Knowledge Mapping of Industrial Upgrading Research: A Visual Analysis Using CiteSpace

Establishment of the characteristic evaluation index system of secondary task driving and analyzing its importance

Wars between countries, technological developments and acculturation affect every field, as well as the field of education. The social crisis and moral corruption produced by the modern world have led families and educators to think, work and produce projects on the necessity of human values and education. Language, which is one of the human values and one of the ways of maintaining the existence of a nation and transferring its culture, is very important. In this context, it is seen that the emphasis on values is increasing day by day. The education level where the need for restructuring is felt the most is higher education. It is important that training given in higher education institutions is given within the framework of human value perceptions and the training of employees of the future profession group. In this context, it is very important to associate language and human values with literature teaching. In this study, studies on the theoretical and methodological foundations of literature teaching in the framework of new human knowledge in higher education institutions were examined. In this context, the aim of the study is to examine the theoretical and methodological foundations of literature teaching within the framework of new human knowledge in higher education institutions and the related documents scanned in the Web of Science database, thematically and methodologically. The study was designed by adopting a case study from the qualitative research models. A sample was not determined for the studies to be included in the research and the entire universe was reached. In this context, all documents in the Web of Science database were accessed through the library system of the university. In the document search, the keywords ‘higher educational’ and ‘theoretical and methodological’ were searched in all fields and studies were found by searching for the keyword ‘teaching literature’ in the title. All studies were analysed by year, document type, Web of Science category, research area, country and publication language. The findings obtained from the research were explained in detail with the content analysis method. In the research findings, 78 documents were reached. The findings obtained as a result of the research are given in detail in the findings and results section.
 Keywords: Human values, literature teaching, methodological and theoretical structure, Learning, University, Web of Science

In the era of technological innovation, mine intelligent ventilation is an inevitable trend of development. Mine ventilation technology is an important guarantee for the stable and reliable operation of mine ventilation system. Therefore, the current situation and future development trend of mine ventilation technology in the past 30 years are sorted out. The 1586 mine ventilation literature included in the Web of Science database from 2000 to 2024 were used for research. Employing CiteSpace6.3.R1 visualization tools, this paper identified influential authors, countries, and institutions in this field. Through keyword frequency analysis, clustering, timeline examination, and burst detection, it was determined that further research in mine ventilation technology should focus on aspects such as flow dynamics, simulation techniques, numerical modeling, and mine ventilation behavior. This strategic approach aims to enhance both the theoretical framework and practical implementation of mine ventilation, thereby augmenting its significance in coal mining operations.

In recent years, with the rapid development of computer hardware and algorithm technology, artificial intelligence has shown significant advantages in product design, medical diagnosis and finance. This paper applies the method of visual analysis to reveal the research hotspots of user-centred product design in the field of artificial intelligence and discusses the future development trend of this field. The data for this study comes from 670 documents in the Web of Science database. Using visualisation tools such as CiteSpace 6.1.1 and VOSviewer, the literature on "Artificial Intelligence (AI)", "Users" and "Product Design (PD)" was analysed for the period from 2004 to 2024. Product Design (PD)" literature was analysed. Product Design (PD)" literature was analysed. It was found that over the past two decades, research in this field can be broadly categorised into three phases: initial development, rapid development and fluctuating growth. China has become a major force in this research area and has made a significant impact. The main research directions focus on technology and management innovation, advanced technology and industrial change, information technology and applications, and technology and user experience. The results of the study expose that user-centered product and service design needs to pay more attention to intelligence and personalization as a way to drive the development of service quality improvement.

This study aimed to analyze the most influential publications on vertebral augmentation for treating osteoporotic vertebral compression fracture. The Web of Science database was searched using the key words “percutaneous vertebroplasty,” “percutaneous kyphoplasty,” “balloon kyphoplasty,” “vertebroplasty,” “kyphoplasty,” and “vertebral augmentation.” The top 100 publications were arranged by citations per year and descriptively and visually analyzed. The top 100 publications were cited 25,482 times, with an average of 14.4 citations per paper per year. The corresponding authors of the publications represented 17 nations, with most authors being American (46 authors). Thirty-two journals were involved, with SPINE issuing the most publications (24 papers of the 100). Clinical research (73 of the 100 papers) outnumbered basic studies (14 papers) and systematic reviews (13 papers), and the most publications were published between 2000 and 2004. Co-citation analysis of the key words indicated that the top 5 focus areas were “complication,” “balloon kyphoplasty,” “vertebral compression fracture,” “biomechanics,” and “calcium phosphate cement.” The top 3 keywords with the strongest citation bursts were “compression fracture,” “cement,” and “balloon kyphoplasty.” The keywords with persistent strong citation bursts are “balloon kyphoplasty” and “augmentation.” There are still contrary opinions about vertebral augmentation; new research should be conducted with more deliberate design and longer follow-up.

This is a bibliometric study of the publications about customer relationship management (CRM), as one of the nowadays most implemented and extended enterprise management software. The objective of this paper is twofold: on the one hand to analyse the impact and focus of influence of the different authors and entities that have been researching on CRM, and secondly to determine (based on the results of the bibliometric study of the publications on CRM) if it may be of interest to investigate and deepen the benefits and impact on CRM results as a modern and leading enterprise management solution. Bibliometrics is a fundamental field of information science that studies bibliographic material quantitatively. This study presents a bibliometric overview of CRM research using the web of science database, identifying the most prolific and influential journals, authors, institutions and countries, considering the period since 1900-2017.

With the development of economic globalization, economic growth, industry upgrading, deepening exchanges and cultural integration have important influence on the company’s traditional values and responsibilities. Paying more attention to natural resources, ecological environment, workers' rights and business ethics, and taking more responsibility to stakeholders and society have become the trend of global enterprise development. Since ancient times, China has had a humanistic tradition of “shoulder social responsibilities”. The moral idea of Enjoying the world afterwards requires leaders from all walks of life to consider social factors fully. The purpose is to achieve harmony between human and nature, as well as human and society. This is not only the common responsibility of global companies, but also the inherent requirement for building a harmonious society in China. Based on the perspective of stakeholders, this paper uses 2,618 observations of companies listed on GEM from 2010 to 2016 to empirically test the impact of corporate social responsibility on corporate performance. This study finds that the relationship between corporate social responsibility and corporate financial performance is inverted U-shaped, and accounting indicators have stronger explanatory power than market indicators.

This paper employs a Game Theory-based Weighting and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method to comprehensively evaluate the development vitality of new quality productive forces in Beijing, Tianjin, and Hebei. By integrating the Analytic Hierarchy Process (AHP) and Entropy Method to determine weights, a scientific evaluation index system is constructed, incorporating both expert opinions and objective data. The evaluation results indicate that Beijing excels in technological innovation and efficiency, Tianjin performs well in green development, while Hebei requires enhancement in industrial transformation and upgrading. Encompassing multiple dimensions such as technological innovation, intellectual resources, green development, production efficiency, and industrial transformation and upgrading, the assessment further validates the effectiveness of the evaluation methodology through case study analysis. The Game Theory-based Weighting approach effectively combines subjective and objective weights, enhancing the scientific rigor and accuracy of the evaluation. The results provide a decision-making basis for optimizing industrial structures, promoting regional collaboration, advancing green and low-carbon development, and improving social well-being in the Beijing-Tianjin-Hebei region. In conclusion, the proposed Game Theory-based Weighting and TOPSIS evaluation model serves as a powerful tool for assessing the development vitality of new quality productive forces in Beijing, Tianjin, and Hebei. It holds significant implications for driving regional high-quality development, achieving economic growth with high quality, and fostering sustainable social development.

BackgroundGastric cancer is a serious disease that threatens human life; early diagnosis and treatment have been the focus of many studies. With advancements in imaging evaluation and machine learning, early detection and treatment of gastric cancer have become feasible. This study aimed to explore research trends and hotspots in the field of gastric cancer and machine learning through bibliometric analysis and to provide new insights for related clinical applications.MethodsLiterature on gastric cancer and machine learning published from 2004 to 2023 was retrieved from the Web of Science database. Microsoft Excel 2019 was used for statistical analysis of influential articles, journals, authors, organizations, countries (regions), and co-citation references in this research domain. VOSviewer (version 1.6.16) and CiteSpace (version 5.8.R3) were utilized to visualize the corresponding data.ResultsWe analyzed and evaluated 425 articles authored by 2,899 researchers from 825 organizations across 52 countries (regions). The People’s Republic of China, the Chinese Academy of Sciences, and the University of the Chinese Academy of Sciences were identified as leaders in this field. The article “Genome-wide cell-free DNA fragmentation in patients with cancer,” published in Nature, was the most frequently cited work. The diagnosis and treatment of gastric cancer have consistently been research hotspots, with a shift in focus from laboratory-based studies to clinical applications. This trend highlights the transition from etiology-oriented research to studies emphasizing treatment and practical applications.ConclusionsThis study offers a comprehensive visual analysis of research on gastric cancer and machine learning, representing the most detailed bibliometric study in this domain. With the continuous advancement of research, artificial intelligence-assisted early diagnostic methods for gastric cancer and corresponding treatment strategies may emerge as a pivotal direction for future research in this area.

Sleep problems and suicide risk in youth: A systematic review, developmental framework, and implications for hospital treatment

Purpose Delay and disruption claims involve a complex process that often result in disputes, unnecessary expenses and time loss on construction projects. This study aims to review and synthesize the contributions of previous research undertaken in this area and propose future directions for improving the process of delay and disruption claims. Design/methodology/approach This study adopted a holistic systematic review of literature following Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. A total of 230 articles were shortlisted related to delay and disruption claims in construction using Scopus and Web of Science databases. Findings Six research themes were identified and critically reviewed including delay analysis, disruption analysis, claim management, contract administration, dispute resolution and delay and disruption information and records. The systematic review showed that there is a dearth of research on managing the wide-ranging information required for delay and disruption claims, ensuring the transparency and uniformity in delay and disruption claims’ information and adopting an end-user’s centred research approach for resolving the problems in the process of delay and disruption claims. Practical implications Complexities in delay and disruption claims are real-world problems faced by industry practitioners. The findings will help the research community and industry practitioners to prioritize their energies toward information management of delay and disruption claims. Originality/value This study contributes to the body of knowledge in delay and disruption claims by identifying the need for conducting more research on its information requirements and management. Subsequently, it provides an insight on the use of modern technologies such as drones, building information modeling, radio frequency identifiers, blockchain, Bigdata and machine learning, as tools for more structured and efficient attainment of required information in a transparent and consistent manner. It also recommends greater use of design science research approach for delay and disruption claims. This will help to ensure delay and disruption claims are the least complex and less dispute-prone process.

Driven by the wave of artificial intelligence, the educational practice and application of robots have become increasingly common. Despite extensive coverage in the literature on various aspects of educational robots, there are still unexplored avenues, particularly regarding robotic support, robotic personality, and challenges in their applications. This study presented a systematic review of high-quality empirical research on the use of physical robots in educational settings. A total of 92 relevant papers from the Web of Science database were analyzed. Employing the technological pedagogical content knowledge (TPCK) framework, we investigated research questions across seven components, including the learning domain, teaching strategy, robot types, learning results, problems with using robots, robotic support, and robotic personality. The findings revealed that robots are most prevalently employed in language learning applications. When opting for teaching strategies, educators tend to favor those that incorporate physical interaction. Concurrently, humanoid robots emerge as the preferred choice among many. These robots, in human–robot interaction scenarios, often exhibit an agreeable personality. In terms of evaluating learning results, cognitive aspects like thinking, creativity, self-regulation, and inquiry ability are especially emphasized. Such results are frequently influenced by the informational and emotional support provided by robots. Nonetheless, challenges encountered by teachers, learners, and robots in this process are not to be overlooked. The findings of this study contributed to future applications of robotics in education.

BackgroundThe assessment and management of neonatal pain is crucial for the development and wellbeing of vulnerable infants. Specifically, neonatal pain is associated with adverse health outcomes but is often under-identified and therefore under-treated. Neonatal stress may be misinterpreted as pain and may therefore be treated inappropriately. The assessment of neonatal pain is complicated by the non-verbal status of patients, age-dependent variation in pain responses, limited education on identifying pain in premature infants, and the clinical utility of existing tools.ObjectiveWe review research surrounding neonatal pain assessment scales currently in use to assess neonatal pain in the neonatal intensive care unit.MethodsWe performed a systematic review of original research using PRISMA guidelines for literature published between 2016 and 2021 using the key words “neonatal pain assessment” in the databases Web of Science, PubMed, and CINAHL. Fifteen articles remained after review, duplicate, irrelevant, or low-quality articles were eliminated.ResultsWe found research evaluating 13 neonatal pain scales. Important measurement categories include behavioral parameters, physiological parameters, continuous pain, acute pain, chronic pain, and the ability to distinguish between pain and stress. Provider education, inter-rater reliability and ease of use are important factors that contribute to an assessment tool's success. Each scale studied had strengths and limitations that aided or hindered its use for measuring neonatal pain in the neonatal intensive care unit, but no scale excelled in all areas identified as important for reliably identifying and measuring pain in this vulnerable population.ConclusionA more comprehensive neonatal pain assessment tool and more provider education on differences in pain signals in premature neonates may be needed to increase the clinical utility of pain scales that address the different aspects of neonatal pain.

PurposeTeleworking, working from home and flexible work have gained popularity over the last few years. A shift in policies and practices in the workplace is required owing to the COVID-19 pandemic accelerating current trends in work-from-everywhere (WFE) research. This article presents a systematic literature review of WFE research from 1990 to early 2023 to understand the transformation of the field.Design/methodology/approachThe Web of Science database was used to conduct this review based on rigorous bibliometric and network analysis techniques. The prominence of the research studied using SPAR-4-SLR and a collection of bibliometric techniques on selected journal articles, reviews and early access articles. Performance and keyword co-occurrence analysis form the premise of cluster analysis. The content analysis of recently published papers revealed the driving and restraining forces that help define and operationalize the concept of WFE.FindingsThe major findings indicate that the five established and accelerated trends from cluster analysis are COVID-19 and the pandemic, telework(ing), remote working, work from home and well-being and productivity. Driving and restraining forces identified through content analysis include technological breakthroughs, work–life integration challenges, inequality in the distribution of jobs, gender, shifts in industry and sector preferences, upskilling and reskilling and many more have been published post-COVID in the restraining forces category of WFE.Practical implicationsA key contribution of this pioneering study of “work from everywhere” is the linking of the bibliometric trends of the past three decades to the influencing and restraining factors during the pandemic. This study illustrates how WFE could be perceived differently post-COVID, which is of great concern to practitioners and future researchers.Originality/valueA wide range of publications on WFE and multiple synonyms can create confusion if a systematic and effective system does not classify and associate them. This study uses both bibliometric and scientometric analyses in the context of WFE using systematic literature review (SLR) methods.

Background Engineering in K-12 STEM (Science, Technology, Engineering and Mathematics) education is increasingly emphasised for its role in providing authentic contexts and enhancing student engagement and interest in STEM fields. Purpose This paper presents a systematic literature review of empirical research on engineering experiences within K-12 STEM education, aiming to assess the characteristics of these studies and the focus of engineering practices. Sample The review analysed 38 peer-reviewed journal articles from the Web of Science database. These articles, published between 2013 and 2023, met the following inclusion criteria: journal articles, empirical studies of STEM projects and K-12 education with a focus on engineering. Design and methods A systematic search and review process following the PRISMA method was employed to identify studies documenting engineering experiences in K-12 education. The selection criteria aimed to capture a wide range of engineering practices and their impact on STEM education at the K-12 level. Results Findings reveal an emphasis on design-based tasks and challenges central to engineering practices in K-12 STEM education. These include a focus on problem-solving skills and tasks and engineering design processes. Engineering tool use considered epistemic to the disciplines varied, with prototyping and model building identified as the most frequently utilised. The study offers a comprehensive perspective on engineering practices in K-12 STEM education, highlighting the importance of such practices in enhancing the quality of STEM education. Conclusion By providing insights into engineering practices, this review supports educators and researchers in improving the representation of engineering within K-12 STEM curricula, aiming to ensure a sound foundation for future STEM learners.