Artículos

Since the beginning of the research on the family business and rural economy, there has been a problem with the delimitation of the concepts. Given this problem, this study’s main objective was to identify and visualize the intellectual structure of these two issues through scientific maps. To meet this objective, an evaluation of scientific performance and production was carried out with bibliometric indicators to extract the main research topics around these two areas through an analysis of the co-occurrence of keywords with scientific maps. The results show that research on family businesses and rural economy is booming, especially on family businesses that have higher productivity and performance. Regarding the main topics studied regarding family businesses and the rural economy, a total of 16 main themes were detected, highlighting the topic of entrepreneurship. The study of land management in transboundary environments is a potential line of future research.

Solid-state batteries (SSBs) offer significant improvements in safety, energy density, and cycle life over conventional lithium-ion batteries, with promising applications in electric vehicles and grid storage due to their non-flammable electrolytes and high-capacity lithium metal anodes. However, challenges such as interfacial resistance, low ionic conductivity, and manufacturing scalability hinder their commercial viability. This study conducts a comprehensive scientometric analysis, examining 131 peer-reviewed SSB research articles from IEEE Xplore and Web of Science databases to identify key thematic areas and bibliometric patterns driving SSB advancements. Through a detailed analysis of thematic keywords and publication trends, this study uniquely identifies innovations in high-ionic-conductivity solid electrolytes and advanced cathode materials, providing actionable insights into the persistent challenges of interfacial engineering and scalable production, which are critical to SSB commercialization. The findings offer a roadmap for targeted research and strategic investments by researchers and industry stakeholders, addressing gaps in long-term stability, scalable production, and high-performance interface optimization that are currently hindering widespread SSB adoption. The study reveals key advances in electrolyte interface stability and ion transport mechanisms, identifying how solid-state electrolyte modifications and cathode coating methods improve charge cycling and reduce dendrite formation, particularly for high-energy-density applications. By mapping publication growth and clustering research themes, this study highlights high-impact areas such as cycling stability and ionic conductivity. The insights from this analysis guide researchers toward impactful areas, such as electrolyte optimization and scalable production, and provide industry leaders with strategies for accelerating SSB commercialization to extend electric vehicle range, enhance grid storage, and improve overall energy efficiency.

The marketing technology ecosystem is rapidly evolving, integrating digital tools and platforms to transform marketing practices. This study analyses this dynamic and diverse field, addressing research trends, theoretical foundations and future directions. This research uses a multimethod approach combining bibliometric analysis, systematic literature review and content analysis. The study analyzed 144 articles from 2017 to 2024, using the theory, context, characteristics and method (TCCM) framework to structure the findings. Key research themes include artificial intelligence (AI), blockchain, digital marketing and customer experience. Journals like Industrial Marketing Management dominate the field, with the United States and the United Kingdom (UK) leading in publications; theoretical foundations focus on service-dominant logic (SDL), digital transformation, and ecosystem perspectives. Commonly used theories include technology acceptance models and dynamic capabilities, applied across various industries and digital platforms. Research methods range from quantitative surveys to qualitative case studies and emerging AI-driven analytics. The study highlights the field’s rapid evolution and diverse, interdisciplinary nature, combining various perspectives and expertise. Exciting future research directions include integrating emerging technologies, exploring sustainability and ethical implications, and developing more sophisticated, multimethod approaches to capture the complexity of marketing technology ecosystems.

Objective: To characterize the articles published in the Finlay journal during the period between 2011 and 2022. Materials and methods: An observational, descriptive, bibliometric study was carried out on the articles published in the Finlay journal. The universe consisted of 525 articles. Sampling techniques were not used. The analyzed variables were number of articles, year of publication, number of authors, origin of the authors, type of article, main theme of the articles, type of study, number of references, number of 5-year-old references, number of citations per article and number of citations received by the journal per year. A descriptive statistics and bibliometrics were used. Results: The year 2021 stood out with 60 research works (11.38 %). Articles with three authors prevailed (155; 29.52 %), Cienfuegos stood out with 1,074 authors (59.40 %) and original articles (OA) predominated (243; 46.28 %). Images in medicine (IM) had the highest Price’s Index (0.80). Among the OA, research works with an observational-descriptive approach prevailed (225 published articles, which accounted for 92.59 % out of the total number of OA). Research related to cardiovascular diseases predominated (116; 22.09 %). A total of 4,870 citations were received, most of them from 2017, with a number of corrected citations (NCC) of 38.3. Meanwhile, the year 2020 had an impact factor (IF) of 3.27. Conclusions: The Finlay journal is a scientific body for the dissemination of research results with extensive achievements and experiences in editorial management. Its growth has been exponential in terms of the number of articles published, prevailing the year 2021. Its issues include research works that show the collaboration between national and foreign authors, highlighting the results of the Cienfuegos province’s researchers. In this regard, the topics focus on health problems that are included in the sector’s priority health programs, based on original research to a greater extent and coupled with a higher number of citations received especially in 2017.

The need for sophisticated traceability systems has become essential in increasingly complex and globalized supply chains. The convergence of Blockchain (BC), Internet of Things (IoT), and Artificial Intelligence (AI) technologies offers promising solutions to enhance traceability systems across various sectors, particularly supply chain management (SCM). This paper presents a comprehensive bibliometric and systematic literature review to explore emerging trends, research patterns, and methodologies in integrating BC, IoT, and AI into traceability systems. In the study, 530 documents from the SCOPUS database for bibliometric analysis were examined, alongside a detailed review of 43 selected articles from multiple databases. The findings highlighted a significant increase in research output in recent years, with a dominant focus on agricultural supply chains and SCM. Notably, India and China lead the field in publications and citations. Furthermore, key authors and influential journals significantly contributed to advancing the research. The analysis also revealed a predominance of experimental and hybrid research methodologies, with Ethereum and Hyperledger Fabric emerging as the most widely adopted platforms for system implementations. The study identified critical research trends, including the growing role of AI-driven analytics, the importance of real-time IoT data collection, and the critical need for secure, tamper-proof data provided by BC. However, challenges, such as interoperability, scalability, and standardization, remain hindering the widespread adoption of these technologies. The paper proposes a four-layer conceptual framework for integrating BC, IoT, and AI into future traceability systems, emphasizing their potential to enhance transparency, security, and efficiency across various application areas. The paper concludes by offering directions for future research, highlighting the need for more empirical studies, industry-specific frameworks, and standardization to overcome existing limitations.

High entropy ceramics (HECs) represent a novel class of materials characterized by their unique multi-principal element compositions and exceptional properties. This study investigates the mechanical and thermal properties of high entropy ceramics through a comprehensive bibliometric analysis of 395 Scopus-indexed articles. Biblioshiny, VOSviewer and Gephi software are used to analyze different data linked with these articles. Data from abstracts are analyzed to identify properties like thermal conductivity, hardness, fracture toughness, etc Computer vision has been applied in data extraction and property characterization of HEC. Investigation reveals significant insights into the co-occurrence of keywords related to various mechanical properties, such as fracture toughness and compressive strength, alongside thermal characteristics like thermal conductivity. Visualizing these relationships highlights research clusters and identifies gaps in the current literature, paving the way for future exploration in this promising field.

This study conducts a bibliometric analysis of academic papers and conference proceedings related to tablet dispensers, medicine dispensers, and pill dispensers within the framework of Sustainable Development Goal 03: Good Health and Well-Being. The analysis spans literature published between 1997 and 2023. Utilizing the Web of Science database, the study employs keywords such as “tablet dispenser,” “medicine dispenser,” and “pill dispenser” to gather relevant English-language papers classified as Proceeding Papers or Articles. The inclusion and exclusion criteria filtered 79 initial records down to 40, focusing on articles pertinent to SDG 03. Data analysis was performed using the Biblioshiny App through RStudio, examining publication trends, authorship patterns, citation networks, and other bibliometric indicators. The findings reveal a steady increase in research output, moderate citation impact, extensive references, and collaborative authorship, with limited international collaboration. The study underscores the growing interest and research activity in robotic tablet dispensing machines for elderly care while highlighting areas for further global engagement.

Since it was released in November 2022, ChatGPT has been exerting revolutionary influence on the realm of higher education. In order to obtain a comprehensive understanding of the research landscape, we conduct a systematic literature review on the studies of ChatGPT used in higher education. Both quantitative and qualitative methods were adopted to bibliometrically examine the included literature selected from Web of Science and Scopus through the PRISMA protocol. Tools of VOSviewer and CitNetExplorer were employed to visualize the citation information. Our findings showed that the recent two years witnessed an ever-growing popularity of this research theme. Citation information analysis reveals the most influential authors, countries, sources, organizations and four focused topics. The disciplinary distribution of related research indicates a wide range of categories. More importantly, ChatGPT was found to be versatile in assisting teachers, students and researchers with a variety of tasks, and the factors influencing the acceptance of this technology among college students could be investigated through models like TAM, UTAUT and their extensions. We suggest future studies to focus on the ways to address the limitations and ethical issues of ChatGPT through AI literacy cultivation and joint efforts of all stakeholders.

Branding has emerged as a multidiscipline with complication, conveyed by integrated digital technologies, AI, and rich linguistic approaches. This paper depicts the research landscape at the juncture of branding and linguistics, supported by VOSviewer, Biblioshiny, and CiteSpace in pinpointing key trends, themes, and collaboration networks. Drawing on data collected from Scopus, this study investigates the shifts in traditional branding strategies caused by technologies of machine learning, sentiment analysis, and social media platforms. It highlights the contributions made by leading authors, major publication sources, and patterns of international collaboration in influential works. Finally, thematic and co-occurrence analysis shows significant movement into data-based and computational approaches. This also points out some research gaps in the field of digital branding’s long-term effects, ethical considerations of AI-photo strategies, and multilingual branding approaches that provide a useful basis for future research and practical application innovation in the field of branding. © 2025, Econjournals.

The digital technologies are transforming the financial markets and may prove to be a game-changer in terms of attaining SDG objectives over time. As a result, UN agencies have begun to prioritize the utilization of the digital revolution to advance SDGs. There is a growing body of literature on the use of digital money to achieve sustainability objectives. As businesses commit to protecting the environment, natural systems, and society, consumer eco-awareness has elevated the importance of the issue in the field of sustainable digital finance. The rationale behind this study is to unify the fragmented literature on digital money and to present a clear conceptual framework for sustainable digital finance in order to advance sustainability goals. Specifically, the study aims to investigate the evolution of sustainable digital finance through analyzing publication and citation trends, developing an author-country-keyword framework, and exploring the significant themes and subjects emerging from the field of sustainable digital finance. Additionally, the study examines ongoing shifts in the digital finance sector and the digital sustainable revolution, which can help us harness technology for social good (Grand Challenge: social work) and move closer to achieving sustainable development goals. We employ a two-tiered analytic strategy, comprising of bibliometric analysis and an integrated literature evaluation of 168 publications from the Web of Science database. In addition to descriptive and thematic analysis, the findings provide us with seven relevant themes (financial involvement and participation, sustainable financial development, green finance, digital venture capital, fintech, financial performance, and digital strategy) and four prominent aggregate dimensions (digital financial inclusion, digital sustainable revolution, digital financial transformation, and harness technology for social good), which will be included in the conceptual framework for future research endeavors. The paper concludes with the policy implications of the findings.