scholarly journals Evaluative bibliometric analysis of recent trends in rural tourism literature

2020 ◽  
Vol 67 (4) ◽  
pp. 1265-1282
Author(s):  
Miljan Leković ◽  
Drago Cvijanović ◽  
Nemanja Pantić ◽  
Tanja Stanišić
Keyword(s):  
Bibliometric Analysis ◽  
Rural Areas ◽  
Intellectual Development ◽  
Relevant Literature ◽  
Research Area ◽  
Subject Area ◽  
Academic Community ◽  
Rural Tourism ◽  
Intellectual Structure ◽  
Recent Trends

The development of academic thought is a slow but unquestionable process that leads to a more advanced intellectual structure of the research area. The global growth of tourism demand in rural areas has conditioned the accelerated development of rural tourism, and thus the growing interest of the academic community in this tourism specialism. In this regard, the paper aims to provide insight into recent trends in rural tourism literature and examine the intellectual structure of this discipline. A detailed review of relevant literature published in the Web of Science (WoS) tourism journals and the application of evaluative bibliometric analysis identified the predominant interests of authors and dominant research niches, the most common research regions, the most frequently used research methods, papers that had the highest impact on modelling scientific thought within the subject area, the most productive and influential journals, as well as the authors who have left the most profound trace in the analyzed discipline in the past ten years. It is expected that the paper stimulates academic discussion on the relatively steady interest of researchers and the need for further and more dynamic intellectual development in the field of rural tourism.

scholarly journals A BIBLIOMETRIC ANALYSIS ON JOB STRESS USING VISUALIZING NETWORK

2020 ◽  
Vol 12 ◽  
pp. 21-29
Author(s):  
Amanpreet Kaur Sidhu ◽  
Harwinder Singh ◽  
Sandeep Singh Virdi ◽  
Raman Kumar
Keyword(s):  
Bibliometric Analysis ◽  
Job Stress ◽  
Research Work ◽  
Rapid Evolution ◽  
Research Area ◽  
Subject Area ◽  
Editorial Note ◽  
Valuable Insight ◽  
Stress Research ◽  
Set Up

Job stress is the most prevalent issue of the current scenario. It is observed that one out of four employees is affected by stress; thereby, it has attained the interests of many researchers. The rapid evolution of job stress research papers in the last years resulted that there is a need to conduct a detailed analysis of literature in this field. To address this problem, some researchers published a few review papers on job stress from different perspectives. Nonetheless, papers have not been published on job stress with bibliometric analysis. In the present study, an attempt is made to investigate the job stress publications with bibliometric analysis. Scopus database is considered as a literature database. Through analysis, article, conference paper, book chapter, review, Letter, editorial, note, book, short survey, data paper, Erratum, Retracted, and Undefined retrieved from Scopus indexes from 2010 to 2020. The collected data is analyzed against six research questions. The results revealed valuable insight, including annual publications, top contributing authors, Journal & affiliation, type of publication, subject area, the top country in publication, and keyword network. It is found from the analysis that the interest of researchers in job stress was at a peak in 2016. The top research area associated with job stress includes medicine, Social Sciences, and Business Management & accounting. Lambert, E.G. contributed the most in job stress publications. These findings can guide future researchers to set up a baseline before instigating a job stress research work.

scholarly journals BIBLIOMETRIC ANALYSIS OF FINANCIAL EDUCATION RESEARCH BASED ON SCIENTIFIC MAPS

2021 ◽  
Author(s):  
Antonio Alcázar-Blanco ◽  
Jessica Paule-Vianez ◽  
José Francisco Rangel-Preciado
Keyword(s):  
Risk Management ◽  
Education Research ◽  
Bibliometric Analysis ◽  
Financial Education ◽  
Research Area ◽  
Scientific Production ◽  
Intellectual Structure ◽  
Palabras Clave

This study aims to analyze the intellectual structure of research in Financial Education from bibliometric techniques from 1970 to 2020. To carry out this analysis, the SciMAT software has been used with which the performance and scientific production have been extracted, as well as the most important topics within the area of Financial Education through the analysis of the co-occurrence of keywords. The results obtained show how Financial Education is a research area with great potential and growth expectations, finding that the most prominent topics within this research area are risk management, user savings and spending, and use of money. This study contributes to the analysis of Financial Education in different fields, helping to understand its intellectual structure. Resumen El presente estudio se propone analizar la estructura intelectual de la investigación en Educación Financiera a partir de técnicas bibliométricas desde 1970 hasta 2020. Para llevar a cabo este análisis se ha utilizado el software SciMAT con el que se ha extraído el rendimiento y la producción científica, así como los temas más importantes dentro del área de Educación Financiera mediante el análisis de co-ocurrencia de palabras clave. Los resultados obtenidos muestran como la Educación Financiera es un área de investigación con un gran potencial y expectativas de crecimiento, encontrándose que los temas más destacados dentro de esta área de investigación son la gestión del riesgo, el ahorro y el gasto de los usuarios y la utilización del dinero. Este estudio contribuye al análisis de la Educación Financiera en distintos campos ayudando a una comprensión de su estructura intelectual.

Trends of puffery in advertising – a bibliometric analysis

2019 ◽  
Vol 26 (8) ◽  
pp. 2468-2485 ◽  
Author(s):  
Krunal K. Punjani ◽  
V.V. Ravi Kumar ◽  
Sanjeev Kadam
Keyword(s):  
Bibliometric Analysis ◽  
Research Area ◽  
Subject Area ◽  
Graphical Analysis ◽  
Content Type ◽  
Research Areas ◽  
Research Collaborations ◽  
Subject Areas ◽  
The Subject ◽  
Number Of Publications

Purpose The purpose of this paper is to quantitatively assess the essential trends of existing research on “puffery in advertising” through bibliometric analysis. Design/methodology/approach This study uses citation data collected through Scopus and Google Scholar for the research area “puffery in advertising” to investigate the most productive journals, top countries of affiliation and prominent years with maximum citations. The study analyses the 87 articles related to “puffery in advertising,” published during 1840 to 2018. Moreover, this study also presents graphical analysis through network maps. Findings “Puffery in advertising” has remained an under-researched area. However, records of past ten years indicate marginal growth in the number of publications. USA dominates this research area with most numbers of articles published till date. Through clustering of subject areas, it is found that majority of articles have been published under the subject area of “Business, Management and Accounting.” Interestingly, the results of the network maps slightly differ from that of citation table. Practical implications This paper is useful for any reader or researcher who wants to understand the trends of “puffery in advertising” in terms of citation analysis, authors and affiliation countries, and prominent years with maximum citations, which would further enable them to discover emerging research areas, potential research collaborations and publications. Originality/value To the knowledge of the authors, this is the first ever bilbiometric study on “puffery in advertising” providing a bird’s-eye view of the essential trends.

scholarly journals Best collaborative practices for advocacy and promotion of Open Educational Resources

2019 ◽  
Vol 3 (2) ◽  
pp. 10-14
Author(s):  
Stamatina Koutsileou ◽  
Christina Anastasopoulou ◽  
Stavroula Christaki ◽  
Nikolaos Mitrou
Keyword(s):  
Intellectual Property ◽  
Academic Libraries ◽  
Relevant Literature ◽  
Academic Community ◽  
Open Educational Resources ◽  
Educational Resources ◽  
Digital Competence ◽  
Institutional Repositories ◽  
Recent Trends ◽  
Global Conference

Purpose – The present study, after reviewing the relevant literature and the recent trends that became evident from the Open Education Global Conference 2018 (and other similar fora), documents the best practices to be adopted by the Greek academic libraries, in order to support the OER actions in Higher Education by making the Academic Community aware of the culture of OER adoption/use.    Design/methodology/approach – It emerged from the analysis of the empirical results of a relevant research conducted among faculty of Greek Universities. The research inquired into the support/guidance that academic libraries offer to the faculty of their institutions for: a. adopting/using Open Educational Resources (OER), b. creating OER and c. OER intellectual property (copyright).    Findings – The results of the research showed that most of the faculty does not consider academic libraries much supportive of them in any of the three areas investigated -as opposed to what occurs in Europe and internationally.    Originality/value – The practices documented could: a. gain advantage from the existing library infrastructure and enhance the know-how and digital competence of librarians in the following areas: OER location, intellectual property (copyright), metadata and quality assurance, institutional repositories (storage and preservation), b. support faculty and students in cultivating their digital skills and thus achieving “OER Literacy”. 

RURAL TOURISM IN INDIA CHALLENGES AND OPPORTUNITIES

2018 ◽  
Vol 6 (26) ◽  
Author(s):  
Pankaj Sharma ◽  
Ravi Parkash
Keyword(s):  
Private Sector ◽  
Rural Areas ◽  
Economic Condition ◽  
Rural Tourism ◽  
Rural Location ◽  
Different Types ◽  
Challenges And Opportunities ◽  
Political Background ◽  
The Government

The paper analyze the role of rural tourism for the development of rural areas, The study analyzed how the different types of tourist product diversifications influence the development possibilities of studied rural areas in India. The government should sponsor private Sector to promote tourism in rural areas. For upgrading the rural tourism government requires to understand the rural location, demography, socio-culture, financial and political background of that area. How we can involve the rural citizens to improve their socio-economic condition. The objective of this paper is to present an update on rural tourism expansion and development in India. Rural tourism is rising in terms of number of visitors and the government of India should focus on it as an engine of growth

scholarly journals Does Social Support Affect the Health of the Elderly in Rural China? A Meta-Analysis Approach

2019 ◽  
Vol 16 (18) ◽  
pp. 3471 ◽  
Author(s):  
Natuya Zhuori ◽  
Yu Cai ◽  
Yan Yan ◽  
Yu Cui ◽  
Minjuan Zhao
Keyword(s):  
Social Support ◽  
Rural Areas ◽  
Rural China ◽  
Statistical Significance ◽  
Empirical Studies ◽  
Relevant Literature ◽  
The Elderly ◽  
Significant Difference ◽  
Meta Regression ◽  
The Impact

As the trend of aging in rural China has intensified, research on the factors affecting the health of the elderly in rural areas has become a hot issue. However, the conclusions of existing studies are inconsistent and even contradictory, making it difficult to form constructive policies with practical value. To explore the reasons for the inconsistent conclusions drawn by relevant research, in this paper we constructed a meta-regression database based on 65 pieces of relevant literature published in the past 25 years. For more valid samples to reduce publication bias, we also set the statistical significance of social support to the health of the elderly in rural areas as a dependent variable. Finally, combined with multi-dimensional social support and its implications for the health of the elderly, meta-regression analysis was carried out on the results of 171 empirical studies. The results show that (1) subjective support rather than objective support can have a significant impact on the health of the elderly in rural areas, and there is no significant difference between other dimensions of social support and objective support; (2) the health status of the elderly in rural areas in samples involving western regions is more sensitive to social support than that in samples not involving the western regions; (3) among the elderly in rural areas, social support for the older male elderly is more likely to improve their health than that for the younger female elderly; and (4) besides this, both data sources and econometric models greatly affect the heterogeneity of the effect of social support on the health of the elderly in rural areas, but neither the published year nor the journal is significant. Finally, relevant policies and follow-up studies on the impact of social support on the health of the elderly in rural areas are discussed.

Developing and Validating a Scale of Tourism Gentrification in Rural Areas

2021 ◽  
pp. 109634802110149
Author(s):  
Chaohui Wang ◽  
Yumei Xu ◽  
Tingting (Christina) Zhang
Keyword(s):  
Rural Areas ◽  
Living Standards ◽  
Rural Tourism ◽  
Measurement Scale ◽  
Community Culture ◽  
Policy Makers ◽  
Qualitative And Quantitative ◽  
Cultural Appreciation ◽  
Great Progress ◽  
Development And Validation

In recent years, tourism gentrification has made great progress in rural areas and has had significant impacts on these areas’ development, specifically in the domains of the economy, living standards, community, culture, and environment. Tourists play a key role in developing tourism gentrification in rural areas, but research investigating tourism gentrification in rural areas from the tourist perspective is scarce. To fill this gap, we focus on tourism gentrification and develop a measurement scale from the tourist perspective through multiple qualitative and quantitative steps. Our findings confirm that tourism gentrification in rural areas from the tourist perspective comprises eight dimensions: economic growth, enhanced environment, enhanced living standards, individual civilization, improved communication, promoted social environment, cultural appreciation, and improved individual quality. Through development and validation of the scale, we hope to offer a comprehensive referencing index of tourism gentrification in rural areas to policy makers and rural tourism practitioners.

scholarly journals Application of Artificial Intelligence in COVID-19 Pandemic: Bibliometric Analysis

Healthcare ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 441
Author(s):  
Md. Mohaimenul Islam ◽  
Tahmina Nasrin Poly ◽  
Belal Alsinglawi ◽  
Li-Fong Lin ◽  
Shuo-Chen Chien ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Bibliometric Analysis ◽  
English Language ◽  
R Package ◽  
Research Area ◽  
Republic Of China ◽  
Comprehensive Picture ◽  
The Usa ◽  
The Republic ◽  
Academy Of Sciences

The application of artificial intelligence (AI) to health has increased, including to COVID-19. This study aimed to provide a clear overview of COVID-19-related AI publication trends using longitudinal bibliometric analysis. A systematic literature search was conducted on the Web of Science for English language peer-reviewed articles related to AI application to COVID-19. A search strategy was developed to collect relevant articles and extracted bibliographic information (e.g., country, research area, sources, and author). VOSviewer (Leiden University) and Bibliometrix (R package) were used to visualize the co-occurrence networks of authors, sources, countries, institutions, global collaborations, citations, co-citations, and keywords. We included 729 research articles on the application of AI to COVID-19 published between 2020 and 2021. PLOS One (33/729, 4.52%), Chaos Solution Fractals (29/729, 3.97%), and Journal of Medical Internet Research (29/729, 3.97%) were the most common journals publishing these articles. The Republic of China (190/729, 26.06%), the USA (173/729, 23.73%), and India (92/729, 12.62%) were the most prolific countries of origin. The Huazhong University of Science and Technology, Wuhan University, and the Chinese Academy of Sciences were the most productive institutions. This is the first study to show a comprehensive picture of the global efforts to address COVID-19 using AI. The findings of this study also provide insights and research directions for academic researchers, policymakers, and healthcare practitioners who wish to collaborate in these domains in the future.

Research on Emotion Recognition and Dementias: Foundations and Prospects

2021 ◽  
pp. 1-12
Author(s):  
Gregorio González-Alcaide ◽  
Mercedes Fernández-Ríos ◽  
Rosa Redolat ◽  
Emilia Serra
Keyword(s):  
Emotion Recognition ◽  
Neurological Disorders ◽  
Web Of Science ◽  
Research Area ◽  
Scientific Output ◽  
Autism Spectrum ◽  
Intellectual Structure ◽  
Clinical Neurology ◽  
Spectrum Disorders ◽  
Cognitive Areas

Background: The study of emotion recognition could be crucial for detecting alterations in certain cognitive areas or as an early sign of neurological disorders. Objective: The main objective of the study is to characterize research development on emotion recognition, identifying the intellectual structure that supports this area of knowledge, and the main lines of research attracting investigators’ interest. Methods: We identified publications on emotion recognition and dementia included in the Web of Science Core Collection, analyzing the scientific output and main disciplines involved in generating knowledge in the area. A co-citation analysis and an analysis of the bibliographic coupling between the retrieved documents elucidated the thematic orientations of the research and the reference works that constitute the foundation for development in the field. Results: A total of 345 documents, with 24,282 bibliographic references between them, were included. This is an emerging research area, attracting the interest of investigators in Neurosciences, Psychology, Clinical Neurology, and Psychiatry, among other disciplines. Four prominent topic areas were identified, linked to frontotemporal dementia, autism spectrum disorders, Alzheimer’s disease, and Parkinson’s and Huntington disease. Many recent papers focus on the detection of mild cognitive impairment. Conclusion: Impaired emotion recognition may be a key sign facilitating the diagnosis and early treatment of different neurodegenerative diseases as well as for triggering the necessary provision of social and family support, explaining the growing research interest in this area.

scholarly journals A Systematic Review on the Application of Machine Learning in Exploiting Mineralogical Data in Mining and Mineral Industry

Minerals ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 816
Author(s):  
Mohammad Jooshaki ◽  
Alona Nad ◽  
Simon Michaux
Keyword(s):  
Machine Learning ◽  
Systematic Review ◽  
Raw Materials ◽  
Relevant Literature ◽  
Geological Structure ◽  
Subject Area ◽  
Ore Deposits ◽  
Machine Learning Algorithms ◽  
Global Demand ◽  
Ore Grade

Machine learning is a subcategory of artificial intelligence, which aims to make computers capable of solving complex problems without being explicitly programmed. Availability of large datasets, development of effective algorithms, and access to the powerful computers have resulted in the unprecedented success of machine learning in recent years. This powerful tool has been employed in a plethora of science and engineering domains including mining and minerals industry. Considering the ever-increasing global demand for raw materials, complexities of the geological structure of ore deposits, and decreasing ore grade, high-quality and extensive mineralogical information is required. Comprehensive analyses of such invaluable information call for advanced and powerful techniques including machine learning. This paper presents a systematic review of the efforts that have been dedicated to the development of machine learning-based solutions for better utilizing mineralogical data in mining and mineral studies. To that end, we investigate the main reasons behind the superiority of machine learning in the relevant literature, machine learning algorithms that have been deployed, input data, concerned outputs, as well as the general trends in the subject area.

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