Identification Of Research Trends Research Articles

The role of individual differences in second language pragmatics: A systematic review

AbstractThe current systematic review aims to understand the role of individual differences (IDs) in second language (L2) pragmatics and offer recommendations for further research in this domain. To achieve this, 86 empirical studies in L2 pragmatics published in SSCI (Social Science Citation Index) journals from 2000 to 2023 were systematically selected and coded for IDs, pragmatic features and modalities investigated, methodological orientation, and research findings. The significance of this review paper is the inclusion of both qualitative and quantitative findings and the identification of research trends in the last two decades. This inclusive approach allowed us to reveal the extent to which ID factors were studied within the classic research paradigm (i.e., the influence of IDs in isolation) and the socio‐dynamic research paradigm (i.e., the combined influence of IDs and context over time). Findings revealed that the IDs identified (L2 proficiency, identity, intercultural competence, language mindsets, willingness to communicate, motivation, and cognitive factors) exerted considerable influence on L2 pragmatic competence. Accounting for research gaps, trends in methodology, and findings in the area, we provide specific recommendations for future research to bring the study of L2 pragmatics in line with the ‘affective turn’ in second language acquisition.

Identification of Research Trends in Islamic Financial Product Innovation

This bibliometric analysis delves into the burgeoning discourse surrounding sustainable entrepreneurship's role in addressing challenges within the circular economy framework. By synthesizing a vast array of scholarly literature spanning from 2006 to 2024, the study provides comprehensive insights into the intersection of these two pivotal areas. Through quantitative techniques such as co-citation analysis and keyword co-occurrence analysis, the analysis uncovers prominent themes, research clusters, and intellectual structures within the field. The results reveal a robust body of research exploring various dimensions of sustainable entrepreneurship and the circular economy, ranging from theoretical underpinnings to practical implications. Furthermore, the study identifies influential works and emerging trends, offering valuable guidance for future research directions. This research not only enriches our understanding of how sustainable entrepreneurship can contribute to a circular economy but also holds significant implications for academia, industry, and policymaking by informing strategic decision-making and inspiring innovative practices aimed at fostering sustainability and resilience in a rapidly changing world.

Illuminating the shadows: a systematic review of earnings management practices in family-owned enterprises and future research directions

PurposeThe present research conducts a thorough review of published literature relevant to earnings management (EM) practices in family firms (FFs), utilizing the Scopus database, intending to identify potential directions for future research.Design/methodology/approachThrough a systematic review, this study focuses on identifying and summarizing trends in publications over the years, the journal outlets, geographical contexts, research methodologies, the temporal evolution of theories and the specific constructs under investigation.FindingsEarlier empirical studies suggest that corporate governance enhances integrity and transparency in FFs, thereby reducing EM practices. Contrarily, compliance with International Financial Reporting Standards (IFRS) seems to offer managers more opportunities for convenient EM rather than restricting such practices. Notably, corporate social responsibility (CSR) practices do not appear to mitigate EM practices consistently. The literature, however, reveals inclusive results and areas requiring deeper exploration for more definitive results. For instance, certain corporate governance mechanisms, such as family-specific social and cultural business characteristics, subjective measures of family businesses, behavioral approaches to family owners' decision-making and directors' personal, psychological and social factors, remain largely untested. Additionally, there is a notable research gap concerning the relationship between IFRS, capital structure and EM.Originality/valueThis study’s contributions lie in its comprehensive literature review, identification of research trends and gaps, and its potential to guide future research endeavors in the domain of EM practices in FFs.

Frugal Innovation: Meta-Analysis of Bibliographic Relationships and Identification of Research Trends for the Period 2010–2021

Frugal Innovation: Meta-Analysis of Bibliographic Relationships and Identification of Research Trends for the Period 2010–2021

Bibliometric Analysis of the Impact of Government Policies on Sustainable Agriculture Business in the Context of Sustainability

This paper conducts a comprehensive bibliometric analysis to explore the evolving landscape of sustainable agriculture business in the context of government policies. The study delves into the multifaceted realm of agribusiness, examining its global significance, economic impacts, and the challenges it faces, particularly in the transition to Agriculture 4.0. The paper highlights the intricate relationship between government policies and the sustainability of agriculture businesses, addressing barriers, technological advancements, and the growing complexity of global agri-food systems. Notably, the implications for practitioners, policymakers, and researchers are elucidated, offering strategic insights for each stakeholder group. The research aims to answer three fundamental questions: the classification of existing research, identification of research trends, and the exploration of potential future research opportunities. Employing bibliometric techniques, the study presents a mapping of terms, overlay visualizations, and density visualizations to unravel the interconnectedness of research clusters and their temporal evolution. Additionally, the paper identifies the most highly cited articles and explores the thematic priorities within the discourse on sustainable agriculture and farm-related issues. Comparative analyses with previous studies in related domains contribute to a deeper understanding of the current research landscape. The findings provide actionable insights for practitioners, inform evidence-based policymaking, and guide future research endeavors in the dynamic field of sustainable agriculture business.

Scientometric analysis and identification of research trends in microplastic research for 2011-2019.

Microplastic pollution of our environment has seen major data reporting in the last decade. Microplastics produce harmful effects on marine organisms and in humans. Despite the fact that microplastics (MPs) have inert or sublethal toxicity in many circumstances, their long-term presence can have negative ecological consequences. However, there is a paucity of comprehensive literature on the present study and future development trend of MPs in aquatic ecosystems, to our knowledge. In this scientometric study, the literature was evaluated between years 2011 and 2019. The data show increasing importance of microplastics in terms of increase in publication in concurrence of granting funds in this area by major funding agencies. Most research articles were published by authors (~ 49%) affiliated with Chinese Academy of Sciences. Journals 'Marine Pollution Bulletin' and 'Environmental Pollution' were identified as important journals with 273 and 185 research publications, respectively. We have also identified the upcoming research trend and shift from microplastic presence in water to microplastic presence in air. However, in the year 2017, researchers from the UK started publishing more articles in this field with 11 publications with top authors affiliated to University of Plymouth. The journal Environmental Pollution has been found to be the leading journal (~ 20%) addressing the issue of microplastics in the environment. Our co-authorship analysis demonstrated that China (its institutions and authors) is the most collaborative country followed by the USA, together forming top cluster with a link strength of 42. Finally, our analysis provides information about prospective research and emerging trends that can be explored in the coming years.

Identification of research trends in emerging technologies implementation on public services using text mining analysis

PurposeThis study aims to conduct performance and clustering analyses with the help of Digital Government Reference Library (DGRL) v16.6 database examining the role of emerging technologies (ETs) in public services delivery.Design/methodology/approachVOSviewer and SciMAT techniques were used for clustering and mapping the use of ETs in the public services delivery. Collecting documents from the DGRL v16.6 database, the paper uses text mining analysis for identifying key terms and trends in e-Government research regarding ETs and public services.FindingsThe analysis indicates that all ETs are strongly linked to each other, except for blockchain technologies (due to its disruptive nature), which indicate that ETs can be, therefore, seen as accumulative knowledge. In addition, on the whole, findings identify four stages in the evolution of ETs and their application to public services: the “electronic administration” stage, the “technological baseline” stage, the “managerial” stage and the “disruptive technological” stage.Practical implicationsThe output of the present research will help to orient policymakers in the implementation and use of ETs, evaluating the influence of these technologies on public services.Social implicationsThe research helps researchers to track research trends and uncover new paths on ETs and its implementation in public services.Originality/valueRecent research has focused on the need of implementing ETs for improving public services, which could help cities to improve the citizens’ quality of life in urban areas. This paper contributes to expanding the knowledge about ETs and its implementation in public services, identifying trends and networks in the research about these issues.

Innovation in Key Account Management: Identification of Research Trends and Knowledge Gaps

ABSTRACT Purpose: The present work is aimed to provide a comprehensive overview of the research landscape in Key Account Management (KAM) and to identify potential knowledge gaps and under studied research questions in the context of innovation in KAM. Method: Bibliometric and content analyses have been performed. The identified scientific articles underwent into a quantitative and qualitative investigation to map the global research landscape and to measure the evolution of scientific domains and production within KAM. Findings: The study highlights the significance of the corporate strategy, quality of the sales team and organizational framework for the evolution of KAM. Furthermore, the study identified key opinion leaders and current expanding research areas around KAM. Emerging areas for innovation for growth in KAM are cross-culture business management, digital marketing and e-commerce technologies. Implications: This study offers a guide for researchers on the area of KAM providing information on scholarly work covering B-to-B marketing insights on innovation in KAM. Originality: The conduction of a systematic review of the relevant literature allows us to understand better the intellectual structure of the field, to synthesize the findings of previous studies, and to identify expanding and emerging research areas. In addition, we identify the most influential publications and authors in the KAM field, providing guidance to researchers and practitioners when conducting research on this subject area.

Identification of Research Trends in Aging in Place Using Text Mining Analysis

Since 1980s professionals and social service providers have focused on aging at the place where people lived. This is the initial concept of the Aging in Place (AIP). Over 40 years, the topics have developed and extended to other disciplines welcoming different perspectives in the study of AIP. Therefore, this study aims to understand the overall research trends in Aging in Place (AIP) studies using text mining analysis to track the evolvement of AIP subtopics not only in Gerontology but also in various fields. To identify the topic trends, we collected the titles, abstracts, and keywords from 1,372 international articles that were published from 1981 to 2019. Then, keywords were extracted and cleaned based on precedent literature and discussions. We analyzed the keywords based on the degree of centrality and visualized the keyword-networks using VOSviewer and Pajek. Top-most popular keywords are “independent living”, “housing”, “older adults”, “home care”, “daily life activity” and “quality of life.” The change in topic trends shows that in the 1980s to early-2000s, research focused on organization and management level of intervention, home(housing) for the older adults, long term care. In the mid-2010s, health-related topics such as daily life activity, health service, health care delivery and quality of life have emerged. Recently, the topics have extended further to technology, caregiver, well-being, and environment design, environmental planning that support independent living of oneself. The research result shows that the interdisciplinary approach regarding AIP is not only inevitable but also encouraged for an in-depth discussion of the field.

Identification of research trends concerning application of stent implantation in the treatment of pancreatic diseases by quantitative and biclustering analysis: a bibliometric analysis.

ObjectivesIn recent years, with the development of biological materials, the types and clinical applications of stents have been increasing in pancreatic diseases. However, relevant problems are also constantly emerging. Our purpose was to summarize current hotspots and explore potential topics in the fields of the application of stent implantation in the treatment of pancreatic diseases for future scientific research.MethodsPublications on the application of stents in pancreatic diseases were retrieved from PubMed without language limits. High-frequency Medical Subject Headings (MeSH) terms were identified through Bibliographic Item Co-Occurrence Matrix Builder (BICOMB). Biclustering analysis results were visualized utilizing the gCLUTO software. Finally, we plotted a strategic diagram.ResultsA total of 4,087 relevant publications were obtained from PubMed until May 15th, 2018. Eighty-three high-frequency MeSH terms were identified. Biclustering analysis revealed that these high-frequency MeSH terms were classified into eight clusters. After calculating the density and concentricity of each cluster, strategy diagram was presented. The cluster 5 “complications such as pancreatitis associated with stent implantation” was located at the fourth quadrant with high centricity and low density.ConclusionsIn our study, we found eight topics concerning the application of stent implantation in the treatment of pancreatic diseases. How to reduce the incidence of postoperative complications and improve the prognosis of patients with pancreatic diseases by stent implantation could become potential hotspots in the future research.

Research in EE and ESD in Portuguese public universities

Purpose This paper aims to outline the scientific production in Portuguese universities in environmental education (EE) and education for sustainable development (ESD). It takes doctoral theses presented in public universities as reference, assuming that, in Higher Education, the production of doctoral theses is a key beacon of the scientific development in academic fields of knowledge. Design/methodology/approach The theses selected were subject to documentary and content analyses. Findings The results allow the identification of research trends and the recognition of detached aspects, such as the influence of the UN Decade of ESD in the research themes and the clear preponderance of a qualitative-led research tradition. Originality/value This paper provides an original and extensive review of PhD studies on EE and ESD in Portuguese public universities.

Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0

The so-called “smartization” of manufacturing industries has been conceived as the fourth industrial revolution or Industry 4.0, a paradigm shift propelled by the upsurge and progressive maturity of new Information and Communication Technologies (ICT) applied to industrial processes and products. From a data science perspective, this paradigm shift allows extracting relevant knowledge from monitored assets through the adoption of intelligent monitoring and data fusion strategies, as well as by the application of machine learning and optimization methods. One of the main goals of data science in this context is to effectively predict abnormal behaviors in industrial machinery, tools and processes so as to anticipate critical events and damage, eventually causing important economical losses and safety issues. In this context, data-driven prognosis is gradually gaining attention in different industrial sectors. This paper provides a comprehensive survey of the recent developments in data fusion and machine learning for industrial prognosis, placing an emphasis on the identification of research trends, niches of opportunity and unexplored challenges. To this end, a principled categorization of the utilized feature extraction techniques and machine learning methods will be provided on the basis of its intended purpose: analyze what caused the failure (descriptive), determine when the monitored asset will fail (predictive) or decide what to do so as to minimize its impact on the industry at hand (prescriptive). This threefold analysis, along with a discussion on its hardware and software implications, intends to serve as a stepping stone for future researchers and practitioners to join the community investigating on this vibrant field.

Transformation towards Industry 4.0 - identification of research trends and aspect of necessary competences in the light of selected publications

Transformation towards Industry 4.0 - identification of research trends and aspect of necessary competences in the light of selected publications

Trend of research on sustainable tourism and climate change in 21st century

Purpose Climate change is one of the greatest challenges for policymakers at both the international and national levels in the twenty-first century; there is no exception for the tourism industry, which is one of the most highly climate sensitive sectors. Tourism researchers have continued to explore the relationship between sustainable tourism and climate change to develop a range of effective strategies for policymakers. This paper aims to review published literature in the areas of sustainable tourism and climate change. Design/methodology/approach The review maps sustainable tourism and climate change domains between 1996 and 8 January 2016. The review encompasses 95 published documents obtained from the Scopus database on 8 January 2016. The search terms were “Sustainable Tourism” and “Climate Change” combined with Boolean Operator “AND” in the “Article Title, Abstract, Keywords”. Findings The outcomes of this study are: Identification of trends in research and the most influential papers on sustainable tourism associated with climate change research; evaluation of the contribution of authors, journals and institutions in this area; and guidance for policymakers to develop policies to mitigate the impact of tourist activities on climate change. Research limitations/implications The study provides a basis for communication between academics and practitioners by revealing the research trends in sustainable tourism and climate change and by categorizing the contents of prior studies to provide guidance for future studies. Originality/value The originality of this paper is in determining possible research gaps and thereby providing guidance for future study. The study also makes a practical contribution by addressing the topics of interest to policymakers.

Olfactory Neuroepithelium As a Cellular Model for the Diagnosis of Neuropsychiatric Diseases

The neuroepithelium has been used as an experimental model to find biological markers for neuropsychiatric disease diagnosis. Patent information permits understanding of the state of the art of neuroepithelium in neuropsychiatric disease diagnosis, as well as the identification of trends in research and development on this theme. In this article, we discuss diverse methods for obtaining primary cultures of olfactory neurons obtained by animal dissection or by postmortem biopsy of human cadavers. The principal owners of patents related to olfactory neuroepithelia are universities such as John Hopkins and Bristol-Myers Squibb. The USA has the most research lines and approved patents in the world, while Rutgers, the State University of New Jersey, provides composition and methods related to the diagnoses and treatment of neuropsychiatric disorders.

Usage Analysis for the Identification of Research Trends in Digital Libraries

The analysis of user logs from large-scale digital libraries offers new opportunities to assess research trends in an institution's user communities. We describe the application of a methodology to derive weighted journal relationship networks from reader logs at the Los Alamos National Laboratory's Research Library during 1998 and 2001. A journal impact metric is defined that derives journal impact from the structural features of the generated journal relationship networks, much in the same manner Google's PageRank evaluates the impact of web pages for a given subject on the basis of its context of hyperlinks to other pages. A comparison of this reader impact metric to the ISI Impact Factor values for the same journals in 1998 and 2001 allows us to detect and interpret community-specific research trends where the LANL community deviates from Usage Analysis for the Identification of Research Trends in Digit... http://www.dlib.org/dlib/may03/bollen/05bollen.html 1 of 21 12/9/13 4:02 PM more general trends as indicated by changes in the Institute for Scientific Indexing (ISI) Impact Factors during those same years. Such analysis yields information to aid digital library managers to improve the evaluation of not only which parts of the collection are most highly valued by their local community, but it also detects research trends in user communities as they evolve over time.