Infrastructure Readiness Research Articles

Generative Artificial Intelligence (GenAI) in Business: A Systematic Review on the Threshold of Transformation

This systematic review examines the transformative potential of Generative Artificial Intelligence (GenAI) across diverse sectors, including information technology, education, manufacturing, creative industries, healthcare, transportation, management, marketing, finance, energy, law, media, agriculture, and e-commerce. By analyzing its applications, the study highlights how GenAI enhances efficiency, fosters innovation, and addresses sector-specific challenges. Key benefits include the automation of complex processes, optimization of resource use, and acceleration of decision-making. However, delayed adoption risks such as workforce displacement and ethical dilemmas are also discussed. The review identifies critical barriers like data privacy concerns, algorithmic bias, and regulatory challenges. Practical strategies for successful GenAI integration are explored, emphasizing infrastructure readiness, workforce upskilling, and ethical governance. This includes leveraging generative models such as Generative Adversarial Networks (GANs), Transformer-based models, Variational Autoencoders (VAEs), and diffusion models to adapt to industry-specific demands. Furthermore, the study underscores the necessity of balancing technological advancements with responsible AI deployment to minimize risks and maximize societal benefits. By synthesizing existing research, this review provides actionable insights for stakeholders aiming to leverage GenAI's transformative capabilities responsibly. It emphasizes the urgency of adopting GenAI technologies to maintain competitiveness and sustainability in rapidly evolving markets. As the study concludes, it advocates for cross-sectoral collaboration to address the complex challenges posed by this paradigm-shifting technology and calls for adaptive policies to align innovation with ethical principles and societal values.

Ranking of Criteria Affecting the Implementation Readiness of Internet of Things in industries Using TISM and Fuzzy TOPSIS Analysis

The Internet of Things (IoT) technology has emerged as a vital driver across various fields, engaging businesses, platforms, and industries. IoT involves a holistic ecosystem and a value chain that necessitates the evaluation of impactful dimensions for successful implementation. This research employs the TISM method to identify driver and dependent criteria regarding IoT implementation readiness and uses the fuzzy TOPSIS method to rank these criteria. In the initial step, 15 criteria were identified through a review of previous studies. The TISM results reveal five levels reflecting the driver power and dependence of the criteria. Based on these results, “Implementation Knowledge and Expertise (C2)”, “Technical and Infrastructural Readiness (C9)” and “Financial and Investment Readiness (C12)” were placed at level 5, marking them as the most driver criteria. Additionally, “Implementation Roadmap (C8)” was identified as the most dependent criterion at level one. According to the fuzzy TOPSIS results, “Senior Management Support (C6)”, “IoT Usage Culture (C1)”, “Business Model Development Capability (C15)”, “Financial and Investment Readiness (C12)” and “Technical and Infrastructural Readiness (C9)” ranked first to fifth, respectively. The combined results provide valuable insights for decision-makers and stakeholders involved in IoT implementation. By determining driver and dependent levels and ranking the criteria, industries can effectively prepare for the successful implementation of IoT.

Integration of Digital Technology to E-Commerce Transactions as a Basis for Central Digital Currency Development

This study analyses the effect of digital technology integration on e-commerce transactions as a basis for Central Digital Currency (CBDC) development. By taking into account independent variables such as the number of internet users and the number of mobile device users, this study identifies the correlation between the development of digital technology and the adoption of e-commerce transactions with the potential implementation of Central Digital Currency (CBDC). Using the panel data regression analysis method, the results show a significant relationship between digital technology and an increase in the volume of e-commerce transactions, which can accelerate the development of Central Digital Currency (CBDC). The findings also strengthen the argument that the increased use of digital technology can be an important indicator in the development of digital currencies by central banks. This study suggests the need for more comprehensive regulations in support of the digital ecosystem and infrastructure readiness for Central Digital Currency (CBDC) in the future.

A roadmap for a Metaverse-based digital governance: A case of the Gambia.

This paper explores the integration of Metaverse technologies into the digital governance framework of The Gambia, in order to identify the sectors where these innovations can be implemented most effectively. Driven by the pursuit of cutting-edge solutions to improve governance, improve public service delivery, and promote citizen engagement, the study uses qualitative analysis methodologies, including interviews with Information Technology (IT) professionals and an examination of government reports. Through the application of NVivo software for data analysis, essential themes and areas suitable for Metaverse applications were uncovered. These include the potential of the Metaverse to fundamentally transform sectors such as education, public service, infrastructure development, urban planning, and cultural heritage tourism. Despite recognizing the capacity of the Metaverse for transformative impact, this research identifies significant obstacles, including technical infrastructure readiness, ethical issues, and the need for policy reform. The findings highlight the need to address these challenges through substantial improvements in digital infrastructure, literacy, ethical guidelines, and policy frameworks. The study calls for a multistakeholder collaboration model, which incorporates government, the private sector, academia, and international bodies, to ensure the successful integration of the Metaverse into the digital governance of The Gambia. Offering comprehensive insights and strategic recommendations, this research underscores the collective effort required of all stakeholders to harness the full potential of the Metaverse, thus facilitating an inclusive and efficient digital governance ecosystem in the Gambia.

Analysis of Learning Models in Secondary Schools to Improve the Quality of Student Education

This research examines various learning models implemented in secondary schools in different countries and their impact on the quality of education. In the context of globalization and rapid changes in the world of work, education is expected to develop skills relevant to future challenges. This research analyzes seven main learning models that have been proven effective in various countries, namely competency-based models, project-based learning, flipped classroom, inquiry-based learning, collaborative learning, problem-based learning, and technology-based models. Each model has its own characteristics and advantages, and is applied based on local needs and context. Competency-based models, for example, focus on developing students' practical skills needed in the world of work, while flipped classroom and technology-based models provide flexibility in material delivery and allow for more interactive learning. This study uses a literature study approach to collect data and information related to the implementation of these learning models. The results show that the implementation of the right learning model can improve students' motivation, engagement and learning outcomes. Other important factors are infrastructure readiness, teacher training, and education policy support for learning innovation. In Indonesia, the adaptation of these models can improve the quality of education at the secondary school level, provided that there are supporting policies and training for educators. This research provides recommendations for the development of more innovative and skills-based education policies to prepare young people for global challenges.

Study on the Utilisation of Internet of Things (IoT) Technology in Modern Agriculture Management

Internet of Things (IoT) technology has emerged as a potential solution to solve various problems in modern agriculture. This study uses a quantitative-descriptive approach with the aim of describing the application of IoT technology in agricultural management and identifying factors that influence its successful implementation. This approach is also complemented by a qualitative study to explore farmers' and experts' insights on the challenges and benefits of implementing IoS in the agricultural sector. The results show that the majority of informants have positive perceptions of the benefits of the application, especially in the form of improved water and fertiliser use efficiency, increased crop yields, and labour and time savings. The majority of farmers with a good understanding of the technology have a positive perception of its benefits, with 15 and 20 farmers rating it as very useful, respectively. However, there are major obstacles, namely the need for adequate infrastructure, training for farmers, and subsidising implementation costs. Theories of technological efficiency, technology adoption, and resource management support these findings, which suggest that successful implementation depends on infrastructure readiness as well as access and support for farmers.

Kompetensi Digital dan Manajemen SDM TNI pada Era Revolusi Industri 4.0

The main problem in managing TNI human resources in the Industrial Revolution 4.0 era is the skills gap in facing the demands of advanced technology. Many personnel are not fully ready to master technologies such as AI, big data, and IoT which are increasingly crucial in modern military operations. The purpose of this study is to analyze TNI Digital Competence and Human Resource Management in the Industrial Revolution 4.0 Era. The method used is qualitative descriptive using the SWOT approach. The results of the study show that digital transformation in human resource management and operations of the Indonesian National Army (TNI) in the Industrial Revolution 4.0 era is a crucial strategy to strengthen national defense. The use of technologies such as artificial intelligence (AI), big data, Internet of Things (IoT), and virtual simulation (VR) increases operational efficiency and the accuracy of TNI decision-making. This technology also facilitates more realistic and interactive personnel training and reduces the risks and costs of training. However, the success of this transformation is highly dependent on the readiness of infrastructure and budget. Cooperation with industry through public-private partnerships (PPP) is needed to accelerate infrastructure development such as 5G networks and cybersecurity systems. In addition, the development of competent human resources through continuous digital training is a key element in adapting to the dynamics of information-based global threats.

Fintech adoption and sustainable deployment of natural resources: Evidence from mineral management in Brazil

This research aims to investigate the influence of FinTech implementation on responsible mineral resources management in Brazilian economy. For the study purposes it has utilized data set from 1990 to 2022 and for data analysis the autoregressive distributed lag (ARDL) approach has been used. The results show cointegration correlation between FinTech adoption, investment in eco-friendly mining, government funding for FinTech in the mining industry, environmental compliance, technological readiness, and sustainable mineral extraction. The result shows that a 1% increase in FinTech adoption and technology infrastructure readiness would improve sustainable mineral management by 0.01% and 0.03% respectively. However, a 1% increase in the government funding for FinTech in the mining industry, environmental compliance, and investments in sustainable mining technology adversely affect sustainable mineral management by 0.2%, 0.1%, and 0.1% over the long term. The finding provides insight about how variables may affect sustainable mining policies in the future. FinTech adoption and technology flexibility are expected to have a favorable impact on natural resources. This research offers important insights for using natural resources responsibly in the shift to Industry 4.0 by utilizing FinTech and technological readiness in Brazil.

Analisis Kesiapan Guru dalam Implementasi Kurikulum Merdeka di SMP Negeri 2 Panti

This research is motivated by the fact that teachers are not yet fully prepared to implement the Merdeka Curriculum in schools, as they do not fully understand the curriculum structure, Learning Outcomes (LO), Learning Objectives (LO), Learning Objective Flow (LOF), and the understanding of the Pancasila Student Profile Strengthening Project (PSPSP), which has not been fully comprehended by each teacher. Supporting facilities and infrastructure are available but are not yet complete. This study aims to analyze the readiness of teachers in implementing the Merdeka Curriculum at SMP Negeri 2 Panti, Panti District, Pasaman Regency, West Sumatra Province. This research is descriptive with a qualitative approach. This method was chosen according to the needs of this research, namely to analyze the readiness of teachers at SMP Negeri 2 Panti in implementing the Merdeka Curriculum. Data analysis was conducted using a Likert scale. Based on validity tests by teachers, the understanding of the curriculum structure is categorized as very ready with an average of 92.33%. The readiness of lesson planning has an average of 95.33% with a very ready criterion. The readiness of the learning process has an average of 89% with a very ready criterion. The readiness of teaching modules has an average of 90% with a very ready criterion. The readiness of facilities and infrastructure has an average of 92% with a very ready criterion, and the readiness of assessment has an average of 94% with a very ready criterion. Teachers' readiness in implementing the Merdeka Curriculum at SMP Negeri 2 Panti is very ready to execute the Merdeka Curriculum.

Digital Mental Health Interventions for Adolescents in Low- and Middle-Income Countries: Scoping Review.

Digital mental health interventions (DMHIs) are increasingly recognized as potential solutions for adolescent mental health, particularly in low- and middle-income countries (LMICs). The United Nations' Sustainable Development Goals and universal health coverage are instrumental tools for achieving mental health for all. Within this context, understanding the design, evaluation, as well as the barriers and facilitators impacting adolescent engagement with mental health care through DMHIs is essential. This scoping review aims to provide insights into the current landscape of DMHIs for adolescents in LMICs. The Joanna Briggs Institute scoping review methodology was used, following the recommendations of the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews). Our search strategy incorporated 3 key concepts: population "adolescents," concept "digital mental health interventions," and context "LMICs." We adapted this strategy for various databases, including ACM Digital Library, APA PsycINFO, Cochrane Library, Google Scholar (including gray literature), IEEE Xplore, ProQuest, PubMed (NLM), ScienceDirect, Scopus, and Web of Science. The articles were screened against a specific eligibility criterion from January 2019 to March 2024. We analyzed 20 papers focusing on DMHIs for various mental health conditions among adolescents, such as depression, well-being, anxiety, stigma, self-harm, and suicide ideation. These interventions were delivered in diverse formats, including group delivery and self-guided interventions, with support from mental health professionals or involving lay professionals. The study designs and evaluation encompassed a range of methodologies, including randomized controlled trials, mixed methods studies, and feasibility studies. While there have been notable advancements in DMHIs for adolescents in LMICs, the research base remains limited. Significant knowledge gaps persist regarding the long-term clinical benefits, the maturity and readiness of LMIC digital infrastructure, cultural appropriateness, and cost-effectiveness across the heterogeneous LMIC settings. Addressing these gaps necessitates large-scale, co-designed, and culturally sensitive DMHI trials. Future work should address this.

Pengaruh Penggunaan Sistem Informasi Kepegawaian Terhadap Kualitas Pelayanan Administrasi di Sektor Publik

The Personnel Management Information System (SIMPEG) is a technology-based application used to manage personnel data in a centralized, efficient, and accurate manner. SIMPEG enables various administrative processes, such as payroll, promotions, and employee data management, to be automated, which were previously done manually and prone to errors. This study discusses the concept of SIMPEG, its implementation stages, and its benefits in improving efficiency, data accuracy, service transparency, quick decision-making, and centralized resource management. The research findings show that SIMPEG reduces manual workload, enhances the accuracy and speed of access to employee data, and supports better and more timely decision-making. In addition, SIMPEG increases transparency in administrative processes, reduces operational costs, and strengthens public trust in government institutions. However, the successful implementation of SIMPEG depends on the readiness of technological infrastructure and user training. Therefore, infrastructure development and training are crucial to optimizing SIMPEG use throughout Indonesia.

Improving airway management in pediatric emergency intubation: A narrative review with a focus on bougie guidance in settings with limited resources

AbstractBackgroundEffective airway management in pediatric emergency settings, especially in resource‐limited environments, presents unique challenges that necessitate innovative solutions.ObjectivesThis review investigates the role of bougie‐guided pediatric intubation as a crucial technique in addressing these challenges.MethodsA comprehensive search of peer‐reviewed literature was conducted using reputable databases such as PubMed, Scopus, Google Scholar, and Web of Science. Suitable keywords and Medical Subject Headings terms were employed. Data extraction focused on study design, patient demographics, intervention protocols, primary outcomes, and safety profiles. A qualitative synthesis was performed to provide a comprehensive narrative review.ResultsPediatric bougies, known for their cost‐effectiveness and adaptability, emerge as promising tools for successful and efficient pediatric intubation. Comparative studies indicate that bougie use results in superior first‐pass success rates and reduced intubation times. Case studies highlight the bougie's versatility in managing difficult pediatric airways.ConclusionsThe bougie's cost‐effectiveness positions it as a practical solution to disparities in treatment levels. Successful pediatric intubation in resource‐limited settings requires improved accessibility, standardized proficiency, and infrastructure readiness. Integrating the bougie into pediatric airway management guidelines represents a proactive approach to these challenges.

Exploring the Readiness for Electronic Voting (E-Voting) in Emerging Economies: Evidence from Dodoma, Tanzania

There has been a lot of research on e-voting recently. Most studies assume that the implementation of e-voting is not merely about technology but also relates to several critical factors, such as the readiness of human resources and infrastructure, public trust, and others. This study explored the readiness for e-voting in developing countries, a case study of Tanzania. Specifically, the study aimed to examine the challenges of the current voting system, establish the e-voting readiness status in Tanzania, and find out factors for establishment of e-voting system in Tanzania. This study was quantitative in nature and obtained data from 196 respondents selected from Independent National Electoral Commission (INEC) officers and voters in Dodoma using purposive and convenient sampling techniques. Data was obtained from questionnaires distributed to officers and voters. The obtained data were analysed through descriptive statistics by the help of MS excel. The results show that the current voting system is faced with several challenges including limited safety, lack of trust, threat and insecurity vulnerability to mention but a few. It was further revealed that respondents were ready to adopt and use e-voting because it improves voters’ trust, ease voting procedures, reduces transportation costs on election materials/equipment and saves time. The study recommends the Independent National Election Commission of Tanzania, through various stakeholders see the possibility of establishing e-voting to achieve free and fair elections.

Environmental Knowledge, Awareness, Attitude Toward Purchase Intention, Mediated by Infrastructure Readiness & Price Affordability of Electric Vehicle (EV): Case in Indonesia

The study investigates the impact of electric vehicle (EV) technology on Indonesia's automotive industry and economy, emphasizing EVs' role in emission reduction. Factors affecting EV uptake, including purchasing behavior and environmental awareness, are analyzed, contributing to the theory of planned behavior. Data from 136 respondents were collected through surveys, revealing positive correlations between environmental awareness, knowledge, attitude, and purchase intent. Price affordability emerges as an intervening variable. The study offers insights for the gradual integration of EVs into Indonesia's automotive sector, highlighting initiatives by both manufacturers and the government, such as introducing EV options and implementing regulations related to energy, charging infrastructure, and taxation. This research underscores the importance of addressing consumer perceptions and market dynamics to facilitate the transition toward electric mobility in Indonesia.

The role of readiness for change on behavioral intention viewed from performance and effort expectancy in the implementation of electronic medical records

Background: Technological developments have triggered a transformation in the implementation of electronic medical records (RME) in Indonesia, in line with regulations that require the implementation of RME in all health service facilities by the end of 2023. Although it has been proven to increase efficiency and reduce medical errors, the implementation of RME faces challenges such as infrastructure readiness and risk factors cultural. Purpose: To identify factors that influence the success of RME implementation, including performance expectations and the use of RME in health facilities in Indonesia. Method: The design of this research is quantitative, observational analytical type with a cross-sectional approach. The population of this study were employees of Community Health Centers in Kediri Regency. The probability sampling technique using a random sampling approach obtained a sample of 336 employees in 33 Community Health Centers and SmartPLS 2.9.8 was used to test the hypothesis. The variables used in this research are: performance expectancy (X1), effort expectancy (X2), Readiness for Change (Z), and Usage Intention (Y). Results: The results of the research show that there is a direct influence of performance expectancy, effort expectancy, and Readiness to Change on Usage Intention with P = 0.000. Individual Change Readiness Mediates performance expectancy and effort expectancy on Usage Intention, which has a significant effect with a P value of 0.001. Conclusion: This research concludes that new insights into the critical role of change readiness as a mediator between technology acceptance factors and behavioral intentions.

Studi Pelaksanaan Kurikulum Merdeka pada SMK Amaliah 2 Ciawi Bogor

This research aims to analyze the implementation of the Independent Curriculum at SMK Amaliah 2 Ciawi Bogor. The Independent Curriculum, initiated by the Ministry of Education, Culture, Research, and Technology, focuses on flexible and student-centered learning. This study uses a descriptive method with a qualitative approach. Data were collected through interviews, observations, and documentation. The results of the study indicate that the implementation of the Independent Curriculum at SMK Amaliah 2 faces several challenges, especially in terms of teacher adaptation to new approaches, infrastructure readiness, and student understanding of the learning system. However, this curriculum provides students with more freedom in choosing subjects and projects that suit their interests and talents, and encourages independence in the learning process.

Impact Of International Trade On Regional Economic Growth

This study aims to analyze the impact of international trade on regional economic growth through literature studies. International trade is one of the main drivers of economic growth in the era of globalization. Despite a significant increase in the volume of global trade, the distribution of benefits is not always evenly distributed across regions. Some regions with adequate infrastructure access and supportive economic policies experience rapid economic growth, while other less developed regions face limitations in taking advantage of international trade opportunities. This study shows that international trade contributes significantly to increasing Gross Regional Domestic Product (GRDP), investment, and job creation, although these impacts depend on the readiness of infrastructure and the competitiveness of each region. Factors such as government policies and access to global markets also play a role in influencing the benefits obtained. This study recommends policies for infrastructure development and strengthening the competitiveness of local products to ensure that all regions can feel the optimal benefits of international trade. The results of this study provide direction for the government in formulating policies that encourage inclusive and sustainable economic growth at the regional level.

Analysis of Educational Technology Approaches in Supporting Health Services at College Clinics

Educational technology is a growing area of interest, including healthcare management in higher education. This study aims to evaluate the role of educational technology in improving health service management in college clinics, with a focus on the Universitas Negeri Manado Clinic. The research method used was a qualitative approach with data collection techniques including in-depth interviews, direct observation, and documentation. Data were analyzed using the triangulation method to identify key themes and in-depth interpretation of the influence of educational technology on health services. The results showed that the implementation of educational technology in college clinics can improve the efficiency and effectiveness of health services. Information technologies such as electronic medical record management systems and e-learning platforms have helped to improve the process of planning, implementing and evaluating health services. However, there are challenges in terms of system integration and additional training needs for staff. This study found that while educational technology provides significant benefits, its successful implementation is highly dependent on infrastructure readiness and user skills. Suggestions for improvement include increasing technology training for staff, updating hardware and software, and strengthening evaluation procedures to ensure that technology can be optimally used to improve the quality of health services.

The Evolution of Education in the Singularity Era: Facing the Opportunities and Challenges of Future Technologies

The singularity technology revolution promises profound transformations in education. This article explores how singularity technologies, including artificial intelligence (AI), machine learning, augmented reality (AR), virtual reality (VR), and the Internet of Things (IoT), are impacting teaching and learning methods. Exploring aspects of personalized learning, greater accessibility, and enhanced collaboration, the article examines the impact of these technologies on students, teachers, and educational institutions. While offering great potential to improve the quality of education, the adoption of singularity technologies also presents challenges such as infrastructure readiness, data security, and implementation costs. Through case studies and in-depth analysis, the article provides a comprehensive insight into how education will evolve in the era of singularity technologies

AI Challenges and Strategies for Business Process Optimization in Industry 4.0: Systematic Literature Review

The rise of Industry 4.0 has introduced significant transformations in business operations, with Artificial Intelligence (AI) playing a central role in automating processes, enhancing decision-making, and improving efficiency. However, despite its potential, many organizations face critical challenges in implementing AI, particularly in terms of technological infrastructure readiness, workforce capabilities, and ethical considerations. This research aims to identify the challenges and propose effective strategies for AI implementation in business processes, particularly within the context of Industry 4.0. A systematic literature review (SLR) was employed to analyze peer-reviewed studies that discuss AI integration across various industrial sectors. The findings indicate that the primary challenges include the integration of AI with existing legacy systems, data privacy concerns, and employee resistance due to the perceived threat of automation. Additionally, the lack of adequate training and infrastructure investment further hampers AI adoption. In response, the research highlights strategies such as upgrading technological infrastructure, continuous employee training, and the development of clear ethical guidelines to address these challenges. The research contributes by providing a comprehensive framework for businesses to successfully navigate AI implementation, offering a novel perspective on balancing technological advancements with human resource development and ethical concerns, essential for long-term business sustainability in the digital era