Technology Infrastructure Research Articles

Influencing the Adoption of e-Government: A Systematic Literature Review

This Systematic Literature Review study discusses the factors that influence the adoption of e-government services with varsiability in the influence of these factors in various countries. The research confirms the importance of trust, performance expectancy, effort expectancy, social influence, and facilitating conditions in the acceptance and adoption of e-government services. Trust factors, especially related to information security and government transparency, were found to be key elements in driving e-government adoption. In addition, the expectation of benefits obtained, ease of use, and influence from the social environment also play an important role in people's decision to use the service. Suggested recommendations to increase e-government adoption involve improving technology infrastructure, supportive policies, technology training for government personnel, as well as an approach that considers local community conditions and factors. This study provides important insights for governments and agencies in improving e-government services and increasing the adoption of these technologies across various social and cultural environments.

HOME OFFICE: IMPACTOS E OPORTUNIDADES DEVIDO A COVID 19

The COVID-19 pandemic has brought a significant transformation to the workplace, highlighting home office as a crucial solution for maintaining business operations. Remote work quickly emerged as a necessary response to the restrictions imposed by the pandemic, allowing companies to sustain productivity while ensuring employee safety. However, the transition to home office was not without challenges, including issues related to technological infrastructure, information security, and remote team management. Despite these challenges, home office has proven to be an opportunity to rethink work models, bringing benefits such as reduced operational costs and increased flexibility for employees. Companies have come to realize that implementing remote work policies can improve work-life balance and enhance employee satisfaction and retention. Additionally, the experience gained during the pandemic is shaping the future of work, with emerging trends towards hybrid and flexible models that combine the best of remote and in-person work. The future of home office appears promising, with new opportunities for innovation, efficiency, and the development of more adaptive and inclusive work practices.

The Role of AI Technology in Constructing Digital English Classrooms in Underdeveloped Areas

As a key part of basic education, English education in primary schools is of great significance to the personal development of students and the construction of society and has received extensive attention from society. However, primary English education in underdeveloped regions of China is still relatively backward. In recent years, the rapid development of AI technology has realized information communication in education, which has become the key force in promoting the digital transformation of English classrooms in underdeveloped regions and the potential to bridge the education gap between areas. This paper is based on the teaching characteristics of the current primary school English subject, combined with the current development of AI technology applied to English teaching, for building the digital classroom of primary school English in underdeveloped areas puts forward the following relevant recommendations. China should accelerate the implementation of infrastructure construction and technology introduction in underdeveloped areas, and strengthen the training of digital literacy and media awareness for primary school English teachers. Primary schools in underdeveloped areas should use AI technology as a teaching aid to build a "double-teacher" English classroom teaching mode and a curriculum feedback platform based on this technology, to effectively promote the digital transformation of English classrooms in underdeveloped areas.

Occurrence and Causes of Large dB/dt Events and AL Bays in the Pre‐Midnight and Dawn Sectors

AbstractA necessary condition for the generation of Geomagnetically Induced Currents (GICs) that can pose hazards for technological infrastructure is the occurrence of large, rapid changes in the magnetic field at the surface of the Earth. We investigate the causes of such events or “spikes” observed by SuperMAG at auroral latitudes, by comparing with the time‐series of different types of geomagnetic activity for the duration of 2010. Spikes are found to occur predominantly in the pre‐midnight and dawn sectors. We find that pre‐midnight spikes are associated with substorm onsets. Dawn sector spikes are not directly associated with substorms, but with auroral activity occurring within the westward electrojet region. Azimuthally‐spaced auroral features drift sunwards, producing Ps6 (10–20 min period) magnetic perturbations on the ground. The magnitude of is determined by the flow speed in the convection return flow region, which in turn is related to the strength of solar wind‐magnetospheric coupling. Pre‐midnight and dawn sector spikes can occur at the same time, as strong coupling favors both substorms and westward electrojet activity; however, the mechanisms that create them seem somewhat independent. The dawn auroral features share some characteristics with omega bands, but can also appear as north‐south aligned auroral streamers. We suggest that these two phenomena share a single underlying cause. The associated fluctuations in the westward electrojet produce quasi‐periodic negative excursions in the AL index, which can be mis‐identified as recurrent substorm intensifications.

New trends in the use of computer tools for teaching-learning in health

Introduction: Computer tools have revolutionized health sciences education, allowing students and professionals to acquire knowledge and skills more effectively. This study analyzes new trends in using computer tools for teaching-learning in Health. Objective: Analyze new trends in using computer tools for teaching-learning in Health. Methodology: A systematic review was carried out using the PRISMA method. Inclusion and exclusion criteria were applied to select relevant articles published between 2020 and 2024 in English and Spanish. Search engines such as Google Scholar, PubMed, Elsevier and SciELO were used. The extracted data were organized in tables with indicators such as title, authors, year, design, results and interpretation. Results: Various computer tools used in health education were identified, such as virtual reality, artificial intelligence, gamification, social networks and online learning platforms. These tools demonstrated improvements in knowledge acquisition, clinical skills, student satisfaction, and engagement. However, challenges were identified such as the need for teacher training, technological infrastructure, and ethical considerations. Furthermore, methodological limitations were found in many studies. Conclusions: This systematic review analyzed new trends in using computer tools for teaching-learning in Health. The findings suggest that these tools have great potential to improve medical education, but their effective adoption requires addressing challenges such as teacher training, infrastructure, and ethical issues. More robust research is needed, especially in developing countries, to consolidate the evidence and guide new technologies

Equipping New English Graduates for Professional Teaching Careers: A Strategic Preparation Program

This research aims to explore the critical preparations necessary for fresh graduates to effectively engage in a professional teacher program, focusing on identifying specific challenges and enablers within this process. Employing a case study design, this research leverages qualitative interviews to capture in-depth perspectives from participants, enabling a nuanced exploration of the complexities involved in preparing for professional teacher programs. The research involved interviewing six professional teachers, including three who have participated in the in-service Professional Teacher Program (PPG) and three who have undergone the pre-service PPG. These teachers represent five different districts, which enhances the validity and generalizability of the findings. The selected participants are educators who have completed their professional teaching certification within the past three years, ensuring that the insights gained are current and relevant. The research identified six major themes: infrastructure challenges, health considerations, family support, technology mastery, financial constraints, and teacher qualifications. These themes emerged from the interviews and reflect the diverse experiences and obstacles faced by teachers in preparing for and undergoing professional development. This study provides actionable insights and can also inform the refinement of strategies for both preparation and development of targeted support systems for prospective teachers, which ultimately enhance the effectiveness of professional teacher programs for the present and the future. This study provides information that education with a well-planned and effective system can encourage better student quality and ability.

Actual problems of remote patient monitoring

Remote patient monitoring (RPM) is an innovative technology that provides continuous monitoring of patients' health from a distance. The RPM system is versatile because it can be used in the treatment of acute and chronic conditions, helping doctors keep their patients under control between ward rounds or the absence of personal care. However, the implementation of this system is accompanied by numerous problems: from technical to hospital staff management problems. The object of this study is the technical challenges associated with the use of the RPM system. The problem lies in the imperfection of many elements of RPM, including: data management, sensor accuracy, compatibility and user acceptance of the technology. The research found that these technical challenges arise from insufficient standardization, poor sensor data quality, and interoperability issues between medical platforms. These results are explained by the complexity of the technological infrastructure and the need to improve the qualifications of medical workers. The main goal of the current article is to solve the scientific and technical problem of RPM through the proposal of an effective practical development - an automated system for remote monitoring of patients. Since most processes are moving towards their automation, by using the latest scientific developments, among which we can recall machine learning and neural networks and Internet of Things (IoT) technology, it was decided to consider the factors of their application in remote patient monitoring systems. The results of this study can be used to optimize RPM systems in hospitals, as well as to improve the reliability and efficiency of new automated monitoring systems, which is extremely important in the context of war, which causes a shortage of medical personnel and an increase in the number of potential patients per doctor.

UNPACKING THE RESISTANCE OF TRADITIONAL MARKET TO DIGITAL PAYMENT: A QUALITATIVE APPROACH

This research aims to discover how knowledgeable traditional market traders are regarding digital payment technology, what challenges traders face when trying or considering using digital payments, and how prepared traders are for traditional market digitalization programs. The research method used is qualitative research, which is conducted in-depth interviews with traditional market traders at Kebayoran Lama Market, South Jakarta. The research was conducted in June 2024 and visualized using NVIVO software. The interview results show that traditional market traders' understanding of digital payments shows that awareness, education, trust, and security factors play an essential role in adopting this technology. Overcoming the challenges of adopting digital payments requires a holistic approach that includes improving security and privacy, user education and training, developing technological infrastructure, reducing transaction costs, encouraging social and cultural influence, and increasing merchant support. Meanwhile, to increase the readiness of traditional market traders in facing digitalization, several strategic steps are needed, including comprehensive education and training to increase optimism and reduce discomfort, providing easily accessible technical support, security campaigns to explain digital payment system security measures, as well as promotions and incentives to encourage technology adoption.

Configuración de una red LAN utilizando Python scripting para generar redes definidas por software (SDN).

Network management is an essential task in modern organizations, where the complexity of technological infrastructures demands efficient and accurate solutions. With network devices from leading manufacturers such as Cisco and Mikrotik. In response to these challenges, automating the configuration of network devices has gained popularity as an approach to improve efficiency and reduce errors. Python, a programming language widely adopted for its versatility and ease of use, has become a key tool for this automation. Within this ecosystem, Netmiko emerges as a specialized library that facilitates automated interaction with network devices using SSH. Netmiko allows network administrators to write scripts that can connect to Cisco and Mikrotik devices, execute configuration commands, and retrieve information about the network status. This approach not only speeds up the configuration process, but also ensures consistency and accuracy in deploying configurations, especially in multi-device environments. As networks continue to grow in complexity, the adoption of tools such as Netmiko becomes essential to maintaining the operability and security of network infrastructures.

Assessing Southeast Asia countries’ potential in the semiconductor supply chain: an objectively weighting multi-criteria decision-making approach

The semiconductor industry serves as a key enabler of technological progress and economic growth on a global scale. With Southeast Asia emerging as a region of increasing importance in the global supply chain landscape, understanding the potential for its countries to participate in the semiconductor supply chain becomes crucial. Despite extensive research on global supply chain dynamics, a focused analysis on the role of Southeast Asia within this crucial industry has been notably absent, particularly considering recent geopolitical and economic shifts. This gap has been filled by employing a rigorously designed Multi-Criteria Decision Making (MCDM) approach that integrates the Criteria Importance Through Intercriteria Correlation (CRITIC) method and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Data on fifteen indicators, including economic stability, technological innovation capacity, and infrastructural capabilities, were collected and identified through an extensive literature review and consultations with stakeholders. These indicators were weighted using the CRITIC method to reflect their relative importance, and each country’s position relative to an ideal solution was assessed using the TOPSIS method. It was revealed that countries such as Singapore and Malaysia possess significant potential due to their advanced technological infrastructure and stable economic environments. Other countries, like Vietnam and Indonesia, were also found to exhibit promising capabilities, albeit with certain limitations. The study highlights the varying strengths and strategic areas that should be considered by policymakers and investors to enhance integration into the global semiconductor supply chain. Significant contributions to the strategic decision-making process have been made by providing a nuanced analysis of the region’s readiness and identifying specific areas for investment and policy intervention. By offering a methodological framework that can be adapted to other regions and sectors, not only has an existing research void been filled, but the practical understanding of effectively leveraging Southeast Asia’s potential in the semiconductor industry has also been enhanced.

Theoretical Perspectives on Blended Learning Integrating Traditional and Digital Pedagogies

Blended learning, which combines traditional face-to-face instruction with digital pedagogies, has gained increasing attention in educational research and practice. This paper explores various theoretical perspectives on blended learning, examining its effectiveness, challenges, and future directions. By integrating traditional and digital pedagogical approaches, blended learning offers a flexible and adaptive learning environment catering to diverse student needs. Theoretical frameworks such as constructivism, connectivism, and the Community of Inquiry (CoI) model are discussed to provide a comprehensive understanding of how blended learning can enhance educational outcomes. This study also highlights the importance of teacher training, curriculum design, and technological infrastructure in the successful implementation of blended learning

An Investigation on the Digital Collection Development Competency and Training Needs of Library Professionals in Pakistan

This study investigates the specific requirements for training and enhancing digital collections management for library professionals in Pakistan. The approach is centered around three primary objectives: ascertaining the professional training prerequisites for library professionals overseeing digital collections; assessing the extent of progress in digital collections within university libraries; and pinpointing the obstacles encountered by librarians and library professionals in this domain. The findings indicate a significant deficiency in resources and training for professionals, highlighting the need for specialized training in areas such as digital copyright and preservation techniques. Recommendations for enhancing digital library services encompass more financial resources and targeted training programs. This study addresses significant subjects such as misunderstandings regarding digital libraries, inadequate technological infrastructure, a shortage of skilled workers, copyright difficulties, cultural and digital obstacles, and financial constraints. Resolving these challenges not only has the potential to expedite the establishment of digital libraries in Pakistan but also has the capacity to serve as a model for other developing countries.

Development characteristics, problems and countermeasures of major scientific and technological infrastructures in the field of life sciences

The major science and technology infrastructure in the field of life science is an indispensable and important content in the large-science facility landscape. It encompasses cutting-edge, strategic, and fundamental aspects. This field differs from traditional facilities such as particle physics, astronomy and nuclear energy. Moreover, it represents a relatively underdeveloped area in China's facility landscape. Unique characteristics are observed in terms of capital investment, physical form, facility lifespan, digitization degree, organizational structure, project risk, and development effect when compared to traditional facilities. Despite its importance, challenges persist in project establishment, investment, management, and construction. Therefore, it is necessary to strengthen the condensing mechanism for addressing major scientific issues in the life science field, improve the strategic investment layout, facilitate the localization of technical equipment based on original scientific ideas, and strengthen the differentiated management capacity of life science facilities.

Optimal Management of Energy Storage Systems in Hospitals with Quantum Spherical Fuzzy Decision-Making Modelling

The purpose of this study is to identify prioritized strategies to increase the effectiveness of energy storage investments in hospitals. For this purpose, 5 literature-based criteria affecting energy storage investments in hospitals are identified. These criteria are weighted by the quantum spherical fuzzy DEMATEL method. On the other side, 4 different renewable energy alternatives are identified. The performance of these alternatives are ranked with quantum spherical fuzzy TOPSIS approach. It is determined that storage capacity is the most critical factor to increase the effectiveness of the energy storage systems in the hospital. Similarly, technological infrastructure is another key issue for the development of this process. However, it is also seen that security issues, legal effectiveness and financial situations have the lower weights. In addition to them, the ranking results demonstrate that wind energy is the most appropriate renewable energy type with respect to the energy storage performance of the hospitals. Geothermal energy can also be considered for this situation. On the other hand, solar and hydropower energy types have lower performance in this framework.

Adaptive Stakeholder Management in Social Startups

This research examines the implementation and outcomes of stakeholder relationship management (SRM) strategies in social startups, focusing on Indonesia's Social Organization Matchmaking program. Conducting by a qualitative approach, this study explores how the Outreach Campaign team designed and implemented SRM strategies to engage diverse Organizations within a resource-constrained, emerging market context. The findings highlight a multifaceted SRM approach encompassing strategic communication, personalized engagement, value co-creation, and digital interaction. This adaptive strategy significantly enhanced program outcomes, including a higher success rate in matching Organizations with sponsors, increased retention, and overall satisfaction. Key factors contributing to effective SRM were identified, such as fostering trust through transparent communication, cultivating commitment through shared value creation, and balancing digital and traditional engagement methods. Contextual factors, including cultural norms, economic realities, technological infrastructure, and regulatory environment, shaped SRM strategies.

MHealth Service Effects for Negative Emotions Among Parents of Preterm Infants: A Systematic Review and Meta-Analysis.

This review aims to ascertain the effects of mHealth on negative emotions among parents of preterm infants and analyze the current state of mHealth services in this context. Caring for preterm infants often engenders negative emotions in parents, such as anxiety, depression, and stress. Mobile Health (mHealth) services offer potential benefits for preterm infant care. However, there are several uncertainties regarding the impact of mHealth services on parental emotions. Randomized controlled trial (RCT) and quasi-RCT were published in English and Chinese until 2023 and are available in the electronic databases of MEDLINE, EMBASE, the Cochrane Central Register of Controlled Trials, Web of Science, Cumulative Index to Nursing and Allied Health Literature (CINHAHL), Chinese Biomedical Literature Database, China National Knowledge Infrastructure, Wanfang Database, and China Science and Technology Journal Database were reviewed. Review Manager 5.4 was employed for random-effects meta-analysis. Seven RCTs and 6 quasi-RCTs with high risks were included, most of them were based on small sample size and single-centered. Meta-analysis demonstrated that mHealth interventions mitigated negative emotions, including anxiety (standard mean difference [SMD]=-1.07; 95% confidence interval [CI], -1.47 to -0.66; P<0.0001), depression (SMD=-1.94; 95% CI, -3.01 to -0.86; P<0.0001), and stress (SMD=-1.24; 95% CI, -2.07 to -0.40; P<0.0001), among parents of preterm infants. It is recommended to develop independent specialized software for mHealth, enhance theoretical underpinnings, and standardize practical protocols. Incorporating early recognition and screening of negative emotions within mHealth could offer comprehensive support for the mental health of parents with preterm infants. The mHealth-based interventions are needed to focus on the parents' emotional needs and minimize the impacts associated with mental stress.

Toward a new model for the successful implementation of information and communication technologies in education

The design of our Information and Communication Technologies for Education (ICT4E) implementation model highlights its adaptability to local realities, considering available resources, existing technological infrastructures, and the specific needs of learners. However, it is crucial to recognize that the inherent variability of educational contexts and resource constraints can present challenges to a generalized application of the model. In addition, the rapid pace of technological change can have an impact on the ongoing training of teachers, requiring constant vigilance to maintain the relevance of their pedagogical skills. Despite these challenges, our model stands out for its adaptable approach, encouraging ongoing adjustments to respond effectively to the diversity of educational environments. In addition, the prospect of research and innovation, the promotion of interdisciplinary collaboration and the adoption of holistic evaluation are essential strategies for strengthening the robustness of our model. However, it is imperative to remain attentive to ethical considerations, the issue of equity and inclusion, and the long-term impact of integrating ICT into education. Ultimately, our model aspires to be a balanced solution, aware of the challenges and open to the developments needed to ensure the harmonious and optimal integration of ICT into today’s educational landscape.

A financial inclusion model for Nigeria: Standardizing advisory services to reach the unbanked

Financial inclusion remains a significant challenge in Nigeria, where a large segment of the population, particularly in rural areas, lacks access to formal financial services. This review proposes a standardized advisory services model designed to bridge the gap between financial institutions and the unbanked. The model aims to address key barriers, including low financial literacy, lack of trust in financial systems, and limited access to technology and infrastructure. By integrating financial literacy programs, digital advisory platforms, and community-driven partnerships, the model offers a comprehensive solution to expand financial inclusion in Nigeria. The review explores the demographic characteristics of Nigeria’s unbanked population and the underlying reasons for their exclusion from the formal financial system. It highlights the role of standardized advisory services in building trust and providing accessible financial education, savings, and credit opportunities. Drawing from global examples such as Kenya’s M-Pesa and India’s Jan Dhan Yojana, the model incorporates best practices for outreach and engagement. A critical component of the model is its reliance on digital and mobile technology to deliver services to underserved communities. Additionally, the review emphasizes the importance of a strong regulatory framework, with the Central Bank of Nigeria playing a key role in monitoring and enforcing standards. The model also outlines challenges to implementation, including cultural resistance, technological infrastructure gaps, and sustainability concerns. By promoting financial inclusion, this advisory services model is expected to foster economic empowerment, poverty reduction, and overall economic growth in Nigeria. The review concludes with policy recommendations, urging collaboration between public and private sectors to ensure the scalability and success of the model across diverse regions. Keywords: Financial Inclusion, Advisory Services, Nigeria, Review.

Critical Success Factors for the Widespread Adoption of Virtual Alternative Dispute Resolution (VADR) in the Construction Industry: A Structural Equation Modeling Analysis

This study explores the increasing adoption of virtual alternative dispute resolution (VADR) in the construction industry, enhancing efficiency and accessibility in dispute resolution. VADR is crucial for streamlining processes and reducing participation barriers. The study aims to investigate the critical success factors (CSFs) influencing the adoption of VADR in the construction sector. Given the rising importance of VADR technologies, understanding the key factors driving their acceptance is crucial. The background highlights the growing reliance on innovative technologies to boost operational efficiency and decision-making processes. The data for the study were collected using a cross-sectional design with online structured survey questionnaire (N = 97) from diversified construction industries. Using Smart PLS 4, structural equation modeling (SEM) was employed to test the validity, reliability, and proposed hypotheses of the study. The results showed that cost factors had the greatest impact on VADR acceptance, followed by user competence and training, procedural adaptability, and technological infrastructure. Logistical assistance and legal frameworks also had a considerable favorable impact. However, stakeholder buy-in had no significant influence on VADR implementation. The implications indicate that economic feasibility, logistical readiness, flexible procedures, supportive legal contexts, and user skills are significant factors for successful VADR integration. Governments and organizations should deploy VADR technologies to encourage innovation and operational improvement in the construction industry.

Moving toward Bank 4.0 in India: a qualitative thematic analysis and future research agenda

Purpose The banking sector is more revolutionized than ever, with advanced technologies driving a seismic change in the financial industry. This study aims to understand how digital technologies influence banking sector employees and their perception of working in an era of Banking 4.0. Design/methodology/approach This study incorporated qualitative analysis to gain different insights from diverse respondents from banking industries. A purposive sampling method was adopted, and semistructured interviews were conducted, taking a sample of 72 respondents. All the transcripts were then analyzed using NVivo. Findings The findings focus on challenges related to understanding technology phenomena, managing changes, infrastructure, skills, competitiveness and regulatory mechanisms. This is further followed by the favorable impact of Banking 4.0 on employees and future avenues, such as innovation in financial services, work productivity, career opportunities and change management, banking 4.0 and banking 5.0, and banking 4.0 management strategies identified as the significant findings. Practical implications This study provides guidelines for Banking 4.0 provision strategy and conceptual reference toward the development of Banking 4.0. It also supports the Enhanced Access and Service Excellence 4.0 program, driven by the Indian Bank’s Association, to focus more on digitization, automation and data analytics. Originality/value The novelty of this research provides a qualitative hierarchy of significant challenges, favorable impacts and future research avenues of Banking 4.0 in the Indian banking sector.