Collaboration Patterns Research Articles

ORGANIZATIONAL BEHAVIOR AS A FRAMEWORK FOR BIBLIOMETRIC RESEARCH ON THE LINKS BETWEEN WORKLOAD, CULTURE, AND DISCIPLINE IN THE WORKPLACE AND EFFICIENCY

Workload, organizational culture, work discipline, and job performance are some of the topics that this bibliometric review hopes to go into. The study finds trends, patterns, and gaps in the existing literature by using bibliometric analytic approaches. It utilizes co-citation and keyword analysis to uncover patterns of research collaboration and creates a publishing map according to year, author, journal, institution, and country. Researchers, practitioners, and policymakers can benefit from the analysis by better understanding the most recent breakthroughs and trends in organizational behavior, specifically related to employee performance. Furthermore, it addresses voids in the existing literature and pinpoints topics that require additional research. The results can help improve organizational policy initiatives and direct future research in the fields of human resource management and organizational behaviour. Job interview phrases and corporate culture were the subjects of an online poll that ran from 2019 through 2024. Beyond highlighting three ways these approaches could be enhanced to increase data quality, the research tries to demonstrate the benefits of online testing beyond its convenience. These recommendations for enhancing the quality of data can be applied to online organizational surveys and experiments.

Trends and hot spots in research related to aqueous humor from 2014 to 2023: A bibliometric analysis

PurposeTo analyze publication trends and investigate research hotspots of aqueous humor (AH) studies. MethodsA bibliometric study was conducted based on the Web of Science Core Collection (WOSCC). VOSviewer v. 1.6.18 was utilized to create a knowledge map visualizing the number of annual publications, the distribution of countries, international collaborations, author productivity, source journals and keywords in the field. ResultsA grand total of 4020 peer-reviewed papers concerning AH were retrieved from 2014 to 2023. The United States of America secured the top position among the most published countries and Duke University emerged as the most active institution. Stamer, WD contributed the most papers in this area. Investigative Ophthalmology & Visual Science was the most prolific journal in AH research. Retrieved publications mainly concentrated on the correlation between AH as a biomarker carrier and different ocular disorders. Six clusters were formed based on the keywords: (1) the diagnosis of endophthalmitis and AH pharmacokinetics; (2) the association of AH with pathogenesis and prognosis of glaucoma; (3) diagnosis and treatment of AH associated with uveitis; (4) the relationship between AH and refractive diseases of the eye; (5) the association of AH with mechanism and biomarkers of ocular tumorigenesis; (6) the indicators of AH associated with fundus disease. ConclusionsThis study unveiled present patterns of global collaboration, emerging frontiers, fundamental knowledge, research hotspots and current trends in AH.

Islamic Banking and Finance: A Systematic Literature Review And Bibliometric Analysis

Purpose: Islamic Banking and Finance (IBF) is one of the key areas of the global financial system, providing an alternative to conventional banking based on the principles of Sharia. This systematic literature review and bibliometric analysis attempt to offer a broad overview of the latest developments and trends in the research of the IBF. Design/Methodology/Approach: By employing a PRISMA approach, this study conducted an extensive review of academic publications and identified the main themes, influential authors, and emerging trends. Findings: The results indicate a dynamic research environment with interdisciplinary approaches and a strengthening desire for sustainability and ethical finance. In addition, the bibliometric analysis focuses on the geographical distribution of research outputs, collaboration patterns and citation networks, which provides important information about the intellectual structure of IBF. Implications/Originality/Value: This research adds insight into the academic development of IBF, suggesting future research directions and policy-making regarding IBF development in the financial sector.

The Role of Local Communities in Ecotourism Development: A Bibliometric Analysis of Participation and Empowerment

This study utilizes VOSviewer, a tool for constructing and visualizing bibliometric networks, to analyze the landscape of research within ecotourism and community development. Through a series of visualizations, we identified thematic clusters that encapsulate key focus areas such as community development, conservation efforts, economic impacts, and the integration of local culture and wisdom into sustainable tourism strategies. Our analysis further reveals how research trends have evolved from foundational to more specialized topics, particularly noting a marked focus on marine ecotourism and capacity building in recent years. Additionally, author collaboration patterns were examined to identify both prominent partnerships and potential gaps in collaborative research. The visualizations also highlighted underexplored areas that present new research opportunities, particularly in assessing the economic implications of ecotourism and developing capacity-building strategies. This comprehensive examination not only maps the current state of the field but also points towards future directions for research and collaboration.

Bibliometric Analysis of Firm Adaptation Strategies in a Hypercompetitive Environment

This study utilizes bibliometric analysis to map the scholarly landscape of research in hypercompetitive environments and strategic management. Through VOSviewer visualizations, we identified thematic clusters, examined trends over time, analyzed under-researched opportunities, and explored patterns of author collaboration. Our findings reveal a significant shift from foundational theoretical research towards more practical, industry-specific strategies that address dynamic competitive challenges. We identified key thematic areas such as industry dynamics, leadership in hypercompetition, globalization impacts, and sector-specific adaptation strategies. Furthermore, less-explored areas such as opportunity recognition and competitive dynamics offer fruitful avenues for future research. The author collaboration network analysis highlighted both active clusters and potential areas for increased interdisciplinary collaboration, suggesting a maturing yet still siloed research community. This comprehensive overview not only synthesizes existing research but also highlights strategic gaps and opportunities for future scholarly work in the domain of strategic management within hypercompetitive contexts.

Barriers to Digital Transformation in SMEs: Insights from a Bibliometric Analysis

This paper presents a comprehensive bibliometric analysis of the current research landscape concerning digital transformation in Small and Medium-sized Enterprises (SMEs). Through a series of VOSviewer visualizations, we identify major thematic clusters, emerging research trends, unexplored opportunities, and patterns of author collaboration within the field. Our findings reveal a strong initial focus on crisis management in response to the COVID-19 pandemic, which gradually shifted towards long-term strategic issues such as business model innovation, digitalization strategies, and international market expansion. The analysis highlights under-researched areas including specific business processes and implications of digital transformation in the manufacturing sector, suggesting fruitful avenues for future research. Additionally, the study maps the collaboration networks among scholars, uncovering both strong interconnections and potential gaps that offer opportunities for new scholarly partnerships. This paper contributes to the strategic knowledge on digital transformation in SMEs by outlining the evolution of research themes over time and suggesting directions for future research collaborations to enhance the digital resilience and competitiveness of SMEs.

Gender dynamics and academic rank in emergency medicine collaboration networks: A social network and gender propensity analysis

BackgroundAcademic productivity is bolstered by collaboration, which is in turn related to connectivity between individuals. Gender disparities have been identified in academics in terms of both academic promotion and output. Using gender propensity and network analysis, we aimed to describe patterns of collaboration on publications in emergency medicine (EM), focusing on two Midwest academic departments. MethodsWe identified faculty at two EM departments, their academic rank, and their publications from 2020 to 2022 and gathered information on their co-authors. Using network analysis, gender propensity and standard statistical analyses we assessed the collaboration network for differences between men and women. ResultsSocial network analysis of collaboration in academic emergency medicine showed no difference in the ways that men and women publish together. However, individuals with higher academic rank, regardless of gender, had more importance to the network. Men had a propensity to collaborate with men, and women with women. The rates of gender propensity for men and women fell between the gender ratios of emergency medicine (65%/35%) and the general population (50%/50%), 59.6% and 44%, respectively, suggesting a tendency toward homophily among men. ConclusionOur study aims to use network analysis and gender propensity to identify patterns of collaboration. We found that further work in the area of network analysis application to academic productivity may be of value, with a particular focus on the role of academic rank. Our methodology may aid department leaders by using the information from local analyses to identify opportunities to support faculty members to broaden and diversify their networks.

Examining the Expansion and Collaborative Patterns of Artificial Intelligence in Education: A Bibliometric Study

Examining the Expansion and Collaborative Patterns of Artificial Intelligence in Education: A Bibliometric Study

Predicting cross-domain collaboration using multi-task learning

Collaboration across different domains has become a promising fashion in the academic field. However, it faces significant challenges that prevent researchers from forming new collaborative relationships across domains. Current methods only focus on the homogeneity between researchers, neglecting the diverse motivations and complex interactions that underlie cross-domain collaboration. As a result, they lost many opportunities to identify potential collaborators. In this work, we propose a novel Cross-Domain Collaboration Prediction (CDCP) model that captures the diverse motivations of researchers using semantic encoding based on metapaths and models the complex interactions between research topics using bibliometric methods. In the CDCP model, we propose to jointly optimize two tasks, i.e., collaboration prediction and collaborative pattern prediction, by adopting a multi-gate network that flexibly leverages both structural and semantic features. Our model can effectively learn from both tasks and enhance its predictive performance and generalization ability. Extensive experimental studies on large publication datasets from various domains show that our method outperforms state-of-the-art methods on multiple indicators and can effectively predict diversified collaborations for researchers.

Mapping Sustainable Marketing Using Bibliometric Analysis

Research on sustainable marketing is mapped using bibliometric analysis, which offers a thorough picture of the field's current condition and future directions. By means of bibliometric analysis using VosViewer and the collection of 1.385 articles, the study indicates a noteworthy increase in publications and citations concerning the subject matter during the last ten years. Several important clusters actively studying Sustainable Marketing, including sustainable consumer behavior, sustainability orientation, consumption patterns, market segmentation, and stakeholder roles, were found through analysis of author collaboration patterns. "Sustainable marketing research" is the core research area, and the bibliometric network visualization displays the essential terms and relationships between concepts. Though less thoroughly, subjects including customer capital, sustainable management, sustainable business, and digital marketing were also covered. This article's bibliometric analysis reveals some intriguing mapping findings. Collaboration in research articles is revealed by the author's analysis. The report also presents the findings from studies on sustainable consumer behavior. The study method on consumer sustainability challenges, including customer capital, spending, and behavior, is outlined by the bibliometric analysis. Bibliometric analysis, thus, offers a mapping of sustainability research, particularly in terms of offering significant insights on specific sustainability challenges like consumer difficulties.

The AI community building the future? A quantitative analysis of development activity on Hugging Face Hub

Open model developers have emerged as key actors in the political economy of artificial intelligence (AI), but we still have a limited understanding of collaborative practices in the open AI ecosystem. This paper responds to this gap with a three-part quantitative analysis of development activity on the Hugging Face (HF) Hub, a popular platform for building, sharing, and demonstrating models. First, various types of activity across 348,181 model, 65,761 dataset, and 156,642 space repositories exhibit right-skewed distributions. Activity is extremely imbalanced between repositories; for example, over 70% of models have 0 downloads, while 1% account for 99% of downloads. Furthermore, licenses matter: there are statistically significant differences in collaboration patterns in model repositories with permissive, restrictive, and no licenses. Second, we analyse a snapshot of the social network structure of collaboration in model repositories, finding that the community has a core-periphery structure, with a core of prolific developers and a majority of isolate developers (89%). Upon removing these isolates from the network, collaboration is characterised by high reciprocity regardless of developers’ network positions. Third, we examine model adoption through the lens of model usage in spaces, finding that a minority of models, developed by a handful of companies, are widely used on the HF Hub. Overall, the findings show that various types of activity across the HF Hub are characterised by Pareto distributions, congruent with open source software development patterns on platforms like GitHub. We conclude with recommendations for researchers, and practitioners to advance our understanding of open AI development.

Targeted microbial collaboration to enhance key flavor metabolites by inoculating Clostridium tyrobutyricum and Saccharomyces cerevisiae in the strong-flavor Baijiu simulated fermentation system

Ethyl hexanoate and ethyl butyrate are indispensable flavor metabolites in strong-flavor Baijiu (SFB), but batch production instability in fermenting grains can reduce the quality of distilled Baijiu. Biofortification of the fermentation process by designing a targeted microbial collaboration pattern is an effective method to stabilize the quality of Baijiu. In this study, we explored the metabolism under co-culture liquid fermentation with Clostridium tyrobutyricum DB041 and Saccharomyces cerevisiae YS219 and investigated the effects of inoculation with two functional microorganisms on physicochemical factors, flavor metabolites, and microbial communities in solid-state simulated fermentation of SFB for the first time. The headspace solid-phase microextraction-gas chromatography-mass spectrometry results showed that ethyl butyrate and ethyl hexanoate significantly increased in fermented grain. High-throughput sequencing analysis showed that Pediococcus, Lactobacillus, Weissella, Clostridium_sensu_stricto_12, and Saccharomyces emerged as the dominant microorganisms at the end of fermentation. Co-occurrence analysis showed that ethyl hexanoate and ethyl butyrate were significantly correlated (|r| > 0.5, P < 0.05) with a cluster of interactions dominated by lactic acid bacteria (Pediococcus, Lactobacillus, Weissella, and Lactococcus), which was driven by the functional C. tyrobutyricum and S. cerevisiae. Mantel test showed that moisture and reducing sugars were the main physicochemical factor affecting microbial collaboration (|r| > 0.7, P < 0.05). Taken together, the collaborative microbial pattern of inoculation with C. tyrobutyricum and S. cerevisiae showed positive results in enhancing typical flavor metabolites and the synergistic effects of microorganisms in SFB.

Understanding the Impact of Collaborative Governance on Sustainability: Evidence from Buying Green in Local Governments in Florida, USA

ABSTRACT This paper analyzes collaboration patterns in procurement and outcomes as well as the impact of collaboration on green public procurement (GPP) implementation. It draws data from case studies in local governments in Florida and examines the literature on collaborative governance and resource exchange theory. The findings highlight collaboration patterns and note that collaboration may lead to economies of scale, more agile procurement, and enhanced capacity. The study also notes that GPP generally emerges as an unintended by-product of collaboration, rather than a deliberate outcome. It further offers evidence of the conditions under which collaboration can be leveraged to improve GPP.

Using Bibliometric Data to Define and Understand Publishing Network Equity in Anesthesiology.

Anesthesiology departments and professional organizations increasingly recognize the need to embrace diverse membership to effectively care for patients, to educate our trainees, and to contribute to innovative research. 1 Bibliometric analysis uses citation data to determine the patterns of interrelatedness within a scientific community. Social network analysis examines these patterns to elucidate the network's functional properties. Using these methodologies, an analysis of contemporary scholarly work was undertaken to outline network structure and function, with particular focus on the equity of node and graph-level connectivity patterns. Using the Web of Science, this study examines bibliographic data from 6 anesthesiology-specific journals between January 1, 2017, and August 26, 2022. The final data represent 4453 articles, 19,916 independent authors, and 4436 institutions. Analysis of coauthorship was performed using R libraries software. Collaboration patterns were assessed at the node and graph level to analyze patterns of coauthorship. Influential authors and institutions were identified using centrality metrics; author influence was also cataloged by the number of publications and highly cited papers. Independent assessors reviewed influential author photographs to classify race and gender. The Gini coefficient was applied to examine dispersion of influence across nodes. Pearson correlations were used to investigate the relationship between centrality metrics, number of publications, and National Institutes of Health (NIH) funding. The modularity of the author network is significantly higher than would be predicted by chance (0.886 vs random network mean 0.340, P < .01), signifying strong community formation. The Gini coefficient indicates inequity across both author and institution centrality metrics, representing moderate to high disparity in node influence. Identifying the top 30 authors by centrality metrics, number of published and highly cited papers, 79.0% were categorized as male; 68.1% of authors were classified as White (non-Latino) and 24.6% Asian. The highly modular network structure indicates dense author communities. Extracommunity cooperation is limited, previously demonstrated to negatively impact novel scientific work. 2 , 3 Inequitable node influence is seen at both author and institution level, notably an imbalance of information transfer and disparity in connectivity patterns. There is an association between network influence, article publication (authors), and NIH funding (institutions). Female and minority authors are inequitably represented among the most influential authors. This baseline bibliometric analysis provides an opportunity to direct future network connections to more inclusively share information and integrate diverse perspectives, properties associated with increased academic productivity. 3 , 4.

Augmented reality in biology education: A systematic literature review

Augmented Reality (AR) has seen extensive utilization in the modern era, driven by rapid technological advancements. The aim of the Systematic Literature Review (SLR) method is to meticulously analyze and assess previous research on a specific phenomenon in a systematic and explicit manner. The search was conducted on the Scopus database using the keyword "Augmented Reality," resulting in 209 relevant articles. Out of this total, 35 articles passed the journal selection criteria and were deemed ready for analysis. The article selection process was carried out using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) model for inclusion and exclusion purposes. Since 2019, there has been a rising trend in research on augmented reality. The issue of AR can be approached through quantitative, qualitative, mixed-methods, and even development research (R&amp;D). The most prominent author in AR research is NF Saidin. The data shows that the keyword "augmented reality" is strongly associated with "education" and "biology." These keywords are linked to concepts such as teacher training, augmented reality tools, teaching, biology learning, learning performance, e-learning, and virtual reality. Themes related to AR in education focus on teacher training in biology, which applies e-learning or mobile learning based on AR and virtual reality (VR). Articles were published by authors from 28 different countries, with authors predominantly from Asia. There are 15 institutions worldwide that fund AR research and publications. It can be concluded that the focus on AR in biology education will continue to grow, supported by the ongoing emphasis on technology in the modern era. This trend is reflected in the distribution year, research types/methods, instruments, areas of study, authors, keywords, authors’ nationalities, and collaboration patterns.

Using multimodal learning analytics as a formative assessment tool: Exploring collaborative dynamics in mathematics teacher education

AbstractBackgroundTraditionally, understanding students' learning dynamics, collaboration, emotions, and their impact on performance has posed challenges in formative assessment. The complexity of monitoring and assessing these factors have often limited the depth and breadth of insights.ObjectivesThis study aims to explore the potential of multimodal learning analytics as a formative assessment tool in math education. The focus is on discerning how collaborative discourse behaviours and emotional indicators interplay with lesson evaluation performance.MethodsUsing undergraduate students' multimodal data, which includes collaboration data, facial behaviour data, and emotional data, the study explored the patterns of collaboration and emotion. Through the lens of multimodal learning analytics, we conducted exploratory data analysis to identify meaningful relationships between specific types of collaborative discourse, facial expressions, and performance indicators. Moreover, the study evaluated a machine learning model's potential to predict target learning outcomes by integrating data from multiple channels.ResultsThe analysis revealed key features from both discourse and emotion data as significant predictors. These findings underscore the potential of a multimodal analytical approach in understanding students' learning process and predicting outcomes.ConclusionsThe study emphasizes the importance and feasibility of a multimodal learning analytic approach in the context of math education. It highlights the academic and practical implications of such an approach, along with its limitations, pointing towards future research directions in this area.

Comprehensive evaluation of digital technology's effects on the supply chain of prefabricated construction

PurposeDigital technology, which is regarded as a prominent and transformational force in modern society, encompasses a wide variety of technology that utilize digital data to process, store and transfer various types of information. Digital technologies have continually been introduced as cutting-edge information tools in order to achieve effective management of vast information that arises from the prefabrication supply chain. However, without a sufficient performance evaluation, drawbacks of technology investment, such as financial losses and ineffective resource allocation, keep occurring, which hinders the widespread implementation of digital technologies. This study demonstrates a comprehensive evaluation of digital technologies’ effects on the prefabrication supply chain based on multi-criteria decision analysis (MCDA) theory.Design/methodology/approachSpecifically, the targeted digital technologies and project constraints were first identified through a systematic literature review. The effects of the digital technologies were then scored using a questionnaire survey. The TOPSIS model was established to quantitatively rank the effectiveness of selected digital technologies.FindingsOverall, BIM technology shone out in the rankings and is regarded as the most beneficial digital solution by multi-stakeholders to the existing constraints, such as working efficiency. Collaboration patterns between different stakeholders and technology integration trend were also indicated.Originality/valueCompared with existing outcomes, this study specifically focused on examining the effects of digital technologies on the prefabrication supply chain, the most significant link in the process for prefabricated structures. New findings indicate the overall performance that considered both multi-stakeholders’ preferences and project constraints. The quantitative evaluation presents a comprehensive understanding of digital technologies’ effects, enabling industrial participants to reach well-informed, strategic and profitable investment decisions.

Addressing Whiteness in communication scholar composition and collaboration across seven decades of ICA journals (1951–2022)

Abstract The persisting legacies of colonialism have called for scholars to be more active in their efforts to dismantle and decenter the normative foundations of Whiteness in scholarly practices. This article examines the intersectional structures of authorship and collaboration patterns among scholarly teams within five flagship Communication journals. We used a bibliometric analysis to examine the race, gender, institution, and institution type of 11,292 authors from five International Communication Association journals between 1951 and 2022. We found that the dominating representation of white, male, and U.S.-based scholars is decreasing, but stark disparities within the composition of and collaborations among Communication scholars still remain. We offer insights into how these patterns reproduce structural inequities and propose future directions for scholars to support and participate in the ongoing work to dismantle and decenter Whiteness in academia. All data, code, and analyses are available at https://osf.io/8bszj/.

Mapping the landscape of spatial literacy research: Bibliometric analysis

The study aims to provide a comprehensive overview of spatial literacy research through a bibliometric analysis, focusing on its development, essential themes, key contributors, and collaboration patterns. Using statistical text-mining and citation link-based clustering techniques, 690 spatial literacy publications from the Scopus database were analyzed, with data extracted on February 18, 2024. The analysis revealed a steady increase in spatial literacy publications, peaking in 2009, and identified key peaks in cited papers in 1996, 2003 and 2012, with a subsequent decline post-2012. Document profiles primarily consisted of articles (60.14%) and sourced from journals (67.97%), with The Journal of Geography being the most active title. Notably, Newcombe, N.S., emerged as the most productive author, while the work of Bednarz and Kemp received the highest number of citations. ‘The Separability of Working Memory Resources for Spatial Thinking and Language Processing: An Individual Differences Approach’ by Shah and Miyake was identified as the most influential document, garnered a minimum of 100 citations per written document. Additionally, the United States stood out with both the largest number of publications and the highest citation impact in spatial literacy research. This bibliometric analysis provides valuable insight into the spatial literacy research landscape, guiding for future research directions and fostering collaborations in this field.

Evolution of Educational Leadership: A Bibliometric Analysis of International Publications

Abstract Research on educational leadership has received significant scholarly attention for over half a century, resulting in a vast body of literature on the subject. Numerous studies and inquiries have highlighted that educational leadership is an exceedingly complex and vital phenomenon. However, a gap persists in scholarly discourse concerning the presentation of this knowledge base through bibliometric analysis. This study seeks to provide an overview of the evolution of this concept by identifying articles published in journals indexed in the Web of Science Core Collection (WoS) database between 1993 and 2024. The search employed terms such as "educational leadership", „educational management” "leadership in education," "school leadership”, „teacher leadership”, „style leadership in education” and „school improvement”yielding an initial total of 3089 articles. Subsequently, following the application of inclusion and exclusion criteria, 1583 studies were retained for analysis. The research encompasses the general profile of articles, the annual distribution of article frequency, the most prolific researchers, journals, and countries by article count, the most influential articles based on citation count, the most frequently recurring author keywords, and the year of publication of these articles. The contribution of this study lies primarily in highlighting the systematic methodologies employed in research analyses in educational leadership and management. Additionally, collaborative patterns among authors, universities, and countries are presented and analyzed. The conclusions provide valuable insights for researchers into the detailed evolution of educational leadership through the structuring of existing literature in the field. Furthermore, based on these findings, some suggestions have been made for identifying new research themes in this field, both conceptually and empirically.