Information System Capabilities Research Articles

Development of the Joint Commission of Taiwan's Smart Healthcare Standard.

It is well known that information technology (IT) can play a pivotal role in enhancing healthcare quality and patient safety. The use of computational science to enhance the capabilities of hospital information systems helps deliver enhanced healthcare quality. "Smart healthcare" has become a popular term, reflecting the level of IT involvement in healthcare services. However, each hospital has a different level of IT development, and no clear definition of smart healthcare exists. In this study, we aimed to develop and validate a survey standard to evaluate the level of IT involvement in hospitals. The quality improvement task force of the Joint Commission of Taiwan (QITF-JCT) conducted a systematic literature review to identify the key elements of major healthcare IT functions. The modified Delphi technique was used to review the importance and appropriateness of these elements through an expert panel, and the JCT Smart Healthcare Standard version 1.0 (JCT-SHS 1.0) was drafted. A total of 40 healthcare quality improvement campaign (HQIC) application projects in 2018 were selected for evaluating nine key dimensions of hospital functions: security, digitization, automation, interconnection, connectivity, interoperability, mobility, computation, and artificial intelligence. The standard can be used smart hospital evaluation and executed by two experts by on-site evaluation and rating as three-level scale (norm, excellent, and innovative). The internal consistency and inter-rater reliability were investigated using Cronbach's α and kappa statistics, respectively. This standard was evaluated by using 40 HQIC application projects. The Cronbach's α values were in the range of 0.74-0.92, indicating the good internal consistency of the JCT-SHS 1.0 among the nine IT dimensions. The kappa correlation coefficients were 0.68 for security (p = 0.027), 0.47 for digitization (p = 0.042), 0.21 for automation (p = 0.048), 0.82 for interconnection (p = 0.014), 0.35 for connectivity (p = 0.036), 0.28 for interoperability (p = 0.042), 0.71 for mobility (p = 0.016), 0.47 for computation (p = 0.029), and 0.34 for artificial intelligence (p = 0.033), revealing moderate inter-rater reliability. The validation data indicated that the JCT-SHS 1.0 is a consistent and reliable instrument for evaluating the levels of IT development in the hospitals. Healthcare providers, external accreditation bodies, and policymakers may use the JCT-SHS 1.0 to assess and plan their organizational and system-wise IT strategy.

PENGARUH PERSPEKTIF PEMBELAJARAN DAN PERTUMBUHAN TERHADAP KINERJA PERUSAHAAN DENGAN PENDEKATAN BALANCED SCORECARD (STUDI KASUS PT PERMATA HIJAU PALM OLEO KIM II)

The purpose of this study is to determine the ability of employees; information system capabilities; motivation, empowerment, and alignment; and learning and growth perspectives have an effect on company performance using theapproach balanced scorecard. This research uses descriptive quantitative research. The results showed that the abilities of the employees; information system capabilities; motivation, empowerment, and alignment; and learning and growth perspectives have an effect on company performance using theapproach balanced scorecard.

The Performance Influence of Distribution Government Assistance toward School Dropout Communities Based on the E-Proposal Banper Management Information System, Organizational Transformation and HR Capabilities in Course Institutions

The purpose of this study was to evaluate the performance of the distribution of government assistance to dropout communities based on the e-proposal management information system, organizational transformation, and human resource capabilities of course institutions. The sampling technique was purposive sampling—data collection using questionnaires and FGD. The data analysis technique used Structural Equation Modeling (SEM) analysis processed with Smart PLS software. The research results prove that organizational transformation does not directly affect organizational performance in the distribution of government assistance. Meanwhile, HR capabilities and management information systems of e-proposal Banper directly affect organizational performance in the distribution of government assistance. Then organizational transformation indirectly has a significant effect on organizational performance in distributing government assistance by mediating the management information system e-proposal Banper. Likewise, human resource capability indirectly has a significant effect on organizational performance in distributing government assistance by mediating the management information system e-proposal Banper. The results of the strategy analysis through the input strategy stage with CPM, matching stage with TOWS, and decision stage with QSPM, concluded that the strategy used from the QSPM results is a strategy for developing SIM e-proposal assistance.

Looking into bubbles in financial markets and the emotional side of corporate forecast completion through modeling in the structured query language of financial databases

Subject. The study focuses on a set of financial and economic indicators of corporate performance and metrics of the financial market actors’ sentiment, financial indicators in markets and the way they change over time as markets face dramatic events. The article discusses techniques for applying the information of the financial and economic condition in modeling based on structured word language. Objectives. Analyzing key Russian and foreign sentiment measurement means, I try to create a toolkit, which would be applicable to the valuation and provides a balanced view of the financial and economic condition of companies with reference to the market sentiment. Methods. The article applies methods of induction and deduction, modeling. I demonstrate the relationship of methods and the methodology with new technological means of modern IT systems. Results. Modeling the completion of forecasts, plans and measuring the sentiment, I discovered that key statements and behavioral finance mechanisms manifested in the process. Modeling based on two scenarios and two types of models appeared to be the most illustrative. When forecasts, profit and revenue turn to be higher than expected and when they are lower. Studying bubbles in financial markets, I coined a respective model tested with cases of air lines. The applicable tests, such as the quality of revenue, percentage of deferred income in revenue, sentiment index of the companies show that revenue indicators and sentiment indices are on average poorer in companies with the worst indicators on the sample. Conclusions and Relevance. Given new capabilities of modern information systems, financial analysts get more opportunities for programming, creating user models with needed configurations and extensive database. There we have simplified primary data collection and processing when financial analysts use the data. The findings are applicable to practices of modern appraisers, cost and fundamental analysts. The use of models herein supplements and expands a conventional set of valuation tools and improves the quality of valuation.

Organization, Structure and Capabilities of the State Information System for Ensuring Urban Planning Activities in the Udmurt Republic

Данная статья посвящена геоинформационным системам (ГИС), в частности государственной системе обеспечения градостроительной деятельности (ГИСОГД). Для этих понятий даны определения, обозначены функции и задачи таких систем, приведена классификация по различным признакам, в том числе по характеру обновления информации, по типу устройства использования системы, по пространственному охвату, классу защищенности и предметной области. Рассмотрены принципы работы с информационными системами, определены основные требования к градостроительным ГИС, в том числе и в сфере обеспечения безопасности данных. Отдельное внимание уделено опыту создания и внедрения информационных систем обеспечения градостроительной деятельности на территории Удмуртской Республики (УР). Показана методика разработки и внедрения данной системы в УР.Проведено структурирование основной информации, содержащейся в ГИСОГД, а также действий, совершаемых в рамках деятельности по ведению информационной системы. Приведены документы, являющиеся правовым обоснованием для ведения данных систем, определены основные пользователи.В работе сделан акцент на инновационных модулях, составляющих систему, обеспечивающих ее правильную работу и значительно расширяющих ее функционал. В выводах представлено краткое заключение о нынешнем состоянии геоинформационных систем обеспечения градостроительной деятельности, проблемах и путях (направлении) их решений.

Https://www.asianinstituteofresearch.org/JSParchives/The-CCP%E2%80%99s-Development-of-Artificial-Intelligence%3A-Impact-on-Future-Operations-

The development of artificial intelligence and related technologies has a potential serious impact on the industrial development and the military operations. The Chinese Communist Party has also classified this area as a key direction of the future development, hoping that in this new wave of military affairs innovation, under the absolute superiority of economic and military affairs, China could surpass the United States in one fell swoop, changing the world situation in which the United States is the only military superpower since the end of the Cold War. In the report of the 19th National Congress of the Communist Party of China, President Xi Jinping clearly stated that it should accelerate the development of military intelligence and strengthen the joint combat capability of the network information system, including the R&D of the innovative weapons and equipment. As Xi Jinping took over the presidency of China in 2013, he initiated the "dream of strong army". In the future, artificial intelligence is bound to be an important part of the CCP's military modernization, and it is also a foresighted preparation for winning the next war. At present, most of the CCP’s research on military development in terms of artificial intelligence tends to be on hardware devices, such as automated combat vehicles, autonomous drones and remote-controlled submarines. These related technologies rely heavily on the mechanical engineering and traditional R&D. The CCP intends to combine the development of military science and technology with the advanced weapons as a means of "killer" conception for future regional wars against the United States and other major powers. In this concept, the Communist Army will carry out paralytic asymmetrical attacks to its potential enemies. In the past, the "killer" weapons may be the attack missiles that attack large ships, but now they may include a new generation of artificial intelligence weapons that use the big data, the Internet of Things, or the cloud computing. In the face of the development of the CCP’s artificial intelligence militarization, not only we must concern about its current major developments, but also have to analyze the motives behind it, so that we can make correct judgments in the future operations to block the CCP’s media campaign and arms deterrent. This is the focus worthy of our urgent attention.

The CCP’s Development of Artificial Intelligence: Impact on Future Operations

The development of artificial intelligence and related technologies has a potential serious impact on the industrial development and the military operations. The Chinese Communist Party has also classified this area as a key direction of the future development, hoping that in this new wave of military affairs innovation, under the absolute superiority of economic and military affairs, China could surpass the United States in one fell swoop, changing the world situation in which the United States is the only military superpower since the end of the Cold War. In the report of the 19th National Congress of the Communist Party of China, President Xi Jinping clearly stated that it should accelerate the development of military intelligence and strengthen the joint combat capability of the network information system, including the R&D of the innovative weapons and equipment. As Xi Jinping took over the presidency of China in 2013, he initiated the "dream of strong army". In the future, artificial intelligence is bound to be an important part of the CCP's military modernization, and it is also a foresighted preparation for winning the next war. At present, most of the CCP’s research on military development in terms of artificial intelligence tends to be on hardware devices, such as automated combat vehicles, autonomous drones and remote-controlled submarines. These related technologies rely heavily on the mechanical engineering and traditional R&D. The CCP intends to combine the development of military science and technology with the advanced weapons as a means of "killer" conception for future regional wars against the United States and other major powers. In this concept, the Communist Army will carry out paralytic asymmetrical attacks to its potential enemies. In the past, the "killer" weapons may be the attack missiles that attack large ships, but now they may include a new generation of artificial intelligence weapons that use the big data, the Internet of Things, or the cloud computing. In the face of the development of the CCP’s artificial intelligence militarization, not only we must concern about its current major developments, but also have to analyze the motives behind it, so that we can make correct judgments in the future operations to block the CCP’s media campaign and arms deterrent. This is the focus worthy of our urgent attention.

The sentiment analysis method in finance: The psychological-financial index

Subject. The article discusses contemporary means of measuring emotions of those who make financial decisions. Objectives. Analyzing key means of sentiment analysis in Russia and abroad, the study is to create a tool, which would be applicable to valuation and provide the unbiased information about the emotional state of those who locally make financial decisions. I also demonstrate limited capabilities of contemporary information systems in terms of emotion measurement, valuation, and present means to address the imperfection of the existing news tone measurement framework, unveil the content of new emotion measurement techniques, which would be useful to appraisers and cost analysts. Methods. The study is based on the induction and deduction for opinion poll processing, narrative analysis in data environments. I display the nexus with new technological means of modern information systems. Results. The article unveils the substance of key methods for setting the psychological-financial index, modern means of sentiment analysis in the new setting of the digital economy and Big Data. I scrutinize key constituents of the psychological-financial index and its use in the current circumstances of the post-COVID-19 economy. The article shows how psychological measurement methods can be implemented as part of the narrative analysis. Conclusions and Relevance. Financial analysts get new opportunities when using new achievements of behavioral finance and modern psychological studies. As the use of the psychological-financial index shows in analyzing market anomalies, there appear more opportunities for explaining the irrational behavior of market agents in its various segments. New standards are set as they are needed for valuation purposes, when financial analysts use them. Reporting is normalized. I provide an outlook of the analytical apparatus development and new indicators to use valuation results more efficiently. The findings hereof are applicable to the practice of contemporary appraisers, cost and fundamental analysts. It is especially important to use sentiment analysis tools in the digital economy, during the instability and crisis, change in the market paradigm, market shifts, changes in the comparability metrics, distortion of traditional financial and economic indicators, market volatility. The use of the psychological-financial index supplements and expands the scope of classical measurement tools and increase the quality of valuation.

VIRTUAL MUSEUM AND ITS PURPOSE

In the article, the authors consider issues related to the study of the virtual museum,the definition of the virtual museum is revealed, its varieties and characteristic features are highlighted. Current trends and promising directions for further development are outlined. The classification of virtual museums from the point of view of cultural studies is given.The Virtual Museum of the History of communication has always been relevant in modern society. Worldwide, the demand for a digital museum is growing. The collections of virtual museums are represented by various sources – written, graphic (including 3D), audio and video sources. Most virtual museums display original images of text sources, but not in a machine-readable format. This approach significantly narrows the search capabilities of virtual museum information systems (the source cannot be found by the system itself). Similar problems arise with audio and video sources, because they do not have their own description or it is too small, despite the apparent value in the study. Overcoming these problems will improve the quality of generated resources, increase their information return, and increase the use of CG in classical research and education.The classification of virtual museums from the point of view of cultural studies is given. Virtual museums are products of the computer industry that provide free mass access to cultural heritage. It is noted that virtual museums have a significant potential for the preservation of cultural heritage objects created today. Virtual museums are a new cultural form with its own features and promising functions. Despite the fact that they are developed in Western countries, in Kazakhstan they have not yet really appeared and have not been studied at the academic level.

Sustainable Development of Transport as a Regional Policy Target for Sustainable Development—A Case Study of Poland

In central and eastern European countries that joined the European Union (EU) in 2004 and 2007, there are strong connections between transport development and sustainable regional development. The needs for transport development in post-socialist countries are so high that it is difficult to finance them, and most governments have to choose between immediate and less urgent needs. The aim of this study was to determine the role played by sustainable transport growth in the improvement of regional cohesion and sustainable regional development with a use of geographical information systems’ capabilities. The specific goals of the study were to: (i) determine the impact of EU subsidies on the regional transport development; (ii) identify threats to regional cohesion resulting from under-capitalised regions, (iii) examine geographical information systems’ capabilities in periodical regional transport development monitoring. The analyses include evaluation of the regions’ involvement in sustainable transport development as well as the presentation of direct and indirect results, such as road system improvement, with the use of GIS capabilities. It is particularly important to develop a system for monitoring the level of EU fund allocation with the use of GIS tools and the capabilities of geographic information systems. Such in-depth analysis would be useful for regional governments and decision-makers in creating and updating long term transport policies as well as monitoring long term regional development strategies. Both sustainable transport development and EU fund allocation can be monitored within the use of GIS tools, and such analyses should supplement the INSPIRE Geoportal scope.

Development of forest fire risk map using geographical information systems and remote sensing capabilities: Ören case.

Forest fires globally cause severe losses in vegetation, soil and habitats and inevitably have direct and indirect negative environmental impacts such as deforestation, climate change and drought. According to the official records, there has been an increase of 58% in the number of the forest fires in Turkey in the last 30 years, between 1988 and 2018. Therefore, it is vital to determine the forest fire risks in the country and develop more effective methodologies to mitigate them. From this point, in the first phase, forest fire risk map of Kütahya-Ören region was prepared via the analyses of a variety of spatial data using geographical information system capabilities. The visibility analysis for the current fire towers was also performed. The results showed that very-high and high-risk, moderate-risk and low-risk zones respectively comprised 36.86%, 60.39% and 2.76% of the total study area, and 82.8% of the region was visible from the towers. In the second phase of the study, remote sensing methods were utilized for the detection of the areas burned in October 2001 in Ören-Çamdibi region, which was officially recorded as 4 hectares. The results revealed that the actual amount of the burned area was 5.6 hectares, and 83% of the burned surfaces was classified as moderate-risk areas in the fire risk map, while 17% of it was that of very-high and high-risk zones.

Design of vehicle traffic information security risk evaluation index system based on grey evaluation method

The network security problem of vehicle traffic information system is becoming more and more prominent. In order to effectively defend the system, this paper conducts in-depth research on the network security of vehicle traffic information system and proposes an information security risk assessment system for vehicle traffic control center. Specifically, the vehicle traffic control center is divided into components, and the security attributes of each component of the vehicle traffic control center system are constructed. By studying the information interaction process between the vehicle traffic control center and other subsystems, the security attributes of each component are abstracted; Identify the risk value of the component based on the influence of the component’s security attribute on the risk assessment index, aiming to enhance the security defense capability of the vehicle traffic information system.

Moderating Effect of Organizational Capability on the Relationship Between Business Intelligence Capability and Performance Among Public Listed Firms in Kenya

Business Intelligence remains a primary focus in many organisations and it naturally attracts significant investment. Existing literature is nebulous and fragmented on the real impact and how well the insights induced by this technology have been transformed into successful business learning. Consequently, this paper focuses on determining the influence of organizational capabilities on the relationship between Business Intelligence capability and firm performance. The study employed interdisciplinary theories to realize the research objective, namely Information Systems Capability theory and Organizational Learning theory. In addition, the study was conducted using mixed methods research methodology and a crosssectional approach. The study used structural equations modeling technique (Partial Least Squares approach- SEM-PLS) to analyse quantitative data and validate the developed research model. Thematic analysis aided by Atlas.ti version 8 software was applied to analyse qualitative data. Findings of quantitative and qualitative strands of the study were triangulated at the data analysis stage based on convergence model. Results revealed that organizational capability has a positive and significant moderating impact. The findings provide fresh enlightenment into current Business Intelligence literature and opportunities for future research with implications for management, policy makers, and academia.

Justifying Business Intelligence Systems Adoption: A Literature Review on Healthcare Supply Chain Perspective

Business Intelligence (BI) systems have played an essential position in facilitating information sharing, strategic cost-cutting, and improvement in business process management through data-driven decision-making analytics. The technological enablers of Industry 4.0 have empowered the clinician to attain accurate information in formulating predictive and data-driven diagnoses based on artificial intelligence-enabled medical devices resulting in an efficient and quality clinical pathway for patients. However, there is a noticeable distinction between the hospital's technological aptitude between clinician and non-clinician. The current technological capability of the hospital information system is to digitize daily business processes that could not offer intelligence reports for predicting, forecasting, and data-driven decision-making support. The compilation of past works of literature is expected to justify the need for the healthcare supply chain to adopt BI solutions that produce near real-time data in making efficient inventory management and procurement to support the clinician in delivering efficient and quality clinical pathways for patients by bringing the supplies at the right moment. Hence, a study of BI solutions in healthcare supply chain operation is achieved through a narrative overview of existing literature from papers published online. The results show that appropriate technological tools, resource competencies, and supplier management platform as the essential dimensions to support the business intelligence adoption effort. The study, therefore, not only identified the critical dimensions in facilitating BI adoption but also offer practical awareness to the healthcare policymakers to better understand the strategic need for BI systems in managing the entire hospital operations to gain a competitive advantage.

ПРОБЛЕМАТИКА ПРИМЕНЕНИЯ ПРИНЦИПА ДОЛЖНОЙ ОСМОТРИТЕЛЬНОСТИ ПРИ ОСУЩЕСТВЛЕНИИ НАЛОГОВОГО КОНТРОЛЯ В ЦЕЛЯХ ОБЕСПЕЧЕНИЯ ЭКОНОМИЧЕСКОЙ БЕЗОПАСНОСТИ ПРЕДПРИЯТИЯ

The article deals with the problems of applying the principle of due diligence in the current activities of the organization in the implementation of tax control in order to ensure
 the economic security of the enterprise in modern conditions of increasing the capabilities of information systems. Special attention is paid to the requirements of reliability of accounting and tax accounting. It is concluded that compliance with the strict requirements of the performance standards and innovations of Russian legislation on the tax records allows you to ensure the economic security of economic entity, for this purpose it is necessary to monitor the compliance of accounting policy for accounting purposes and for taxation purposes the requirements of the legislation of the Russian Federation on accounting and taxation, given the characteristics of economic activity of the enterprise. Emphasis is placed on the reliability of accounting and tax accounting. The principles of due diligence in the calculation of value added tax are important. It is stated that at present, there is no legally established definition of the principle of due diligence, which does not allow its extended interpretation by law enforcement agencies.

The Mediating Role of Effective Strategic Decision Making in the Relationship between Intellectual Capital and Information System Capability effect on Financial Performance

This study analyses the importance of intellectual capital and information system capability applied in stated-owned companies in Indonesia which influences the company’s financial performance through mediating variable. Using the theory of resource based view (RBV) and bounded rationality to investigate these relations, a series of hypotheses are developed, taking into account the position of effective strategic decision-making as a mediator variable. The study analyses structural equation modelling (SEM) derived from empirical data from 106 companies in Indonesia. The study attempts to precisely analyze how the impact of intellectual capital and information system capability on established stated-owned companies in Indonesia is affected by effective strategic decision making. The research exposes that information system capability has no influence on financial performance, whereas intellectual capital and information system capability indirectly leverages the financial performance through effective strategic decision-making.

Effect of Intellectual Capital and Information System Capability on Effective Strategic Decision Making to achieve financial performance

Effect of Intellectual Capital and Information System Capability on Effective Strategic Decision Making to achieve financial performance

Multidimensional Model of Product Quality Formation

Based on the analysis of the functional capabilities of modern information systems, the paper substantiates the applicability of multidimensional combined information structures for computer-assistant planning in machinery production. A multidimensional optimization model has been developed for elementary technological surface-treatment routing in the case of using complex quality indicators determined by the operational properties of products. The dimensions of its coordinate space are determined by the number of technical constraints that govern the quality of the product. The paper provides an example of an algorithm that uses logical algebra operations to reduce the coordinate space of the model and to reduce the computational complexity of the design task.

Partial rule security information and event management concept in detecting cyber incidents

Information communication technologies are evolving rapidly and have huge impact on everyday life. This does not come without dangers, i.e., it is actively followed by wide range of malicious activities that impact the companies forcing them to protect their information at all costs. Cyber attacks today are usually consisting of multiple carefully planned hardly detectable steps causing severe damage to companies. This paper examines the capability of security information and event management (SIEM) system with applied partial rules in detecting the multi-step attacks. Fine tuning was focused on detecting partial attack patterns that were important and specific to environment and positive results were gained. The results show that when using the partial rule approach in SIEM for incident detection, the number of detected advanced multistage cyber attacks has increased, thereby contributing to the overall security in cyber space.

Capabilities of modern information systems for Darknet analysis

Capabilities of modern information systems for Darknet analysis