Collaboration Patterns Research Articles

The Collaboration Patterns of Institution during the COVID-19 Pandemic

During the COVID-19 pandemic, scientific collaboration has profoundly influenced the sustainability of human science. The pandemic has exposed the fragility of the global health system, forcing various research institutions to cooperate more actively and giving rise to a pressing inquiry regarding its implications on the patterns of scientific institution collaboration. With this in mind, we investigate 2,252,016 scientific papers between 2019 and 2020 to study this issue from an institution cooperation view. Specifically, by proposing a novel weighted cooperation network and utilizing institution cooperation freshness, we investigate different collaboration patterns and strategies when institutions respond to the pandemic. The results show that the crisis generally promotes both fresh and stable cooperation relationships among institutions, and different fields (e.g., STEM and Humanities) demonstrate different collaboration patterns. During the pandemic, institutions with a strong influence have a variety of cooperation strategies, while institutions with a low influence prefer a conservative strategy. Moreover, institutions participating in COVID-19 research are very cautious in choosing partners, which may originate from the risk of cooperation, e.g., the fluctuation of influence, and the causal inference results also verify this conclusion. Overall, our study reveals the impact of the COVID-19 pandemic on scientific research work, which may pave the way for designing policy when other global crises occur again.

Cultural patterns in nonverbal collaboration between pairs of Indigenous children and pairs of urban middle-class children in México

This study examines cultural patterns in nonverbal collaboration between pairs of Mexican children with varying familiarity with Indigenous ways of Learning by Observing and Pitching In (LOPI) and school-like middle-class ways of learning. Two-hundred-fourteen 8 to10 year old Mexican children from either an Indigenous town or an urban middle-class community in a nearby city played Chinese checkers in same-gendered pairs against another team (90 girls and 124 boys). The pairs were “not allowed” to talk or risk having their pieces moved backwards. Coders identified how children worked together and communicated in 5-s segments. Results indicate Indigenous children from families that were likely familiar with LOPI more commonly engaged in collaboration where they worked together seamlessly relying heavily on joint activity. The urban middle-class children whose families indicated no recent Indigenous history were more likely to collaborate less fluidly with large movements and actions seemingly intended to draw attention.

Advances in Transdermal Drug Delivery Systems: A Bibliometric and Patent Analysis.

Transdermal drug delivery systems have become an intriguing research topic in healthcare technology and one of the most frequently developed pharmaceutical products in the global market. In recent years, researchers and pharmaceutical companies have made significant progress in developing new solutions in the field. This study sheds light on current trends, collaboration patterns, research hotspots, and emerging frontiers of transdermal drug delivery. Herein, a bibliometric and patent analysis of data recovered from Scopus and The Lens databases, respectively, is reported over the last 20 years. From 2000 to 2022, the annual global publications increased from 131 in 2000 to 659 in 2022. Researchers in the United States, China, and India produced the highest number of publications. Likewise, most patent applications have been filed in the USA, China, and Europe. The recovered patents are 7275, grouped into 2997 patent families, of which 314 were granted. This study could support the work of decision-makers, scientific managers, or scientists to create new business opportunities or save money, time, and intellectual capital, thereby defining when a research or technology project should be a priority or not.

Analysing Corporate Governance Research in the Pharmaceutical Industry: A Bibliometric Study

This study examines the current body of literature on Corporate Governance, aiming to provide an overview of publication metrics, collaboration patterns, key areas of focus, emerging trends in research, and potential future avenues for an investigation. To achieve the goals of this research, a range of bibliometric methods were employed. These included performance analysis, citation analysis, network analysis, trend analysis, and thematic mapping. These techniques were applied to a dataset of 303 documents sourced from the Scopus database, spanning the years 1987 to 2023. The Biblioshiny application of the R-studio software was utilized for this purpose. Extensive investigations of Corporate Governance began in 2008. The United States is the leading contributor, followed by the United Kingdom, and the majority of the leading contributors collaborate. The research pinpointed the most prominent journals, authors, and publications within the field by conducting a thorough citation analysis. The study offers a crucial understanding of the current state of research and suggests avenues for future research to fill this research gap.

Collaborative dialogue patterns of pair programming and their impact on programming self‐efficacy and coding performance

AbstractThe purpose of this study was to investigate the collaborative dialogue patterns of pair programming and their impact on programming self‐efficacy and coding performance for both slow‐ and fast‐paced students. Forty‐six postgraduate students participated in the study. The students were asked to solve programming problems in pairs; those pairs' conversations were recorded when they worked on their tasks. Data analysis methods, including lag sequential analysis, cluster analysis and paired t‐test, were employed, and the results showed that (1) four collaborative dialogue patterns emerged: Lecture, Guide, Question and Answer (Q&A), and Inquiry patterns; (2) Guide and Inquiry patterns significantly increased programming self‐efficacy for both fast‐ and slow‐paced students while Lecture and Q&A patterns significantly increased programming self‐efficacy for slow‐paced students but not for fast‐paced students; (3) Guide and Inquiry patterns played a significant role in improving coding performance for slow‐paced students. The study reveals a complex relationship between collaborative dialogue patterns with programming self‐efficacy and coding performance, critically affecting students' pair programming quality. Further details of the findings are also discussed. Practitioner notesWhat is already known about this topic Pair programming is promising in promoting problem solving and knowledge transfer and is widely used in programming education. There are different patterns observed in the pair programming process. Collaborative dialogue patterns found in “expert‐novice” pair programming were derived from a single programming task. What this paper adds Four collaborative dialogue patterns of pair programming emerged by increasing the different tasks and experiment duration and expanding the sample size, which further verified the stability of the similar patterns in previous studies. Four collaborative dialogue patterns showed different significant impacts on different students' programming self‐efficacy and coding performance. This study presents the finer‐grained characteristics of collaborative interaction in programmer pairs and contributes to the explanation regarding the different effects of pair programming reported in previous studies. Implications for practice and/or policy Four collaborative dialogue patterns can help the teachers understand the collaborative process of pair programming between fast‐ and slow‐paced students. The collaborative dialogue patterns can be used to formulate effective intervention strategies to stimulate the process of collaboration in pairs and applied in future programming education to provide a new path for cultivating and promoting students' programming abilities. It is worth further investigating the impact of collaborative dialogue patterns on students' computational thinking.

Collaborative Partnerships, Religious Reputation Culture, and Digital Tourism Promotion in Support of Halal Tourism Villages

This study focuses on two primary aspects of investigation. Firstly, it examines the digital methods that Small to Medium Tourism Enterprises (SMTEs) utilize and collaborative patterns with branding strategies to cultivate halal tourism villages. It employs a qualitative descriptive approach within the social phenomenology framework. Secondly, it identifies the most suitable alternative for SMTEs’ development using a Quantitative Strategic Planning Matrix (QSPM). The research concludes that enhancing SMTEs involves a multifaceted approach, including effective planning, digital transformation, fostering collaboration, and investing in halal-friendly infrastructure with standardization in halal certification. Through a qualitative approach and QSPM analysis, the study identifies strategic priorities like collaborative partnerships, religious reputation culture implementation, and digital tourism promotion as crucial strategies for SMTEs’ success. This research significantly contributes to the development of halal tourism enterprises by involving a unique context, employing less common methodology, and focusing on sustainable development. The limitations of this study pertain to the impact of uncontrollable external changes, while the future research agenda explores predictive modeling and regional comparisons to advance further the understanding of strategy outcomes in halal tourism development.

Sustainable Supplier Selection through Multi-Criteria Decision Making (MCDM) Approach: A Bibliometric Analysis

Background: The primary objective of this study was to examine the advancements in sustainable supplier selection through multi-criteria decision making (MCDM) from the years 2013 to 2022. In the recent past, researchers have carried out a significant amount of research in this field over the course of several years; Methods: a total of 121 scientific publications sourced from the Scopus database were chosen for analysis, employing the bibliometric method and graphical visualization of the VOS viewer application to visually analyze and map research networks and collaboration patterns, aiding in the evaluation of scientific impact and knowledge dissemination; Results: the findings of this study indicate that the research trend in sustainable supplier selection through MCDM witnessed its most significant growth in the year 2019. Researchers predominantly disseminated their scientific findings through articles, accounting for 81% of the publications, followed by conference papers at 14%, and book chapters at 2.5%; Conclusions: the primary area of focus in these studies pertains to decision-making processes involved in sustainable supplier selection. The implications and theoretical contributions derived from this research, coupled with the latest advancements, serve as a foundation for further exploration and development of sustainable supplier selection research through MCDM.

Research on innovation cooperation network of Chinese universities based on patent data

Innovation collaboration is of paramount importance in the socio-economic context. This study employs social network analysis methods to investigate patent data from Chinese universities between 2002 and 2021. We constructed a patent collaboration network and explored its dynamics. We analyzed and compared the evolution of university patent collaboration networks across different stages. The results indicate that collaboration among universities is not balanced, with a dominant presence of top-ranked universities. Businesses tend to engage in in-depth technical collaborations with universities in their respective fields. Companies place emphasis on leveraging the technological resources of universities for both technology and product innovation. The patent collaboration network has witnessed an increasing number of nodes and edges, tighter relationships, and greater diversification in collaboration patterns.

BIBLIOMETRIC ANALYSIS OF SHARIAH COMPLIANT CAPITAL ASSET PRICING MODELS

This study conducts a bibliometric analysis of the literature on shariah compliant asset pricing based on Scopus-indexed publications. The data on publications are collected employing a search string encompassing various keywords related to Islamic finance and asset pricing. Simple statistical techniques are applied, complemented by the utilization of VOS viewer software to analyze document trends by year, country, source, and patterns of collaboration among authors, co-citations, and keywords co-occurrence. The bibliometric analysis reveals a proliferation of publications across 127 journals, with the Pacific Basin Finance Journal being the most prominent. Collaboration among authors spans 56 countries, with Malaysia emerging as a key contributor. Notably, keywords like "Islamic finance" and "Shariah-compliant" have seen increased importance in recent years. The statistical results demonstrate a substantial surge in Scopus-indexed publications related to Shariah-compliant compliant Capital Asset Pricing Models, particularly in the past five years, reflecting the growing popularity and research opportunities within Islamic finance and asset pricing.

PP79 Publication Trends Of Network Meta-analyses In Europe And Asia: A Focus On Cardiovascular Disease

IntroductionThe objective of this research was to compare trends in publications of network meta-analyses (NMAs) in cardiovascular diseases (CVDs) in Asia-Pacific (APAC; China, Japan, Singapore, South Korea, Thailand) and Europe (United Kingdom [UK], Germany, France, Spain, Italy), with a focus on volume, collaborations and methods.MethodsFreely available NMAs assessing pharmacological or surgical interventions for CVD in terms of mortality or major adverse cardiovascular events, published in 2012 or later, by authors affiliated with institutions in the target countries were identified via MEDLINE and Embase. CVDs were grouped using the International Classification of Diseases, Tenth Edition (ICD-10).ResultsAcross the 193 publications identified, heart diseases such as atrial fibrillation, aortic stenosis and heart failure (ICD-10 I30-I52) were the most common indications reported (38%). The majority of publications involved authors in APAC countries (63%) and 40% from Europe. Cumulative numbers of publications from APAC surpassed those from Europe from 2018 onwards. Authors were largely affiliated with institutions in China (50%), the UK (20%) and Italy (20%). One hundred and forty-five publications were by authors affiliated with institutions in a single country; 91 percent of publications from APAC and 44 percent from Europe, indicating different patterns of collaboration within these regions. In terms of reporting methodologies, 39 percent of included publications did not specify whether a frequentist or Bayesian framework was used (43% in APAC, 34% in Europe). Among those that reported, the Bayesian framework was more commonly used.ConclusionsWhilst there is a growing trend in NMA publication counts generally, the rate of increase in APAC was higher than Europe, particularly in the years following adoption of health technology assessment (HTA) procedures in APAC. The volume of publications not reporting the framework used was substantial, despite requirements for this in reporting guidelines e.g., PRISMA. Where reported, the Bayesian framework may have been favored due to its advocacy by some health technology assessment bodies.

Hidden Costs in Higher Education: A Literature Scientific Analysis

Hidden costs are a relevant issue in the financial planning of institutions. In the context of higher education, this relevance serves to ensure stability, efficiency, and excellence in the development of institutional activities. The study’s objective was to analyze the patterns of publication, collaboration, and evolution of research on hidden costs in higher education. A bibliometric methodology was used, with the search for documents in the Scopus and Web of Science databases. This search resulted in a total of 152 documents published from 2015-2023. The evolution of the production, the most cited authors, the countries with the highest production, the co-occurrence of keywords, and an author network analysis were identified. The results show that the distribution of documents is 44.73% for Scopus and 55.27% for WoS. The scientific production increased from 5 publications in 2015 to 23 in 2023. The United Kingdom is the country with the largest amount of research and Europe stands out as the continent with the largest contribution in this area. The authors with the most publications are Armstrong, N., Kleijnen, J., and Worthy, G. The constant increase in scientific production linked to hidden costs in higher education is evident. Such growth translates into a significant increase in publications and citations, thus reflecting the relevance and interest in the subject.

The Role of Stakeholders in Achieving Sustainable Agriculture: A Case Study in Sragen Regency, Indonesia

Rice farming plays a crucial role in maintaining national resilience and stability. However, its sustainability is faced with complex and multidimensional challenges. One of the challenges agricultural sustainability faces is the reduction of farmland due to the construction of toll roads. The development of the Solo-Mantingan-Ngawi toll road has significantly impacted the reduction of agricultural land in Sragen Regency, the second-largest rice-producing area in Central Java after Grobogan. This issue will threaten national food security if left unaddressed without further intervention. The development of sustainable agriculture is expected to be a solution to promoting food resilience. However, stakeholder involvement is necessary for successful development. This research aims to identify the stakeholders involved in developing sustainable agriculture to promote food resilience in Sragen Regency. This study adopts a mixed-method approach with data collection through in-depth interviews. The analytical tool used in this research is MACTOR (Matrix of Alliance and Conflict: Tactic, Objectives, and Recommendation). The study identified the stakeholders influencing the development of sustainable agriculture in Sragen Regency as Farmer Groups, Farmers, Village Heads, Agriculture Extenders, and the Department of Agriculture and Food Security. These findings serve as a basis for developing collaborative patterns among all stakeholders required to develop sustainable agriculture to achieve food resilience in the Sragen Regency.

Growth and dimensions of monkeypox research: a scientometrics study

Purpose This study aims to analyse the trend of Mpox research in the pre and post-outbreak period. The study compared the growth pattern, major research areas, sources of publications, funding agencies, countries and institutions invested in Mpox research, and institutional and countrywide collaboration patterns in Mpox research in both periods. Design/methodology/approach This study is based on the data retrieved from the Web of Science database for two time frames: the pre-outbreak period (January 1989–April 2022) and the post-outbreak period (May 2022–December 2022). The study is limited to research articles and reviews articles from Web Science. The study used Microsoft Excel and VOSviewer visualization software to derive results. Findings The study found few publications on Mpox before the epidemic outbreak, and a steep increase is visible after it. Before and after the Mpox pandemic, the USA ranked first in the production of literature. The focus of research before the outbreak of the epidemic was on virology, which was replaced by infectious diseases during the post-epidemic period. More publications were found available in open-access journals during the post-outbreak time. Author collaboration with US authors from other countries is higher in the post-outbreak period. During the pre-outbreak time, the principal supporters of Mpox research were American funding agencies and institutes. The study reveals that the research in post-outbreak is more concentrated on diagnosis, prevention and treatment of Mpox. Practical implications This study offers a systematic literature review on Mpox’s overall research productivity. It contrasted the patterns of this field’s pre- and post-epidemic research. The conclusions of this study will act as a guide for scientists operating all across the world. Originality/value A thorough scientometric analysis of the trend of Mpox research in the pre- and post-outbreak period has not been attempted. It will help identify the nature of research on Mpox over the years, which will support future research on Mpox attempted across the globe.

Research Trends and Hotspots of Medical Electrical Impedance Tomography Algorithms: A Bibliometric Analysis From 1987 to 2021.

Electrical impedance tomography (EIT) is a gradually maturing medical imaging technique that relies on computational algorithms for reconstructing and visualizing internal conductivity distributions within the human body.To provide a comprehensive and objective understanding of the current state and trendsin theEIT algorithm research, we conducted bibliometric analysis on a 25-year EIT algorithm research dataset sourced from Web of Science Core Collections. We visualized publication characteristics, collaboration patterns, keywords, and co-cited references. The results indicate a steady increase in annual publications over recent decades. The United States, United Kingdom, China, and South Korea contributed60% of the articles collaboratively. Keyword analysis unveiled three distinct stages in the evolution of EIT algorithm research: the establishment of fundamental algorithm frameworks, optimization for improved imaging performance, and the development of algorithms for clinical applications. Additionally, there has been a shift in research focus from traditional theories to the incorporation of new methods, such as artificial intelligence. Co-cited references suggest that integrating EIT with other established imaging techniques may emerge as a new trend in EIT algorithm research. In summary, EIT algorithms have been a consistent research focus, with current efforts centered on optimizing algorithms to enhance imaging performance. The emerging research trend involves utilizing more diverse and intersecting algorithms.

Okul etkililiği araştırmalarına yönelik bibliyometrik bir analiz

School effectiveness research has received considerable attention for over half a century, resulting in abundant literature. However, there is a gap in the literature in terms of presenting this knowledge base through a bibliometric analysis. To fill this gap, the current study examines the articles on school effectiveness published in journals indexed in the Web of Science Core Collection (WoS) database between 1981 and 2021. The search was conducted using the terms "school* effectiv*", "effectiv* school*", "effectiv* of school*", "effectiv* in school*" and "or" between them. Only articles published in the English language were included in the analysis. The initial search yielded a total of 3089 articles, but when the studies that did not satisfy the study's inclusion criteria were excluded, a total of 1102 studies remained. The research findings include the general profile of the articles, the annual frequency distribution of the articles by year, the most productive researchers, journals, and countries by the number of articles, the most influential articles in terms of the number of citations, the most frequently occurring author keywords, and their co-occurrence pattern. The findings also reveal co-authorship and cross-country collaboration patterns. The findings are anticipated to provide substantial implications for researchers to develop a deeper and more detailed insight into school effectiveness as a research field by structuring the existing literature. Additionally, some suggestions were made based on the findings.

Failure characteristics of buried pipelines in subsidence areas under the influence of multi-adjustable factors during coal mining: A case study of Ordos, China

Coal mining-induced ground subsidence often causes buried oil-gas pipeline failure. Insight the evolution of pipeline failure length and inflection points under the influence of adjustable factors (the distance between the panel pipe, panel width, internal pressure, and burial depth) has become increasingly essential for pipeline maintenance and operation. At present, the pipeline's failure length, failure time series, and inflection point distribution in subsidence areas are vague, which is not perfect in terms of specificity and clarity. Thus, a novel method to distinguish local failure and inflection points of pipelines is proposed by combining its moment and volume strain. Taking Panel 22102 of Ordos in western China as an example, the pipeline failure length and time series characteristics, as well as the inflection point spacing (IPS) are analyzed under the influence of adjustable factors by numerical simulation. The results show that (ⅰ) By increasing the distance between the panel pipe, and reducing the panel width, burial depth, and internal pressure, we can effectively mitigate or prevent pipe failures. For Panel 22102, the distance between the panel pipe should be less than 120 m to prevent failure. When it is unavoidable for the panel to pass underneath the pipeline, the width of the panel needs to be reduced to less than 120 m. (ⅱ) The pipeline failure length decreases by 2.9% for every 10 m reduction in the panel-to-pipeline distance. For every 10 m reduction in panel width, the pipeline failure length decreases by 5.7%. For every 0.1 m decrease in the burial depth, the pipeline failure length decreases by 2.16%. For each 1 MPa increase in internal pressure, the pipeline failure length increased by 0.48%. (ⅲ) The IPS is proportional to the panel width, burial depth, and internal pressure while exhibiting an exponential relationship with the distance between the panel and pipe. (ⅳ) The failure first spreads from the pipeline's subsidence center towards both ends, followed by spreading from both ends and the center towards inflection points simultaneously. (ⅴ) A multi-level and multi-faceted resilient management and collaborative operating pattern is established for the gas-coal integrated mining field. The research results provide scenario guidance and decision support for managers to develop adjusting measures to maintain pipelines, and also promote the coordinated mining of gas and coal resources.

Platform collaboration patterns, network structure, and innovation performance: An NK simulation approach

Prior research lacks understanding about how collaborative arrangements and network structures influence innovation outcomes in platform-based ecosystems. This paper addresses this gap by using an NK simulation model to investigate the impacts of different collaboration patterns and network structures on innovation performance. The NK simulation approach overcomes the shortcomings of empirical methods and enables examining the dynamic impacts. The results reveal that the “special platform + generic complementor” pattern leads to the highest innovation output. The impact of component correlations on the innovation performance follows an inverted U-shape. The small world network structure promotes innovation versus regular or random networks. The results provide novel theoretical insights into strategically configuring platform partnerships and network connections to optimize innovation. The findings offer practical guidance for firms to choose beneficial collaboration pattern and design proper network structure.

A Bibliometric Analysis of the Development of Research on Social and Economic Inequality in Developing Countries

This bibliometric analysis explores the landscape of research on social and economic inequality in developing countries, employing a comprehensive approach that integrates co-authorship networks, keyword co-occurrence patterns, journal mapping, and geographical distribution maps. The study draws on a vast repository of scholarly publications, shedding light on key themes, influential authors, and global research trends. Co-authorship networks reveal collaborative patterns, emphasizing the importance of interdisciplinary approaches in understanding inequality. Keyword co-occurrence patterns identify central themes, highlighting the multifaceted dimensions of social and economic disparities. Journal mapping showcases pivotal platforms shaping the discourse, aiding researchers in navigating the academic landscape. Geographical distribution maps unveil regional concentrations and gaps, prompting nuanced explorations of inequality within specific contexts. The synthesis of these results provides a comprehensive understanding of the field, guiding future research endeavors and informing evidence-based policy interventions for inclusive development.

Structural gender imbalances in ballet collaboration networks

Ballet, a mainstream performing art predominantly associated with women, exhibits significant gender imbalances in leading positions. However, the collaboration’s structural composition vis-à-vis gender representation in the field remains unexplored. Our study investigates the gendered labor force composition and collaboration patterns in ballet creations. Our findings reveal gender disparities in ballet creations aligned with gendered collaboration patterns and women’s occupation of more peripheral network positions than men. Productivity disparities show women accessing 20–25% of ballet creations compared to men. Mathematically derived perception errors show the underestimation of women artists’ representation within ballet collaboration networks, potentially impacting women’s careers in the field. Our study highlights the structural imbalances that women face in ballet creations and emphasizes the need for a more inclusive and equal professional environment in the ballet industry. These insights contribute to a broader understanding of structural gender imbalances in artistic domains and can inform cultural organizations about potential affirmative actions toward a better representation of women leaders in ballet.

Computable bibliography: Using data analysis and data visualization to characterize a bibliography

The Scopus database, which includes many open-access items, conference papers, funding details, and patent linkages, has developed as a vital resource within the dynamic social and economic environment. Gaining popularity in several fields, systematic reviews synthesize the relevant research literature in order to guide deliberative judgments. However, researchers require assistance in keeping up with the ever-increasing multidisciplinary nature of work and the ever-changing nature of information. Researchers need efficient methods to navigate and leverage the wealth of available knowledge for their systematic review processes as the number of scholarly production grows tremendously. This study employs descriptive statistics to examine and graphically present the bibliography (the list of sources cited in the text). This study was conducted in Dr. Jodi Schneider's lab and aims to identify trends in scholarly publishing and evaluate the overall content of scholarly works. Publication dates, item types, author lists, titles, and keywords are examined in the analysis, which takes CSV(Comma Separated Values), BibTeX, or RIS formats as input. Emerging research fields and patterns of collaboration can be better understood with the help of the descriptive statistics generated. Word clouds also help readers evaluate the quality and topic focus of the papers by providing a visual assessment of the paper's composition.