Implementation Of Technology Research Articles

The impact of sports technology policy in Taiwan: the transformation of relevant organisational and stakeholder relationships

ABSTRACT Taiwan, renowned for its high-tech industrial development, and exemplified by its semiconductor industry, serves as the focal point of this study, which examines the transformative effects and challenges arising from the integration of technology and the formulation of sports technology policies within the elite sports landscape. Employing Actor Network Theory (ANT) as the research framework, a combination of semi-structured interviews involving 15 participants engaged in technology implementation in sports, along with supplementary document analysis, was undertaken. The findings highlight the influence of both domestic and international trends on the Taiwanese Government, which recognises ‘sports technology’ as a pivotal factor in enhancing athletic performance. The Ministry of Science and Technology (MOST) has spearheaded endeavours to introduce technology into the sports realm, fostering interdisciplinary collaboration among universities, academia, and industry. Moreover, the Executive Yuan has advocated for inter-ministerial collaboration to facilitate resource integration. How various stakeholders, particularly those in the public sector, private sector, academia, and non-profit sports organisations, can collaboratively sustain an operational and stable network remains a persistent concern in the pursuit of future advancements in sports technology.

The Implementation of Technology in School Learning Over the Last 50 Years: A Bibliometric Analysis of the Scopus Database

This research aims to analyze research trends in the field of technology use in the school environment. Using predetermined keywords, researchers selected documents using the PRISMA method and obtained 599 final documents which were analyzed using the R Program Biblioshiny, Publish or Perish 8, and VOSviewer to map trends in research results with bibliometric analysis. From this analysis it can be concluded that research on the use of technology in the school environment began in 1974 until 2024 with peak publications in 2023 and peak citations in 2018. The United States is the most productive country in the field of most productive countries. Nanyang Technological University is the most productive affiliate, recording the highest number of publications. Journal Q1 "Computers and Education" is the most productive journal with the highest h-index. Hyuksoo Kwon from the Republic of Korea is the writer with the highest h-index. The publication with the highest citations. There are 11 keyword clusters, with the keywords "Artificial Intelligence", “Programming”, “Digitization”, “Online Learning”, “Augmented Reality”, and “Cloud Computing” being the next recommended keywords if you want to do research in the field of use technology in the school environment.

Semantic Orchestration and Exploitation of Material Data: A Dataspace Solution Demonstrated on Steel and Copper Applications

In materials science and manufacturing, vast amounts of heterogeneous data (e.g., measurement and simulation logs, process data, publications) serve as the bedrock of valuable knowledge for various engineering applications. However, efficiently storing and managing this diverse data pose challenges due to limited standardization and integration across different organizational units. Addressing these challenges is essential to fully unlock the potential of data‐driven approaches. This article introduces novel, comprehensive semantic methodology tailored to materials engineering and realized as a technology stack named Dataspace Management System (DSMS), which powers dataspace solutions that leverage the knowledge encoded in heterogeneous data sources to support data‐driven insights and to derive new knowledge. At its core, DSMS offers a distinctive knowledge management approach tuned to meet the specific requirements of the materials science and manufacturing domain, all while adhering to the FAIR (findable, accessible, interoperable, reusable) principles. DSMS provides functionalities for data integration, linkage, exploration, visualization, processing, data sharing, and services (e.g., consulting) to support engineers in decision‐making, design, and optimization. An architectural overview is presented, outlining core concepts and their technological implementation. In addition, the applicability of these concepts to common data processing tasks is demonstrated through use cases from the StahlDigital and KupferDigital research projects within Germany's MaterialDigital initiative.

Using Multicriteria Decision Analysis to Assess Stakeholders Motivation toward Sustainable Packaging in the Fruit and Vegetable Value Chains of Rural Uganda

The use of better protective packaging is often viewed as a low-cost alternative for short-run reduction of post-harvest losses in the fruit and vegetable supply chains of sub-Saharan Africa. We present the exploratory results of mapping the fruit and vegetable value chain actors in rural Uganda and analyzing their influence on the adoption of packaging. We propose a decision-aiding model based on multicriteria analysis to obtain a motivation score for assessing the degree of interest of the value chain actors toward packaging. Because it combines quantitative and qualitative information, our approach constitutes a valuable tool in the context of planning for an appropriate implementation of an appropriate packaging technology. The results suggest that distributors are the most favorable for adoption of packaging, followed by collectors, farmers, and customers, in that order. By demonstrating the use of a multicriteria decision approach for identifying the actors most likely to adopt packaging, this work suggests that the proposed approach could be used by potential regulators and manufacturers to focus their efforts on developing a well-targeted packaging deployment strategy.

International Perspectives on Assistive Technologies for Autism and Intellectual Disabilities: Findings from a Delphi Study

Advancements in Assistive Technologies (ATs) have significantly improved the quality of life and autonomy for people with intellectual disabilities and autistic individuals, enhancing education, social interaction, employment, and mental health. Nevertheless, several barriers still emerge in the daily implementation of such technologies, highlighting the need to explore them in depth. Using a two-round Delphi method, we conducted a research study with an expert panel of 284 participants from 31 European countries, collecting quantitative and qualitative data. We tested ten future-oriented projections and gathered insights on participants’ backgrounds and attitudes towards ATs for this demographic. To enhance representation, experts from academia, service providers, industry, and disability organizations, as well as individuals with disabilities and their families, were included. Although the findings show strong consensus among experts on the positive impact and desirability of ATs for promoting the social inclusion of people with intellectual disabilities and autistic individuals, they also reveal differing perceptions across expert groups and identify two distinct future scenarios linked to different cultural, social, and economic hindrances. In this sense, our study provides diverse global perspectives, with the potential to help governing bodies understand the expectations, concerns, and needs related to ATs for often underrepresented groups–people with intellectual disabilities and autistic individuals in this case.

Digital and technological modernization of the world's largest West Siberian oil and gas production center

The article examines the results of digital and technological modernization of the oil and gas industry within the framework of the state program "Digital Economy 2017-2024" in the implementation of measures proposed by academic institutes of the Russian Academy of Sciences on the basis of a comprehensive scientific and technical program of a full innovation cycle, as well as the potential of exploratory and applied research to prepare a new state program "Data Economy" for the period up to 2030 of the year. The activities are a set of interrelated scientific, technical, digital solutions and innovative technologies that ensure the achievement of goals, developed with the leading participation of the Institute of Oil and Gas Problems of the Russian Academy of Sciences and the Institute of Oil and Gas Geology and Geophysics named after. A. A. Trofimuk SB RAS, program “Digital and technological modernization of the world’s largest West Siberian oil and gas production center.” The main goal of scientific research for the oil and gas economy of big geodata is the creation and implementation of digital modeling technologies, the development of ecosystems, computing platforms and digital twins of oil and gas assets, and the transportation of hydrocarbons to existing and newly created petrochemical clusters in order to develop the domestic market for their complete processing into products with high added value and strengthening the digital leadership of Russian energy companies. The key factor hindering the innovative development of the Russian oil and gas complex is the lack of high-performance computing systems. The main oil and gas tasks that require the involvement of supercomputers with peta- and exascale performance levels (1015 and 1018 floating point operations per second, respectively) include the tasks of managing the “digital ecosystem” of the world’s largest West Siberian oil and gas production center and unique oil and gas fields in the real time. The development of the digital ecosystem is proposed to be formed on the basis of platform solutions and comprehensive scientific and technical programs and projects of a full innovation cycle. The main problems in the sphere of creating a digital energy economy of big data have been identified: an acute shortage of personnel with digital competencies in the field of oil and gas production, specialists in opticalization, multisensorization, supercomputing, cybersecurity and petrorobotics.

Concepts for a Semantically Accessible Materials Data Space: Overview over Specific Implementations in Materials Science

This article describes advancements in the ongoing digital transformation in materials science and engineering. It is driven by domain‐specific successes and the development of specialized digital data spaces. There is an evident and increasing need for standardization across various subdomains to support science data exchange across entities. The MaterialDigital Initiative, funded by the German Federal Ministry of Education and Research, takes on a key role in this context, fostering collaborative efforts to establish a unified materials data space. The implementation of digital workflows and Semantic Web technologies, such as ontologies and knowledge graphs, facilitates the semantic integration of heterogeneous data and tools at multiple scales. Central to this effort is the prototyping of a knowledge graph that employs application ontologies tailored to specific data domains, thereby enhancing semantic interoperability. The collaborative approach of the Initiative's community provides significant support infrastructure for understanding and implementing standardized data structures, enhancing the efficiency of data‐driven processes in materials development and discovery. Insights and methodologies developed via the MaterialDigital Initiative emphasize the transformative potential of ontology‐based approaches in materials science, paving the way toward simplified integration into a unified, consolidated data space of high value.

Identity Work in Interdependent Professional Groups: The Role of a Target Identity in Enterprise Systems Implementation

Powerful new technologies in the workplace are significantly changing what employees do and how they depend on others. Key tasks that professionals regard as core to their job are automated, forcing entire professional groups to reconsider their identity within their organization. In doing so, professional groups can either feel threatened and resist new technology or develop enhanced role identities that they pursue using the technology. Our study of financial accountants and management accountants shows how managers can help employees develop enhanced role identities and become more satisfied with their jobs. Managers should ensure that each professional group has early and concrete experiences with how new technology helps them perform new, value-added tasks that are consistent with their sense of who they are as professionals in the organization. However, management must also consider how different organizational functions and professional groups will work together in light of new technology. During the technology implementation process, managers and consultants should foster intensive exchange and critical discussion among interdependent professional groups to facilitate an open renegotiation of which professional group takes on which of the existing and new organizational tasks.

IOT IN CONTAINER SHIPPING INDUSTRY: APPLICATIONS AND EXAMPLES OF SOLUTIONS

The study analyzes the participation of technologies related to the development of the Internet of Things (IoT) network concept in the intermodal container transportation system. Since the beginning of the XXI century, IoT-related technologies have been dynamically spreading in almost all areas of international business, and this has changed the understanding of cargo owners about the quality of transportation services, among other things. Since transparency in monitoring the location of high-value goods is extremely important for transport companies, cargo owners, and all other stakeholders, and the intermodal transportation system is extremely complex due to the number and diversity of communications, the need to use IoT is obvious. As analysts predict that the introduction of IoT technologies in containerization will become widespread in the coming years, a study to assess the level of research on the introduction of such technologies and implementation in the practical activities of transport enterprises is relevant. The aim of the proposed review is to determine the degree of IoT implementation in the container transportation industry, areas of research on the topic, and identify factors that may impede the predicted rapid development of IoT in containerization. The proposed study includes an analysis of scientific publications related to the use of the Internet of Things in the field of international container transportation, identifies the main priority areas of such publications, establishes the areas of current implementation of IoT technology and determines the prospects for its use. Since the solutions that can potentially be obtained with the help of IoT are quite heterogeneous, the literature analysis is organized by grouping such publications into the following areas: container monitoring and tracking, enhancing supply chain transparency and visibility, optimization of operational efficiency, security and risk management, environmental impact and sustainability, challenges and barriers. The paper provides examples of online platforms and applications currently offered by major container operators that are related to this technology.

AI-Driven Chatbots as Language Tutors: Enhancing Written Proficiency in ESL

Purpose: This research study examines the viability of using Artificial Intelligence chatbots for increasing written performance of ESL students. Methodology: The research employs a secondary qualitative approach, synthesizing existing literature to identify themes on chatbot applications in language learning. Findings: As it was found out, the use of chatbots enables learners to get prompt feedback within a session, which helps in correcting the mistakes made and strengthening the applied language learning and acquisition rules and strategies. However, some of the disadvantages include; lack of ability to differentiate culture when giving feedback and some difficulties in maintaining learner’s attention over a long-term basis. Contribution to Theory, Policy and Practice This study shows the ability chatbots have in decreasing learner anxiety and increasing confidence in writing. It is also noted within this study that additional refinement is needed in AI responsiveness to bring chatbots closer to being contextually and culturally aligned with diverse learners. Hence, the study contributes to the discourse on the implementations of cutting-edge technologies into enhancing written proficiency in ESL and calls for further developments of AI-powered systems to tackle challenges surfaced in the ESL teaching and learning processes.

Carbon Capture and Storage (CCS) Implementation as a Method of Reducing Emissions from Coal Thermal Power Plants in Poland

The Polish economy, and especially the energy sector, is facing an energy transformation. For decades, most electricity in Poland has been generated from hard coal, but in recent years, renewable energy sources have been gaining an increasing share of the market. The aim of the energy transformation is to reduce the carbon footprint in electricity production, which translates into the decarbonization of the economy, including manufactured products. Currently (2024), increasing the share of renewable energy sources raises major challenges in terms of energy storage or other activities and forces cooperation with flexible sources of electricity generation. One of the challenges is to determine what a decarbonized energy mix in Poland could look like in 2050, in which there would be sources (with a smaller share of coal sources in the mix than currently) of electricity generation based on hard coal with CCS technology. In order to do this in an economically efficient manner, there are aspects related to the location of power plants that would remain in operation or repower current generating units. The added value of the study is the simulation approach to the analysis of the problem of assessing the effectiveness of CCS technology implementation together with the transport and storage infrastructure, as well as the multi-aspect scenario analysis, which can determine the limits of CCS technology effectiveness for a given power unit. Positive simulation results (NPV amounted to 147 million Euro) and the knowledge obtained in the scope of the correlated and simultaneous impact of many important cost factors and prices of CO2 emission allowances make this analysis and its results close to reality. Examples of analyses of the effectiveness of CCS system implementations known from the literature are most often limited to determining linear relationships of single explanatory variables with a specific forecasted variable, even if these are multifactor mathematical models.

Artificial Intelligence in the Sustainable Design and Manufacturing of Products in Civil Engineering in the Context of Industry 4.0

The implementation of smart technologies as well as artificial intelligence resulted in an increase in productivity and efficiency in production, optimization of costs, and automation of time-consuming processes. The situation is similar in the field of the production of construction products. Digitization and automation are challenges within Industry 4.0 (Construction 4.0), which are the subject and interest of several studies and discussions by experts in the field. The aim of the research is to analyze the relationships between digitization in the industry, artificial intelligence, and performance in the design, production, and use of construction products in the context of Industry 4.0 principles. The research uses primary and secondary data on the use of AI and its potential and impacts in the field of performance and efficiency in design, production, and use in civil engineering. Several statistical tools are used in the analysis, from descriptive statistics to the use of statistical tests and correlation and regression analysis. Spearman’s correlation coefficient was the primary tool for evaluating the dependence between variables. The research results point to the connection and dependence between the use of AI and digitization in individual design and production activities. Autonomous production machines, the production of ore products, and generative design represent areas of production in the construction industry, where the use of AI and digitization makes sense from the point of view of the performance of the results. Innovations and intelligent tools within the concept of Industry 4.0 (Construction 4.0) are, therefore, a prerequisite for an effective setting of design and production in this industry as well.

Artificial Intelligence Tools for Preservation and Popularization of Cultural Heritage

The purpose of the study is to analyze the possibilities of using artificial intelligence tools for the preservation and popularization of cultural heritage, as well as to study their impact on the efficiency of cultural institutions, such as libraries, museums and archives. Research methods. The work uses an interdisciplinary approach, which includes: analysis of modern AI technologies, such as natural language processing (NLP), computer vision and deep learning algorithms, as well as a review of cases of using artificial intelligence in cultural institutions, in particular the HYPERION project. Scientific novelty. The work systematizes data on the implementation of artificial intelligence technologies in cultural institutions for the first time, focusing on their impact on the preservation of digital resources. New aspects of the use of artificial intelligence have been identified, in particular for the automated creation of metadata, the restoration of damaged historical objects and the development of interactive exhibitions based on augmented and virtual reality. Conclusions. Artificial intelligence is becoming an integral element of modern cultural institutions. Its use contributes to the automation of cataloguing and digitization processes; increasing the accuracy of search systems and the relevance of results; creating innovative approaches to interacting with the audience through virtual tours and personalized recommendations. Despite significant advantages, it remains important to take into account ethical challenges, in particular ensuring the authenticity and confidentiality of data. The integration of AI into cultural heritage management has significant potential for its preservation and popularization, which makes culture accessible to a wider audience and ensures its adaptation to the needs of modern society.

Impact of ICT on academic libraries: Challenges for library professionals

The implementation of Information and Communication Technology (ICT) has significantly enhanced the efficiency and effectiveness of service delivery within libraries. The integration of ICT resources is crucial in academic libraries as it facilitates resource sharing, improves service delivery, saves time, provides marketing opportunities for services, and ensures quick and easy access to information while keeping stakeholders updated. With the assistance of ICT, various tasks in academic libraries, such as accessioning, cataloguing, periodical control, stock verification, and information retrieval, can be performed more efficiently using specialized library software. library can provide communication services to user by means of Audio, Audio Visual, Tele textbook, Fax, Online hunt, E-mail networking, social spots, Search machines, Teleconferencing, Cellular phone, Voice correspondence. The role of ICT is pivotal in the advancement of academic libraries.

Amine-Based Solvents and Additives to Improve the CO2 Capture Processes: A Review

The use of amine-based solvents for carbon dioxide (CO2) capture has shown significant promise; however, operational challenges such as high energy requirements, solvent degradation, and equipment corrosion highlight the need for enhanced solutions. This review focuses on identifying amine-based solvents and additives that can improve CO2 capture efficiency while minimizing costs and avoiding substantial modifications to existing industrial facilities. Specifically, the study emphasizes the development of a comprehensive database of additives to optimize CO2 capture processes. A detailed analysis of recent advancements in amine-based solvents was conducted, with a focus on (i) process optimization strategies, (ii) sector-specific CO2 emission profiles, and (iii) equipment issues associated with conventional chemical solvents. The study evaluates these solvents’ kinetic and thermodynamic properties and their potential to address critical operational challenges, including reducing corrosion, solvent viscosity, and evaporation rates. The findings highlight the pivotal role of amino group-containing compounds, particularly alkanolamines, in enhancing CO2 capture performance. The structural versatility of these compounds, characterized by the presence of hydroxyl groups, facilitates aqueous dissolution while offering kinetic and thermodynamic benefits. This review underscores the importance of continued innovation in solvent chemistry and the integration of amine-based solvents with emerging technologies to overcome current limitations and advance the implementation of efficient and sustainable CO2 capture technologies.

The Impact Of Digital Government On The Modernization Of The State: Systematic Review

This article aims to analyze the implementation of the Digital Government in Peru within the framework of the State Modernization Policy. For this purpose, a systematic review was used as the main analysis methodology. Inclusion and exclusion criteria were established based on the research question "What is the current level of implementation of the Digital Government in Peru within the framework of the State Modernization Policy?". The results of this systematic review reveal trends in the modernization of the State, highlighting progress in the implementation of digital technologies to increase the efficiency of government and the provision of citizen services. In conclusion, this analysis provides an overview of the state of Digital Government in Peru. Likewise, it allows us to identify areas of opportunity and improvement in the effective modernization of the State through digital technologies, to guarantee more efficient management focused on the well-being of citizens.

Modelling resilience dynamics for smart manufacturing systems: quantification and empirical analysis

ABSTRACT Smart manufacturing contributes to a better management of uncertainties and risks in today’s business environment, leading to a more resilient system. Despite its significance, the quantification of resilience in manufacturing environments is not well developed and is considered a pressing research gap. This study introduces a novel approach for assessing resilience through the development of a mathematical model for smart manufacturing systems. The sensitivity and applicability of the proposed model are investigated through simulation-based experimentation. The results demonstrate the level of resilience with the adaptability of smart manufacturing technologies. Interestingly, the trigger point derived from the simulation results is an indicator of the threshold limit for effective implementation of smart manufacturing technologies for the desired system resilience. The research provides a tool for decision-makers in industry that are considering investing in smart manufacturing solutions to increase their operational resilience. Decision-makers can design the deployment of smart manufacturing systems based on an informative trade-off to maintain the required resilience capabilities and achieve a competitive edge in the market.

Prospects of using blockchain technology in the field of information protection in state institutions

Blockchain technologies are rapidly gaining popularity in various industries due to their ability to provide reliable data protection, transparency and decentralization. They become especially important in the telecommunications, where the storage, processing, transmission and management of data are of critical importance, especially the military industry. The implementation of blockchain technology can significantly increase the level of security, efficiency and reliability in the mentioned industry, solving the problems of centralization and vulnerability to attacks. The use of blockchain technologies, due to their decentralization, will significantly increase the security of information and communication systems, due to the distributed architecture, where data is stored on numerous independent nodes, which makes their mass destruction or modification difficult. The absence of a single point of failure reduces the risks of breaches, and consensus mechanisms provide verification and protection against unauthorized changes. In general, this technology allows for the creation of more stable, reliable and protected systems, which will significantly reduce the loss of personnel, equipment and property. The purpose of this scientific researching is to analyze the current state and existing problematic issues, which the authors propose to solve with the help of the development and implementation of blockchain technologies in the telecommunications industry, in particular, billing operations, roaming, user identity management, and the researching of the possibilities of automating processes using smart contracts, which will allow to increase the efficiency of information and communication systems, due to increasing the speed of data transmission and optimizing their work. Further scientific research, according to the authors, can be aimed at the possibility of scaling and reducing energy consumption of the using of blockchain technology, as well as its integration with other technologies, such as artificial intelligence and quantum technologies.

Development of complex wastewater treatment of galvanizing lines

The prospective of increasing of environmental safety level for industrial enterprises as a result of the implementation of new complex wastewater treatment technology are considered. An analysis of literary sources was carried out regarding the effectiveness of the existing methods of wastewater treatment that contain compounds of heavy metals. The efficiency of iron ion extraction was investigated by processing of steel pickling solutions using the ferritization with various activation methods of the reaction mixture. X-ray phase analysis of the obtained ferritization sediments confirmed the presence of highly dispersed ferromagnetic phases of iron oxides and oxyhydroxides. The sorption capacity of magnetite sediment obtained by ferritization on the efficiency of zinc ion extraction from the wastewater of the galvanic line was studied. The influence of pH value and ultrasound on sorption treatment of washing wastewater by magnetite sediment was determined. When using ultrasound for sorbent treatment and raising the pH to 10, the residual concentration of zinc ions in the washing wastewater decreases to 0.31 mg/dm3, the degree of purification is 98.9%. Such water meets the standards for its use in the operations of washing parts at electroplating facilities or discharge into the city's central sewage system. The prospects for the utilization of spent sorbents in powder paint and varnish materials as a result of the inclusion in their composition of ferritization products obtained from electroplating waste are considered. The use of ferromagnetic waste from sorption treatment improves the corrosion resistance of the resulting coatings compared to traditional ones. The implementation of research results at enterprises will prevent environmental pollution by toxic substances, change outdated production technologies and obtain from production waste materials for corrosion protection of metal construction.

The Effect of Digitalization on the Sustainability of Accounting Practices in the Financial Industry

This research aims to examine the effect of digitalization on the sustainability of accounting practices in the financial industry. Using a qualitative approach, this research conducted case studies on several leading companies in the financial sector. We collected data on the implementation of digital technologies in accounting practices through in-depth interviews, participatory observation, and document analysis. The research findings show that digitalization brings significant changes in accounting practices, especially with regard to improving efficiency, transparency, and data accuracy. Research has proven that the integration of technologies like cloud-based accounting information systems, big data, and artificial intelligence enhances the quality of financial decision-making. In addition, digitalization also has a positive impact on environmental sustainability through reduced paper usage and energy efficiency. However, the research also reveals challenges, such as the need to upskill accountants, data security issues, and adapt to regulatory changes. The findings provide important insights for practitioners and policymakers in responding to the dynamics brought about by digitalization in accounting. This research contributes to the literature relating to the interaction between technology and accounting practices by providing an in-depth understanding of how financial firms adapt and utilize technological innovations for their business sustainability. The practical implications of this research include recommendations for the development of policies that support the integration of technology in accounting as well as the development of appropriate human resources.