Artículos

Research Questions/Issue: In this bibliometric review of shareholder activism literature spanning 1983–2021, we pursue two objectives. Firstly, we investigate the degree of interdisciplinarity in the field, and second, we scrutinize publication trends, foundational knowledge, core topics, and emerging thematic trends, exploring the trajectory of shareholder activism research over time and providing a roadmap for future scholars. Research Findings/Insights: Systematic analysis of 1055 scholarly works reveals significant growth and a trend toward interdisciplinarity, though disciplinary silos persist. Shareholder activism is evolving beyond traditional, firm-level financial motivations to include sustainability-oriented goals, blending environmental, and social objectives with corporate governance concerns and financial interests. This shift signals broader engagement by diverse activist actors, strategies, and motivations, with a heightened emphasis on the long-term impact of shareholder activism. To capture this complexity, we advocate for research that emphasizes the intricate interrelationships among actors, objectives, strategies and outcomes, encouraging a redefinition of theoretical and methodological approaches. Theoretical/Academic Implications: Our analysis underscores the need for greater interdisciplinary engagement in shareholder activism research and highlights an expanding scope of topics, regions and theories. With growing scholarly interest in sustainability-oriented shareholder activism, jurisdictional nuances, and the emergence of new activist actors like index funds and individual investors, we anticipate continued theoretical and methodological diversity. Practitioner/Policy Implications: Policymakers and practitioners should adopt a holistic approach to shareholder activism, considering the multifaceted actors, objectives, and strategies involved. Evaluations of activist outcomes should account for both financial and non-financial impacts at the firm-, market-, and macro-levels.

The RSA (Rivest–Shamir–Adleman) cryptosystem is a widely used public-key cryptographic algorithm in information systems and computer applications. With the advancement of lattice theory, a technique known as the lattice-based method has emerged as a significant threat to RSA and its variants. This paper aims to conduct a bibliometric analysis of publications in the field of lattice-based attacks on RSA-type cryptosystems. The analysis is based on a dataset of relevant publications retrieved from Scopus and utilizes visualization tools such as CiteSpace and VOSviewer for a thorough overview. In order to understand the research developmental trajectory, we analyze the publication trends over the years, explore cooperation networks at various levels, including country/region, institution, and author, and assess the extent of collaboration, contribution, and productivity within the field. Additionally, author co-citation network and reference co-citation clustering are utilized to enable the identification of significant research achievements, cutting-edge developments, and structural framework. Furthermore, we conduct detailed analysis from a keyword perspective to identify research hotspots and emerging trends. The findings contribute to the existing body of knowledge on lattice-based cryptanalysis of RSA-type cryptosystems. Moreover, this bibliometric analysis serves as a valuable resource for identifying fruitful areas for further exploration and guides future research efforts.

This study explores the changing landscape of Open Banking-a financial services model where third-party providers get access through APIs to banking data for further innovation and customer experience improvements. The analysis is based on Scopus bibliographic data and relies on Biblioshiny and Citespace for the analysis of trends from 1999 to 2024. The main indicators analyzed include the dynamics of the annual scientific production, which increased after 2018 by a factor driven by regulatory frameworks such as PSD2. The main contributors are leading authors and sources, among them the Journal of Payments Strategy and Systems, while country-specific analyses definitely point out the UK, India, and China as major Open Banking research hubs. Thematic and trend analyses show that themes like data sharing, fintech, and API regulation are well-developed, whereas API security and risk management are still underexplored. Co-citation network visualizations depicted clear collaboration networks between countries and then between key authors. Factorial analysis further identified clusters of research related to technologically integrated themes, such as machine learning and blockchain. Key research gaps were identified in areas such as security and risk management, which are considered critical, with Open Banking’s continued expansion across the world. Practical implications include more robust API security frameworks and a deeper dive into the advanced technology-regulatory compliance link.

The olive oil supply chain generates a substantial number of by-products, presenting significant environmental, economic, and social challenges. However, these by-products, such as pomace, wastewater, and biomass, also offer valuable opportunities for implementing a circular economy (CE) model that enhances sustainability. Despite increasing attention to the valorization of these by-products, understanding of the indicators used to measure circularity in this context remains limited. This systematic review examined the existing literature on circular economy indicators employed to assess the use of by-products in the olive oil supply chain. The aim was to provide a comprehensive overview of the most suitable indicators in this sector, while identifying best practices for quantifying and monitoring progress towards a more circular system. The review followed the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines, and bibliometric analysis was conducted using CiteSpace 6.4 R1 software. The results highlighted a key indicator, the Material Circularity Indicator (MCI). Additionally, methodologies such as Life Cycle Assessment (LCA) and water footprint (WF) were evaluated, while challenges were identified, including the need for standardized metrics and improved data collection across the supply chain. This review provides valuable insights for both future research and policy decisions aimed at promoting sustainability and circularity in the olive oil industry.

Context: L-citrulline is a non-essential amino acid primarily sourced from watermelon (Citrullus vulgaris). Many studies on L-citrulline have been conducted in the past 10 years. However, no bibliometric analyses have been performed. Aims: To establish bibliometric analysis as a comprehensive review of L-citrulline literature. Methods: Articles on L-citrulline published between 2013 and 2022 were retrieved from the Scopus database. The data was then analyzed for trends and quantity descriptions of authors, countries, and journals. The Vosviewer software was used to visualize the networks of keywords. Results: The analysis was conducted on September 9, 2022. From 2013 to 2022, 563 papers were retrieved in total. The number of L-citrulline publications had increased dramatically. The United States appeared to be the leading nation, providing the greatest number of publications and involving the world’s leading writers and organizations. L-citrulline research has primarily concentrated on nitric oxide synthase, ergogenic aid, and exercise performance. Based on the analysis of keywords with the less frequent occurrence, this study also identified possible themes for future investigation, especially in topics such as ‘body composition’, ‘diabetic nephropathy’, ‘exercise capacity’, ‘human recombinant arginase I’, ‘lactate’, ‘lactation’, ‘microcirculation’, ‘reactive oxygen species’, ‘skeletal muscle’, ‘watermelon rind’ and ‘watermelon juice’. Conclusion: Publications on L-citrulline are essential, but the amount is still insufficient. Further research is required.

The aim of this study is to carry out an analysis of the intellectual structure of the introduction of AI into finance, in the period from 1995 to 2023, using SciMAT v.1.1.04 software. The results indicate how research on the incorporation of AI in finance has grown significantly, which shows the evolution and importance of this area of research. Eight main topics were obtained in this area: bank, prediction, impact, decision, valuesstock, genetic algorithm, big data analysis, and social data analysis. This study shows us how the incorporation of AI can strongly support the analysis of different financial situations such as decision making or the prediction of movements.

This study examines the trends in the literature about adopting digital banking in emerging economies. It is based on the concepts of digital transformation and technological adoption, which significantly impact the development of the banking industry. A quantitative approach was used through a bibliometric analysis using data from Scopus to achieve the objective. The search equation allowed 118 publications to be extracted and analyzed. The results show that digital banking in emerging countries is a growing field of research that has driven the introduction of new information technologies. The perceived usefulness of digital banking is a key factor in promoting its adoption in the market. Attributes such as security and trust were identified as affecting the level of user satisfaction. Most studies are based on technological adoption, where perceived risk, usefulness, and ease of use are key to understanding the intention to use these technologies. Some countries’ concerns about financial inclusion, cyber security, and trust in financial technology are evident. While digital banking has the potential to increase the coverage of financial services, there are concerns about cybersecurity risks and user data protection.

The study focuses on analyzing the impact of corporate social responsibility (CSR) on economic growth and reducing inequality, highlighting the importance of CSR in achieving sustainable development and social justice. The main aim is to analyze how different CSR initiatives contribute to economic development, social prosperity, and the reduction in inequality by reviewing the methods used to assess their impact. The research methodology includes a detailed literature review, bibliometric analysis and scientific mapping, surveys of various business organizations, and a gap analysis regarding the identification of gaps between the current state of CSR activities and the expected outcomes. The research shows that companies perceive CSR as a key tool for improving corporate image, responding to stakeholder expectations, and investing in social justice. Despite positive intentions, challenges include the lack of clearly defined methodologies for measuring the impact on economic inequality, as well as difficulties in assessing the long-term effects of CSR initiatives. Key conclusions highlight the need for more structured approaches to assessing the social and economic effects of CSR, recommending that companies improve their transparency and accountability and implement clear indicators of success to achieve sustainable economic and social outcomes.

The global economy has undergone a digital transformation that is now essential for sustainable business success, with COVID-19 significantly accelerating this trend. Organizations have been compelled to adopt digital technologies to remain competitive in an increasingly demanding market. In Spain, the social economy sector has also embraced digitalization, supported by specific funding; however, social economy enterprises often struggle due to limited resources, hindering their ability to fully leverage digital advancements. The social economy includes organizations focused on social rather than financial objectives, characterized by democratic governance and efforts to address local social and economic challenges. This sector has seen the rise of social entrepreneurship initiatives aimed at tackling societal issues through sustainable and responsible business practices. Social entrepreneurship thus combines social and economic value creation, supporting social inclusion and sustainable development. This paper aims to assess the current literature on sustainable digitalization, the social economy, and social entrepreneurship through a bibliometric study, identifying key trends and areas of interest. Furthermore, it examines how digitalization is integrated within the business models of social economy enterprises. The study finds that while digitalization promotes innovation and sustainability in the social economy, organizations face challenges like limited resources and digital skills gaps. This hinders competitiveness. The research calls for tailored policies to address sector-specific needs and suggests further exploration of emerging technologies, such as artificial intelligence and big data, insocial enterprises.

Collaboration in science is important because it can lead to efficient knowledge exchange and grow scientific understanding. Examining the nature of co-authorship on reports and peer- reviewed papers can give insight into aspects of science collaboration. Here we examine the bibliographic networks of scientists who provide the scientific basis for Australian fisheries decision making using the methods of stock assessment. We focus on Australian stock assessments and determine co-author clustering around organisation, geolocation, and fished species. For the peer- reviewed literature there is evidence of clustering around a few individual authors characterised by their large number of publications and their relatively frequent first authorship. These stock assessment networks are vulnerable because knowledge exchange may be constrained by repeat collaboration with the same central co-authors who are mostly from the same organisation, leading to siloing. However, this does not mean the stock assessments are necessarily wrong. We also find that network connectedness is highly influenced by a few papers that have a higher-than-average number of co-authors, many of which involve “one-off” authors. This study highlights the need for increased and diversified collaboration, facilitation of interactions, and greater information sharing, among stock assessment scientists who provide the scientific basis for fisheries decision making. This needs to be balanced against the capacity of the available pool of stock assessment scientists.