Keyword Analysis Research Articles

Navigating the Sustainability–Luxury Paradox: Bibliometric Insights and Research Directions

ABSTRACTSustainable luxury integrates environmentally conscious practices with high standards in luxury offerings, propelling the growth of this market. But how navigable is this paradoxical alliance between luxury and sustainability? Accordingly, research in this domain has also taken a fillip. The present study provides a comprehensive understanding of the field's current state and offers future directions through a bibliometric analysis. We employ bibliographic coupling, citation analysis, keyword analysis, and cluster analysis using Biblioshiny and VOSviewer to map the intellectual structure of sustainable luxury by analysing 301 articles (1986–2004). We present insights into sustainable luxury literature, including authors, highly cited papers, popular journals, regional publication trends, and keyword analysis. The cluster analysis reveals five key research clusters: sustainability in luxury and fashion, sustainable practices in luxury hospitality, the sharing economy, corporate social responsibility (CSR) and ethical considerations in the luxury sector, and luxury sustainability strategies and consumer roles in conspicuous luxury consumption. It highlights that consumer perceptions of durability, CSR, and cultural identities shape sustainable luxury consumption. It emphasises the need to reconsider traditional economic dynamics due to the rise of second‐hand luxury and the sharing economy. Based on our synthesis, we propose research questions for future exploration by employing the Theory, Context, Characteristics, and Methods framework and incorporating inputs from expert practitioners in the sustainable luxury domain.

Mapping Social Capital and Unveiling Emerging Trends through Systematic Literature Review and Bibliometric Analysis

The Social Capital (SC) concept is investigated by researchers in numerous academic disciplines including, business, education, entrepreneurship, economics, human resource management, environmental and health sciences, and political and social sciences. This study is dual-focused and uses a Systematic Literature Review (SLR) and bibliometric analysis to examine the literature on SC both quantitatively and qualitatively. This study examined seven research questions: 1) the descriptive detail of the recognized previous studies on SC, 2) the tendencies of the annual scientific production on SC, 3) the greatly related and greater-influence factors on SC, 4) clustering of sources based on Bradford's Law, 5) the most relevant nations for SC, 6) the highly relevant authors and the authors' productivity through Lotka’s Law of Authors’ Scientific Productivity, and 7) the emerging trends and themes for future investigations in the field of SC. 4295 articles that were extracted from the Scopus database were analyzed in this study using the SLR and bibliometric analysis mapping approaches. VOSviewer and Biblioshiny software were the analysis tools used. The results indicate that SC is a subject discipline evolving progressively, with a record of 20.21% yearly growth in scientific productivity between 1994 and 2023. The USA, UK, and China were the highly relevant nations in the discipline of SC based on scientific publications and citations. Social networking, entrepreneurship, innovation, knowledge management, social media, sustainability, human capital, psychological capital, intellectual capital, governance, collective actions, and cultural capital are the emerging trends and pathways for impending researchers in the context of SC, as per the keyword clusters co-occurrence analysis, thematic map of keywords analysis, and trend topic analysis. The present article offers an extensive literature evaluation, which contributes to the remaining literature on SC. The results of this investigation will be advantageous for students, entrepreneurs, employers, politicians, government, policymakers, and society worldwide.

Global Research Evidence on Anxiety and Intellectual Disability: A Bibliometric Analysis

ABSTRACT People with intellectual disabilities are at a higher risk of experiencing anxiety than the general population; however, this relationship is complex and not yet fully understood. The aim of this study was to map and evaluate, from a bibliometric perspective, the scientific production related to anxiety and intellectual disabilities. The Web of Science database was used, along with search terms related to the study theme validated by Medical Subject Headings. The findings reveal an annual growth rate of 5.41% in publications, with the highest production year being 2019. The majority of the documents were research articles and review articles. The United Kingdom emerged as the leading country in terms of authorship frequency, while the Journal of Intellectual Disability Research proved to be the most active journal, and Lund University was the leading institution. The VOSviewer clustering algorithm was employed for keyword analysis, identifying mental health, comorbidity, social anxiety, autism spectrum disorders, high functioning autism, intervention, and psychotherapy as emerging and current research trends. The main collaboration networks were found in Europe and Anglophone countries. These findings can serve as a foundation to understand the structure of the literature and promote collaborations, as well as to identify emerging trends in research on anxiety and intellectual disability.

Global Research on Cyberchondria: Scientometric and Visual Analysis From 2003 to 2022.

This study aims to summarise the research themes, hotspots, and boundaries in the field of cyberchondria using scientometrics and visual analysis methods. Until 31 December 2022, 181 publications (165 articles, 16 reviews) were identified under the topic of 'cyberchondria' in the Web of Science Core Collection database. VOSviewer was used for analysis. It was observed that publications related to cyberchondria have rapidly developed into a research area in the last 4years, constituting 79.0% (n=143) of the total publications. The most common co-occurring keywords are 'cyberchondria', 'health anxiety', and 'COVID-19'. Clusters representing three different themes were obtained by conducting co-occurring keyword analysis. The first and largest cluster comprises 'COVID-19', 'anxiety', and 'internet addiction', the second cluster includes 'cyberchondria' and 'health anxiety', and the third cluster centres around 'health information' and 'health education' keywords. This study has mapped out the information landscape of cyberchondria research over the past 20years using scientometric and visual analysis methods. The significant increase in recent years indicates a diversification and continued growth in studies conducted in this field. By presenting the general state of the field, this study provides valuable insights for future research endeavours.

Artificial Intelligence‐Supported Student Engagement Research: Text Mining and Systematic Analysis

ABSTRACTArtificial intelligence (AI) is increasingly exploited to promote student engagement. This study combined topic modelling, keyword analysis, trend test and systematic analysis methodologies to analyse AI‐supported student engagement (AIsE) studies regarding research keywords and topics, AI roles, AI systems and algorithms, methods and domains, samples and outcomes. Findings included the following: (1) frequent‐used and emerging keywords comprised ‘machine learning’, ‘artificial intelligence chatbot’ and ‘collaborative knowledge building’. (2) Frequently studied topics included ‘AI for MOOCs and self‐regulated learning’ and ‘affective computing and emotional engagement’. (3) Most studies adopted intelligent tutoring systems, traditional machine learning methods and natural language processing. (4) Emotional engagement regarding affective or psychological states among college students received the most attention. (5) Most studies adopted quantitative approaches and concerned computer science and language education. Accordingly, we highlighted AI's roles as tutors, advisors, partners, tutees and regulators for behavioural, cognitive and emotional engagement to inspire AI's effective integration into education.

Environmental Aspects in ESG Strategies for Mid-sized Enterprises: The Case of HL Group

This study aims to analyze HL groups’ corporate efforts concerning the environmental (E) aspects of ESG (Environmental, Social, Governance) practices and propose future considerations. The analysis examined sustainability reports from 2021 to 2023 for HL groups’ subsidiaries – HL Holdings, HL Mando, HL D&I, and HL Klemove. The study focused on carbon emissions, water usage, waste generation, and energy consumption. Additionally, activities related to biodiversity conservation were examined through keyword analysis, materiality analysis, and adherence to GRI 304 Standards. In terms of carbon emissions, for all companies, Scope 2 emissions were higher than Scope 1 emissions. Therefore, it is necessary to set carbon neutrality goals and implement reduction strategies such as renewable energy development. In terms of water usage, HL D&I Halla transparently disclosed the water usage during the construction process and reduced its water usage by 8% in 2023 compared to 2022. Regarding waste emissions, HL D&I Halla reduced waste by 63% in 2023 compared to the previous year and achieved a 100% recycling rate. For energy usage, it was confirmed that all companies are voluntarily making efforts to reduce their energy consumption. In a comparison with other companies in the mobility industry, HL Mando showed an increase in all factors except for Scope 1 emissions. However, the company is making efforts towards eco-friendly management by establishing an environmental department and setting carbon neutrality goals. In the construction industry, HL D&I Halla showed a decrease in all analyzed factors. In terms of biodiversity conservation, no company selected biodiversity as a significant issue in 2023. Despite HL groups’ efforts in the environmental domain, some companies were found to have insufficient performance in eco-friendly management. Specifically, regarding biodiversity conservation, all four companies need to make more concrete and practical efforts in the future.

Unveiling Current and Future Trends in the Implementation of Teaching Games for Understanding in Primary School: A Bibliometric Analysis

Unveiling Current and Future Trends in the Implementation of Teaching Games for Understanding in Primary School: A Bibliometric Analysis

Global research trends in music therapy for surgery: a bibliometric analysis (2009–2023)

Music therapy, known for its profound impact on human emotions and physiology, has gained increasing attention for its applications in medical settings, particularly in surgery. This study conducted a bibliometric analysis of publications on the application of music therapy in surgery from 2009 to 2023, utilizing the Web of Science Core Collection (WoSCC) as the primary database. A total of 479 publications were analyzed using VOSviewer, CiteSpace, Microsoft Excel, and online bibliometric tools. Findings indicate a steady increase in annual publications since 2009, peaking in 2021. The USA leads global research efforts with 31.7% of publications, followed by China (17.7%) and Italy (10%). Harvard University was identified as the top contributing institution, while the Journal of Perianesthesia Nursing was the primary publishing journal, and the Cochrane Database of Systematic Reviews was the highest co-cited journal. Cao Hua contributed the most publications, and Nilsson U was identified as the most co-cited author (n = 131). Keyword analysis highlighted anxiety, therapy, music therapy, and pain as primary research trends. This study provides valuable insights into the evolving landscape of music therapy research in surgical contexts. Future efforts should focus on expanding interdisciplinary collaborations, exploring advanced technologies for personalized interventions, and investigating optimal implementation strategies to enhance the integration of music therapy into surgical practice.

The impact of bariatric surgery on gut microbiota: a bibliometric analysis of research trends and scientific contributions

BackgroundObesity is a prevalent global disease closely linked to various chronic conditions. Bariatric surgery (BS) is currently recognized as the most effective treatment. Increasing evidence suggests that BS alters the gut microbiota (GM), which plays a crucial role in postoperative weight loss. However, there has been no systematic bibliometric analysis exploring the relationship between BS and GM to date.MethodsWe conducted a literature search on BS and GM from January 1, 1981, to May 25, 2024, within the Web of Science Core Collection (WoSCC). We utilized Excel 2021, VOSviewer 1.6.19, CiteSpace 6.2.R3, and the R package “bibliometrix” 4.3.0, along with the online bibliometric analysis platform (https://bibliometric.com/app), to visualize publishing trends and research hotspots in this field.ResultsA total of 2,542 articles meeting the criteria were included. Since 2015, the rate of publication has significantly accelerated. The United States leads in both the number of publications and average citations per article. The University of São Paulo is the most active institution, whereas the University of Copenhagen has the highest average citation count. Obesity Surgery is the journal with the highest number of publications, and the most prolific author is Karine Clement. Keyword and thematic analyses indicate that “gut microbiota” and “bariatric surgery” are the primary research hotspots for future studies.ConclusionIn summary, this field is garnering increasing attention. Our findings suggest that future research will likely focus on the effects of bariatric surgery on gut microbiota and its biological mechanisms, the role of gut microbiota in the weight loss process, and the development of combined treatments based on gut microbiota.

Revealing breakthrough trends in teacher effectiveness research: a comprehensive bibliometric analysis with Lotka’s and Price’s law

PurposeThis paper aims to examine the key domains and prevailing trends in the context of teacher effectiveness while proposing directions for future research in this area.Design/methodology/approachUtilising the Science Citation Index Expanded and Social Sciences Citation Index databases within Scopus, covering the period from 2014 to 2024, a bibliometric review of 555 studies related to teacher effectiveness is conducted. This paper employs Bibliomagika 2.2, OpenRefine, R Output, IIPMaps and VOSviewer to screen, clean, analyse and report relevant and ethical data.FindingsBased on the bibliometric analysis, we identified and revealed the subsequent publication trends, Lotka’s law and Price’s law authorship distribution patterns, the most active countries and thematic analysis of highly cited documents. We further integrate thematic analysis that emerged in highly cited documents with co-occurrence analyses of author keywords in the literature on teachers’ effectiveness research. However, the findings contradict the traditional distribution of Lotka’s law and Price’s law.Research limitations/implicationsThis finding has a notable limitation as it only covers 10 years of Scopus database data and predominantly focuses on English-language documents. Furthermore, this study does not thoroughly examine contextual factors influencing these trends, such as educational policy, technological progress and COVID-19 endemic repercussions. Finally, it should be emphasised that the analysis of trends extracted in Scopus cannot be generalised as the study relies heavily on citation metrics, which vary significantly across disciplines, leading to potential biases in evaluating teacher effectiveness studies, particularly those with an interdisciplinary nature.Originality/valueThis study provides readers with an in-depth analysis and understanding of the development of teacher effectiveness research with Lotka’s law and Price’s law. It also highlights recommendations for future research directions to ensure its sustainability, survival and expansion in the coming decades align with the United Nations Educational, Scientific and Cultural Organisation's (UNESCO’s) Sustainable Development Goal 4 of quality education.

A bibliometric analysis of the top 100 most cited articles on corticospinal tract regeneration from 2004 to 2024

ObjectiveHere, bibliometric and visual analytical techniques were employed to assess the key features of the 100 most cited publications concerning corticospinal tract (CST) regeneration.MethodsResearch was conducted within the Web of Science Core Collection to pinpoint the 100 most cited publications on CST regeneration. From these, comprehensive data encompassing titles, authorship, key terms, publication venues, release timelines, geographic origins, and institutional affiliations were extracted, followed by an in-depth bibliometric examination.ResultsThe 100 most cited publications were all published between 2004 and 2024. These seminal papers amassed an aggregate of 18,321 citations, with individual citation counts ranging from 83 to 871 and a median of 136 citations per paper. Schwab M. E., stood out as the most prominent contributor, with significant authorship in 9 of the 100 papers. The United States dominated the geographical distribution, accounting for 49 of the articles. With 17 publications, the University of California System led the institutional rankings. A thorough keyword analysis revealed pivotal themes in the field, encompassing the optic nerve, gene expression, CST integrity and regeneration, diffusion tensor imaging, myelin-associated glycoproteins, inhibitors of neurite outgrowth, and methods of electrical and intracortical microstimulation.ConclusionThis investigation provides a bibliometric analysis of CST regeneration, underscoring the significant contribution of the United States to this field. Our findings unveiled the dynamics and trends within the field of CST regeneration, providing a scientific foundation for advancing clinical applications. Building on this analysis, the clinical application of CST regeneration should be optimized through interdisciplinary collaboration, enabling the exploration and validation of a variety of therapeutic approaches, including the use of neurotrophic factors, stem cell therapies, biomaterials, and electrical stimulation. Concurrently, additional clinical trials are necessary to test the safety and efficacy of these therapeutic methods and develop assessment tools for monitoring the recovery of patients. Furthermore, rehabilitation strategies should be refined, and professional education and training should be provided to enhance the understanding of CST regeneration treatments among both medical professionals and patients. The implementation of these strategies promises to enhance therapeutic outcomes and the quality of life of patients with spinal cord injury (SCI).

Global research trends on gastrointestinal cancer and mental health (2004–2024): a bibliographic study

BackgroundGastrointestinal (GI) cancers impose a significant burden on global public health. Patients often experience mental health challenges due to physical changes and treatment-related symptoms, which can worsen their condition or delay recovery. Although research is mounting in this field, visual bibliometric analysis has not yet been conducted. This study aims to reveal the research hotspots and frontiers in this field using bibliometrics to guide future research.MethodsThe publications on GI cancer and mental health were retrieved in the Web of Science Core Collection from 2004 to 2024. VOS Viewer and CiteSpace, as commonly used bibliometric analysis tools, were employed to visualize the network structure of bibliometric data and uncover the evolving trends in scientific research fields. VOS Viewer was used to identify keyword co-occurrences, while CiteSpace was utilized to generate network visualizations, produce dual-map overlays of journals, and perform burst keyword analysis.ResultsA total of 1,118 publications were included for analysis. China had the highest number of publications in this field (341, 30.5%), while the United States held a central position (centrality = 0.48). The most productive author and institution were Floortje Mols and Tilburg University, respectively. Keyword analysis highlighted that “quality of life” (QoL) is a prominent research topic in the field, while “complications,” “cancer-related fatigue,” (CRF) “chronic stress,” and “epidemiology” have been identified as key areas for future research.ConclusionResearch interest in this field continues to grow. The research direction is mainly focused on personalized mental health interventions to improve QoL, as well as preoperative mental healthcare and ongoing care through internet-based multidisciplinary collaboration to reduce postoperative complications. More detailed clinical symptom assessment is needed to distinguish between CRF and mental health issues and to provide targeted intervention measures in the future. The mechanism of mental health effects on the occurrence and development of GI cancer will be a frontier.

Mapping knowledge landscapes and emerging trends in artificial intelligence for antimicrobial resistance: bibliometric and visualization analysis

ObjectiveTo systematically map the knowledge landscape and development trends in artificial intelligence (AI) applications for antimicrobial resistance (AMR) research through bibliometric analysis, providing evidence-based insights to guide future research directions and inform strategic decision-making in this dynamic field.MethodsA comprehensive bibliometric analysis was performed using the Web of Science Core Collection database for publications from 2014 to 2024. The analysis integrated multiple bibliometric approaches: VOSviewer for visualization of collaboration networks and research clusters, CiteSpace for temporal evolution analysis, and quantitative analysis of publication metrics. Key bibliometric indicators including co-authorship patterns, keyword co-occurrence, and citation impact were analyzed to delineate research evolution and collaboration patterns in this domain.ResultsA collection of 2,408 publications was analyzed, demonstrating significant annual growth with publications increasing from 4 in 2014 to 549 in 2023 (22.7% of total output). The United States (707), China (581), and India (233) were the leading contributors in international collaborations. The Chinese Academy of Sciences (53), Harvard Medical School (43), and University of California San Diego (26) were identified as top contributing institutions. Citation analysis highlighted two major breakthroughs: AlphaFold’s protein structure prediction (6,811 citations) and deep learning approaches to antibiotic discovery (4,784 citations). Keyword analysis identified six enduring research clusters from 2014 to 2024: sepsis, artificial neural networks, antimicrobial resistance, antimicrobial peptides, drug repurposing, and molecular docking, demonstrating the sustained integration of AI in antimicrobial therapy development. Recent trends show increasing application of AI technologies in traditional approaches, particularly in MALDI-TOF MS for pathogen identification and graph neural networks for large-scale molecular screening.ConclusionThis bibliometric analysis shows the importance of artificial intelligence in enhancing the progress in the discovery of antimicrobial drugs especially toward the fight against AMR. From enhancing the fast, efficient and predictive performance of drug discovery methods, current AI capabilities have revealed observable potential to be proactive in combating the ever-growing challenge of AMR worldwide. This study serves not only an identification of current trends, but also, and especially, offers a strategic approach to further investigations.

Research Trends of Traditional Chinese Medicine Therapies on Chronic Obstructive Pulmonary Disease: A Bibliometric Analysis.

Traditional Chinese Medicine (TCM) therapies have shown great improvement in chronic obstructive pulmonary disease (COPD) patients, yet no bibliometric analysis on TCM therapies for COPD exists. A comprehensive literature search was conducted on TCM therapies for COPD within the past decade, utilizing the Web of Science (WOS) Core Collection and China National Knowledge Infrastructure (CNKI) databases. To analyze collaborative patterns among countries/regions, institutions, and authors, as well as identify influential references and emerging research trends, CiteSpace and VOSviewer software were employed. The dataset comprised 625 articles from WOS and 5,641 from CNKI, revealing a consistent growth in COPD-related TCM research over the past 10 years. China emerged as the leading contributor, with a predominant focus on TCM Universities. The American Journal of Respiratory and Critical Care Medicine was the most cited journal, while Medicine published the highest number of articles. Li, JS was the most prolific author, and Barnes, PJ was the most frequently cited researcher. Key studies by Leung RWM: Eur Respir J. 2013;41(5):1051-7, Li SY: BMC Complement Altern Med. 2012;12:197, and Polkey MI: Chest. 2018;153(5):1116-24 garnered significant attention. Keyword analysis highlighted the prominence of Tai Chi, Chinese herbal medicine, acupoint sticking, acupuncture, lung function, quality of life, and inflammation as core research themes. Research on TCM therapies for COPD has gained growing attention over the past decade. Among the most commonly studied TCM interventions are Tai Chi, Chinese herbal medicine, acupoint sticking, and acupuncture. Lung function, quality of life, and inflammation have emerged as key areas of investigation and are likely to remain focal points for future research endeavors.

Status and prospects of research on new rural communities in China based on CiteSpace analysis

ABSTRACT New rural communities, as a model of rural residence, play a crucial role in rural development. This study utilizes the CNKI database and employs keyword analysis in CiteSpace to examine research on new rural communities in the 21st century. Findings reveal that: (1) The current research focuses on the necessity and promotion of national policies, identifying deficiencies in the policy system and improving. It also examines community planning systems, construction mode classifications, and performance evaluation methods, as well as governance models, stakeholders, and challenges. These areas are interconnected over time. (2) Time can be divided into three phases: the first phase, research focused on single elements such as health care, political construction, education, etc. with slow progress. The second stage, diversified explorations began, and policy research and practical reflection were coupled and developed. The third stage emphasizes more on the concern for humans, and the emphasis of the research is expanded from the material level to spiritual. (3) Present research has yielded significant outcomes, transitioning from empirical studies to profound theoretical analyzes. However, challenges persist, such as the absence of a comprehensive theoretical framework and methodological innovation. Future research should emphasize systematic exploration of policies, prioritize localized construction models, and drive research methodology innovation.

Bibliometric analysis of global research trends in vestibular neuritis (1980-2024).

Vestibular neuritis (VN) is a common cause of vertigo with significant impact on patients' quality of life. This study aimed to analyze global research trends in VN using bibliometric methods to identify key themes, influential authors, institutions, and countries contributing to the field. We conducted a comprehensive search of the Web of Science Core Collection database for publications related to VN from 1980 to 2024. Bibliometric data including publication year, keywords, citations, authors, journals, institutions, and countries were extracted and analyzed using VOSviewer software. A total of 624 publications were identified, showing a steady increase in VN research output, particularly after 2003. South Korea and the USA were the most prolific countries, while Acta Oto-Laryngologica and Otology & Neurotology were the leading journals in terms of publication count. Michael Strupp emerged as the most productive author. Keyword analysis revealed prominent research themes including diagnosis, treatment (vestibular rehabilitation, pharmacological interventions), pathophysiology, and the impact of VN on vestibular function. This bibliometric analysis provides a comprehensive overview of global VN research. The findings highlight the growing research interest in VN, with a focus on improving diagnostic accuracy, optimizing treatment strategies, and understanding the underlying mechanisms. This study can serve as a valuable resource for researchers, clinicians, and policymakers interested in the field of VN.

Exploring the landscape of exosomes in heart failure: a bibliometric analysis.

Exosomes, which carry bioactive RNAs, proteins, lipids, and metabolites, have emerged as novel diagnostic markers and therapeutic agents for heart failure (HF). This study aims to elucidate the trends, key contributors, and research hotspots of exosomes in HF. We collected publications related to exosomes in HF from the Web of Science Core Collection. Using VOSviewer, CiteSpace, Excel, and SRplot software, we performed a visualization analysis of authors, countries, institutions, keywords, and references. The publications on exosomes in the field of HF (N =2127) has grown rapidly. China (N =245, 42.683%) and the United States (N =170, 29.617%) are the leading contributors in this area. Wang L (N =14, 2.443%) is the most prolific author in the field. Key areas of exosome research in HF include mesenchymal stem cells (MSCs), angiogenesis, and microRNAs. Additionally, keywords and references analysis reveal that exosome research in HF is primarily focused on the role of exosomes in intercellular communication in HF, the value of miRNAs in exosomes as diagnostic markers, and the therapeutic mechanisms of MSC-derived exosomes. Exosomes are receiving increasing attention in the field of HF. Mapping the development landscape of exosomes in HF will help researchers accelerate progress in this area.

Bibliometric analysis of liposarcomas treatment from 2004 to 2023

BackgroundLiposarcomas are mesenchymal malignant tumors characterized by varying degrees of adipocytic differentiation that comprises approximately 20% of soft tissue sarcomas. Despite advancements in this field, there remains a need for a comprehensive understanding of the mechanisms, diagnosis, and treatment of liposarcomas. Currently, there is a lack of bibliometric surveys on the development trajectory of liposarcomas treatment, research hotspots, and author and team collaboration.MethodsIn this study, we obtained publications from the Web of Science database from 2004 to 2023, with a specific focus on the treatment of liposarcomas. By utilizing bibliometric methods, the data were processed to facilitate visual analysis of various aspects, including authors, countries, institutions, cocitations, keywords, references, and gene characteristics.ResultsThe number of publications on liposarcomas treatment has increased over the past two decades, from 39 in 2004 to 232 in 2023, with the United States of America contributing the most publications. Among the institutions, the Memorial Sloan Kettering Cancer Center had the highest volume of 87 publications. Notably, Alessandro Gronchi published 63 articles on the treatment of liposarcomas in the last 20 years. Cancers is the journal with the highest number of 57 publications. High-frequency keywords in these publications included “soft tissue sarcoma”, “liposarcoma”, “retroperitoneal sarcoma”, “surgery”, “dedifferentiated liposarcoma”, “trabectedin” and “radiotherapy”. Recent trends, identified through strong citation bursts from 2020 to 2023, include next-generation sequencing, radiotherapy, and patient-derived cell lines. High-frequency genes in the liposarcomas treatment field include TP53, MDM2, CDK4, DDIT3, and CD274.ConclusionsThe treatment of liposarcomas has garnered increasing attention worldwide in the last 20 years. The treatment approach has shifted from surgical resection to multidisciplinary therapy. The molecular and biological characteristics of different tumor subtypes have attracted more research attention, providing an important reference for the choice of treatment. The findings of this study contribute to providing a comprehensive understanding of liposarcomas treatment among researchers. Moreover, they offer valuable perspectives that can guide future research.

Supply Chain Finance, FinTech and Corporate Risk-Taking: Evidence from Textual Analysis of China Public companies’ Announcements

ABSTRACT In this study, we analyze the impact of FinTech-enabled supply chain finance (SCF) on corporate risk-taking through text analysis of SCF and FinTech keywords within 3.2 million announcements by public companies in China from 2007 to 2019. Our findings reveal that SCF significantly enhances firms’ risk-taking behavior and value. More SCF business types and frequent mentions of SCF in announcements correlate with higher risk-taking levels. Key mechanisms include easing financial constraints, broadening investment scopes, and improving capital efficiency. FinTech, with its advancements such as big data, artificial intelligence, and cloud computing, plays a crucial role in facilitating SCF’s effectiveness. The impact is more pronounced among companies in eastern and central China, larger firms, SOEs, and those in highly competitive sectors. These findings are still valid after a series of robustness tests.

The Ethical Role of Generative Artificial Intelligence in Modern HR Decision-Making: A Systematic Literature Review

The rapid development of generative artificial intelligence (AI) has led to the recognition of tools like ChatGPT and its potential to transform human resource (HR) management processes, particularly in decision-making. This review study aims to assess the effectiveness and benefits of ChatGPT in enhancing HR functions, particularly decision-making, and to identify any challenges and ethical considerations involved. Additionally, the study seeks to establish a hybrid framework that combines AI-driven decision-making with human oversight. A systematic literature review was conducted using PRISMA guidelines, selecting 50 articles from Scopus and Google Scholar databases. The literature review includes a synthesis analysis to assess publication trends and a keyword analysis to identify key themes such as ChatGPT’s impact on decision-making in HR management. The study reveals that ChatGPT can streamline HR processes, improve communication, and support personalized learning and decision-making, eventually contributing to enhanced performance and engagement. However, the technology requires human input for moral judgment and empathy, presenting challenges like resistance to adoption, algorithmic bias, and data privacy concerns. This study uniquely contributes to the literature by providing a systematic analysis of ChatGPT’s role in HR decision-making and proposing a hybrid framework that addresses AI’s limitations through ethical guidelines and human oversight. The findings emphasize the need for empirical research in larger, diverse settings and future enhancements to ChatGPT’s contextual understanding of HR.