Emerging Research Trends Research Articles

Global status, recent trends, and knowledge mapping of olive oil research and cardiovascular disease: 50 years of investigations through bibliometric analysis.

In the Mediterranean diet, olive oil serves as the predominant fat source and has been linked to a decreased risk of mortality related to cardiovascular diseases (CVD). Still, there is no conclusive evidence correlating olive oil consumption to CVD. The aim of this study is to assess the global research, current research trends, and knowledge mapping related to the correlation between the consumption of olive oil and CVD using bibliometric analysis. On August 19, 2023, a title-specific literature search was conducted on the Scopus database using the search terms "olive oil" and "cardiovascular disease" with a date range of the past 50 years. Subsequently, bibliometric tools such as VOSviewer and Bibliometrix were employed to analyze and evaluate the obtained documents. The search yielded (n = 429) publications and showed an upward trend in the annual publication count over the last five decades. The publication number exhibited a gradual increase with a rate of 5.55%. The results also indicated that 2530 authors, 759 institutions, 47 countries, and 223 journals have publications in this research domain. The present bibliometric study will be a valuable research reference for describing the worldwide research patterns concerning the relationship between olive oil and CVD during the past 50 years. In the future, the application of olive oil for the treatment of CVDs may be an emerging research trend. Apart from this, collaborations among authors, countries, and organizations are expected.

Mapping the Evolution of Cybernetics: A Bibliometric Perspective

In this study, we undertake a comprehensive bibliometric analysis of the cybernetics research field. We compile a dataset of 4856 papers from the ISI Web of Science database spanning 1975–2022, employing keywords related to cybernetics. Our findings reveal an annual growth rate of 7.56% in cybernetics research over this period, indicating sustained scholarly interest. By examining the annual progression of scientific production, we have identified three distinct periods characterized by significant disruptions in yearly publication trends. These disruptions have been thoroughly investigated within the paper, utilizing a longitudinal analysis of thematic evolution. We also identify emerging research trends through keyword analysis. Furthermore, we investigate collaborative networks among authors, their institutional affiliations, and global representation to elucidate the dissemination of cybernetics research. Employing n-gram analysis, we uncover diverse applications of cybernetics in fields such as computer science, information science, social sciences, sustainable development, supply chain, knowledge management, system dynamics, and medicine. The study contributes to enhancing the understanding of the evolving cybernetics landscape. Moreover, the conducted analysis underscores the versatile applicability across various academic and practical domains associated with the cybernetics field.

A Scientometric Analysis of Payments for Ecosystem Services Research: Mapping Global Trends and Directions

Payment for ecosystem services (PES) is an innovative economic intervention to mitigate the decline of ecosystem services and biodiversity; it plays a key role in harmonizing protection and development. Based on numerous PES practices worldwide, PES has emerged as a research hotspot in the field of sustainability. This paper presents a comprehensive scientometric analysis of PES academic publications between 1987 and 2022. The study aims to characterize the intellectual landscape of PES by identifying and visualizing the evolution of the collaboration network, the co-citation network, and emerging research trends. The findings reveal a rapid increase in publications of this field, indicating its growing importance as an interdisciplinary research subject. In particular, PES has gained significant attention from numerous researchers since 2007. Environmental sciences and ecology (50.77%) have been the core subjects, followed by business economics (11.04%) and biodiversity conservation (9.58%). Engineering (3.52%) and water resources (3.40%) have emerged as new fields in recent years. Notably, productive authors and institutions in this domain are primarily located in the United States, China, and the United Kingdom. However, fewer stable collaborations were found between China and European countries. Regarding the keywords, the most popular keywords of this topic were “ecosystem service” (1423), “conservation” (1324), and “biodiversity” (1029). By synthesizing the literature, this paper identifies pressing topics related to the effectiveness of PES, including the evaluation of effectiveness, efficiency assessment, and equity. Through an in-depth analysis, this paper elucidates global trends and directions in PES research. It is important to create a fair and efficient market that boosts the motivation and initiative of society to engage in PES initiatives, to increase investment in comprehensive PES projects, which helps improve the efficiency of fund utilization, especially concerning climate change mitigation. It is proposed to integrate natural sciences and social sciences to comprehensively assess the effectiveness of climate-friendly PES, which contributes to the sustainable development of PES research and application.

Unveiling the Clinical Diversity in Nontuberculous Mycobacteria (NTM) Infections: A Comprehensive Review.

Once considered rare, nontuberculous mycobacterial (NTM) infections have garnered increasing attention in recent years. This comprehensive review provides insights into the epidemiology, clinical diversity, diagnostic methods, treatment strategies, prevention, and emerging research trends in NTM infections. Key findings reveal the global prevalence of NTM infections, their diverse clinical presentations affecting respiratory and extra-pulmonary systems, and the diagnostic challenges addressed by advances in microbiological, radiological, and immunological methods. Treatment complexities, especially drug resistance and patient adherence, are discussed, along with the vulnerability of special populations. The importance of early detection and management is underscored. Prospects in NTM research, including genomics, diagnostics, drug development, and multidisciplinary approaches, promise to enhance our understanding and treatment of these infections. This review encapsulates the multifaceted nature of NTM infections, offering a valuable resource for clinicians, researchers, and public health professionals.

Emerging research trends in the field of polyurethane and its nanocomposites: Chemistry, Synthesis, Characterization, Application in coatings and Future perspectives

Emerging research trends in the field of polyurethane and its nanocomposites: Chemistry, Synthesis, Characterization, Application in coatings and Future perspectives

Forecasting disruptions in global food value chains to tackle food insecurity: The role of AI and big data analytics – A bibliometric and scientometric analysis

Globalization and interconnected supply chains have led to complex disruptions in global value chains, caused by various factors such as natural disasters, climate events, geopolitical conflicts, and economic crises. Recent breakthroughs in AI, machine learning, blockchain, and big data analytics offer new possibilities for forecasting and managing these disruptions effectively. This study examines the role of AI in forecasting and managing disruptions within global value chain to tackle food insecurity. We conducted a bibliometric and scientometric analysis using comprehensive data from Scopus and Web of Science to explore emerging research trends, influential publications, leading institutions, collaborations, themes, policy implications, and future research avenues. The research revealed an average yearly growth rate of 13.78 % in publications from 1973 to 2022. China, the United Kingdom, and the United States lead in AI applications to address supply chain disruptions, particularly concerning food insecurity. Frequently used keywords include "food security," "supply chain management," "agriculture," "modelling," "climate change," and "COVID-19." Themes identified focus on the impact of COVID-19 on food supply chains, achieving food security amidst climate change, leveraging predictive models in agriculture, and assessing the impact of disruptions on food price volatility and global supply chain risk assessment approaches. The insights gained from this research offer valuable guidance for policymakers and researchers to enhance food security. The identified themes provide direction for future research efforts in advancing food security amidst uncertainties and disruptions in global value chains.

Exploring Accounting Research Topic Evolution: An Unsupervised Machine Learning Approach

ABSTRACT This study explores the evolution of accounting research by utilizing an unsupervised machine learning approach. We aim to identify the latent topics of accounting from the 1980s up to 2018, the dynamics and emerging topics of accounting research, and the economic reasons behind those changes. First, based on 23,220 articles from 46 accounting journals, we identify 55 topics using the latent Dirichlet allocation model. To illustrate the connection between topics, we use HistCite to generate a citation map along a timeline. The citation clusters demonstrate the “tribalism” phenomenon in accounting research. We then implement the dynamic topic model to reveal the dynamics of topics to show changes in accounting research. The emerging research trends are identified from the topic analytics. We further explore the economic reasons and in-depth insights into the topic evolution, indicating the economic development embeddedness nature of accounting research. JEL Classifications: B26; M40.

Worldwide Trend Analysis of Psycholinguistic Research on Code Switching Using Bibliometrix R-tool

The study of bilingualism and multilingualism has gained increasing prominence in the context of globalization. As a result, research on code switching has garnered growing attention, leading to a substantial number of published papers in recent decades. To gain insights into the current status and potential trends of psycholinguistic research on code switching, this study conducted a bibliometric analysis of 1,293 articles focusing on code switching from 1968 to 2022. The analysis was performed using bibliometrix, a bibliometric software package in R. The results of the analysis indicated that code switching between English and other languages, the role of inhibition ability, and the processing mechanisms of highly proficient bilinguals were prominent hot topics in the field of code-switching research. Additionally, the processing of grammatical gender, bilingual language production, and plurilingualism were identified as potential emerging research trends. By presenting a macroscopic landscape of research on code switching, this study aims to provide readers with a comprehensive overview and serve as a beneficial reference for researchers in this field.

A Five-Year Bibliometric Analysis of Education 4.0 and Direction for Education 5.0 Future Research

Education 4.0 is a conceptual education framework for current generations. The evolution of education has continued to evolve, which in turn creates a research niche for innovation development in higher education institutions. This study aimed to analyse articles on Education 4.0 research from 2018 to 2022 using the Scopus database as well as identifying current trends in the field of education. This research examined trends in publication and citation performance, journal-related performances, most frequently cited articles, top affiliated countries, and emerging research trends. A bibliometric study was employed in achieving the objectives of the study, guided by five research questions. The study began by extracting metadata and analysing keyword co-occurrence using VOSviewer software and Microsoft Excel. Results showed that Malaysia, Mexico, and Indonesia are three of the top countries to which authors who publish about Education 4.0 research are affiliated. It was also found that there were five emerging research trends related to Education 4.0, namely (a) Education 4.0 on various educational mechanisms, features, and applications; (b) the effect of COVID-19 on the engineering education learning system and the role of Education 4.0; (c) Education 4.0 by means of modern information technologies; (d) developing a framework for innovation in Education 4.0, and (e) technology and digital transformation in Education 4.0. Two suggestions are also made for the direction of future study. Lastly, the implication of this bibliometric study on Education 4.0 informs and shapes the direction of the upcoming Education 5.0 research.

Written Corrective Feedback Scientometric Review (1987–2022)

Written corrective feedback is widely used in language learning and teaching, and related studies have attracted significant attention in recent years. Through analysis and visualization of 497 articles indexed in the Web of Science core collection over the past 35 years using CiteSpace, this scientometric review aims to explore the developmental stages, involved disciplines, geospatial fingerprint, main research streams, and emerging research trends of written corrective feedback. The following stages were identified based on the timeline of publications and citations: the sprouting phase (1987–2005), the fluctuating phase (2006–2016), and the explosive phase (2017–2022). The interdisciplinary trend toward written corrective feedback becomes increasingly prominent throughout each stage, and its primary disciplines range from linguistics and cognitive science to psychology and computer science. The primary research contexts for written corrective feedback research are ESL and EFL; countries with multiple coexisting language variants have prioritized research in this field. Existing studies have witnessed a shift from quantitative to qualitative research, and case studies focusing on individual differences are emerging as a newer research frontier. As one of the first few scientometric reviews of written corrective feedback since the phrase first appeared as a combined index term, this study is significant as a reference for comprehensively understanding the intellectual background, dynamics, and evolution of this research field.

A systematic bibliometric analysis on the clinical practice of CGM in diabetes mellitus from 2012 to 2022.

Continuous glucose monitoring (CGM) has revolutionized diabetes management, but a comprehensive analysis of its clinical implementation is lacking. This study aims to explore CGM in diabetes practice over the past decade using bibliometric analysis. It will identify trends, research focal points, and provide a framework for future investigations. The Web of Science Core Collection (WOSCC) was utilized to acquire literature pertaining to the employment of continuous glucose monitoring (CGM) in diabetes that was published between the years 2012 and 2022, and to conduct a comprehensive analysis of the associated citation data. To achieve bibliometric visualization and analysis of the collated data, the bibliography package in the Rstudio(v.4.2.2), Citespace 6.2.R4, and VOS viewer were employed. A total of 3024 eligible publications were extracted from 91 countries, with the United States being the leading country in terms of the number of issued articles. Furthermore, the annual publication rate has shown a gradual increase during the past decade. Among the various journals in this field, DIABETES TECHNOLOGY & THERAPEUTICS was identified as the most highly cited one. Keyword clustering analysis of the extracted publications indicates that the research hotspots in the past decade have primarily focused on "continuous glucose monitoring", "glycemic variability", "type 1 diabetes", "hypoglycemia", and "glycemic control". Moreover, the analysis of keyword emergence reveals that "Time In Range" and "Young Adult" represent the current research frontiers for the years 2012-2022. The concept of Time in Range (TIR) has garnered considerable attention as a significant area of inquiry and an emerging research trend in the clinical practice of Continuous Glucose Monitoring (CGM) for Diabetes Mellitus. Moreover, recent investigations have demonstrated a growing focus on young adults with type 1 diabetes as the research population of interest. In the foreseeable future, research endeavors will persist in the pursuit of improving glycemic management among young adults through the utilization of continuous glucose monitoring (CGM) technology, while also delving into the examination of the Time in Range metric via supplementary clinical investigations.

Does Attitude or Intention Affect Behavior in Sustainable Tourism? A Review and Research Agenda

This study presents a critical literature review on the tourist attitude–behavior gap and intention–behavior gap in sustainable tourism research and proposes future research directions. A systematic review was conducted using preferred reporting items for systematic review and meta-analysis (PRISMA) on the existing literature from the Scopus and Web of Science databases. Key research topics in attitude–behavior gaps are the role of environmental knowledge, protected area management, the role of service quality, risk perception, moral licensing, sustainability communication, business owners in tourism, environmental concern, tourist psychology, and intervention. Key research topics in the intention–behavior gaps of sustainable tourism are green certification or label, value, rationality and social desirability, motivation, trust, inconvenience, and quality. Four emerging research trends were discovered in recent years: (1) increased use of mixed methods and surveys; (2) consideration of green or environmental knowledge; (3) role of green certification; and (4) consideration of tourist moral values. Recommended future research directions include theoretical development studies in the hospitality sector, cross-cultural comparisons, investigation, of under-researched tourism sectors, and new research methodologies. This review provides an overview of research on the attitude–behavior gap and the intention–behavior gap in sustainable tourism. Our study proposes a new framework for the attitude–behavior gap and the intention–behavior gap, departing from the theory of planned behavior. We identify direct and indirect factors that influence sustainable tourist behavior, with sustainable tourist attitude and intention serving as mediators. Overall, our findings offer valuable insights into the complex relationship between attitudes, intentions, and behaviors in sustainable tourism.

The complexity and interconnectedness of circular cities and the circular economy for sustainability

AbstractIn our study, we are evaluating the dynamic interplay between circular cities and the circular economy, revealing connections shaped by new research insights, using Web of Science database. We have in depth analysed 671 publications from 1990 to mid‐2023, employing Leximancer and VOSviewer tools. Our analysis uncovered key themes, including buildings, waste management, value chains, and sustainable development, linking the circular cities concept and circular economy framework. Emerging research trends, such as urban metabolism, urban mining, governance models, the built environment, sustainability benchmarks, and value chain management, signify deliberate shifts towards higher circular development and implementation. These trajectories harmonise with overarching sustainable development goals. Contemporary research emphasises urban mining, circular indicators, adaptive resource reuse, and urban structure regeneration. This focus facilitates transitioning from linear models to heightened circularity within urban contexts. Research inclination is shifting from traditional economic and environmental concerns towards holistic urban configurations that prioritise social integration, communal well‐being, and the dynamics of the social economy. Through this analytical expedition, we offer novel insights that enhance our understanding of the intricate symbiosis between circular cities and the circular economy. Our findings provide a scientific foundation for formulating targeted strategies by decision‐makers and guiding urban landscapes towards transformative trajectories aligned with sustainable development objectives and sustainable cities.

Scoping the links between acquisitive crime, criminal predation and family business

PurposeThe stereotypes of the dodgy businessman and businessman gangster are established typologies in both the criminology and family business literature, but nevertheless, there is still an evident dearth of substantive studies on the topic. Family business scholars have begun to acknowledge the limited nature of such explorations of criminality in family firm businesses. The purpose of this article is therefore to review, synthesise and solidify existing research on this under-researched area of family business management.Design/methodology/approachThis perspective article explores and synthesises the links between acquisitive crime, criminal predation and family business to address an identifiable research gap in the literature of criminology, entrepreneurship and family business. It examines the overlap between criminal activities and business practices, shedding light on how individuals in the family business community may become involved in criminal activities due to various factors, including coercion, addiction and financial gain.FindingsThis perspective highlights emerging research trends that have the potential to increase the knowledge about the “dark side” of family business.Research limitations/implicationsBeing a perspective paper this brief exploration of the literature can only cover a small cross section of the literature. A conceptual model emerges, which illustrates shared aspects of crimino-entrepreneurial identity between authentic entrepreneurs and criminals.Originality/valueThis perspective article scopes the extant literature covering the links between acquisitive crime, criminal predation and family business to help guide the direction of future research. The piece presents new perspectives on the intersection of acquisitive crime and family business, and its novelty lies in its synthesis of the disparate elements from the diverse literature to contribute to the said literature.

A bibliometric analysis of immersive technology in museum exhibitions: exploring user experience

Introduction:This study aims to comprehensively understand the existing literature on immersive technology in museum exhibitions, focusing on virtual reality (VR), augmented reality (AR), and the visitor experience. The research utilizes a bibliometric approach by examining a dataset of 722 articles with two main research objectives. Firstly, it seeks to analyze current trends in immersive technology literature, specifically emphasizing VR and the user experience in museum exhibitions through co-citation analysis. Secondly, it aims to identify emerging research trends using co-word analysis.Methods:The study employs a bibliometric approach, specifically co-citation and co-word analysis, to investigate trends and forecast emerging areas in the field, particularly the role of VR in the museum context.Results:The analysis reveals the presence of five interconnected thematic clusters in the literature. These clusters include (1) VR and AR-enhanced heritage tourism, (2) VR and AR-enabled virtual museums, (3) interactive digital art education in immersive environments, (4) immersive storytelling in virtual heritage spaces, and (5) mobile AR heritage revival.Discussion:The article highlights influential works within these areas, showcasing the historical evolution of the field and the current emphasis on utilizing VR to create immersive, educational, and engaging experiences for museum visitors. The findings indicate that research on VR applications for museum exhibitions has predominantly focused on profound game-driven experiences and interactive 3D heritage, resulting in improved visitor engagement and access to cultural content. The adoption of VR technology holds the potential to revolutionize user experiences within the cultural heritage sector and reshape the overall landscape of museums and exhibitions. By presenting these research trends, this study contributes to a deeper understanding of the vital role of VR in enhancing visitor experiences in museum settings. Furthermore, it paves the way for further exploration and innovation in immersive technology.

Machine learning meets the Journal of Public Budgeting and Finance: Topics and trends over 40 years

AbstractThis research aims to mark the 40th anniversary of Public Budgeting & Finance (PB&F) by providing a retrospective of its journey over the past 40 years using the method of an unsupervised machine learning technique—structural topic modeling (STM). The study identifies 15 key thematic topics that most optimally represent the 1028 articles that were published in the studied period from 1981 to 2020. Furthermore, the study reveals the dynamic changes in the popularity of each thematic topic over time. This research identifies past and emerging research trends in PB&F to help scholars and students keep sight of the overall landscape of public budgeting and finance literature.

Assessment of Embodied Carbon in a Tied‐Arch Bridge

AbstractThe urgent need for carbon‐neutral structures arises from the construction industry's contributions to global carbon emissions and the unprecedented rate of global warming. This paper focuses on steel tied‐arch bridges and explores the possibilities of achieving carbon‐neutral design. Firstly, a scientometric study is conducted to identify key focus areas and emerging research trends in this field. The study encompasses publications that emphasize minimizing either the cost of structures or their detrimental impact to the environment. Taking a steel tied‐arch bridge as an example, we subsequently examine its embodied carbon under different design and manufacturing factors. The study reveals that structural design modifications and the use of high‐strength steel can significantly reduce the global warming potential of the bridge's superstructure. The paper then discusses current methods to reduce (or even cancel out) the embodied carbon associated with the bridge's steel superstructure and concrete substructure. It is demonstrated that the tied‐arch bridge's total embodied carbon can be reduced to up to 82%.

Effect of Dietary Patterns on Inflammatory Bowel Disease: A Machine Learning Bibliometric and Visualization Analysis.

This study aimed to analyze the related research on the influence of dietary patterns on IBD carried out over the past 30 years to obtain the context of the research field and to provide a scientific basis and guidance for the prevention and treatment of IBD. The literature on the effects of dietary patterns on inflammatory bowel disease published over the past three decades was retrieved from the Web of Science Core Collection (WoSCC) database. CiteSpace, VOSviewer, the R software (version 4.3.0) bibliometrix package, the OALM platform, and other tools were used for the analyses. The growth of scientific papers related to this topic can be divided into two stages: before and after 2006. Overall, the growth of the relevant literature was in line with Price's literature growth curve. Subrata Ghosh and Antonio Gasbarrini are the authors with the highest academic influence in the field, and Lee D.'s research results are widely recognized by researchers in this field. Among the 72 countries involved in the study, the United States contributed the most, while China developed rapidly with regard to research being carried out in this area. From a regional perspective, countries and institutions in North America, Europe, and East Asia have made the most significant contributions to this field and have the closest cooperation. Among the 1074 articles included in the study, the most influential ones tended to consider the mechanism of the effect of dietary patterns on IBD from the perspective of the microbiome. Multiple tools were used for keyword analysis and mutual verification. The results showed that NF-κB, the Mediterranean diet, fatty acids, fecal microbiota, etc., are the focus and trends of current research. A Mediterranean-like dietary pattern may be a good dietary habit for IBD patients. Carbohydrates, fatty acids, and inulin-type fructans are closely related to IBD. Fatty acid, gut microbiota, NF-κB, oxidative stress, and endoplasmic reticulum stress are the hot topics in the study of the effects of dietary patterns on IBD and will be emerging research trends.

A bibliometric analysis to reveal the drivers of university reputation

ABSTRACT University reputation is a topic that is attracting increasing interest. The first analysis of university reputation through the twin perspectives of performance analysis and scientific mapping is presented. The aim of this study is to employ bibliometric tools to visualize the thematic development, the relations, and the tendencies between the topics related with university reputation. In particular, (i) identify the structure of the relationships between past, present, and future research topics; and (ii) determine emerging research trends in the topic research from a longitudinal perspective. Concretely, a bibliometric analysis based on the co-occurrence of keywords (co-word analysis) was carried out, drawing from a sample of 219 papers extracted from the Web of Science. The main results indicated that the university reputation has, as a research topic, only started to attract academic attention more conclusively since 2006. Above all, for the differentiation of some terms from other concepts such as image and where a maturity of analysis has yet to be reached, especially in such topics as university governance and social networks (digital reputation). Moreover, there are topics considered emerging that leave possibilities for research development. Finally, there is a growing interest in academics in relation to the university reputation.

Urban theories and urbanization perspectives in cities across Nigeria

One of the emerging research trends from urbanization is the study of urban growth patterns. These growth patterns are primarily based on the growth of the local economy that directly affects agricultural lands. In Africa, the local economy has spurred the extinction of many agrarian sectors. Yet, few studies at the regional level have paid attention to these changes. Using diverse scientific literature on global urbanization, urban remote sensing, and economic geography, this study aimed to understand the theory behind urban developments in Nigeria. The primary data were collected in two study regions in the country’s eastern and southern parts, making it a large dataset to assess urban formation in these areas. We examined the evolution of urban development from the perspectives of infrastructural development, expansion, change in land use, and urban job migration opportunities that affect agrarian activities. White-collar job opportunities are limited in urban areas, substantially increasing the startup of small-scale businesses. We introduce the notion of natural resource urbanism, which implies urbanization that is triggered by the influx of natural resource revenue to strengthen the dwindling local economy. The infusion of a shared natural resource revenue creates a reform in the local economy and the advent of a consumption-based economy. A shared natural resource revenue drives massive infrastructural developments, but the dependence on the availability of those natural resources in the states raises concerns about its long-term sustainability for strengthening the local economy.