to huge amount of global greenhouse gas emissions, which can be reduced by adopting green information systems (green IS or GIS). This study aims to investigate attendees’ behaviors for adopting green IS (such as conference apps) from an ecological perspective.MethodsFor this research, a survey method was used. Survey instrument had 29 items adapted from existing scales. Data was collected using Mturk’s panel of respondents on online Qualtrics. Exploratory and confirmatory factor analysis were conducted on 403 responses for data analysis and validation of the results using SPSS AMOS ver. 24.FindingsThis study provides empirical evidence to add ecological beliefs as a key predictor of green IS adoption models. Findings demonstrate that attitudes and ecological beliefs play an essential role in conference app adoption, in comparison with performance expectations, social impacts, and facilitation conditions, as presented in the traditional technology acceptance literature. Findings assist conference owners develop essential communication strategies for green attendees.

Pengaruh Kualitas Sistem, Layanan, dan Informasi Terhadap Pengguna Google Classroom Model DeLone and McLean

Social distancing implemented due to COVID-19 in many countries, as well as Indonesia has caused all community activities to be limited and replaced with online activities. This is also applied to the world of education which has switched to distance learning systems, such as Google Classroom. This study aims to analyze the satisfaction of Google Classroom users, which is an alternative substitute system for teaching and learning activities in universities during the COVID-19 pandemic using the DeLone and McLean information system model. Research shows that this model can be used to analyze Google Classroom satisfaction and there is an influence between the elements of success, from the quality of information is 0.851, and the P-values are 0.082, system quality has a positive effect of 0.758, , service quality has a positive effect of 0.849 and the P-values are less than 0.001 so it can be concluded that service quality, system quality, and information quality have a positive and significant effect on user satisfaction.

Effects of Terrain Parameters and Spatial Resolution of a Digital Elevation Model on the Calculation of Potential Solar Radiation in the Mountain Environment: A Case Study of the Tatra Mountains

Solar radiation significantly affects many processes on Earth. In situ measurements are demanding and require a dense network of sensors. A suitable alternative solution could be the modelling of potential solar radiation based on a digital elevation model (DEM) in geographic information systems. The key issue of this study is to determine the influence of the terrain parameters and the spatial resolution of a DEM on the calculation of potential solar radiation. The area of study is the Tatra Mountains (the highest mountains of the Carpathians). The DEM determined from light detection and ranging (LiDAR) was used. To determine the influence of the terrain, the following terrain parameters were applied: slope; aspect, represented by northness and eastness; elevation; and topographical position index using six different circular neighbourhoods (10 m, 30 m, 50 m, 100 m, 500 m, and 1000 m). The results indicate a moderate correlation (0.32–0.46) between the solar radiation calculation errors and the absolute values of the topographic position indices with small neighbourhoods (10 m–100 m). To show the impact of the spatial resolution, the calculation was performed based on four different DEM resolutions, namely 5 m, 10 m, 30 m, and 90 m. Mutual differences in potential solar radiation were quantified concerning the topographic position index. The result is also a model of potential annual solar radiation in the Tatra Mountains, calculated at a resolution of 5 m or 2 m.

Foundations and Applications of Information Systems Dynamics

Although numerous advances have been made in information technology in the past decades, there is still a lack of progress in information systems dynamics (ISD), owing to the lack of a mathematical foundation needed to describe information and the lack of an analytical framework to evaluate information systems. The value of ISD lies in its ability to guide the design, development, application, and evaluation of large-scale information system-of-systems (SoSs), just as mechanical dynamics theories guide mechanical systems engineering. This paper reports on a breakthrough in these fundamental challenges by proposing a framework for information space, improving a mathematical theory for information measurement, and proposing a dynamic configuration model for information systems. In this way, it establishes a basic theoretical framework for ISD. The proposed theoretical methodologies have been successfully applied and verified in the Smart Court SoSs Engineering Project of China and have achieved significant improvements in the quality and efficiency of Chinese court informatization. The proposed ISD provides an innovative paradigm for the analysis, design, development, and evaluation of large-scale complex information systems, such as electronic government and smart cities.

Geographic information system models with fuzzy logic for susceptibility maps of debris flow using multiple types of parameters: a case study in Pinggu District of Beijing, China

Abstract. Debris flow is one of the main causes of loss of life and infrastructure damage in mountainous areas. This hazard should be recognized in the early stage of land development planning. According to field investigation and expert experience, a scientific and effective quantitative susceptibility assessment model was established in Pinggu District of Beijing. This model is based on geographic information system (GIS) combined with grey relational, data-driven and fuzzy logic methods. The influence factors, which are divided into two categories and consistent with the system characteristics of a debris flow gully, are selected, but also a new important factor is proposed. The results of the 17 models are verified using data published by the authority and validated by two other indexes, as well as area under curve (AUC). Through the comparison and analysis of the results, we believe that the streamlining of factors and scientific classification should attract attention from other researchers to optimize a model. We also propose a good perspective to make better use of the watershed feature parameters. These parameters fit well with the watershed units. With full use of insufficient data, scientific calculation and reliable results, the final optimal susceptibility map could potentially help decision makers in determining regional-scale land use planning and debris flow hazard mitigation. The model has advantages in economically weak areas with insufficient data in mountainous areas because of its simplicity, interpretability and engineering usefulness.