Impact Of Technology Research Articles

Enterprise value creation effects of artificial intelligence technology from the perspective of digital agility: evidence from China

ABSTRACT As a pivotal technology driving the latest wave of technological revolution and industry transformation, artificial intelligence (AI) is permeating the processes of business operations widely. Grounded in the dynamic capability theory, the research use Word2Vec and Python to extract metrics for AI technology from annual reports of Chinese A-share listed companies from 2012 to 2022. This research empirically investigates the impact of AI technology on the level of enterprise value creation. The findings reveal that the application of AI technology by listed companies significantly enhances their value creation, a conclusion that remains robust following various endogeneity and robustness tests. AI technology empowers enterprise value creation through the mechanisms of sensing, integrating, and restructuring digital agility. Furthermore, the value-creation effect of AI technology is more significant in manufacturing and the eastern region. The results elucidate the logic behind the influence of AI technology on enterprise value creation and provide practical support for organisations in implementing AI strategic planning and decision-making.

Measuring the global and domestic technological impact of Chinese scientific output: a patent-to-paper citation analysis of science-technology linkage

Measuring the global and domestic technological impact of Chinese scientific output: a patent-to-paper citation analysis of science-technology linkage

Practical quantitative research on technological impact on Australia post facilities' processing capacity

Australia Post has seen increasing demands for its service and in response to this, an automated sorting station and an artificial intelligence-based prioritization system have been installed separately in Tullamarine and Mascot in 2019. This essay aims to answer the question: Can the technology the automated sorting station and the artificial intelligence-based prioritization system effectively improve the processing capability of Australia Post? Four hypotheses will be raised. Selected data for each hypothesis will firstly be described and visualized, then the data will be tested by the Shapiro-Wilk test for normal distribution. According to the Shapiro-Wilk test result and the hypothesis, different statistic tests will be selected to analyze the data followed by the interpretation of the result. In conclusion, the technology - the automated sorting station and the artificial intelligence-based prioritization system can effectively improve the processing capability of Australia Post, and there is no significant difference between the effectiveness of the two technologies.

A cost model for the investment feasibility of quality inspection technologies in the Zero Defect Manufacturing era

The current global market forces companies to focus on suitable manufacturing based on zero defect and zero waste strategies. Higher energy prices and critical raw material supply disruptions stimulate the implementation of non destructive inspection technologies for real-time quality assurance, which aims to increase high-quality products and lower production costs via better materials and energy uses. By embracing these advancements, businesses address market dynamics and strategically position themselves for sustained success in a competitive and resource-conscious world. Traditionally, in small and medium enterprises, new manufacturing or inspection equipment is acquired based on a management decision that is, in turn, based in quality purposes and does not focus deeply on the impact on the final factory cost reduction. This research focuses on developing a costing procedure to incorporate the impact of Non Destructive Inspection Technologies into the multistage cost structure for investment decisions. A case study is presented to demonstrate the applicability of the cost breakdown and return on investment for justifying the investment of the Non Destructive Inspection Technology in additive manufacturing machinery. The proposed cost model provides a framework to preliminary assess the viability of Non Destructive Inspection Technologies investments.

KUALITAS SISTEM INFORMASI MANAJEMEN DAN EFEKTIVITAS PENGAMBILAN KEPUTUSAN PADA PERUSAHAAN KONSTRUKSI DI JAWA BARAT DARI PERSPEKTIF: TEKNOLOGI INFORMASI, MANAJEMEN PENGETAHUAN DAN PENGENDALIAN INTERNAL

Construction companies in carrying out their activities require management information systems and technology in decision-making. The purpose of this research is to know and analyze the impact of information technology, knowledge management, and internal control on the quality of management information systems, which implies the effectiveness of decision-making for construction companies in West Java, both simultaneously and partially. This study employs a quantitative, cross-sectional research method. The research population is 1160 construction companies in West Java, with a sample of 150 construction companies in West Java consisting of 3 observation units, namely project managers, site engineers, and site managers. The research findings reveal that information technology not only supports but also significantly enhances the quality of management information systems. Furthermore, knowledge management directly influences the improvement of a good quality management information system, which means that knowledge management has a direct and significant positive impact on the quality management information system. Information technology, knowledge management, and internal control can enhance effective decision-making through quality management information systems.

Toxicological evaluation of primary particulate matter emitted from combustion of aviation fuel

Recently, Sustainable Aviation Fuel (SAF) blends and novel combustion technologies have been introduced to reduce aircraft engine emissions. However, there is limited knowledge about the impact of combustion technology and fuel composition on toxicity of primary Particulate Matter (PM) emissions, comparable to regulated non-volatile PM (nvPM).In this study, primary PM was collected on filters using a standardised approach, from both a Rich-Quench-Lean (RQL) combustion rig and a bespoke liquid fuelled Combustion Aerosol Standard (CAST) Generator burning 12 aviation fuels including conventional Jet-A, SAFs, and blends thereof. The fuels varied in aromatics (0–25.2%), sulphur (0–3000 ppm) and hydrogen (13.43–15.31%) contents. Toxicity of the collected primary PM was studied in vitro utilising Air-Liquid Interface (ALI) exposure of lung epithelial cells (Calu-3) in monoculture and co-culture with macrophages (differentiated THP-1 cells). Cells were exposed to PM extracted from filters and nebulised from suspensions using a cloud-based ALI exposure system. Toxicity readout parameters were analysed 24 h after exposure.Results showed presence of genotoxicity and changes in gene expression at dose levels which did not induce cytotoxicity. DNA damage was detected through Comet assay in cells exposed to CAST generated samples. Real-Time PCR performed to investigate the expression profile of genes involved in oxidative stress and DNA repair pathways showed different behaviours after exposure to the various PM samples. No differences were found in pro-inflammatory interleukin-8 secretion. This study indicates that primary PM toxicity is driven by wider factors than fuel composition, highlighting that further work is needed to substantiate the full toxicity of aircraft exhaust PM inclusive of secondary PM emanating from numerous engine technologies across the power range burning conventional Jet-A and SAF.

The role of event management as a library innovation in increasing the attractiveness of public libraries: analysis of trends and successful practices

The purpose of this article is to study the changes in the activities of libraries in the digital era with a focus on the introduction of event management as a key tool for adapting libraries to new conditions and increasing their attractiveness The research was based on the methods of analysis and synthesis of literature sources, case studies of successful library practices. The described examples illustrate how well organized events can attract new visitors, increase interest in library services, and strengthen the connection between the library and the community. The scientific novelty of the paper is a comprehensive analysis of the impact of digital technologies on event management in libraries and the development of recommendations for the effective implementation of event management that take into account the current needs and interests of the target audience. The introductory part of the article provides an overview of these changes, emphasizing the need for libraries to adapt to new conditions and use various tools, among which event management occupies an important place. The article concludes with recommendations on how to implement event management in the work of libraries. They include tips on planning and organizing events, taking into account the interests and needs of the target audience, and using modern technologies to promote library events. The article also discusses the role of digital technologies in improving event management. An important component is the use of social media and online platforms for announcing events, registering participants, and getting feedback from the audience. The article emphasizes the importance of an innovative approach to the work of libraries in the context of rapid changes in the information environment and society, showing that event management is an effective means of increasing their attractiveness and relevance.

Вплив інноваційних освітніх технологій на підготовку фахівців в умовах динамічного розвитку ринку праці

The article substantiates the impact of innovative educational technologies on the training of specialists in the context of dynamic development of the labour market. The key innovative technologies, such as online courses, augmented and virtual reality, artificial intelligence, gamification, are analysed, and their advantages and disadvantages are considered. The article shows how these technologies affect the learning process, increase student motivation, and develop creativity and critical thinking. The purpose of the article is to determine the impact of innovative educational technologies on the training of competitive specialists in the context of modern labour market challenges. Based on the analysis of the use of innovative technologies in the educational process, an attempt is made to substantiate their importance for improving the quality of professional training. In particular, the potential and risks of introducing such technologies as artificial intelligence, virtual and augmented reality, and gamification are identified. Particular attention is paid to the need to develop appropriate pedagogical models and methods for the effective use of these technologies. It is established that innovative educational technologies are an important factor in improving the quality of training, and their implementation allows creating a more efficient, personalised and future-oriented education system. However, in order to achieve maximum effect, a number of organisational, technical and financial problems need to be addressed. Given the complexity and multidimensionality of the chosen topic, the prospects for scientific research are further research of innovative technologies and their practical testing in various fields of education.

Impact of Technology in Classrooms in the Colleges of Kathmandu: Challenges and Policy Recommendations

Impact of Technology in Classrooms in the Colleges of Kathmandu: Challenges and Policy Recommendations

CNT forest self-assembly insights from in-situ ESEM synthesis

Understanding and controlling the dynamic self-assembly mechanisms of carbon nanotube (CNT) forests is necessary to advance their technological im-pact. Here, in-situ environmental scanning electron microscope (ESEM) chemical vapor deposition (CVD) synthesis observes in real time the real-time nucleation, assembly, delamination, and self-termination of dense (> 109 CNT/cm2), tall (> 100 μm) CNT forests. Forest synthesis is continuously ob-served from nucleation to self-termination. Assembly forces generated near the substrate detach CNTs from the substrate, which simulation suggests requires between 3 and 12 nN of tensile force. Delamination initiates at both the CNT-catalyst and the catalyst-substrate interfaces, indicating multiple delamination mechanisms. Digital image correlation applied to SEM image sequences measures time-invariant strain within growing forests, indicating that forests grow as rigid bodies after liftoff. The Meta CoTracker algorithm measured CNT growth rates reduce from 50 nm/s to full termination over 150 s. The kinematic behaviors we observe are foundational to understanding the process-structure-property relationships of CNT forests.

Application of Genomic Technology in Early Diagnosis and Personalized Treatment for Cancer Patients

This journal article delves into the transformative impact of genomic technology in the realm of cancer diagnosis and treatment, specifically focusing on early detection and personalized therapeutic interventions. Genomic advancements have revolutionized our understanding of cancer at the molecular level, offering unprecedented insights into the genetic basis of the disease. This study explores the application of genomic technology to enable early diagnosis by identifying specific genetic markers associated with different cancer types. The research also investigates the integration of genomic information into personalized treatment plans, tailoring interventions based on the unique genetic profile of individual patients. Precision medicine, guided by genomic data, has shown promising results in improving treatment outcomes and minimizing adverse effects. The article reviews key genomic technologies, such as next-generation sequencing and gene expression profiling, highlighting their role in elucidating the intricate genetic landscape of cancer. Furthermore, ethical considerations and challenges associated with the implementation of genomic technology in cancer care are discussed. Issues about patient privacy, data security, and the need for informed consent are addressed to ensure responsible and patient-centered genomic practices. The findings underscore the potential of genomic technology to revolutionize cancer care, ushering in an era of early detection and personalized treatment strategies. As we move towards an era of precision oncology, understanding the implications and nuances of genomic applications becomes crucial for healthcare practitioners, researchers, and policymakers alike.

The Impact Mechanism of Digital Transformation Empowering Corporate Supply Chain Competitiveness: A Case Study of Geely Automobile

With globalisation and the diversification of market demands, companies face increasingly complex supply chain management challenges. As a leading automaker, Geely's efficient operation of its supply chain is critical to maintaining market share and customer satisfaction. This study uses Geely Automobile as a case study to explore the impact mechanism of digital transformation on corporate supply chain competitiveness. Analysing Geely Automobile's digital transformation practices reveals the positive impact of digital transformation on corporate performance and supply chain resilience. The findings show that digital transformation significantly improves corporate performance, especially in key financial indicators. At the same time, digital transformation enhances firms' resilience in the face of risky shocks, making them more resilient to market changes and risks. However, the study also identified challenges and limitations in the digital transformation. Future research could provide further insights into the relationship between digital transformation and internal management factors and the impact of new technologies on supply chain management and firm performance to guide firms to achieve sustained growth and enhance competitiveness.

Development and Testing of an Instrument to Measure the Impact of EHR Use on Quality of Care.

There is an increased adoption of electronic health records (EHR) motivated by many purported benefits, yet limited research has explored their impact on quality of care. We developed and tested a multidimensional measure of quality of care in relation to EHR use. 234 nurses completed a cross-sectional survey. The score of the quality of care construct reached 0.92. Four subdimensions were identified: technology impact on nursing practice, learning and improvement capability, transition accountability, and fault responsibility. The instrument has potential to advance our understanding of the impact of EHR use on quality of care.

The Safety Implications of Information Technology in Nursing: Japanese Incident Data Analysis.

This study delves into the impact of Information Technology (IT) on nursing practice in Japan, focusing on patient safety within the 2021-2022 Japanese Medical Accident Report Data. The research aims to understand how IT factors contribute to nursing-related medical incidents in a healthcare landscape rapidly integrating IT. The study identifies IT-related incidents through a retrospective analysis of medical incident reports, primarily in nursing, by analyzing categorized data and free-text descriptions for IT-related keywords. The findings indicate significant IT-related issues, with 'Other EHR Related' problems (36%) and 'EHR Reporting' errors (25%) being the most prevalent. These incidents often involve challenges in patient identification and medication management. The study suggests improvements like enhanced verification processes and automated systems to mitigate these risks. Conclusively, it underscores the dual nature of IT in nursing: while it holds the potential to enhance patient care, it also introduces challenges that necessitate specialized informatics expertise to ensure its beneficial integration into nursing practices.

Speech Recognition Technology for Nursing Charting: A Literature Review.

This literature review explores the impact of Speech Recognition Technology (SRT) on nursing documentation within electronic health records (EHR). A search across PubMed, CINAHL, and Google Scholar identified 156 studies, with seven meeting the inclusion criteria. These studies investigated the impact of SRT on documentation time, accuracy, and user satisfaction. Findings suggest SRT, particularly when integrated with artificial intelligence can speed up documentation by up to 15%. However, challenges remain in its implementation in real-world clinical settings and existing EHR workflows. Future studies should focus on developing SRT systems that process conversational nursing assessments and integrate into current EHRs.

Self-directed learning among general practitioners in the German-speaking part of Switzerland: a qualitative study using semi-structured interviews.

This research aimed to investigate the self-directed learning (SDL) habits of Swiss general practitioners from the German-speaking part of Switzerland, understanding how they acquire new knowledge, exploring the impact of the COVID-19 pandemic on these habits and identifying optimisation strategies for their future self-directed learning. We employed a qualitative study design, conducting semi-structured interviews with 16 general practitioners from 30 May 2022 to 06 July 2022. Thematic analysis based on a mixed deductive/inductive approach was used to gain insight into the learning activities and self-directed learning practices of the practitioners. The interviewed general practitioners demonstrated a versatile approach to self-directed learning, where peer communication emerged as the most predominant learning method. It is noteworthy that the younger generation in particular showed a strong inclination for peer learning and is well prepared for the integration of advanced digital solutions for peer communication. Furthermore, a significant shift was observed in media-based self-directed learning, especially since the COVID-19 pandemic. Digital platforms and repositories for practical learning were mentioned as educational mainstays by many interviewees, reflecting a profound technological shift observed over the past 25 years and especially since the pandemic. The primary motivation for pursuing new knowledge remains patient care, although personal development and staying up-to-date with medical and technological advancements are also key motivators. Although the pandemic has undeniably accelerated the transition towards digital learning, it has also brought with it challenges such as information overload and technical difficulties. There was an evident decline in formal learning venues and physical presence during the pandemic, yet the reported value of in-person interactions remains high. Suggestions for optimising self-directed learning included enhancing digital offerings, fostering stronger peer networks and integrating more practical content. The COVID-19 pandemic has catalysed a transformation in the self-directed learning practices of general practitioners in the German-speaking part of Switzerland, underlining the importance of a balanced approach between digital and traditional learning methods. As the digital realm of self-directed learning grows, it is essential to address existing challenges and capitalise on potential advantages. Both individual networking efforts like general practitioner quality circles and initiatives from official authorities like informal self-test opportunities can play pivotal roles in refining self-directed learning practices. The findings from this study offer valuable insights for enhancing learning resources and environments that align with general practitioners' needs and preferences. Future research should investigate the ongoing impact of advanced digital technologies on self-directed learning to understand the evolving landscape in a post-pandemic world.

Space jam: how retail technologies are influencing store space production

PurposeTechnologies are dramatically reshaping various aspects of the store space, modifying design, services and usage. Accordingly, several studies tackled technology impact on each of these aspects, investigating design, service and usage singularly, but lacking a holistic viewpoint. Thus, this paper aims to identify the different dimensions of the store space (levels) and assess the impact of technology introduction on store space dimensions (levels).Design/methodology/approachThe research employs a qualitative approach based on direct observations of apparel brand stores located in London between March and April 2023. Data collection followed a structured observation protocol covering store information, adopted technologies and their effects across various store space levels, i.e. consumption activities, service environment and customer experience.FindingsResults show that the store space can be defined as the sum of different dimensions consisting of consumption activities, service environment and customer experience. Accordingly, technology introduction holistically influences each of the three store space levels as follows: (1) first, technologies redefine how activities are performed or alters the location where certain activities are consumed; (2) within the service environment, technologies replace traditional elements, fill empty spaces and enhance the atmospherics; finally, (3) customer experience is enhanced in hedonic and/or utilitarian terms due to technology adoption.Originality/valueThis paper defines the space as a dynamic entity, providing a deeper understanding of how the store space is produced, from a holistic point of view and the role of retail technology in this process.

Revolutionizing infectious disease management in low-resource settings: The impact of rapid diagnostic technologies and portable devices

Revolutionizing infectious disease management in low-resource settings hinges on the integration of rapid diagnostic technologies and portable devices. These innovations offer transformative potential by providing timely, accurate, and cost-effective diagnosis, thereby enhancing patient outcomes and curbing the spread of infectious diseases. Rapid diagnostic technologies, including point-of-care tests and molecular diagnostics, enable swift identification of pathogens, allowing for immediate and appropriate treatment. This is particularly crucial in low-resource settings where laboratory infrastructure is often limited, and delays in diagnosis can lead to increased morbidity and mortality. Portable diagnostic devices, such as handheld PCR machines and mobile phone-based diagnostic tools, further extend the reach of healthcare services to remote and underserved areas. These devices are designed to be user-friendly, requiring minimal training for healthcare workers, and can operate in challenging environments without the need for extensive power supplies or refrigeration. The impact of these technologies is profound. By reducing the time to diagnosis, rapid diagnostic tests can decrease the misuse of antibiotics, helping to combat antibiotic resistance—a major global health threat. Additionally, early and accurate diagnosis facilitates better disease surveillance and outbreak management, enabling quicker public health responses. Cost-effective and scalable, these technologies also offer significant economic benefits, reducing the burden on healthcare systems and improving overall health equity. This review underscores the critical role of rapid diagnostic technologies and portable devices in revolutionizing infectious disease management in low-resource settings. Their implementation not only improves individual patient care but also strengthens public health infrastructure, ultimately contributing to global health security and the fight against infectious diseases. Keywords: Infection Disease, Diagnostic Technologies, Management.

Unveiling the impact and mechanism of digital technology on agricultural economic resilience

Enhancing the economic resilience of agriculture is essential for promoting sustainable and high-quality agricultural development. The emergence of digital technology has created new opportunities in this field. However, existing research predominantly focuses on traditional agricultural factors and technologies. Therefore, the impact of digital technology on agricultural economic resilience within the broader context of the “production–operation–industry” system in agriculture has not been comprehensively explored. To bridge this gap, this study analyzes panel data from 30 Chinese provinces from 2011 to 2020. It employs the static Van Dorn’s law and a dynamic spatial panel model to examine how digital technology empowers agricultural resilience. The findings indicate a continuous strengthening of digital technology development in China, albeit with significant polarization and spatial imbalances. Moreover, the resilience of the agricultural economy undergoes notable fluctuations, initially narrowing and subsequently displaying an upward trend. Digital technology clearly plays a pivotal role in empowering resilience through agricultural scale operation, industrial transformation, and technological progress. Its impact, particularly on the promotion of resilience in the eastern region and non-grain-producing areas and on high-level agricultural economies, also shows regional and technological variations.

Artificial Intelligence: Duality in Applications of Generative AI and Assistive AI in Music

This paper explores the multifaceted role of Artificial Intelligence in the field of music, more specifically, examining the positives and negatives of generative and assistive capacities. Artificial Intelligence (AI) in music involves the application of computational techniques to various aspects of music creation, production and consumption. In the domain of assistive AI, the concentration is on how machine learning could potentially help musicians in the area of composition and performance to enhance their musical creativity. The paper will discuss an interesting collaborative effort between pure human creativity and computational assistance covering an explanation for a vast number of tools using generative as well as assistive artificial intelligence models. In addition, the paper will address the concerns facing the music industry while this technology keeps on improving, the potential drawbacks and ethical considerations. It opens the question of authenticity and emotional depth, and when or if this new technology could be able to replicate it. Further explanation in the paper will consider music examples with a focus on music styles assisted and generated by the use of artificial intelligence, from pop to classical music. With a thorough analysis of the aforementioned subject, the paper aims to provide a detailed perspective on the constant evolution of AI tools used in music with highlights on the need for a balanced approach. In providing a detailed perspective on the evolving landscape of AI tools in music, this study adopts a methodological approach that involves comprehensive analysis of both the benefits and challenges associated with these innovative gadgets. The paper contributes to the ongoing discussion on the intersection of technology and artistic expression. By examining the potential benefits and challenges with these innovative models, the paper signifies ongoing discourse on the impact of technology on artistic expression.