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This study explores orientations in the study of sustainability strategy in agribusinesses using quantitative and qualitative research methods. The quantitative aspect involved a bibliometric analysis of scientific publications in the Scopus and Web of Science databases on publications in the area of business and management, while the qualitative approach involved a systematic analysis to determine strategic orientations. The research methodology used was the Constructivist and Knowledge Development Process (Proknow-C), which includes four stages: (1) portfolio selection, (2) bibliometric analysis of the portfolio using bibliometric software, (3) systematic analysis and (4) identification of future research. The results revealed four strategic directions for sustainability: Corporate Social Responsibility, Standards and Traceability, Innovation and Environmental Performance, and Governance and Food Safety. In addition, two areas for future research were identified: corporate sustainability policies and management practices. Although there is a considerable amount of literature on sustainability, research in agribusiness is still in its infancy and there is a need to deepen the interactions between the economic, environmental and social dimensions in order to promote business strategies in agribusiness that foster sustainable development.

 

 

The use of artificial intelligence (AI) in the segmentation of liver structures in medical images has become a popular research focus in the past half-decade. The performance of AI tools in screening for this task may vary widely and has been tested in the literature in various datasets. However, no scientometric report has provided a systematic overview of this scientific area. This article presents a systematic and bibliometric review of recent advances in neuronal network modeling approaches, mainly of deep learning, to outline the multiple research directions of the field in terms of algorithmic features. Therefore, a detailed systematic review of the most relevant publications addressing fully automatic semantic segmenting liver structures in Computed Tomography (CT) images in terms of algorithm modeling objective, performance benchmark, and model complexity is provided. The review suggests that fully automatic hybrid 2D and 3D networks are the top performers in the semantic segmentation of the liver. In the case of liver tumor and vasculature segmentation, fully automatic generative approaches perform best. However, the reported performance benchmark indicates that there is still much to be improved in segmenting such small structures in high-resolution abdominal CT scans.

 

 

Objective: Traditional Chinese non-pharmacological therapy has gained popularity in the management of overweight and obesity. This study aims to reveal trends and hotspots of global research on traditional Chinese non-pharmacological therapies for overweight and obesity. Methods: Publications on traditional Chinese non-pharmacological therapies for overweight and obesity between 2004 and 2023 were searched from the Web of Science Core Collection. Bibliometric analyses and visualization were performed using VOSviewer, CiteSpace, and R software. Results: A total of 566 publications from 246 journals were included in this study. Annual number of publications and cited times in the field were generally increasing. China contributed the most publications, followed by the United States and Republic of Korea, and Chengdu University of Traditional Chinese Medicine from China had the highest number of publications among institutions. Stener-Victorin E was not only the most productive author but also, along with Cabioglu MT, the most cited authors. Evidence-Based Complementary and Alternative Medicine was both the largest source journal and the most cited journal. The highly cited references mainly consists of clinical trials, narrative reviews and systematic reviews focusing on acupuncture therapy. Keywords analysis indicated that acupuncture therapy and traditional Chinese exercise constituted the main components of traditional Chinese non-pharmacological therapy in weight management. Conclusions: This study revealed a growing interest in traditional Chinese non-pharmacological therapies for managing overweight and obesity, with acupuncture therapies and traditional Chinese exercises as the main research focuses. This study offers insights into traditional Chinese non-pharmacological therapies in weight management, and may benefit further research.

 

 

Understanding innovation ecosystems and the circular economy is crucial for systemic change in business and industry, fostering eco-innovation and advancing sustainable development. This study uses bibliometric analysis to uncover the research trends, patterns, and collaborations, revealing a significant gap in understanding the interactions between innovation ecosystems and the circular economy and offering potential avenues for future research that align with sustainable development. The analysis was carried out with the help of Biblioshiny and VOSviewer on the final selected documents of 2981 from the Scopus database through a search query and the SPAR-4-SLR stages of filtration. The key findings of the study are as follows: collaboration among countries involves accessing countries’ resources, knowledge, markets, and location. The study explores research trends in the innovation ecosystem and circular economy, focusing on five key clusters: the circular economy for eco-innovation and resource recovery, circular business models for fostering sustainable innovation in the bioeconomy, sustainability through renewable energy and sdgs, the sustainable business model for enhancing green innovation through entrepreneurship, and Artificial Intelligence (AI) and the circular business model in Industry 4.0. The bibliometric analysis identifies trends, research gaps, and collaboration patterns, revealing potential avenues for future exploration in industrial symbiosis, energy transition, and the system of innovation. The study analyzed only the documents available in Scopus. The exclusion of papers based on the search period, language, document type, and incomplete details are the limitations of this research and open the scope of potential future research. The findings will help existing researchers in this field as well as new researchers interested in this field by clearly understanding trends and further research scopes. The study also offers actional recommendations and practices to policymakers. Practices, and entrepreneurs for the attainment of global sustainability goals. The novelty and originality of this study rely on a thorough literature review that describes the state of the art in the innovation ecosystem and circular economy.

 

 

Biomass-based hydrogen production is an innovative approach for realizing carbon-neutral energy solutions. Despite their promise, both structures differ in terms of the biomass energy domain, which is at the entry point of the technology, and the hydrogen energy domain, which is at the exit point of the technology. In this study, we conducted structural and predictive analyses via cross-domain bibliometric analysis to clarify the differences in the structures and perspectives of researchers across domains and to suggest ways to strengthen collaboration to promote innovation. Our study revealed that the hydrogen energy domain has a balanced impact on realizing a hydrogen society using biomass-based hydrogen production technology, while the biomass energy domain has a strong interest in the process of processing biomass. The results reveal that different communities have different ideas about research, resulting in a divide in the areas to be achieved. This comparative analysis reveals the importance of synergistic progress through interdisciplinary efforts. By filling these gaps, our findings can lead to the development of a roadmap for future research and policy development in renewable energy and highlight the importance of a unified approach to sustainable hydrogen production. The contribution of this study is to provide evidence for the importance of cross-disciplinary cooperation for R&D directors and policy makers.

 

 

Seawater desalination (SWD) can partially mitigate the increasing freshwater needs globally. Although, SWD is multifaceted and involves processes with environmental and economic challenges, research is often analyzed through Literature Reviews (LRs) in specific contexts that may miss general trends. Bibliometric Analyzes (BAs), however, provide researchers with an overview through Co-occurrence Networks (CNs), Strategic Diagrams (SDs), Thematic Subnetworks (TSs), and Thematic Evolution Diagrams (TEDs). Nevertheless, their use in SWD research has been limited, with minimal attention given to them. Thus, we created a bibliometric dataset, compared it with other BAs, and developed CNs, SDs, TSs, and a TED for SWD. Furthermore, key term searches (Energy, Solar, Reverse Osmosis, Modeling and Optimization, Membrane Distillation, Environmental, Economics, Fouling, Nanofiltration, and Ultrafiltration) and their literature are discussed. Geographical analysis shows China and the US lead SWD research, shifting from process design to membrane fabrication and solar energy. Furthermore, RO remains the leading technique despite high energy demands. Solar desalination shows promise but faces cost and scalability challenges. Environmental and economic concerns are discussed, as well as emerging solutions regarding, solar desalination, blue energy, “blue carbon”, and zero liquid discharge. Research gaps include fouling effects and pretreatment incorporation in optimizations are also highlighted.

 

 

Sclerocarya birrea (A. Rich.) Hochst. is an African wild tree found in many countries across the continent. Its leaves, bark, root, and fruits are used in food, cosmetics, and traditional medicine. However, no systematic bibliometric review on S. birrea have been performed so far. This study covered publications made in 1986–2022 and investigated such bibliometric indicators as knowledge dynamics, links and structure, relevant journals, productive organizations, renowned authors, authoring patterns, national and international collaboration levels, etc. The bibliometric data on a total of 369 publications were downloaded from Scopus database and analy-zed using the MS-Excel and VOSViewer software. The Scopus publications on S. birrea showed a versatile range in the interdisciplinary areas of research, with agricultural and biological sciences predominating. The Republic of South Africa was responsible for the largest number of citations. All in all, 63 countries published research on S. birrea in the specified time period, and the share of African countries was 65.43% of the total global research. Co-authorship and international collaboration were registered for six clusters. A total of 1114 researchers and 160 institutions actively contributed to S. birrea studies, with 37 having a minimum of five publications. Mapping of knowledge structure using the keyword co-occurrence revealed the related research areas. The Journal of Ethnopharmacology took the lead in terms of average citation. The co-citation analysis revealed some remarkable dynamics in S. birrea research. This bibliometric study provides a complete insight into S. birrea research development and publication patterns over the last 36 years.

 

 

It is unknown to what extent leading researchers are currently involved in the leadership of leading research universities as presidents or as executive board members. The academic administrative leader (president or equivalent role) of each of the 146 Carnegie tier 1 USA universities and of any of the top-100 universities per Times Higher Education (THE) 2024 ranking and the members of the executive governing bodies (Board of Trustees, Council, Corporation or similar) for the each of the top-20 universities per THE 2024 ranking were examined for high citation impact in their scientific subfield. Highly-cited was defined as the top-2 % of a composite citation indicator (that considers citations, h-index, co-authorship adjusted hm-index and citations to papers as single, first, last authors) in their main scientific subfield based on career-long impact until end-2022 among all scholars focusing in the same subfield and having published ≥5 full papers. Very highly-cited was similarly defined as the top-0.2 %. Science was divided into 174 fields per Science-Metrix classification. 38/146 (26 %) tier 1 USA university leaders as of end-2023 were highly-cited and 5/146 (3 %) were very highly-cited. The respective figures for the top-100 THE 2024 universities globally were 43/100 and 12/100. For the 13 US universities among the top-20 of THE 2024, the probability of their leader being highly-cited was lower (6/13, 46 %) than the probability of a randomly chosen active full tenured professor from their faculty being highly-cited (52–77 %). Across 444 board members of 14 top-10 THE 2024 universities with data, only 65 (15 %) were academics, and 19 (4 %) were highly-cited; academics were rare in USA university boards. Board members had predominantly careers in for-profit companies. In conclusion, leading research universities have a dearth of leaders who are high-impact researchers.

 

 

Background and aims: As global demographics shift toward an older population, cognitive impairment is becoming increasingly critical. Transcranial Direct Current Stimulation (tDCS), an innovative brain stimulation technique, has the potential to significantly improve cognitive function. Our main aim is to comprehensively analyze the existing literature, identify key aspects of tDCS research in the rehabilitation of cognitive impairment, and predict future trends in this field. Methods: We used the Web of Science (WOS) database to search for English articles and reviews relevant to this topic. For visual analysis of the literature, we employed the WOS analysis tool, CiteSpace, along with VOSviewer software to ensure comprehensive analysis. Results: We included 2940 articles published between 1998 and 2023. Over 25 years, annual publications and citations in this field increased steadily, peaking at 379 articles in 2021. Michael A. Nitsche was a major contributor. Most articles came from developed countries, primarily North America and Europe, and journals generally had modest impact factors. Research in this field primarily aims to treat cognitive impairment resulting from pathological aging or neuropsychiatric disorders, with a particular focus on specific brain regions. Recently, researchers have integrated various treatment modalities with tDCS techniques to actively investigate effective strategies to mitigate cognitive impairments associated with pathological aging. Conclusion: This study presents the first bibliometric analysis of the literature on tDCS in the rehabilitation of cognitive impairment, highlighting key areas of research and emerging trends. These findings provide critical insights for future tDCS interventions targeting cognitive impairment associated with pathological aging.

 

 

Introducción: La desinformación es un desafío crítico para la comprensión social y las democracias, lo que ha impulsado iniciativas para abordar sus causas y soluciones. Metodología: La desinformación mediática, como un desafío crítico, ha impulsado un análisis bibliométrico de 41 tesis de postgrado en universidades peruanas. A través de un mapeo conceptual, se identificaron conceptos clave, categorías y relaciones. Resultados: Las tesis universitarias peruanas destacan que la desinformación mediática, especialmente en el ámbito digital y durante la pandemia, es un fenómeno complejo que afecta la percepción pública y la confianza en los medios. Enfatizan la importancia de un enfoque integral que incluya educación mediática y regulaciones para enfrentar la manipulación informativa y fortalecer la resiliencia social. Discusión: La desinformación mediática, intensificada en la era digital, ha distorsionado la realidad y socavados valores democráticos, generando polarización, radicalización y desconfianza en los medios, lo que ha impulsado acciones gubernamentales y estudios para abordar este desafío. Conclusiones: Las tesis universitarias han desglosado la desinformación, visibilizando el problema para inferir soluciones y políticas efectivas para su mitigación.