Collaboration Patterns Research Articles

Women are awarded more team than solo grants and lead more gender-balanced teams than men

Abstract We modelled patterns of collaboration, team gender composition, and funding amounts across awarded Australian government-funded competitive team research grants from 2000 to 2020. The percentage of grants awarded to women at mid- and senior-career levels was higher for team grants than sole investigator grants compared to men at those levels. Teams led by women tended to have a greater percentage of women coinvestigators than teams led by men, but this was below gender parity regardless of team leader gender. Funding amounts per grant did not differ by the principal investigator’s gender and reached parity in 2020 across teams with both high and low representation of women. Since teams tend to be more gender-balanced when led by women, women’s grant leadership may be an important mechanism for shifting overall representation of women in research. We offer public policy measures to address gender inequities in the research sector.

Unveiling Trends, Themes and Collaborative Networks of Research on Sustainable Development Goals in India: A Bibliometric Analysis

The goal of global sustainability has acquired substantial attention as a result of the United Nation’s Sustainable Development Goals (SDGs), which serves as a comprehensive framework for addressing major societal and environmental concerns. This study applies bibliometric analysis to assess the landscape of research articles on the SDGs. The study aims to uncover significant trends, thematic areas, influential authors, and collaborative networks within the discipline through a comprehensive examination of an extensive body of scholarly literature. The analysis entailed gathering data from prominent academic database Scopus, spanning a specific time frame. Utilizing bibliometric technique, the study assesses patterns in publication, citation, and collaboration to provide a comprehensive understanding of the research landscape. The analysis dives into the frequency of SDG-related research outputs, identifies theme clusters and goal’s interconnections, and identifies significant works affecting the conversation. The results of this bibliometric investigation reveal evolving trends in SDGs research, identify emergent and established focal points, and shed light on the changing environment of research collaboration. The analysis focused on the progress made in tackling the SDGs across several academic disciplines, while also revealing gaps and potential for future research. The findings of this bibliometric analysis have significance for policymakers, researchers, and practitioners working to advance sustainable development efforts and strengthen the collective knowledge base in support of the SDGs.

Top 50 Most Cited Articles in Transplant Dermatology: A Bibliometric Analysis.

Solid organ transplant recipients are at high risk for developing skin malignancies due to prolonged immunosuppression. The field of transplant dermatology (TD) has experienced a surge in research and clinical advancements, yet there is no quantitative evaluation estimating the impact of TD literature. Identify and characterize the most frequently cited TD articles. Institute For Scientific Information Web of Science was used to identify the 50 most cited research articles in TD. Results were reviewed by 3 independent authors. A network analysis was performed to assess collaboration patterns among coauthors. Top articles held a combined total of 12,114 citations. The top-cited article was "Cancer incidence before and after kidney transplantation," by Vajdic and colleagues in the Journal of the American Medical Association (2006) with 872 citations. A total of 22 countries and 221 institutions were represented. This bibliometric analysis offers a detailed overview of the most cited manuscripts in TD and illustrates the discoveries steering TD research and practice.

Twenty-five years of Accounting History: A bibliometric analysis

This article reviews the 25 years of Accounting History. Using bibliometric analysis, we provide a summary of bibliometric statistics to present an overview of the peer-reviewed journal's publication landscape. For this reason, we use a sample of 566 documents from the Scopus database between 1996 and 2021. We document publication and citation data indicating an increased rate of productivity and influence. We identify the leading authors, institutions and countries and find that most contributions stem from Australia-based affiliations. We also apply network analysis to reveal the major themes, collaboration patterns and existing relationships among topics. We discover that the journal displays global views that are not limited to the wisdom of one country. We classify dominant topics into 11 clusters and suggest promising avenues for future research.

Artificial Intelligence in SAP S/4HANA: Transforming Enterprise Resource Planning through Intelligent Automation

This comprehensive article investigates the transformative impact of AI-enhanced SAP S/4HANA Finance across healthcare, manufacturing, scientific research, auto, food & Oil &Gas sectors, focusing on human-AI collaboration patterns and implementation outcomes. Through a mixed-methods approach analyzing 15 organizations over 18 months, the research examines how AI integration transforms traditional ERP functionalities into intelligent financial management systems. The article collected data from 450 end-users and 45 key stakeholders, employing both quantitative metrics and qualitative assessments to evaluate implementation patterns, challenges, and success factors. The findings reveal significant improvements across all sectors: healthcare organizations achieved 40% reduction in billing processing time and 15% improvement in collection rates; manufacturing entities realized 35% reduction in unplanned downtime and 22% decrease in working capital requirements; while research institutions demonstrated 45% faster grant processing and 35% improved budget forecasting accuracy. The article introduces the Adaptive Financial Intelligence Framework (AFIF) for conceptualizing human-AI collaboration in financial management, contributing to both theoretical understanding and practical implementation strategies. The article concludes that successful AI integration depends on industry-specific adaptations, comprehensive training programs, and robust governance frameworks while highlighting the critical role of human expertise in maximizing system benefits. These findings provide valuable insights for organizations pursuing AI-enhanced financial management solutions while offering a roadmap for future developments in human-AI collaboration within enterprise systems.

Exploring the evolution and collaboration in two-sided matching: a comprehensive bibliometric and topic modeling analysis

PurposeThis study aims to provide a comprehensive analysis of two-sided matching (TSM) research, an interdisciplinary field that integrates both theoretical and practical perspectives. By examining 756 research articles from the Web of Science database, this paper seeks to identify key trends, collaboration patterns and emerging research topics within the TSM domain.Design/methodology/approachThe research utilizes bibliometric analysis combined with a structural topic model to analyze TSM-related articles published between January 1, 2000, and September 30, 2022. The study identifies leading subfields, journals, countries/regions and institutions based on publication volume, total citations and average citations per article. Interaction and collaboration patterns among these entities are examined through co-occurrence and coupling networks. Additionally, five major research topics are identified and explored using topic modeling and co-word networks. This hybrid knowledge mining approach better reveals the inherent structural changes in topic clusters. Topic distribution and network analysis are beneficial in capturing the attention allocation of different entities to knowledge.FindingsThe analysis reveals five prominent research topics in TSM: communication resource allocation, stable matching research, computing task assignment, TSM decision-making and market matching mechanism design. These topics represent the main directions of TSM research. The study also uncovers a shift in research focus from theoretical aspects to practical applications. Furthermore, the distribution of knowledge and interaction patterns among key entities align with the identified research trends.Originality/valueThis study offers a novel and detailed overview of TSM research highlighting significant trends and collaboration patterns within the field. By integrating bibliometric methods with structural topic modeling the study provides unique insights into the evolution of TSM research making it a valuable resource for both academic and professional communities.

Student Dropout: A Bibliometric Analysis of Influencing Factors Using VOS Viewer to Explore Trends, Impact, and Collaborative Patterns

This article presents a bibliometric review of academic research on student dropout. The aim is to identify trends, evaluate the impact of publications, and examine collaboration patterns within this field. The SCOPUS database is utilized to identify and classify the most relevant research based on journals, articles, authors, institutions, and countries. Additionally, VOSviewer software is employed to map the bibliographic material, using co-citations and keyword co-occurrence for scientific mapping. The results indicate a significant increase in the number of publications over a 10-year period, reflecting a growing interest in the topic. Citation analysis reveals that certain key articles have had a substantial impact, being frequently cited in subsequent work. It is also observed that researchers with publications in Q1 and Q2 ranked journals have made significant contributions to the literature, marking a strong influence in the field. In terms of collaboration, there is an increase in international partnerships, with a growing number of publications co-authored by researchers from different countries. Leading institutions in student dropout research include universities in the United States, Europe, and Latin America, noted for their high scientific output and influence on the topic. This bibliometric analysis not only provides a detailed view of trends and the impact of research on student dropout but also highlights the importance of international collaboration in advancing knowledge in this field. Received: 29 July 2024 / Accepted: 23 October 2024 / Published: 05 November 2024

Bibliometric Analysis of Spline Regression Model for Trend Mapping and Strategy Development Research Using Vosviewer

Bibliometric analysis is a quantitative method used to measure and analyze scientific literature. This technique involves the collection and analysis of publication data, such as journal articles, books, and conferences, to evaluate and understand patterns of scientific communication, research productivity, author collaboration, journal impact, and trends within a scientific field. Bibliometric analysis has a limitation in that it is challenging to visualize effectively, necessitating the use of software for proper visualization. Therefore, this article discusses bibliometric analysis on spline regression for trend mapping and strategy development using VOSviewer software. The research results show that the visualization of spline regression keywords with VOSviewer can help in understanding patterns of relationships between variables, research trends, and network structures in scientific literature. Based on the analysis results, bibliometric analysis on spline regression can be visualized in trend mapping, which can aid in planning further research strategies, including identifying collaboration opportunities and underexplored research areas.

Influence and collaboration in library and information science research: A university perspective

Objective. The objective of this study was to examine the influence and collaboration patterns within library and information science (LIS) research, with a particular focus on the contributions of universities over time. Design/Methodology/Approach. This study used bibliometrics and LIS network analysis to examine 14,517 articles indexed in Scopus from 1954 to 2023. The Bibliometrix R-package was used to identify publication trends, influential institutions, authors, and collaboration networks in the LIS field. Findings. The key findings indicated that Wuhan University was the foremost institution in LIS research, with notable contributions from Chinese scholars who were identified as the most influential authors in the field. The keywords “information science” and “information retrieval” emerged as common thematic areas, reflecting core research interests. The content analysis also revealed that LIS research had robust connections with fields such as physics, computer science, and information technology, underscoring an interdisciplinary trend. Originality/Value. This study offered original insights into the evolving landscape of LIS research, identifying both leadership in academic output and potential gaps in current research coverage. It underscored the necessity for future research to expand the scope of its database and refine keyword selection for more comprehensive representation. The findings contributed to the strategic development of LIS research and the fostering of international collaboration.

Modeling The Evolution of Community Structure by the Dynamic Network Analysis: Sustainability Transition in Kyoto Eco-School Districts, Japan

Sustainability transition increasingly relies on local institutional settings and community-based efforts where local agencies play pivotal roles. A significant gap lies in understanding the dynamic interplay among community-based organizations over time that shape evolving strategic collaborations in different stages to drive local institutional change. This study adopts a dynamic network approach to map the evolving community structure, identify key organizations, and detect collaboration patterns among local actors by the case study of Kyoto, Japan. Furthermore, it explores the influence of significant events and policies on the network evolution. The study uncovers three main findings. Firstly, a three-stage evolution of the local network is concluded that presents incremental change towards an expanding, decentralized community structure, forming collaborative governance. Secondly, five collaboration patterns and their dynamics are revealed, reflecting evolving strategic alliances that play different roles in leveraging resources throughout the process. Thirdly, the effects of policies and events on the network are well reflected and explained through matching the time series data. The Kyoto case uncovers hidden community dynamics that illuminate local pathways to sustainable practices, offering guidance for policymaking and practices that resonate more broadly with globally relevant contexts.

How do network embeddedness and knowledge stock influence collaboration dynamics? Evidence from patents

Science, technology, and innovation are becoming increasingly collaborative, prompting concerted efforts to understand and measure the factors influencing these collaborations. This study aims to explore the driving factors and underlying mechanisms of collaboration dynamics based on patent data. Multilayer longitudinal networks are constructed to scrutinize interactions among organizations as well as the embedding of their knowledge elements in the network fabric. We then analyze the structures and characteristics of collaboration and knowledge networks from global and local perspectives, in which process topological indicators and graphlets are used to feature each organization's collaborative patterns and knowledge stock. Knowledge elements are extracted to present the core concepts of patents, overcoming the limitations of predefined categorizations, such as IPC, when representing technological content and context. By performing a longitudinal analysis using a stochastic actor-oriented model, we integrate network structures, node characteristics, and different dimensions of proximity to model collaboration dynamics and reveal the driving factors behind them. An empirical study in the field of lithography finds that organizations with a larger number of partners or a higher number of annular graphlets in their collaboration networks are less likely to collaborate with others. If an assignee has a more extensive range of knowledge elements and demonstrates a higher capability for knowledge combination, or if its local knowledge network exhibits weaker connectivity, its propensity to seek new collaborators increases. Both cognitive and organizational proximity play important roles in fostering collaboration.

Measuring the global scientific literature on big data analytics in the LIS: the blending approach of altmetrics and bibliometrics

Purpose This study aims to measure scientific literature on the emerging research area of “big data” in the field of “library and information science” (LIS). Design/methodology/approach This study used the “bibliometric method” for data curation. Web of Science and altmetric.com were used. Data analysis and visualisation were done using three widely used powerful data analytics software, R-bibliometrix, VOSviewer and Statistical Package for Social Sciences. Findings This study revealed the most preferred venues for publication. Furthermore, this study highlighted an association between the Mendeley readers of publications and citations. Furthermore, it was evident that the overall altimetric attention score (AAS) does not influence the citation score of publications. Other fascinating findings were moderate collaboration patterns overall. Furthermore, the study highlighted that big data (BD) research output and scientific influence in the LIS sector are continually increasing. Practical implications Findings related to BD analytics in LIS techniques can serve as helpful information for researchers, practitioners and policymakers. Originality/value This study contributes to the current knowledge accumulation by its unique manner of blending the two approaches, bibliometrics and altmetrics.

Global Research Trends on Factors Affecting Patient Satisfaction Levels in Hospital Inpatient Wards: A Bibliometric Analysis

ABSTRACT Research on patient satisfaction in hospital inpatient rooms is one of the main focuses in efforts to improve the quality of health services. Understanding the factors that influence patient satisfaction is crucial for policy makers and healthcare practitioners. Although various studies have been conducted, the global map of this research trend is still not clearly depicted. This study aims to fill this gap by conducting a bibliometric analysis of the literature related to patient satisfaction in hospitals, using a visualization approach to provide deeper insights into the dynamics of research in this area. The method used involved data collection of scholarly articles from 2014 to 2024 using Google Scholar's Publish or Perish application. A total of 50 articles were selected based on relevance to keywords such as Patient Satisfaction, Inpatient Room, Satisfaction Factors, Hospital, and Health Services. This data was then analyzed using VOSviewer to visualize the relationship between various elements in the literature through network visualization, overlay visualization, and density visualization. This approach mapped research trends, identified key clusters, and showed collaboration patterns and dominant topics. The results show that service quality and patient satisfaction are the main focus in the literature. Research clusters showed significant attention to basic aspects of healthcare such as hospital care and facilities, while demographic aspects and specific determinants were less explored. Citation analysis showed that articles providing comprehensive reviews or practical models received more attention. In addition, the density visualization revealed the dominance of quality of care aspects, but also showed the potential for further research on topics such as technological innovation and the impact of health policy. The conclusions of this study show that although much research has been conducted, there are still significant research gaps that can be further explored. This study maps global trends in patient satisfaction studies, and provides guidance for researchers to focus on less explored areas, thereby contributing to the improvement of healthcare quality in hospitals. Keywords: Patient Satisfaction, Service Quality, Hospital, Bibliometric Analysis.

China–US scientific collaboration on sustainable development amidst geopolitical tensions

This study aims to investigate whether growing geopolitical competition has affected international collaboration in sustainable development research, with a particular focus on structural changes in bilateral research collaboration between China and the United States. Three datasets have been created and compared using bibliographic information provided by the Web of Science core collection: before the Trump administration, during the Trump administration, and during the Biden administration. The results indicate that countries worldwide have conducted extensive research in sustainable development, and the United States, China, and the United Kingdom have produced the most publications, demonstrating a high level of scientific research productivity. Concerning the collaborative patterns of sustainable development research, China and the United States are each other’s largest collaborative partners. The intensity of scientific research collaboration between the two countries has not declined due to geopolitical tensions. Conversely, the intensity of scientific research between the two countries is still increasing. The keyword thematic explorations reveal that research on China–US collaboration has focused differently across the three time periods and that despite differences in research bias, efforts to contribute to advancing the achievement of the SDGs have been consistent. It is possible that geopolitical considerations have heightened the urgency of policy research and led to its incorporation into research centers.

Health and medical informatics research: Identifying international collaboration patterns at the country and institution level

Health and medical informatics research: Identifying international collaboration patterns at the country and institution level

Bibliometric Analysis of the Role of Nurses in Addressing Urban and Rural Public Health Disparities

This bibliometric analysis study explores the thematic and collaborative dynamics within the field of public health research, particularly focusing on the period from 2000 to 2024. Utilizing VOSviewer, we analyzed keyword occurrences and authorship data to identify central themes and the interconnections between researchers. The analysis reveals a strong emphasis on health disparities, with specific attention to access, quality, and policy issues. The emergence of COVID-19 as a significant research theme highlights the field's responsiveness to global health crises and its impact on existing inequalities. The study also maps out key contributors and their collaboration patterns, providing insights into the intellectual structure and potential gaps in the research community. Our findings emphasize the need for interdisciplinary approaches and greater collaboration to address the multifaceted challenges of global health disparities effectively.

Laozi’s Influence on Contemporary Rap Music: A Study of Cultural Protection and Inheritance

This study investigates the influence of Laozi’s teachings on contemporary rap music, focusing on themes of cultural protection and inheritance. Through a mixed-methods approach, qualitative and quantitative analyses were conducted to explore the extent of Laozi's influence in rap lyrics. Qualitative analysis involved in-depth examination of lyrical content to identify thematic parallels with Laozi's philosophy, while quantitative analysis quantified instances of Laozi references in selected rap songs. The results reveal a steady increase in Laozi references in rap music over time, with prevalent themes including harmony, self-awareness, and balance. Geographic distribution highlights a global reach of Laozi-inspired rap, transcending cultural boundaries. Collaboration patterns, sentiment analysis, and commercial performance further elucidate the multifaceted relationship between Laozi's teachings and contemporary rap culture. This study contributes to understanding the dynamics of cultural transmission and adaptation in the modern music industry, showcasing the enduring relevance of ancient wisdom in shaping artistic expression.

Making integration happen: managers’ views on multidisciplinary work in Finnish health system

Abstract Background In Finland, a large-scale health and social service reform was implemented in 2023. The structural reform centralised the organising of health and social services from some 200 organisations to 22 wellbeing services counties (WBSC). One goal of the reform was to promote service integration between and within health and social services. The reform offers a unique opportunity for investigating how such change unfolds. This study addresses the integration aspirations of those who are responsible for implementing the change, that is middle managers in WBSCs. We focus on micro and meso levels and explore how the aim of multidisciplinary collaboration is interpreted as part of advancing service integration by middle managers in one newly formed WBSC. Methods The data for this qualitative study were derived from 11 semi-structured interviews with senior and middle managers responsible for various fields of health and social care services in a single WBSC between October 2022 and June 2023. Inductive thematic analysis was applied. Results The managers framed multidisciplinary collaboration very positively and easier to achieve in the new organisation with health and social services united under the same management. The managers acknowledged the need to form collaborative structures (e.g. meetings) and processes at all levels of organisation. Leadership plays a crucial role in creating space for the professionals to form an experience of a shared every-day work. However, previous structures and patterns of work still seemed to limit these endeavours. Tensions between, for example, professional groups or units were left essentially untouched. Multidisciplinary collaboration will serve especially persons with complex and multiple needs and was framed key to cost savings. Conclusions While the structural reform opens a window of opportunity to new collaborative patterns, competing logics and interests as well as power imbalances may hamper the development if not addressed. Key messages • Middle managers had high hopes for multidisciplinary work after the health system reform, including effects on the difficult issues concerning costs and health workforce availability. • While the managers were prepared to promote multidisciplinary work, the prior organisational boundaries and logics hindered integration. Different tensions between stakeholders need more attention.

Quality Evaluation and Optimization of Idle Goods Swap Platform Based on Grounded Theory and Importance–Performance Analysis

Given economic downturns and environmental concerns, promoting innovative consumption patterns is urgently needed. Swap is a promising collaborative consumption pattern that redistributes ownership of goods without using money. In the past, no research has focused on swap platform quality due to a lack of empirical resources. Therefore, this study aims to construct theoretical methods for evaluating and optimizing the quality of swap platforms. Analyzing consumer characteristics and motivations, the study creates a user profile that guides swap platforms’ market positioning. Then a quality evaluation model for swap platforms is constructed to identify areas for improvement. Data were collected from core users of a start-up swap platform in Shanghai, including 20 in-depth interviews and 180 survey questionnaires. The findings reveal that the main consumers in Shanghai’s swap market are highly educated women aged 20 to 40, with upper-middle incomes. They are motivated by functional, charitable, economic, and hedonic factors. Using grounded theory and the IPA method, this study developed a quality evaluation model for swap platforms, consisting of 18 indicators that clearly distinguish areas of weakness and strengths. This study provides valuable insights into the methodological research of quality evaluation for swap platforms and offers practical suggestions for their optimization.

Long-term average throughput-utilization utility maximization in platform-aggregated manufacturing service collaboration

Enhancing capacity utilization of manufacturing resources is of utmost importance in tackling the current challenges of meeting customized and small-batch market demands. Given the research highlights on platform-based manufacturing service collaboration (MSC) offering high-quality service solutions, efficient service scheduling strategies are urgently needed to maximize overall utility amidst great computational complexity and unpredictable task arrivals. To address this issue, this paper proposes a novel distributed online task dispatch and service scheduling (DOTDSS) strategy in platform-aggregated MSC. What sets our method apart is its goal to optimize a long-term average utility performance with considering queuing dynamics of manufacturing services in multi-task processing, thereby maintaining sustainable platform operations. Firstly, we jointly consider task dispatch and service scheduling decisions into the formulation of a quality-of-service aware (QoS) stochastics optimization problem. The newly constructed logarithmic utility function effectively strikes a trade-off between the throughput and capacity utilization of manufacturing services with diverse capabilities. By incorporating the goal of reducing queue lengths, we then transform the optimization problem into a form with less computational complexity and guaranteed optimality using Lyapunov optimization. We further propose a DOTDSS strategy that relies solely on the current system state and queue information to generate scalable MSC solutions. It does not need to predict task arrival statistics in advance, and it exhibits great adaptability to uncertainties in task arrivals and service availabilities. Finally, numerical results based on simulation data and real workload traces demonstrate the effectiveness of our method. It also shows that the aggregation collaboration pattern among a group of candidates can achieve better performance than that by the optimal candidate alone.