Mapping Of Trends Research Articles

Green Accounting and Organization Performance: Science Mapping of Present and Future Trends

Green accounting's main objective is to influence corporate behavior toward social and environmental concerns and address social issues affecting global sustainable development. Establishing green accounting practices in businesses is crucial for community concern and environmental sustainability. This research aims to explore the knowledge structure of green accounting and its impact on organizational performance. Environmental accounting is an important tool in improving the quality of environmental reporting. This study conducted a literature analysis, and the research methodology employed bibliometric analysis. VosViewer, with co-word analysis and bibliographic coupling, is specialized software used to visualize trends in research topics, authorship, and institutional affiliation. Scopus database is chosen due to its extensive coverage and indexing of important journals for articles published between 2005 and 2022. This search yielded 233 documents. This study implies that adopting green accounting has several important elements, namely integrated and transparent sustainability reports that help stakeholders make better decisions. Green accounting increases the accountability and transparency of sustainability reports, as it is supported by structured and measurable information. The board of directors’ support and good corporate governance influence the success of the sustainability report. The company's sustainability performance is assessed using complex methods and involves quantitative and qualitative indicators. This article is the first to present a scientific mapping of green accounting literature, the basis for a study on corporate sustainability performance. The results of this study give scholars, researchers, and practitioners important information about advancements in accounting science, particularly in the area of green accounting.

Analysing Bibliometrics Trends: The Flipped Classroom Approach in Foreign Language Learning

This study aimed to investigate the adoption of the FC model for EFL learning. It considers research articles in the various journals and databases with ORCHID and Crossref indices between 2019 and 2023. Data analysis, for research trend mapping comparatively, used Vosviewer. This included especially recognizing the keywords that are in use nowadays, the articles and journals that are most cited, and the countries and institutions that are most influential. The result presented some interesting issues as follows.1) the countries with the highest link of collaborations were Malaysia, Iran, China, and Indonesia, while the most cited countries were Indonesia, Iran, China, Turkey and Malaysia. 2) The most used keywords in research on FC in EFL learning formed into four clusters. The most strength links were ‘flipped classroom’, ‘flipped learning’, ‘pedagogy’, ‘foreign language learning’, ‘COVID’ and ‘autonomous learning’. 3) The most used words in titles and abstracts form into 3 clusters with 'effect', 'perception', 'challenge', and 'COVID' being the most strength links 4) The most referenced authors include Zainuddin with 76 citations from 6 articles, Abdullah with 62 citations from 2 articles and Öztürk with 50 citations from 2 articles. 6) the most cited journals were the International Journal of Emerging Technologies in Learning (IJET).

TCSIF: a temporally consistent global Global Ozone Monitoring Experiment-2A (GOME-2A) solar-induced chlorophyll fluorescence dataset with the correction of sensor degradation

Abstract. Satellite-based solar-induced chlorophyll fluorescence (SIF) serves as a valuable proxy for monitoring the photosynthesis of vegetation globally. The Global Ozone Monitoring Experiment-2A (GOME-2A) SIF product has gained widespread popularity, particularly due to its extensive global coverage since 2007. However, serious temporal degradation of the GOME-2A instrument is a problem, and there is currently a lack of time-consistent GOME-2A SIF products that meet the needs of temporal trend analysis. In this paper, the GOME-2A instrument's temporal degradation was first calibrated using a pseudo-invariant method, which revealed 16.21 % degradation of the GOME-2A radiance at the near-infrared (NIR) band from 2007 to 2021. Based on the calibration results, the temporal degradation of the GOME-2A radiance spectra was successfully corrected by using a fitted quadratic polynomial function whose determination coefficient (R2) was 0.851. Next, a data-driven algorithm was applied for SIF retrieval at the 735–758 nm window. Also, a photosynthetically active radiation (PAR)-based upscaling model was employed to upscale the instantaneous clear-sky observations to monthly average values to compensate for the changes in cloud conditions and atmospheric scattering. Accordingly, a global temporally consistent GOME-2A SIF dataset (TCSIF) for 2007 to 2021 with the correction of temporal degradation was successfully generated, and the spatiotemporal pattern of global SIF was then investigated. Corresponding trend maps of the global temporally consistent GOME-2A SIF showed that 62.91 % of vegetated regions underwent an increase in SIF, and the global annual averaged SIF exhibited a trend of increasing by 0.70 % yr−1 during the 2007–2021 period. The TCSIF dataset is available at https://doi.org/10.5281/zenodo.8242928 (Zou et al., 2023).

Halal certification in food products: science mapping of present and future trends

PurposeThis study aims to evaluate the knowledge structure of halal certification in food and beverages. The growth of the Muslim population and the expanding economic activities among the Muslim community have necessitated extensive and comprehensive halal certification, particularly in food and beverage products.Design/methodology/approachThrough a science mapping approach, this study explores the knowledge structure based on past publications in food and beverages and its association with halal certification, logos and brands. Applying bibliographic coupling and co-word analysis, the present and future trends of halal certification in food and beverages are explored by presenting a network visualization to present the underlying themes and research streams.FindingsThe main finding from recent and emerging themes shows that the pivotal perspective is increasing consumers’ knowledge and awareness of halal-certified food products. Future trends stemming from the co-word analysis suggest the importance of exploring consumer halal food product determinants.Originality/valueThis study is relevant to stakeholders, scholars and practitioners, particularly in disseminating information and voice on the importance of halal-certified food products that are recognized as having better quality and contributing to environmental sustainability.

Trend Map: A Bibliometric Exploration of the Utilization of Chemical Education Bulletins in the Digital Age

Trend Map: A Bibliometric Exploration of the Utilization of Chemical Education Bulletins in the Digital Age

Integrated transcriptomics and metabolomics study of embryonic breast muscle of Jiaji ducks

Because number of matured muscle fibers in poultry does not increase after birth, the meat yield is mainly determined during embryogenesis. We previously indicated breast muscle grew rapidly from 18th day after hatching (E18) to E27, and almost stopped from E27 to E34 of Jiaji ducks, while the mechanism is unclear. This study utilized RNA-seq to explore the related genes of muscle development and their relationship with small molecule metabolites at E18, E27 and E34 of Jiaji ducks. Several thousand differentially expressed genes (DEGs) were detected among E18, E27 and E34. DEGs expression profiles included 8 trend maps, among which trend 1 was opposite to and trend 6 was consistent with breast muscle development trend of Jiaji ducks. Through joint analysis between trend 1 of DEGs and trend 1 of differential metabolites (DEMs), protein digestion and absorption pathway stood out. The decrease of COL8A2 gene expression will lead to the decrease of arginine content, which will inhibit the development of breast muscle in embryonic Jiaji duck. Similarly, joint analysis between trend 6 of DEGs and trend 6 of DEMs indicated the increase of GAMT gene expression will cause the increase of proline content, and then promote the development of breast muscle of Jiaji duck in embryonic period. These results will be helpful for further understanding the mechanism of muscle yields of Jiaji ducks.

Overview, Trends and Mapping of The Scientific Production on Childhood Tuberculosis: A Scientometric Study

Background: Tuberculosis in children is highly prevalent and is considered community transmission by an infected adult. This study analyzed childhood tuberculosis literature from 2018 to 2023 on Scopus. Methodology: The study was an observational, retrospective design with a bibliometric approach focusing on the scientific production on childhood tuberculosis. A trend analysis and mapping of the literature published in Scopus was performed. The following selection criteria were applied: All types of papers published in Scopus during the study period were included. Papers published between 2018 and 2023 were included. Papers had to be focused on childhood tuberculosis. Results: Antoni Diez Noguera-Julián from SJD Barcelona Children’s Hospital had a field-weighted citation impact of 10.89. Anneke Catharina Hesseling and James Alexander Seddon had the highest output. The University of Melbourne and the University of Barcelona had high field-weighted citation impacts. Despite the United States’ high production, Spain and Australia showed significant influence. The “International Journal of Tuberculosis and Lung Disease” led in production. Conclusions: A bibliometric study on childhood tuberculosis literature from 2018-2023 highlighted Antoni Diez Noguera-Julián’s significant citation impact and the high output of Anneke Catharina Hesseling and James Alexander Seddon. Despite the U.S.'s high production, Spain and Australia showed significant influence.

An integrated GEE and machine learning framework for detecting ecological stability under land use/land cover changes

Ecological stability (ES) is recognized as a crucial factor for sustainable development at global and regional scales. However, the importance of this factor was not considered significant. Hence, the main aim of this study was to introduce a new approach that focuses on detecting ES over the Maharloo watershed in Iran. To achieve this goal, we extracted land use and land cover (LULC) data from the Google Earth Engine (GEE) platform by applying the random forest (RF) machine learning method, which obtained Kappa statistics of 0.85, 0.86, and 0.87 for the years 2002, 2013, and 2023, respectively. We identified both stable and unstable regions based on LULC changes and employed them using machine learning to forecast the ES. The most important predictors of ES were elevation, soil organic carbon index, precipitation, and salinity. The results of this research revealed that certain areas within the Maharloo watershed have experienced ecological instability in recent years, with gardens showing the highest percentage (60.65 %) of instability among all land-use categories. The performance and validation of our model suggest that the study results are reliable (AUC = 0.86). This study offers detailed maps of ES and trends, offering valuable insights for decision makers to support landscape conservation and restoration efforts. Overall, the findings contribute to a more comprehensive understanding of the ecological dynamics of the Maharloo watershed and provide valuable insights for sustainable development and conservation efforts in other regions.

Semiotic protocols for cultural trend analysis in strategic communication: Brand cases from the telecommunications sector

The SARS-CoV-2 pandemic strongly influenced daily practices, and this manifested in social interactions, communications and consumption. This work addresses the relations between branding and cultural trends in strategic communication and advertising in different contexts of the pandemic. First, we reviewed the concepts of branding and cultural trends. From there, it was necessary to develop a methodological proposal to articulate a connotative semiotic analysis with the semiotic square and a cultural trend mapping. The analysis was carried out through an independent and comparative reading of two-time phases: confinement (2020) and end of constraints (2022). Three telecommunications brands in Portugal act as case studies in a random and probabilistic sample of two audiovisual texts from Christmas campaigns each. Finally, a theoretical-operational triangulation is obtained between branding, cultural trends and semiotic analysis in promoting local brands that redefine spaces, social relations, and identity expression during and after the COVID-19 pandemic confinements.

Volunteer researchers in modern science: analysing “Nature” publications

The article presents a scientometric analysis of publications on citizen science, i.e., conducted with the participation of non-professional scientists, posted on the portal of the journal Nature, in order to identify the main directions and thematic trends in the field of citizen science over the last 5 years. The article identifies the key thematic clusters to which the reviewed publications belong, and analyses the thematic trends in each of the presented clusters. The search was carried out in English among the publications posted on the portal in the period from 2019 to 2023. The result is presented using computer visualisation and a table of key topics of the reviewed publications; in the future it is planned to expand the study and build a thematic map and scheme of key trends both abroad and in Russia. The analysis shows that the key topics in which volunteer researchers have been involved over the last 5 years have been environmental protection and conservation, publications on biodiversity and climate change, and data analysis in ecology. The authors note a widespread and growing interest in finding scientific volunteers to conduct research, as well as the growing role of volunteer researchers. The participation of non-professional scientists encourages a shift towards interdisciplinary research and promotes the use of different research methodologies. There are trends in the transformation of the role of volunteer researchers from the status of ordinary field researchers to full-fledged participants in research work.

Trend analysis of MODIS NDVI time series and its relationship to temperature and precipitation in Northeastern of Iran.

Vegetation plays a crucial role in providing organic matter and regulating energy exchange on the Earth's surface. This study investigates the changes in vegetation cover, temperature, and precipitation in northeastern Iran during 2001-2020. MODIS-NDVI time series data and climatic data from 11 synoptic stations were utilized. The nonparametric Mann-Kendall method was employed to detect trends in vegetation cover and climatic variables. Additionally, the correlation between climatic parameters and vegetation was examined. Trend analysis revealed significant increases/decreases in vegetation cover in 32%/26% of the region, respectively. The increasing trend in vegetation cover was predominantly observed in highlands, suggesting that a warmer climate has enhanced the living conditions for plants in these regions. The vegetation trend map indicates an expansion of vegetation cover in the northern and central parts of Iran during the past 20years, whereas the southern and eastern portions experienced declines. The relationship between vegetation and elevation revealed that vegetation increased above 1,850m and decreased below 850m. Trend analysis showed no significant trend in precipitation data since the beginning of the twenty-first century, but an increasing trend in temperature was observed in 82% of the region's area, excluding the western strip. Correlation coefficients between temperature, precipitation, and vegetation indicated that declining temperatures are the limiting factors for vegetation in the highlands, while in lowland areas, the decrease in precipitation significantly diminishes vegetation growth.

Green information technology and green information systems: science mapping of present and future trends

Green information technology and green information systems: science mapping of present and future trends

Machine Learning Method to Explore the Correlation between Fly Ash Content and Chloride Resistance.

Chloride ion corrosion has been considered to be one of the main reasons for durability deterioration of reinforced concrete structures in marine or chlorine-containing deicing salt environments. This paper studies the relationship between the amount of fly ash and the durability of concrete, especially the resistance to chloride ion erosion. The heat trend map of total chloride ion factor correlation displayed that the ranking of factor correlations was as follows: sampling depth > cement dosage > fly ash dosage. In order to verify the effect of fly ash dosage on chloride ion resistance, three different machine learning algorithms (RF, GBR, DT) are employed to predict the total chloride content of fly ash proportioned concrete with varying admixture ratios, which are evaluated based on R2, MSE, RMSE, and MAE. The results predicted by the RF model show that the threshold of fly ash admixture in chlorinated salt environments is 30-40%. Replacing part of cement with fly ash in the mixture of concrete below this threshold of fly ash, it could change the phase structure and pore structure, which could improve the permeability of fly ash concrete and reduce the content of free chloride ions in the system. Machine learning modeling using sample data can accurately predict concrete properties, which effectively reduce engineering tests. The development of machine learning models is essential for the decarbonization and intelligence of engineering.

Trend Mapping of Traditional Ceremonial Studies: Systematic Literature Review

The rising popularity of traditional rituals and ceremonies globally, including in Indonesia, has sparked interest both as heritage practices passed down through generations and as contemporary subjects of study. This article aims to provide a comprehensive overview of trends in the study of traditional ceremonies through a systematic literature review. However, the current abstract falls short of elucidating the specific criteria used to select the 200 articles. To address this, the study employed a systematic literature review approach, examining 200 scholarly articles on traditional ceremonies sourced from Google Scholar and Crossref databases spanning the years 2012 to 2022. The systematic literature review utilized the Publish or Perish application to gather metadata from Google Scholar and Crossref, with subsequent data visualization facilitated by the VOSviewer application. The outcomes of the study encompass three main findings: 1) Mapping clusters of study themes related to traditional ceremonies, 2) Identifying the network of authors whose works predominantly contribute to the field of traditional ceremonies, and 3) Uncovering gaps and novel aspects within the realm of traditional ceremony studies. While the abstract outlines these results, a more detailed elaboration is essential to enhance the overall depth and contribution of the study. Specifically, elucidating the criteria used for article selection and providing a more thorough explanation of the mapping clusters and identified gaps will significantly improve the clarity and impact of the research.

Current Update Waste to Energy in Developing Country; A Review and Bibliometric Analysis

The concept of processing waste into energy has developed in the last few decades, especially in developing countries. This paper reviews a bibliometric overview of the waste-to-energy literature and related analyzes in developing countries in the last 10 years. The research method used is quantitative with bibliometric analysis on the Scopus database. Based on this method, the number of articles analyzed was 1,880 articles in the form of journals, conference papers, and scientific reviews. There are four stages of analysis, namely determining the source title, keywords, country, and selection literature. Data analysis using a bibliometric approach found 116 articles related to Waste-to-Energy Incineration in developing countries. This study uses VOSviewer software version 1.6.19 for data complexity. The results of this study indicate that the Waste to Energy was divided into five clusters with 56 keywords. The most powerful topics related to this Waste-to-Energy are Municipal Solid Waste and Technology. Research on related waste into energy has increased in developing countries since 2004. This study found keywords such as biofuel and electricity, indicating the current trends in Waste to Energy research in the visualization of research trend mapping.

Visualization of Hot Topics and Global Trends in Community Librarianship (With an Emphasis on the Role of Public Libraries)

ABSTRACT The general subject trends and emphasized points of Community Librarianship (CL) researches are not clear. According to reviewed papers, CL encompasses a wide range of social issues. This dispersion and diversity require presenting a comprehensive map of the thematic trends. The present study showed the concept of “social capital” is the underlying base for the literature of CL, which is the outcome of dialogue and interactive space of libraries. Also, historically, the related publications can be classified into five categories: 1) promoting the democratic culture and training informed and participating citizens 2) improving e-government; 3) library as a place for creating social capital; 4) sharing consumer health information; and 5) natural crises and disasters. The results of this study can show and reflect the “common good” of public libraries, that can effectively provide insight for librarians, attract policymakers’ support, and maintain the position and future of these libraries.

Halal and Islamic tourism: science mapping of present and future trends

Purpose This study aims to provide a comprehensive and systematic review of halal tourism structure using bibliometric analysis. Halal tourism interest has increased due to the high demand for tourism products adhering to Shariah law. Furthermore, the vast Muslim population has increased the demand for halal tourism products and destination factors in this niche tourism segment. Design/methodology/approach A network visualization through bibliographic coupling and co-word analysis, this review presents a science mapping analysis to reveal the knowledge structure of emerging and future trends in halal tourism. Findings The current and emerging trends demonstrate three themes: the fundamentals of halal tourism, communication via word of mouth in halal tourism and Muslim tourist satisfaction and loyalty. At the same time, the co-word analysis presents the four themes primarily associated with halal tourism challenges: tourist satisfaction, service quality and Muslim travellers’ attraction. Research limitations/implications The findings serve as crucial implications, contributing to halal and general tourism theory and application. Originality/value This review serves as crucial fundamental knowledge for future studies in halal tourism and its relevant themes for further development in tourism management. The most significant emerging theme in halal tourism is the intervention needed to increase Muslim tourist satisfaction and loyalty through halal-friendly service, customer-service quality, foods and beverages, facilities and privacy. The co-word analysis suggests increasing tourists’ engagement in halal tourism by invigorating the religiosity domain among tourists, improving service quality and perceived value and discovering new Muslim-friendly attractions. The most crucial finding from this study is to ensure that halal and Muslim-friendly tourism are at the same level, to the extent of better service according to Islamic practice. This approach would elevate the value and status of halal tourism as a trending product in Muslim and non-Muslim markets.

Glowing and flaming autoignition of wood exposed to coupled convective and radiative heating

Autoignition of solid fuels driven by coupled convective and radiative heating is frequently encountered in fires, whereas its controlling mechanism is rarely revealed. To challenge this issue, autoignition tests of 5 and 15 mm thick cylindrical wood samples were conducted using a newly developed apparatus enabling coupled convective and radiative heating. The total heat flux imposed on wood was maintained at 25 kW/m2, while the fractions of the two heating components changed as the airflow velocity and temperature varied in the ranges of 0–1.51 m/s and 298–473.3 K. Glowing ignition occurred in all scenarios except for one case due to enhanced heat loss and declined radiative heating. Flaming ignition was observed in all conditions except for 298 K airflow temperature. Four stages were identified during flaming combustion: a preheating and deformation stage, a glowing combustion stage, a coupled glowing and flaming combustion stage, and an extinction stage. Compared to 5 mm samples, the surface temperature rise of 15 mm wood was significantly delayed due to its thermally thick nature. By fitting experimental data, a new formula was proposed to correlate glowing ignition temperature with radiative heat flux, airflow velocity, and airflow temperature. Both glowing and flaming ignition times were affected by airflow and radiative heating in a complex manner, and their values to the power of −0.5 approximately linearly depended on radiative heat flux. Damköhler number and nondimensional heat loss ratio were employed to quantitively analyze the flaming ignition propensity. Meanwhile, an ignitability trend map identifying the flaming and non-flaming ignition regimes was drawn.

Bibliometric Analysis of the Trend of Sociology of Communication Research Topics

Bibliometric analysis can provide extensive data mapping of previous research topic trends to formulate subsequent research topics. There is still a lack of bibliometric analysis of trends in sociology of communication research topics. The study used bibliometric analysis of 37,999 publications in ScienceDirect over three periods. Publication data was selected using the keyword "sociology of communication." Data processing was conducted by co-occurrence between keywords and data presentation with overlay visualization. The results of data processing with VosViewer revealed shifts in research topics over three periods. Topics that emerged after 2022 are related to Covid-19 pandemic, such as healthcare, resilience, stress, and vaccine hesitancy; methodologies like systematic literature review; recent technologies such as artificial intelligence; and other societal concerns, including sustainability. That topic was suggested for future research. However, sustainability and systematic literature review are old issues in other research fields. The research found that the sociology of communication research topics is changing dynamically and is influenced by social phenomena such as pandemics and technological advancements. The presence of two recent topics that have become old issues in other fields of social research shows the challenge for communication scientists to respond responsively to global social and methodological issues.

Fraudulent Financial Reporting: How far has it been Researched?

This study aims to determine the development and trend map of fraudulent financial reporting research that is published by a reputable journal in the theme of economics and finance. The data analyzed were more than 91 publications of indexed research publications. The export data is then processed and analyzed using the R Biblioshiny application program to find out the bibliometric map of the development of the research in this topic. The results showed that the number of publications on the fraudulent financial reporting research experienced a significant increase. The results show that the most popular authors are Groove H and Carcello JV, and the most popular keyword topics are Financial, Reporting, and Fraudulent. Apart from that, there are several trend topics related to fraudulent financial reporting.