Computerized Management System Research Articles

Mortality rate of percutaneous coronary interventions in st-segment elevation myocardial infarction patients under the public health insurance schemes of thailand

Abstract Background ST-elevation myocardial infarction (STEMI) presents a critical public health challenge internationally, including in Thailand. Currently, standard therapeutic interventions, particularly primary percutaneous coronary interventions (pPCI), are administered to Thai citizens. However, selected healthcare systems restrict access to specific pharmaceuticals and medical devices, causing inequalities in the quality of medical care amongst different healthcare systems. Such inequalities have the potential to significantly impact the quality of life of patients, particularly in the long term. Purpose The primary objective is to compare mortality rates within one year of STEMI patients after treatment with pPCI among the public health insurance schemes of Thailand. The secondary objective is to study prognostic determinants for one-year mortality rates among patients diagnosed with STEMI who have undergone pPCI. Methodology This study is a single-centre retrospective analysis of patients with STEMI treated with pPCI. It involves patients utilising various state health insurance schemes in Thailand from 1 January 2010 to 31 December 2020. Data collection occurred through the hospital's computerised management system and the registration administration office of the Department of Provincial Administration. The data analysis employed the Kaplan-Meier survival analysis, log-rank test, and Cox proportional hazards regression modelling method. Results The study involved 1,077 patients, categorised into three groups based on their state health insurance: Universal Health Coverage (UC) (546 patients, 50.7%), Social Security System (SS) (199 patients, 18.5%), and Civil Service Reimbursement (CS) (332 patients, 62.6%). The one-year mortality rates in these groups were 10.57%, 4.21%, and 6.47%, respectively (p=0.010). In the unadjusted model, the SS group showed a lower risk of one-year mortality rate (HR 0.38, 95% CI 0.18-0.80, p=0.011), and the CS group also demonstrated a lower risk (HR 0.59, 95% CI 0.35-0.99, p=0.047) compared to the UC group. In the adjusted model, only the CS group significantly reduced the risk of one-year mortality. Other factors that affected one-year mortality were age ≥65 years, a Killip score of 3-4, pre-discharge prescription of angiotensin-converting enzyme inhibitors, occlusion in the left anterior descending artery, and pericardial effusion. Conclusion Healthcare schemes play a significant role in influencing one-year mortality rates among STEMI patients treated with pPCI. The use of civil service reimbursement is a protective factor for the one-year mortality rate in STEMI patients. This information would be crucial for developing strategies and programs to aid healthcare policymakers at both regional and international levels in reducing morbidity and mortality.

Assessing the feasibility of the GOTT (Gabapentinoid and Opioid Tapering Toolkit) in a primary care setting in North-East England.

To assess the feasibility and possible impacts of implementation of systematic non-pharmacological interventions to reduce the level of prescribing of opioid and gabapentinoid analgesics for chronic non-cancer pain (CNCP), particularly high-dose prescriptions, through a proof-of-concept study in a deprived area (second lowest decile) primary care practice in North-East England. Twenty-five primary care staff (clinical and non-clinical) of which 18 clinicians received the intervention. All clinicians received an educational skills programme to support patient pain self-management, tailored on the clinicians' self-assessment of their learning needs, embedding both clinician skill learning and patient self-care resources for rapid access within consultations into a GP clinical management computer system. Clinical staff completed questionnaires before and after the GOTT intervention to assess levels of knowledge and confidence in their own skills to support chronic pain self-management across several domains. Prescription data were used to measure changes in opioid and gabapentinoid prescribing at the practice across the 12-month intervention and 30-month follow-up period. Prescribing of opioid and gabapentinoid/pregabalin decreased substantially in the practice across the intervention period (c. 90% in high-dose opioid [p = .0118], and 15% gabapentin/pregabalin prescriptions, respectively), over a one-year period during the COVID-19 pandemic. Follow-up analysis showed 100% and c.50% reductions, respectively, in December 2022. The questionnaire data showed an increase in clinician confidence in skills to enable self-management over the intervention period, overall (p = .044) and, specifically across three of the five domains measured: supporting behavioural change (p = .028), supporting self-care (p = .008), and managing difficult consultations (p = .011). The GOTT intervention program provided some initial evidence of a proof-of-concept for the implementation of a systematic non-pharmacological pain management skills and resources programme addressing lack of confidence in skills to introduce and support self-management and reduce use of strong opioids and gabapentinoids.

How to Better Qualify ICT Graduates to Support Digital Education: A contribution from CALOHEE Tuning project qualifications framework

The Information and Communications Technology subject area is a broad multidisciplinary field of academic research and professional practice covering many topics ranging from electronics to system and network administration, to software development, cyber security, VR, AR, IoT and AI. Due to its nature, it cooperates closely with diverse areas, most notably eLearning and digital education. As contemporary educational institutions undergo a digital transformation, by which its processes are reengineered to take most of the possibilities offered by the emerging technologies, the contribution of the ICT field has become transversal and consequently of critical importance. The term ICT which refers to this wide multidisciplinary field differentiates from IT, which applies specifically to the management and use of computer systems to store, retrieve, transmit, and manipulate data. The continuous expansion of the field to new territories of practice such as education is requiring additional knowledge, skills and wider competences acquisition. In addition, high volatility of the job market creates the need for very adaptable professional profiles. As a result, there is a pressure from the job market for shorter and more job-oriented programmes, but also for competence frameworks which may serve as references for quality higher education and training. In this paper we present the Tuning Quality Reference Framework (QRF) for ICT which was developed as part of the CALOHEE Erasmus+ funded project. A multidisciplinary team with experts from 12 different countries (Portugal, Lithuania, Germany, Italy, Spain, Austria, Belgium, Greece, Turkey, Finland, Ireland and Romania) took part in the task. The QRF is built in a way to flexibly address all the mentioned complexity and continuously emerging new requirements including educational institutions and non-formal education organisations. The approach used also supports innovation in learning, teaching and assessment practices in ICT degrees, fostering open and digital education.

Leveraging on the fourth industrial revolution by African accountants in the sustenance of SDGs and AU Agenda 2063

AbstractThe research sought to assess the use of 4IR technologies by the accountancy profession in Africa in the sustenance of SDGs and AU Agenda 2063. The investigation adopted a pragmatic approach, associated with mixed‐methodological approach. The target population for the study was 114,800 Professional Accountancy Organisations (PAOs) members from all 44 countries in Africa who were members of the Pan African Federation of Accountants (PAFA). Online questionnaires and telephone interviews were administered to gather data. A total of 267 responses were received out of 114,800 members representing 0.23% of the population. Forty‐eight accountants were interviewed by telephone using the snowball sampling technique. Quantitative data gathered from online questionnaires was analysed using the IBM Statistical Package for Social Sciences (SPSS) version 26 and ATLAS.ti 9 was used to analyse responses from interviews. The study showed that accountants in Africa had heard about 4IR technologies, with the Internet of Things (IoT) mostly used and known by accountants. The study established that 4IR technologies improved the standard of living, reduced social marginalisation, eased manual work, improved agricultural productivity, reduced environmental pollution, improved health services, financial inclusion and knowledge sharing. These benefits are critical for achieving SDGs and the African Agenda 2063. Accountants are recommended to continuously train and retrain on new and trending technologies like computerised audits, big data analytics, machine learning, artificial intelligence, robotics, bitcoin and its risks in the monetary systems, cyber security in the 4IR era, cloud computing and information management systems to sustain SDGs and AU Agenda 2063.

Integrated Subsystems of Materials and Information Flow for Continuous Manufacturing of Coal and Steel

Abstract With the concept of Industry 4.0 production processes are moving towards autonomy and intelligence. Technologies equipped with artificial intelligence (AI) are involved into processes that are more and more digitized. Collaborative technologies are a feature of discrete processes. The automotive industry has achieved many successes in the process innovation towards smart factories. Other plants, such as smelters or coal mining are also striving to develop smart manufacturing with integrated computer systems to support processes. A continuous production is different from a discrete or batch production. Industry 4.0 concept is focused on discrete production (with high level of automation and robotization of manufacturing) meanwhile there is a gap in implementation of these approach in the continuous production. The objective of the publication is to prepare and design the integrated computer management system based on processes realized in coal and steel manufacturing. Coal and steel production are key elements in a chain of any industrial manufacturing e.g. automotive or machinery engineering. These processes are crucial in building of smart value chain. In our paper we present the structure of processes for the continuous production. Based the processes model we proposed the next steps to build the smart manufacturing for continuous production.

Mortality rate of percutaneous coronary interventions in ST-segment elevation myocardial infarction patients under the public health insurance schemes of Thailand.

In Thailand, access to specific pharmaceuticals and medical devices for ST-elevation myocardial infarction (STEMI) patients is restricted within certain healthcare systems, leading to inequalities in the quality of medical care among different healthcare systems. This study aims to compare mortality rates within one year of STEMI patients among the public health insurance schemes of Thailand. This study is a single-center retrospective analysis of patients with STEMI treated with primary percutaneous coronary intervention (pPCI). It involves patients utilizing various state health insurance schemes in Thailand from January 1, 2010, to December 31, 2020. Data collection occurred through the hospital's computerized management system and the registration administration office of the Department of Provincial Administration. The study involved 1,077 patients, categorized into three groups based on their state health insurance: Universal Health Coverage (UC) (546 patients, 50.7%), Social Security System (SS) (199 patients, 18.5%), and Civil Service Reimbursement (CS) (332 patients, 30.8%). The one-year mortality rates in these groups were 10.57%, 4.21%, and 6.47%, respectively (p = 0.010). In the unadjusted model, the SS group showed a lower risk of one-year mortality [Hazard Ratio (HR) 0.38, 95% CI 0.18-0.80, p = 0.011], and the CS group also demonstrated a lower risk (HR 0.59, 95% CI 0.35-0.99, p = 0.047) compared to the UC group. In the adjusted model, only the CS group significantly reduced the risk of one-year mortality. Other factors that affected one-year mortality were age ≥65 years, prior coronary artery diseases, Killip class 3-4, pre-discharge prescription of angiotensin-converting enzyme inhibitors, occlusion in the left anterior descending artery, multivessel disease, in-hospital atrial fibrillation/flutter and in-hospital pericardial effusion. Healthcare schemes play a significant role in influencing one-year mortality rates among STEMI patients treated with pPCI. This information would be crucial for developing strategies and programs to aid healthcare policymakers at both regional and international levels in reducing morbidity and mortality.

Optimization Management of Storage Location in Stereoscopic Warehouse by Integrating Genetic Algorithm and Particle Swarm Optimization Algorithm

The management of a three‐dimensional warehouse is a key part of the upper computer monitoring and management system for three‐dimensional warehouses. Currently, there are problems such as unreasonable planning and inability to respond to real‐time demands. Therefore, further improvement is needed to optimize the management of storage locations. The main purpose of the research is to achieve better storage stability and improve storage and retrieval efficiency. First, the study constructed a multiobjective mathematical model based on the weight, frequency of use, and category of the goods. Three objective functions were constructed. Therefore, the operational efficiency of the stacker crane and the turnover rate of items were improved. Meanwhile, the overall stability of the shelves was ensured, and the management efficiency of the warehouse was improved. At the same time, the study introduced the GA‐PSO algorithm to solve the mathematical model and optimize the goods location planning. These results confirmed that the proposed algorithm had significantly lower iteration times than traditional particle swarm optimization in different warehouse sizes and types of goods. The iteration required to reach the optimal value in Situation 1 was only 80, which was 90 fewer than PSO. Meanwhile, in Situation 2, the optimization results of the proposed algorithm in four objective functions were as high as 42.94%, 26.03%, 30.72%, and 46.15%, respectively, which increased by 1.20%, 8.04%, 5.61%, and 7.38% compared to PSO. The proposed algorithm can achieve more efficient and intelligent warehouse management, improving the efficiency and accuracy of logistics operations. It is significant for logistics industry development and enterprise competitiveness enhancement.

STUDY OF REQUIREMENTS AND CYBER SECURITY ANALYSIS OF THE SOFTWARE OF INFORMATION AND CONTROL SYSTEMS OF NPP, IMPORTANT FOR SECURITY

In order to counter cryptoattacks on elements of critical infrastructure, in particular on computer control systems of nuclear power plants, the goal achieved in this work is to analyze the requirements for computer security (cyber security) of the software of this system, which are relevant to the stage of its design, development and operation, as well as proposed criteria and methodology for calculating the quality of compliance with these requirements. To achieve the goal, the first section of the article provides information on standards and identified requirements for software cyber security. In the second section, an analysis of the requirements is carried out and an approach to software development is described, taking into account these requirements and analyzing their consideration. In the third section, an approach to calculating the performance indicator of software cyber security requirements is proposed. The fourth chapter provides an example of the application of this approach to the existing computerized NPP management system to assess compliance with cyber security requirements. The article discusses the requirements of the international standard IEC62645 and the industry standard of Ukraine “NP 306.2.237-2022”, which are related to the development of software for the computer control system of nuclear power plants. Ensuring cyber protection of the software of the NPP computer management system is a complex task that includes administrative, legal, technical, cultural, and organizational components. From the point of view of software development and operation, the main cyber security measures include software code verification, ensuring the absence of hidden functions, implementing physical equipment protection, security of software components, authentication, security during data exchange. To determine the compliance of the software with the requirements of cyber protection, it is necessary to determine the requirements applicable to each component of the software and conduct an analysis of their implementation. This action should occur continuously during the development of new software and software evaluation of existing computer control systems. After the analysis of the applicability and fulfillment of the requirements, the calculation of the coefficient of the fulfillment of the requirements can be carried out. It was noted that cyber protection is only a component of the quality of the software of the NPP computer control system, which is important for the performance of security functions. The analysis of requirements and the calculation of the coefficient of their fulfillment can be an integral part of the complex model of the software development process of the computer system of NPP management.

DIFFERENCE BETWEEN OPENHPC AND HTCONDOR CLUSTER SYSTEMS: IN-DEPTH ANALYSIS

The rapidly developing field of high-performance computing (HPC) requires efficient and scalable solutions to manage extensive computing loads. Although they use different approaches and architectures, OpenHPC and HTCondor are well-known platforms that meet these needs. This article thoroughly analyzes OpenHPC and HTCondor to identify their fundamental differences and work paradigms. OpenHPC is a comprehensive modular structure designed to facilitate the deployment, management, and maintenance of HPC clusters, offering a rich set of pre-integrated HPC software components. Conversely, HTCondor specializes in efficiently planning and managing resource-intensive tasks, using a unique partner selection system for dynamic resource allocation based on job requirements and resource availability. By examining aspects such as system architecture, resource management efficiency, scalability, flexibility, and the user ecosystem, this analysis sheds light on the strengths and weaknesses of each structure. The research aims to provide stakeholders in high-performance computing with the knowledge necessary to make informed decisions regarding the selection and implementation of high-performance computing management systems, ultimately aimed at optimizing the use of computing resources and optimizing research and development workflows.

Centralization of the methadone maintenance plan in a hospital pharmacy department in the Community of Madrid

In February 2018, Resolution 189/2018 was published in the Autonomous Community of Madrid with the objective of centralizing the procedure for the acquisition, preparation, distribution, and dispensing of methadone to Centres for the Comprehensive Care of Drug Addiction Patients within the Madrid Health Service under the responsibility of a Hospital Pharmacy Service.The Hospital Pharmacy Service began this activity in March 2018. This is the first time that the comprehensive management of a methadone maintenance plan has been centralized in an Hospital Pharmacy Service for the care of drug-dependent patients in the Autonomous Community of Madrid.At the beginning of the Project, the previous workflow was analysed, the pharmaceutical laboratory was adapted, and the methadone acquisition procedure was designed. A communication channel with the Centres for the Comprehensive Care of Drug Addiction Patients was implemented and application forms were designed. Corresponding control procedures were established given that the medication under consideration was a narcotic.Standard procedures for the acquisition of methadone, of containers for personalized dosing in Centres for the Comprehensive Care of Drug Addiction Patients, and transport routes were designed and contracted out through public tender in compliance with the Public Administration Contract Law. A tender has also been awarded for the implementation of a computerized management system and automated dispensing systems, which are currently undergoing installation.The pharmacotherapeutic protocol of the Methadone Maintenance Plan of the Autonomous Community of Madrid is also being updated.Over 18 months, 5,300 L of methadone solution have been prepared and 2,844 individual prescriptions have been dispensed.High levels of perceived satisfaction were reported via a questionnaire administered to the Centre for the Comprehensive Care of Drug Addiction Patients staff. The response rate was 92%. Overall satisfaction was very satisfied/quite satisfied (91%) and satisfied (9%). These results highlight the high level of satisfaction (quite satisfied or very satisfied: 81.8%) with the effectiveness and speed of resolution of incidents by the Hospital Pharmacy Service staff.This process incorporates the knowledge and experience of hospital pharmacists into this healthcare field, as well as taking advantage of existing resources, facilities, and procedures. All these aspects lead to an efficient, effective, and safe approach to this clinical-care activity and enable a change in the pharmacotherapeutic health care model for opioid-dependent patients.

Retracted: Research and Implementation of Distributed Computing Management System for College Students' Sports Health Based on Integrated Regional Collaborative Medical Care.

[This retracts the article DOI: 10.1155/2022/9306200.].

Evaluation of the efficiency of computer monitoring based on selected parameters of dairy herd behaviour in relation to daily milk yield

The study analysed the indicators of welfare and motor activity of animals to support farmers in taking decisions on breeding management in Polish Holstein-Friesian black-and-white cows. The survey involved 236 cows during a 305-day lactation period, kept in an open-sided free stall barn, before and after furnishing the complete computer management system DeLaval DelPro. It evaluated the motor activity and breeding parameters of cows assigned to three groups (I, II, III), depending on daily milk production. It was demonstrated that the highest-yielding cows spent more time (12.5 vs 10.5 h/day) lying down and resting than the lowest-yielding cows. The highest motor activity of cows (29.66% of the herd) was observed in the morning between 3:00 AM and 6:00 AM, and the lowest (6.78% of the herd) in the evening between 9:00 PM and 00:00. The monitoring significantly (P ≤ 0.05) improved all the evaluated breeding parameters (insemination index, inter-pregnancy interval, and calving interval) in the highest-yielding group of cows. Based on the outcomes, the use of livestock management software should be recommended to improve the welfare and breeding indicators of Polish Holstein-Friesian black-and-white cows.

Perancangan Desain Sistem Inventori Tool Crib Pada Bengkel Mesin

Information management for inventory is very important to help companies or organizations manage their inventory more efficiently and effectively. With good information management, companies can monitor and control the quantity of goods available, avoid shortages or excess stocks, and optimize the process of sending and receiving goods. The equipment management system in the POLMED Mechanical Engineering Workshop Tool Crib is still conventional, not yet using a technology-based (computer) management system. Where equipment borrowed by students or other stakeholders is still recorded in a form and there is no information management-based recording. So that the number of tools, the condition of the tools and who borrows the tools cannot be controlled properly. And problems/issues arise when the equipment is often not in place or missing.

Enhanced Dual Convolutional Neural Network Model Using Explainable Artificial Intelligence of Fault Prioritization for Industrial 4.0.

Artificial intelligence (AI) systems are increasingly used in corporate security measures to predict the status of assets and suggest appropriate procedures. These programs are also designed to reduce repair time. One way to create an efficient system is to integrate physical repair agents with a computerized management system to develop an intelligent system. To address this, there is a need for a new technique to assist operators in interacting with a predictive system using natural language. The system also uses double neural network convolutional models to analyze device data. For fault prioritization, a technique utilizing fuzzy logic is presented. This strategy ranks the flaws based on the harm or expense they produce. However, the method's success relies on ongoing improvement in spoken language comprehension through language modification and query processing. To carry out this technique, a conversation-driven design is necessary. This type of learning relies on actual experiences with the assistants to provide efficient learning data for language and interaction models. These models can be trained to have more natural conversations. To improve accuracy, academics should construct and maintain publicly usable training sets to update word vectors. We proposed the model dataset (DS) with the Adam (AD) optimizer, Ridge Regression (RR) and Feature Mapping (FP). Our proposed algorithm has been coined with an appropriate acronym DSADRRFP. The same proposed approach aims to leverage each component's benefits to enhance the predictive model's overall performance and precision. This ensures the model is up-to-date and accurate. In conclusion, an AI system integrated with physical repair agents is a useful tool in corporate security measures. However, it needs to be refined to extract data from the operating system and to interact with users in a natural language. The system also needs to be constantly updated to improve accuracy.

Malicious Web Links Detection - A Comparative Analysis of Machine Learning Algorithms

"One of the most challenging categories of threats circulating into the online world is social engineering, with malicious web links, fake news, clickbait, and other tactics. Malware URLs are extremely dangerous because they represent the main propagating vector for web malware. Malicious web links detection is a challenging task because the detection mechanism should not influence the consumers’ online experience. The proposed solutions must be sensitive enough, and fast enough to perform the detection mechanism before the user accesses the link and downloads its content. Our paper proposes three goals. The main purpose of this paper is to refine a methodology for malicious web links detection that may be used to experiment with machine learning algorithms. Moreover, we propose to use this methodology for training and comparing several machine learning algorithms such as Random Forest, Decision Tree, K-Nearest Neighbor. The results are compared, justified, and placed in the malicious web links literature. In addition, we propose to identify the most relevant features and draw some observations about them. 2010 Mathematics Subject Classification. 68T99, 68U99. 1998 CR Categories and Descriptors. 68T99 [Artificial Intelligence]: Applications and Expert Systems – Experiments for Malicious Web Links Detection; 68U99 [Management of Computing and Information Systems]: Security and Protection – Malicious Web Links. Key words and phrases. malicious web links detection, web-malware, artificial intelligence."

Analytical aspects of application of intelligent methods of management of computer systems in transport infrastructure projects

The object of research is the processes of monitoring and intelligent control of computer systems in transport infrastructure projects. In the design and operation of computer networks, an urgent task is to solve the problem of providing quality services with distributed information processing, which is largely determined by the development of the network management mechanism of the transport system. The increase in the amount of digital data creates security and protection of information solely at the expense of the aspects of their design and operation. The paper considers the methods of intelligent network management of computer systems in transport infrastructure projects, analyzes their principles of operation and functions in relation to the network infrastructure. Methods using intelligent agents are analyzed and the results of their application to computer network management are presented. The use of intelligent agents in computer networks and systems allows automating complex tasks, optimizing resources and increasing the efficiency of the network of the transport economy system. They can contribute to increased productivity, safety, and user satisfaction. The considered algorithms for processing the results of the examination of the load of the transport network infrastructure are used to ensure effective management of the transport system. Processing algorithms allow analyzing the current state of traffic in different sections of the transport network. These algorithms can be used to develop optimal traffic distribution strategies. A case of their application is presented. One of the main tasks of the transport sector is to ensure traffic safety, which can be achieved by quickly processing information and receiving it distributed to all levels of the management system for quick analysis, processing, and (if necessary) response. The paper proposes to use methods of monitoring, expert evaluation of the general state of the computer network and the development of management decisions that take into account the peculiarities of the structure and functioning of computer systems in transport infrastructure projects. This ensures the ability to transmit information with specified service quality parameters with minimal network resource consumption. The research presented in this paper can be used in practice in organizations and enterprises of the transport sector during the reorganization, improvement, or integration of individual components of the information system.

LazySort: A customized sorting algorithm for non-volatile memory

Due to the development of new non-volatile storage technologies, bridging the access delay gap between storage and memory has been promoted. Therefore, since the volume of data continues to increase, the need for new types of non-volatile storage for high-performance computing and database management systems significantly increases. As a basic algorithm of the database management system, external sorting is widely used but suffers from numerous I/O operations caused by the frequent data exchange between the memory and external memory. Non-volatile memory (NVM) is a promising solution. However, the traditional external sorting algorithm is only designed for disk storage and cannot be used for NVM. To solve this issue, we propose LazySort, which is a novel external sorting algorithm that exploits the NVM byte addressing mechanism and the orderly distribution of data to improve the sorting efficiency. Specifically, LazySort first detects the ordered data segment in the memory and then records the storage location of the data segment as well as its maximum/minimum values in an index table named ITable. Next, to reduce memory usage and accelerate the sorting procedure, LazySort performs an optimization strategy RunMerge to merge non-intersecting data blocks according to the range of ITable records. To verify the performance of LazySort, we built an experimental platform with the NVM-DRAM storage architecture combining NVM and dynamic random access memory (DRAM) and conducted a series of experiments. The experimental results show that LazySort is more efficient than the traditional external sorting algorithm, since the sorting time of LazySort is shortened by 93.08% and the number of NVM write operations is reduced by 49.50%. Moreover, the advantage of LazySort over traditional algorithms is more significant when the data amount increases.

절충교역 기술 활용성과 체계적 관리방안 연구

This study identifies problems with the Offset quantitative performance management methodology proposed by Kim Ki-hwan and Lee Sang-bok (2022) in 2022 to quantitatively evaluate the performance of R&D technologies obtained through Offset. In addition, domestic defense and private sector rating methodology management institutions are selected as advisory institutions to verify the validity and fair evaluation of major technical achievements obtained through compromise offset, and the characteristics and advantages of each institution are analyzed. Finally, to systematically database and manage the results created, a ‘computer management system construction plan’ is proposed by deriving essential elements of the computer management system and analyzing the system needs.

Influence of technology adoption on organizational performance: evidence from Paraguayan microenterprises

The use of technology can assist microenterprises in increasing their productivity, competitiveness, and effectiveness, as well as improving customer satisfaction. The goal of this study was to compare the administrative performance of participating microenterprises before and after implementing a computerized management system. Thirty-two microenterprise owners and managers were selected for this case study and participated in four phases of the action research method: an exploratory phase to identify needs, a planning phase during which the first performance measurement was conducted, an implementation phase, and finally a post-implementation evaluation phase in which a new performance measurement was performed. Based on the specific needs identified in the exploratory phase, a tailor-made management software was designed and implemented in the participating microenterprises. The Student’s T-test results show a statistically significant positive change. Most of the participants agree that the implementation has contributed to a significant improvement in administrative tasks and processes, making their overall work more efficient, more accurate and with greater speed. This indicates that a correct implementation of information and communication technologies based on specific needs has a positive impact on the administrative performance of microenterprises. The method used in this study could be useful for successful technology adoption in similar organizations.

Application of a Blockchain Model in the Energy Market for Social Goodness: A Simulator to Generate Transactions

An application of blockchain technology to manage electricity flows in a Microgrid (MG) is studied. The grid is considered for civil use, equipped with generation and storage systems, and interfaced with the national grid. It is composed of energy nodes such as user, generator, accumulator, and customs officer node, each characterized by its own time profile, in a limited time interval, of energy flow (consumption, generation, charge/discharge, purchase/sold). The proposed management strategy is based on the principle of free trade managed through blockchain. A simulation tool is developed to evaluate the electricity flows for different scenarios. The blockchain of energy transactions is generated by means of a dedicated software and having as reference a set of ethical/economical rules. It is demonstrated that it is possible to design energy management and exchange systems that allow in an economic way, within the delicate balance between energy availability, technology, market, safety, freedom and needs of individual users, to optimize the exchange of resources and to decrease waste. This blockchain exchange strategy can be implemented without building new plants and avoiding expensive and complex systems, by installing only bidirectional meters equipped with telecommunication, in addition to a common computer management system. The aim of this work is to demonstrate importance and technical feasibility of enforcing rules on the correct use of energy. The peer-to-peer operating mode is different from the technique currently in force in conventional energy systems, in which always a control body (energy, economic, financial) supervises and manages any transaction between users.