La investigación sobre la demanda del turismo gastronómico: conocimientos previos y evolución temática

The agri-food frameworks have specific characteristics (production units with small dimensions and in great number with implications in the respective markets) that call for adjusted approaches, even more so when they are considered in Mediterranean contexts (where global warming will have relevant impacts). In fact, the Mediterranean regions and countries have particular specificities (due to their climate conditions) that distinguish them from their neighbours. This is particularly true in Europe, for example, where the southern countries present socioeconomic dynamics (associated with the respective public debt) that are different from those identified in the northern regions. From this perspective, it seems pertinent to analyse the several dimensions of the agri-food systems in the Mediterranean area. To achieve these objectives, a search was carried out on 26 December 2020 on the scientific databases Web of Science Core Collection (WoS) and Scopus for the topics “agr*-food” and “Mediterranean”. These keywords were selected after a previous literature survey and to capture the agri-food contexts in Mediterranean regions. The keyword “agr*-food” was considered in this way to allow for a wider search (including “agri-food”, “agro-food”, etc.). Considering only articles (excluding proceeding papers, book chapters, and books, because in some cases it is difficult to access the entire content of the document), 100 and 117 documents were obtained from the WoS and Scopus, respectively. After removing the duplicated studies and taking into account the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) approach, 137 documents were surveyed through a literature review. As main insights, several dimensions embedded in the concept of agri-food were highlighted, from those related to heritage subjects to natural assets. On the other hand, the following subtopics were identified: agri-food dynamics and sustainability, agriculture and agri-food systems, agri-chains and food consumption, and food production and composition impact on agri-chains. Stressing the gaps in the scientific literature, related to the topics here addressed, there are possibilities to better explore the several dimensions and solutions offered by the new developments associated with smart agriculture and agriculture 4.0, specifically for the Mediterranean contexts and their challenges. Finally, to complement the PRISMA methodologies, an MB2MBA2 (Methodology Based on Benchmarking of Metadata, from scientific databases, and Bibliometric Assessment and Analysis) approach is suggested to carry out systematic literature reviews, based on bibliometric analysis.

Nowadays, under the pressure of numerous research publications, researchers increasingly pay attention to writing survey papers to track and understand one research topic they are interested in, and then begin to conduct more in-depth research. Until this moment, there are two types of survey papers: traditional review analysis and bibliometric statistical analysis. Compared with traditional review analysis, due to the analysis of various bibliometric information that can be quickly summarized to assess and predict one research field’s development, the bibliometric statistical analysis is progressively proposed. However, no research relied on the bibliometric approach to explore fuzzy inference system (FIS) -based classifiers. More importantly, since the current open-ended bibliometric analysis approaches have different assessment focuses, choosing a suitable approach is problematic. Therefore, based on the extraction, integration, and expansion of previous bibliometric analysis theories, this research proposes a new systematic and time-saving bibliometric statistical analysis approach. It is worth noting that the proposed approach eliminates the need to read the internal content of all publications. Two core parts (Publication Information and TOP 20 SETs) are generated by the proposed analysis approach. Among them, analyzing Author Keywords and TOP 20 SETs are unprecedented guiding features to assist researchers in exploring research topic. Significantly, this research relies on the proposed approach to explore FIS-based classifiers. Various assessments cover the bibliometric information of the entire related publications. In addition, these results may need to be considered to increase the citation rate of future publications.

Food markets have, at least, two dimensions. One is related to supply, where food marketing, for example, plays a determinant role, namely to promote healthy and balanced consumption. The other dimension is associated with demand, where it is important to understand and bring insights about consumer attitudes, because they have implications on patterns of food consumption. In this framework, the main objective of this research is to suggest an alternative approach for conducting systematic reviews based on bibliometric analysis and implement it on topics about food and consumer attitudes. For this purpose, the most important bibliographic items (authors, sources, organizations, countries and documents) were identified and later the most relevant documents were reviewed. In addition, 908 documents were selected on 11 December 2020 from the Web of Science Core Collection, for the topics “food” and “consumer attitude*”, and analyzed through bibliometric analysis with the support of the VOSviewer and Gephi software. These documents were also benchmarked with those available in the Scopus scientific database. The approach presented here made it possible to highlight the main insights from the scientific literature related to consumer attitudes to food and bring about further contributions to a literature review supported by bibliometric analysis. This proposal may be known as MB2MBA2 (Methodology Based on Benchmarking of Metadata, from scientific databases, and Bibliometric Assessment and Analysis). This systematic review highlights that organic foods, food neophobia, climate change, marketing strategies and interrelationships between motivations–consumer attitudes–perceptions–purchase intentions–purchase decisions (MAPID) deserved special attention. In addition, MAPID interactions are impacted, among other dimensions, by labelling, branding and trust in the information provided. Future research should further address impacts on consumer attitudes towards food, such as those related to climate-smart agriculture, food 4.0, food security and protection, and climate change and malnutrition.

This study aims to identify current research trends in the field of risk governance and financial stability of Islamic banks through a bibliometric and thematic analysis. The data used in this analysis comes from the Dimensions database, covering 126 publications between 2007 and 2023. The method used is bibliometric analysis assisted by VOSviewer software. The results show that the theme of risk governance and financial stability is a fairly interesting one, which has been the subject of numerous publications in reputed journals, particularly in the fields of banking, management, and finance (Ajizah & Widarjono, 2023; Almustafa et al., 2023). This theme has been extensively researched in countries such as the United Kingdom, Indonesia, Saudi Arabia, and Malaysia, which are the main contributors in terms of the number of publications. The results also showed the frequency of the most recurrent words (governance, risk management, corporate governance). In addition, bibliometric analyses were performed on publication year, author, university, journal, citations, co-citations, keywords, and abstract. For a more in-depth bibliometric analysis, the results of this study can be complemented by analyses of other scientific databases. In addition, this research will help and become a reference for future researchers in conducting and determining what research to pursue.

Objective: This study aims to explore the application of neural stem cells (NSCs) in the treatment of spinal cord injury (SCI) through a bibliometric analysis, identifying global research trends and hotspots in this field to further promote research progress. Methods: The bibliometric analysis was conducted using data from the Web of Science (WOS) database, focusing on literature published between 2000 and 2024. A total of 7010 related documents were retrieved, with 4531 specifically addressing NSCs and SCI. The analysis utilized the VOSviewer data analysis platform and the bibliometric online analysis platform to visualize publication and citation trends, keyword frequencies, and the contributions of various countries, authors and journals to the field. Results: The analysis revealed that the United States leads in SCI research, producing the most related articles, followed by China. Key research themes identified include “central nervous system”, “transplantation”, and “differentiation”. The most prolific journals in this field are the Cell Transplantation and Experimental Neurology, with the highest average citation rates observed in Nature Medicine. Okano H and Univ Toronto are the most influential author and institution, respectively. Conclusion: The bibliometric analysis underscores the growing global attention to SCI research and the importance of NSCs as a promising treatment avenue. Despite the challenges in understanding the SCI microenvironment and achieving clinical translation, significant progress has been made in stem cell preparation, in vitro culture, and differentiation methods. The study suggests that ongoing research and the development of comprehensive treatment strategies will enhance the clinical application of NSCs, offering hope for improved outcomes in SCI patients.

The purpose of this paper is to conduct a systematic literature review on regional smart specialisation strategies, through a bibliometric and systematic analysis, combining performance analysis and scientific mapping to detect and visualise the concurrent subdomains and their evolution over time, pointing out future lines of research. The methodology of this systematic review is based on three phases: (1) database search, (2) bibliometric analysis, and (3) systematic analysis. In the first phase, the PRISMA protocol is used and publications are obtained from the Web of Science and Scopus databases. In the bibliometric analysis, the performance analysis and scientific mapping are carried out, using the R Studio software (version 4.02), using the biblioshiny with the bibliometrix package. The systematic analysis is based not only on the results obtained in the bibliometric analysis, but also on the methodological and content information taken from the publications. This article analyses and relates four clusters—knowledge, policy, innovation, specialization—indicated by the strategic diagram and trend topics, and 15 ‘themes’: policy, innovation, knowledge, priorities, systems, institutions, entrepreneurial discovery process, diversification, related variety, clusters, multi-level governance, helix model, competitive advantage, geography, and six critical questions. The paper systematizes the literature, filling a gap on the experience gained from the implementation of these strategies in the regional, addressing the critical questions and challenges that have arisen during their implementation in this context.

PurposeThe impact of the coronavirus disease 2019 (COVID-19) pandemic on architectural education (AE) was investigated, and a framework was proposed to reduce the impacts' negative consequences.Design/methodology/approachSystematic literature review, bibliometric and content analyses were combined to gain an in-depth understanding of the effects of the pandemic on AE and projections for its future. Relevant documents were extracted from the Web of Science (WoS) database. Bibliometric connections in the context of AE and COVID-19 pandemic were explored using text-mining and content analysis was performed.FindingsThe challenges, development tendencies and collaboration networks in AE during the pandemic were quantitatively and qualitatively analyzed. The most influential articles, journals, authors and countries/regions were highlighted using a bibliometric analysis. The analysis of keyword tendencies and clusters indicates that new concepts have emerged in AE research during the pandemic involving online, in-person and hybrid education. Using content analysis of 57 subtopics, 39 (18) were categorized as having negative (positive) effects. A comprehensive mitigation framework was designed to reduce the impact of the pandemic on AE.Research limitations/implicationsThe study findings can enable practitioners to construct effective solutions to COVID-19- and other disaster-related problems regarding AE. The implications, obstacles and mitigation framework presented can help identify gaps in the literature and guide further research.Originality/valueThis paper presents the first bibliometric and content analysis of AE and COVID-19 pandemic-related studies published from January 2020 to June 2022 to highlight several research directions and academic development within the field.

Endogenous retrovirus (ERV) research amalgamates host-retroviral coevolutionary, phylogenomic, infection, immunity, and cellular studies in various hosts ranging from fish to humans. Henceforth, a bibliometric analysis of these publications may aid in the identification of trends in ERV research. It was the foremost bibliographic study, with the key aim to conduct the bibliometric network analysis (e.g. co-authorship, co-occurrence, citation, bibliographic coupling, and co-citation analysis) to find the most prolific authors, organizations, and countries in ERV research, based on the mapping of bibliographic data. Second, the mapping based on text data comprised to chalk out the research trend over the time. The global literature about endogenous retroviruses published between 1985 and Sep 2021 was searched in the Web of Science (Core Collection) database using the “ENDOGENOUS RETROVIRUS” keyword. The bibliometric analysis of this dataset was carried out using VOSviewer version 1.6.17. According to findings, English was the de facto language of these publications, and 2157 were original articles. Among 2939 published documents, “endogenous retrovirus” was the most frequent keyword. Moreover, it revealed the United States as a core contributor to studies on the ERV. The Journal of Virology published a substantial amount of manuscripts in ERV. Robert Koch Institute and Harvard University were leading organizations for research in this field. The application of ERV research from China could be the research hotspot to follow in the coming years. Current bibliometric analysis provides a comprehensive picture of ERV research progress and has highlighted the contribution of different stakeholders.

This study presents a framework and viewpoint on the intellectual structure and evolution of customer experience research in the service literature. Using the Scopus database, journal articles on customer experience have been extracted and examined to unearth the source knowledge and main themes via a two-step approach of bibliometric (citation and co-citation) and content analyses. The bibliometric analysis has revealed five main clusters of the knowledge domain: (1) methodology and information technology, (2) customer co-creation of value, (3) service quality and customer satisfaction, (4) tourist experience, (5) customer perception in service environments. Based on the literature review, content analysis was subsequently performed to reveal recent articles from each cluster. Overall, this article comprehensively examines customer experience literature in the service industries. Results present a holistic comprehension of the knowledge domain, reveal scientific progress, and provide main directions and questions for further academic efforts.

The aim of the study is to review the topic of competences that will be present at smart factories. The study used bibliometric and topic analysis to achieve insight into new trends in Industry 4.0. Bibliometric analysis and topic mining was done on 43 peer-reviewed journal articles and conference papers, published before July 2018 in the Thomson Reuters’ Web of Science and Scopus databases, using the software tool Statistica Data Miner. Results are segmented into four sections: (1) personnel development in learning organizations, (2) training techniques for personnel, (3) future engineering profiles and engineering education, and (4) relational capabilities. Each section is thoroughly discussed in this paper. The study contributes to the pool of knowledge on Industry 4.0 phenomena by compiling competences needed at smart factories in the future.

Optimization of energy storage systems for integration of renewable energy sources — A bibliometric analysis

This study presents a comprehensive analysis of academic research on scientific process skills (SPS) in science education using meticulously extracted data from the Web of Science (WoS) database. A holistic approach was employed in the research, integrating bibliometric analysis and content analysis to reveal general trends and thematic structures in the literature. Specifically, bibliometric analysis was employed to examine the most frequently cited studies on inter-author collaborations and keyword trends on SPS. Content analysis provides a unique contribution to our study by detailing the analysis of these publications. A distinguishing feature of this study is the use of a more extensive data set and a more extended period than previous studies, providing a more comprehensive picture of the evolution of research on SPS over time. The VosViwer bibliometric analysis software employs an array of analytical methods, including citation analysis, co-author analysis, keyword matching, and collaboration network analysis, to identify trends within the field. The analysis encompasses studies published from the inaugural study in 1992 through August 2024. The findings reveal a substantial increase in publications, with 2020 demonstrating the highest number of publications. In contrast, the average number of publications during the preceding five-year period was restricted to eight per year. Most of these publications are classified under "Education, Educational Research," with a smaller number falling under "Biology." This observation suggests that the primary focus of SPS research is within the educational context. Furthermore, the study revealed that publications in the SSCI and ESCI indexes are more prevalent, while there are fewer studies in the SCI-E index. The prominent researchers in this field include Kamisah Osman, Hatice Zeynep Inan, and Susan A. Kirch. A notable observation was Turkey's high ranking in terms of country distribution. This observation indicates that researchers have dedicated significant attention to the SPS in the context of science education. The most prevalent keywords in the analyzed studies were "SPS," "science education," "inquiry," and "assessment." Over time, there has been an upward trend in the use of terms such as "inquiry-based learning," "teacher education," and "elementary education." The most prominent academic journals in this field include the Journal of Research in Science Teaching and the International Journal of Science Education. Notwithstanding the strides made, the study underscores Turkish researchers' need to enhance their visibility and cultivate national journals to attain international standards.

The power of role play in nursing education: A bibliometric analysis and visualization.

This study integrates bibliometric and content analysis methods to provide a comprehensive review of digital transformation dynamic capabilities. Bibliometric analysis is conducted using VOSviewer on relevant publications retrieved from the Web of Science, Scopus, and ProQuest databases to evaluate and visualize the existing literature. The findings identify key publishing trends, leading countries and journals, influential authors, and the most researched sectors in this field. Co-citation and co-occurrence analyses highlight major research topics. Additionally, content analysis is used to categorize digital transformation dynamic capabilities into three dimensions: sensing, seizing, and transforming/reconfiguring. This study offers valuable insights into the capabilities required for digital transformation, supporting both companies and researchers in understanding and applying these concepts effectively.

Modern transformation processes in the economy necessitate a rethink of the role of business models in developing business entities' strategies. A business model is a tool that combines an enterprise's resource potential with market opportunities to ensure the creation, preservation and distribution of value between stakeholders. Studying it in a global scientific context enables us to identify key trends and directions in the evolution of the concept. Problem statement. Despite the significant number of scientific works devoted to the structure and typology of business models, there is a lack of systematic understanding of the dynamics of this concept's development in international scientific discourse. The relationship between business models, digital transformation, innovation, and the sustainable development of enterprises remains insufficiently generalised. Unresolved aspects of the problem. Evolutionary approaches to the formation of business models and the identification of leading research clusters and relevant scientific research directions in this area require clarification. The comparative analysis of publications according to the leading scientometric databases, Scopus and Web of Science, has not been sufficiently researched. Purpose of the article. The article aims to provide a bibliometric and bibliographic analysis of scientific research in the field of business models for business entities. Presentation of the main material. The research was carried out using bibliometric, trend, cluster and content analysis. The bibliometric sample was formed using the Scopus (9,041 publications) and Web of Science (5,010 publications) databases. Maps of term co-use were constructed using the VOSviewer software and key scientific clusters representing the main areas of research in the field of business modelling were identified. Conclusions. The dominant areas of research were established to be the digitalisation of business processes, innovative models of value creation, and the sustainable development of enterprises. A shift in scientific interest from the theoretical description of business models to their application in the digital economy was revealed. The study's practical significance lies in its potential to inform effective enterprise development strategies and enhance the scientific and analytical tools used to study business models.