Artículos

This article analyzes the scientific production on public administration in Latin America. The search was conducted in three databases: Scopus, Web of Science and Dimensions, covering only the period between 2012 and 2022. An exploratory-descriptive bibliometric approach was used to identify the main theoretical innovations, debates, and trends in the field. The information collecting process was supported by the Luis Echavarría Villegas Cultural Center Library at EAFIT University and was carried out in three stages: definition parameters and search criteria, selection of databases and systematization of information. The category most studied in documents is e-government, and there is evidence of an increase in the number of documents produced during the COVID-19 pandemic. The most productive authors are affiliated with institutions in Spain, and the journals with the highest production are associated with institutions in Spain, Brazil and Venezuela. Additionally, it was found that the predominant language of publication is English and gender issues have limited presence in the current literature.

Purpose: To identify how Business Administration has evolved in the context of global business through a bibliometric analysis. Methodology: The Scopus database was utilized to examine 1515 documents focused on the fields of Business, Administration, Economics, Econometrics, Finance, Social Sciences, and Multidisciplinary Studies, employing techniques such as citation network analysis, bibliographic coupling, and conceptual structure analysis of the selected documents. Findings: Thematic clusters proposed include: Economic dynamics and the global market; management and sustainable business development; digital transformation and efficiency in global business; comprehensive risk management and assessment; integrated business management and innovation; global marketing and strategic management, and human-centered approaches in international cooperation. Practical implications: Globalization has significantly influenced the production and dissemination of knowledge in Business Administration. Originality: Each thematic cluster presented serves as foundation for research lines in business schools as well as strategic alternatives for companies seeking to expand their business models to global markets.

Researchers, organizations, and policymakers have underlined the necessity of innovation for sustained economic growth. Few studies have applied bibliometric analysis to the term innovative culture”. This bibliometric study aims to evaluate the global trend in “innovative culture” by analyzing related publications in the Scopus database. The bibliometric map was analyzed utilizing VOS Viewer 1.6.19. The research employed Scopus as the primary database to extract relevant articles. Nevertheless, relevant literature from other databases has not been included. Scopus assessed 1,224 academic articles from 1972 to 2023. The United States and China lead “innovat* culture” research. The co-authorship analysis discovered that the United States had the most international collaboration. The analysis of author’s keywords indicated that “developing countries” and “product innovation” were important directions for studying innovative culture. Further studies are recommended to address this potential limitation. This paper offers implications and insights for the related field, guiding future research toward effectively investigating innovative culture.

Research is a mandatory and essential function of the university. The study analyses the behaviour of some bibliometric indicators of the scientific production Scopus 2019–2023 of the 19 Peruvian Non-Institutionalised Universities with Organising Commission. For 2023, 1746 documents indexed in Scopus were found. There is evidence of an increase in publications in social sciences, agricultural and biological sciences, engineering, informatics and computing, and environmental sciences. The variety of documents published, the level of publication in English, the H indexes of scientific journals and publication by quartiles, the number of qualified research professors in the Peruvian national science and technology system and the areas of publication are identified. Between 2022–2023, the level of publication in Scopus and the number of qualified teachers has increased significantly in this group of universities; however, the level of publication is well below that of institutionalized universities.

The emergence of COVID-19 has boosted internal communication as a central axis in the corporate environment, establishing itself as a key trend in 2024. This article examines the evolution and impact of internal communication in the business world since the appearance of the mentioned virus, with an analysis of selected publications in the months following the pandemic until the present in Scopus and the Web of Science. Through this study, the importance of internal communication in promoting well-being and effective leadership is highlighted, as well as its impact on transforming work practices and corporate culture, offering a detailed understanding of its benefits and added value for both organizations and employees.

The global transition to sustainable energy systems has placed the use of electric vehicles (EVs) among the areas that might contribute to reducing carbon emissions and optimizing energy usage. This paper presents a bibliometric analysis of the interconnected domains of EVs, artificial intelligence (AI), machine learning (ML), and deep learning (DL), revealing a significant annual growth rate of 56.4% in research activity. Key findings include the identification of influential journals, authors, countries, and collaborative networks that have driven advancements in this domain. This study highlights emerging trends, such as the integration of renewable energy sources, vehicle-to-grid (V2G) schemes, and the application of AI in EV battery optimization, charging infrastructure, and energy consumption prediction. The analysis also uncovers challenges in addressing information security concerns. By reviewing the top-cited papers, this research underlines the transformative potential of AI-driven solutions in enhancing EV performance and scalability. The results of this study can be useful for practitioners, academics, and policymakers.

Silicon (Si) is a promising anode material for the next generation of lithium-ion batteries (LiBs) due to its high theoretical capacity. However, Si undergoes a significant volumetric expansion during lithiation, leading to cracking, pulverization, and poor long-term electrochemical performance. To tackle these challenges, numerous strategies have been proposed, resulting in a rapidly expanding and diverse field of research. Despite this surge in Si-related studies, a comprehensive quantitative analysis of the literature on Si anode applications in LiBs has not been thoroughly examined yet. This study aims to bridge this gap through a bibliometric analysis with the objective of providing insights into key research themes, trends over time, emerging topics, and future research directions. Furthermore, it highlights prolific authors, organizations, countries, and foundational works in this area, offering a valuable reference for inclined researchers. For this purpose, a dataset of 4508 publications from 1970 to 2024 was retrieved from the Web of Science and analyzed to identify trends in leading journals, publication outputs, disciplines, and collaborations. The analysis shows that 2005–2014 was a “golden period” of substantial innovation, while more recent work reflects incremental yet interdisciplinary advancements. Notably, the collaboration network among prolific authors was found to be relatively weak, with the majority of the authors having only two or fewer connections. In contrast, strong collaboration was observed among leading institutions in the field. A thorough keyword analysis revealed that the research focus over the years can be categorized into three main themes: (1) electrochemical performance, (2) nanostructures and composite electrodes, and (3) electrochemical processes and mechanisms. Additionally, recently emerging topics include understanding the mechanisms of Si anodes and improving their performance through novel binders, pre-lithiation strategies, and advanced electrolytes. This study quantitatively analyzes for the first time the development of Si anodes for LiBs, offering an invaluable reference for researchers looking to engage in and contribute to this field.

Mapping of innovation (MOI) emerges as an essential tool for visualizing internal and external innovation prospects in the current business environment. This study employs a bibliometric approach to analyze the development, significance, and evolution of mapping of innovation at the business level through 241 publications indexed in Web of Science between 1985 and 2023. The research identifies 61 MOI techniques, such as costumer journey map, stakeholder map, and cognitive map. These techniques were categorized into six groups, including network approaches, geographical approaches, strategic tools, statistical and mathematical models, diagramming techniques, and descriptive methods. Having a comprehensive framework of MOI techniques will enable the delivery of effective and tailored solutions to companies that wish to map their innovation. At the cluster level, the mapping of the improvement of business models, co-creation processes, and product design are the most embraced factors both scientifically and by businesses. This research links MOI scientific production with business needs and interests. At the individual theme level, artificial intelligence, business models, entrepreneurship, and sustainability are highlighted for their practical relevance to current business needs and interests. Although research on MOI primarily focuses on developed economies such as the United States and Western Europe, it plays a significant role in driving entrepreneurship, social innovation, frugal solutions, and reverse innovation in developing economies. To the best of our knowledge, this is one of the first comprehensive attempts to integrate mapping of innovation techniques, linking them to both business and academic enhancement, including developing countries, and highlighting emerging themes.

This study presents a bibliometric analysis of artificial intelligence (AI) in digital image processing (DIP), analyzing 1063 publications from the Scopus database from 1998 to 2023. The field has seen significant growth, with an average annual growth rate of 16.24%, accelerating sharply between 2020 and 2023. The analysis emphasizes AI’s growing influence in healthcare and real-time image processing. China leads in publication volume, while the USA dominates in citation impact, underscoring the global and collaborative nature of AI-DIP research. Key institutions like the University of California and Tsinghua University, along with authors such as U. Rajendra Acharya, have made significant contributions to AI-driven healthcare diagnostics, highlighting the importance of interdisciplinary collaboration. High-impact journals, including IEEE Transactions on Medical Imaging, play a crucial role in advancing the field. However, this study relied on a targeted keyword search in Scopus, which may not capture all relevant research, particularly those using alternative terminologies or broader AI classifications. Additionally, challenges related to data privacy, bias, and transparency persist. Addressing these issues will be critical for the responsible development and application of AI-DIP technologies. This study offers valuable insights for future research and highlights key areas for continued exploration.

Over the past decade, Deep Learning (DL) techniques have demonstrated remarkable advancements across various domains, driving their widespread adoption. Particularly in medical image analysis, DL received greater attention for tasks like image segmentation, object detection, and classification. This paper provides an overview of DL-based object recognition in medical images, exploring recent methods and emphasizing different imaging techniques and anatomical applications. Utilizing a meticulous quantitative and qualitative analysis following PRISMA guidelines, we examined publications based on citation rates to explore into the utilization of DL-based object detectors across imaging modalities and anatomical domains. Our findings reveal a consistent rise in the utilization of DL-based object detection models, indicating unexploited potential in medical image analysis. Predominantly within Medicine and Computer Science domains, research in this area is most active in the US, China, and Japan. Notably, DL-based object detection methods have gotten significant interest across diverse medical imaging modalities and anatomical domains. These methods have been applied to a range of techniques including CR scans, pathology images, and endoscopic imaging, showcasing their adaptability. Moreover, diverse anatomical applications, particularly in digital pathology and microscopy, have been explored. The analysis underscores the presence of varied datasets, often with significant discrepancies in size, with a notable percentage being labeled as private or internal, and with prospective studies in this field remaining scarce. Our review of existing trends in DL-based object detection in medical images offers insights for future research directions. The continuous evolution of DL algorithms highlighted in the literature underscores the dynamic nature of this field, emphasizing the need for ongoing research and fitted optimization for specific applications.

In the face of global competition, it is imperative to conduct research on organizational identification in order to maximize employee commitment and organizational loyalty. Understanding how employees identify with their organizations can lead to improved productivity and retention rates. Organizational identification (OI) refers to an individual’s cognitive and affective connection to an organization. It exerts a significant impact on employee attitudes, behaviors, and job performance. It indicates an employee’s emotional bond, connectivity, and recognition with their company. This study aims to examine the impact of OI using bibliometric analysis and a literature review. Despite the topic’s wide use and coverage, the literature lacks quantitative data for bibliographic element analysis, making this study unique. This research fills that knowledge gap. We selected 227 research publications from the ABDC’s 2022 Quality Journals list, with A*, A, and B category journals for 2013 and 2022. The research methodologies employed encompassed trend analysis, scientific mapping, bibliographic coupling, co-occurrence analysis, and so on. Also, this study provides in-depth thematic analysis, content analysis, and a theoretical framework that contributes to the originality of the research. Our research findings offer bibliographic insights that enhance the study of literature. The study found that top journals are more interested in this topic. “Journal of Business Ethics” is very productive, whereas “Academy of Management Journal” holds the most influence. The study also highlights research gaps through quantitative and qualitative research. The study concluded by proposing further investigation and examining the consequences of its findings.

Comprehensive clinical documentation is crucial for effective healthcare delivery, yet it poses a significant burden on healthcare professionals, leading to burnout, increased medical errors, and compromised patient safety. This paper explores the potential of generative AI (Artificial Intelligence) to streamline the clinical documentation process, specifically focusing on generating SOAP (Subjective, Objective, Assessment, Plan) and BIRP (Behavior, Intervention, Response, Plan) notes. We present a case study demonstrating the application of natural language processing (NLP) and automatic speech recognition (ASR) technologies to transcribe patient-clinician interactions, coupled with advanced prompting techniques to generate draft clinical notes using large language models (LLMs). The study highlights the benefits of this approach, including time savings, improved documentation quality, and enhanced patient-centered care. Additionally, we discuss ethical considerations, such as maintaining patient confidentiality and addressing model biases, underscoring the need for responsible deployment of generative AI in healthcare settings. The findings suggest that generative AI has the potential to revolutionize clinical documentation practices, alleviating administrative burdens and enabling healthcare professionals to focus more on direct patient care.

Hybrid modeling in bioprocess engineering has emerged as a promising approach to strengthen process system engineering applications. However, understanding evolution of the field structure is a challenge. To address this gap, we conducted a comprehensive bibliometric analysis of the field. This study aims to assess publications metadata quantitatively and qualitatively to map the research landscape. Through a systematic review of Scopus and Web of Science databases, 360 contributions have been identified within chemical or biochemical engineering. Using Bibliometrix®, Tree of Science®, VantagePoint®, VOSViewer®, and Python, metadata was analyzed and visualized, revealing “hybrid model” and “neural networks” are the central keywords on the field, with notable contributions from countries like Portugal and the United States of America. Thematic analysis unveiled three clusters: one dealing with control applications and other two that combine machine learning terminology with bioprocesses concepts. Furthermore, the field exhibits a high level of collaboration, with leading researchers such as Rui Oliveira and Moritz von Stosch making significant contributions. Based on these findings, insights into the research trends and future directions are presented.

The present research started from the premise that although there is a long history of studying the four concepts independently and the relationships between various combinations of them, in terms of a unitary holistic approach, there is still an uncovered need in terms of empirical research. Therefore, the purpose of the bibliometric analysis, that is the subject of this chapter, is to provide a suggestive picture of the landscape created by academic papers published in the last half century on this topic. The bibliometric analysis allowed for the highlighting, from a quantitative perspective, the publication patterns and the main trends in the study of the relations between “environment”, “structure”, “strategy”, and “performances”. Although this type of analysis is based only on a collection of bibliometric data, not including the analysis of the actual content of the work, some useful conclusions could be highlighted which could guide the future course of the research.

Multiple science policy initiatives in recent years have encouraged interaction between academic and non-academic actors as a way of aligning research priorities with societal challenges. Academic engagement, defined as scientists’ knowledge-related interactions with non-academics, is recognised as crucial for promoting technological development and effectively addressing societal issues. However, whether such interactions stimulate or compromise fundamental scientific advances remains an open question. This paper contributes to the debate by exploring the extent to which academic engagement increases the production of cutting-edge research. We examine the relationship between scientists’ interactions with non-academic actors and the production of high-impact research, using bibliometric indicators and primary data from a large-scale survey of scientists in all scientific fields affiliated with Spanish universities and public research organisations. Our results suggest an overall positive relationship between scientists’ interaction with non-academic actors and the production of research findings with high scientific impact. We show, also, that this positive association is contingent on (i) the specific mode of interaction and (ii) the scientists’ previous scientific achievements. We find that modes of interaction that facilitate knowledge exchange and cooperation are particularly conducive to the publication of cutting-edge research, compared to unidirectional forms of knowledge exchange, and that renowned and reputable scientists are the best positioned to leverage the opportunities offered by partnerships with non-academic actors.

The aim of this paper is to analyse the latest research using a systematic review of the literature and a bibliographic mapping in order to identify the competencies that a gastronomic entrepreneur should possess in order to be effective and achieve success in their business. To this end, a review of the literature is carried out through the most relevant topics, main authors and journals, and to visualise their interrelations. The results show that gastronomic management requires the acquisition of knowledge, competences and skills from a multidisciplinary perspective, specifically differentiating between the needed training competences to be a good gastronomic manager, and those that are acquired and developed during the work in the industry premises. A bibliometric mapping of the publications indexed in WoS and Scopus was conducted using VOSviewer software. During the search process, 178 references for a search period from 2014 to 2023 were obtained. Based on co-occurrence frequencies of key terms, our term map provides a visual representation of the latest research in the Gastronomic Entrepreneur’s Competencies (GEC). This study contributes to the literature on gastronomy entrepreneurship research and its findings may be useful for gastronomic entrepreneurs, researchers, food business leaders and decision-makers in this sector.

This paper presents a comprehensive bibliometric review of the scientific literature on women’s entrepreneurship in agriculture across developed and developing countries. The paper delineates the evolving landscape, challenges, and opportunities that shape women’s entrepreneurship experiences in agriculture in the contexts of developed and developing countries. Through a detailed bibliometric analysis of 728 papers from 1992 to 2022, employing performance analysis and science mapping, our methodology distinguishes itself by quantifying contributions and mapping the thematic evolution within this domain. Our study reveals the significant contributions of women entrepreneurs to agricultural innovation, sustainability, and rural development while facing systemic biases, limited access to resources, and societal stereotypes that hinder their entrepreneurial path. The paper underscores the disparity in women’s entrepreneurship between developed and developing regions, with developed countries showcasing lower participation rates in agricultural entrepreneurship but a higher presence in decision-making roles within agribusinesses. In contrast, developing countries display a higher engagement of women in entrepreneurship, driven by necessity and marked by significant contributions to food security and economic stability, though under challenging conditions. Notably, the paper highlights the underrepresentation of women’s agricultural endeavours in scholarly research, pointing to a gap in the documentation and understanding of their contributions. The study reveals emerging themes such as digital agriculture, climate resilience, sustainability, and innovation, pointing towards future research directions that could further empower women in agriculture. It calls for more inclusive research and policy-making to recognise and support women’s vital role in agriculture, advocating for a holistic approach to address women entrepreneurs’ challenges in different economic contexts. Through this analysis, the paper contributes to a deeper understanding of gender dynamics in agricultural entrepreneurship and suggests pathways for fostering more equitable and sustainable agricultural practices.

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.

The steady increase in academic production has been paralleled by a surge in the number of bibliometric and systematic literature reviews (SLRs) published. Over the years, scholars began to combine bibliometric analyses with SLRs. However, such combined approaches relied on fragmented methodological suggestions without clear guiding frameworks. This article introduces integrated guidelines for undertaking multi-method literature reviews, combining bibliometric analyses with SLRs and theory development, which we call ‘Bibliometric-Systematic Literature Review’ (B-SLR). In doing so, we develop a 10-step process on how to apply the B-SLR. In each of the proposed steps, we discuss critical decisions and best practices to support researchers while crafting meaningful and theoretically relevant literature reviews. The B-SLR is intended as a flexible toolbox designed to accommodate diverse research objectives in the miner–prospector continuum, spanning from reviewing, theorising, tracing future roadmaps or creating bridges among different topics. The B-SLR incorporates the pillars of critical analysis, timeliness, coverage, rigour, coherence and originality of contribution, also emphasising the need for a novel and relevant theoretical contribution. The B-SLR is supported by a companion website, providing additional resources to assist researchers in this 10-step process: https://www.b-slr.org.

Using the bibliometric software VOSviewer® version 1.6.20 and Scopus as a bibliographic database, this paper aims to investigate the research streams in terms of the co-occurrence network of authors, terms extracted from the title field, countries, keywords, and organizations researching on IM from publications between 1974 and 2024. Retrieved from Scopus and using science mapping bibliometric techniques with VOSviewer®, 4756 documents published on IM from 1974 to 2024 were analyzed, divided in three phases (1974–1995, 1996–2019, and 2020–2024), and limited to BMA (Business, Management, and Accounting), EEF (Economics, Econometrics, and Finance), and SOC (Social Sciences). The main findings are as follows: (a) there is a tendency for a minimal relationship between authors from different organizations and countries to collaborate in research on IM; (b) almost half (45.12%) of the publications on IM were published by authors from the European Union, which rises to 55.24% in Europe if the United Kingdom is included. These results are far ahead of those of the United States (13.4%), China (7.6%), the Russian Federation (3.6%), and Japan (2.3%). (c) While the first publications on IM deal with aspects related to product development, management, technology, R&D, and competition, there is a recent trend to link IM to sustainable development, open innovation, ecosystems, stakeholders’ engagement, and entrepreneurship.

Bibliometric analysis has recently become a popular and rigorous technique used for exploring and analyzing the literature in business and management. Prior studies principally focused on ‘how to do bibliometric analysis’, presenting an overview of the bibliometric methodology along with various techniques and step-by-step guidelines that can be relied on to rigorously conduct bibliometric analysis. However, the current body of evidence is limited in its ability to provide practical knowledge that can enhance the design and performance of bibliometric research. This claim is supported even by the fact that relevant studies refer to their work as ‘bibliometric analysis’ rather than ‘bibliometric research’. Accordingly, we endeavor to offer a more functional framework for researchers who wish to design/conduct bibliometric research on any field of research, especially business and management. To do this, we followed a twofold way. We first outlined the main stages and steps of typical bibliometric research. Then, we proposed a comprehensive framework for specifying how to design/conduct the research and under what headings the relevant stages (step-by-step) will be used and/or presented. Thus, the current paper is expected to be a useful source to gain insights into the available techniques and guide researchers in designing/conducting bibliometric research.

Journal of management & organization (JMO), which started its publication life in 1995, publishes scientific studies in the field of management and organization. This research aims to make a bibliometric analysis of 780 documents published since 2007 when JMO first started indexing in WoS. Research data were taken from the Web of Science database in plaintext format. The journal’s conceptual, intellectual, and social structure was revealed by applying techniques such as co-citation, co-authoring, and co-creation through the Vosviewer software. When the research results are examined, it is seen that there is an increasing trend in the number of citations after 2007, when JMO started to be indexed in the WoS database. Research findings show that 1516 authors contributed to the JMO, with “Tui Mckeown” being the most prolific author with fifteen documents. A total of 651 universities contributed to the JMO during the period under review. The top contributing university is Griffth University, with 38 papers. The country that has contributed the most to the JMO since 2007 is Australia, with 241 documents. “Leadership” is the most used keyword in the journal. “Academy of Management Journal” is the most used journal in the documents sent to the journal. The fact that the journal does not comply with Lotka’s law and the studies with multiple authors are more than single studies means that the cooperation between the authors is strong.

Measuring the impact of a publication in a fair way is a significant challenge in bibliometrics, as it must not introduce biases between fields and should enable comparison of the impact of publications from different years. In this paper, we propose a Bayesian approach to tackle this problem, motivated by empirical data demonstrating heterogeneity in citation distributions. The approach uses the a priori distribution of citations in each field to estimate the expected a posteriori distribution in that field. This distribution is then employed to normalize the citations received by a publication in that field. Our main contribution is the Bayesian Impact Score, a measure of the impact of a publication. This score is increasing and concave with the number of citations received and decreasing and convex with the age of the publication. This means that the marginal score of an additional citation decreases as the cumulative number of citations increases and increases as the time since publication of the document grows. Finally, we present an empirical application of our approach in eight subject categories using the Scopus database and a comparison with the normalized impact indicator Field Citation Ratio from the Dimensions AI database.

Responsible assessment promotes expert judgment and opposes sole reliance on research metrics when assessing research excellence. While many institutions and national research panels declare commitment to responsible assessment practices, we ask: have these declarations affected the outcomes of research evaluation? Using data from the UK’s 2021 national research quality exercise and focusing on the business and management discipline, we show that the strong association between journal rankings and expert evaluations has not changed, despite institutional endorsements of DORA (Declaration on Research Assessment). Additionally, we find that this correlation is strongest for the most prestigious journals. The implications of these findings are profound: they enhance understanding of the use of metrics in research evaluations post-DORA and highlight potential constraints in the deployment of responsible assessment.

Virtual, augmented, and mixed reality, known collectively as extended realities (XR), have the potential to transform businesses but research service is required. This report explores the productivity of XR-related in business research. This paper has enhanced the traditional bibliometric approach by integrating it with a mathematical supplement, Expedited Analytical Hierarchy Process (EAHP). This enhanced methodology allows for a nuanced evaluation of research service productivity and offers direction for future research efforts. Productivity is evaluated in terms of the effectiveness and efficiency of research results, so creating a bibliometrics index for commenting on research effectiveness and evaluating research efficiency criteria from a publication standpoint, the work added to the field. Analysis of the collected scientometrics data show the field is not yet optimally productive, leading to a call for increased focus on future research. Besides, the utilization of EAHP’s systematics way to convert the data into a future research direction, with mixed reality found to require more attention than other XRs. A complementary literature analysis step highlights the practical application of XRs in business and the growing importance of the XR-owned worlds, metaverses. As a result, this study found evidence to argue that the services provided by the business research community are not optimally productive when dealing with the XR movement, and it calls for more attention to support businesses.

In this study, we propose a new index for measuring performance in science which is based on collaborations (co-authorship distances) in science: the Prize Winner Index (PWI). The PWI is based on the Erdős number – a number that was introduced several years ago. We propose to focus with the new index on laureates of prestigious prizes in a certain field and to measure co-authorship distances between the laureates and other scientists. To exemplify and explain our proposal, we computed the proposed index in the field of quantitative science studies (PWIPM). The Derek de Solla Price Memorial Award (Price Medal, PM) is awarded to outstanding scientists in the field. We tested the convergent validity of the PWIPM. We were interested whether the indicator is related to two established bibliometric indicators: (1) citation impact (number of papers belonging to the 10 % most frequently cited), and (2) journal prestige (number of papers which have appeared in top quartile journals). The results show that the coefficients for the correlation between PWIPM and both indicators are high in cases when a sufficient number of papers have been considered for a reliable assessment of performance. Therefore, measured by established indicators for research performance, the new PWI indicator seems to be convergently valid and, therefore, might be a possible alternative for established (bibliometric) indicators – with a focus on prizes.

Redox flow batteries (RFB) are receiving increasing attention as promising stationary energy storage systems. However, while first innovation activities in this technological field date back to the 1950s, the commercialization and diffusion rates of RFB technology have remained limited. Apart from technological challenges, the lack of a functioning innovation system is one of the main barriers to mainstream this technology. Here, we carried out a comprehensive bibliometric analysis of the RFB research field to shed systematic light on a core aspect of innovation systems – the production of knowledge. Based on the analysis of 4,872 papers published in the years 1981–2021, we reveal developments over time, describe the geographical distribution of research activities, and explore collaboration networks as well as emerging lines of research. Overall, our study allows for strengthening the RFB innovation system by providing the foundation for aligning a scattered research field, identifying needs for technology development, and fostering collaboration and synergy creation.

Rapid growth in the global electric vehicle (EV) market has sparked extensive research, with charging time remaining a critical concern. This study presents a descriptive analysis of research publications on EV charging time from 2017 to April 2024, highlighting trends, characteristics, and global perspectives and identifying research gaps. Scopus, an extensively utilized and frequently cited bibliographic database among the global research community, served as the primary data source for this investigation. Based on the Scopus database, the analysis reveals a growing interest in optimizing charging times, with notable peaks and troughs in publication trends. Interdisciplinary collaboration is evident, with engineering, computer science, and energy research leading the field. Key thematic clusters focus on charging infrastructure, battery optimization, and integration with renewable energy sources. Research gaps and emerging areas include fast-charging technology, battery management systems, and grid integration. A future research roadmap suggests investigating fundamental charging mechanisms, developing intelligent charging systems, exploring socio-economic implications, and fostering international collaborations. While progress has been made, further research is needed to address challenges and drive innovation in EV charging technology for sustainable transportation solutions.

Sustainability principles are becoming an integral part of all aspects of business operations, including human resource management (HRM). Despite extensive research in the field of sustainability, there is a lack of focus on sustainable practices in the recruitment process. This article aims to identify opportunities for sustainable HRM with a focus on the recruitment of new employees in a company. The authors defined three research questions using the PICO method and subsequently applied PRISMA, bibliometric analysis, and content analysis methods to address them. The result is a proposal for a sustainable recruitment model, illustrated using the Milky Way Map framework. The model highlights the key areas of recruitment that need to be considered to achieve sustainable management of the recruitment process. The research emphasizes the importance of implementing a sustainable approach to recruitment. Information systems/information technology (IS/IT) plays a crucial role in optimizing recruitment processes and reducing negative environmental, social, and economic impacts. The implementation of the proposed model can bring benefits such as more efficient talent management, cost reduction, and enhanced sustainability.

Currently, reverse logistics and sustainability are recognized as strategies to enhance the performance of supply chain processes and customer service and to reduce environmental impact, which is reflected in the planning of and reduction in costs throughout the production process. This article developed a bibliometric review that considered the growth of reverse logistics and sustainability from the perspective of different organizations, authors, thematic subareas, countries, journals, keywords, and volume of citations and publications. For this, a methodology was developed that consisted of reviewing previous research, obtaining the Scopus data set, applying the analysis with Microsoft Excel 365 and VOSviewer version 1.6.18 to determine the applications and trends of future research, and identifying the global impact in the last six years on organizations. The search equation with the application of filters resulted in 22,625 articles. The Sustainability Switzerland journal provided the most significant number of contributions in terms of publications, and the Journal of Cleaner Production stood out for its number of citations. Tseng, M.L. and Govindan, K. were the most active authors. China, the United States, and the United Kingdom were the most notable countries. Chinese Academy of Sciences and the Ministry of Education of the People’s Republic of China were the most influential institutions. The main findings were the recognition of the potential research lines and industry 4.0 technologies applied in supply chains and the development of sustainable processes with the fusion of reverse logistics, sustainability, and circular economy.

Keeping up with the hastily growing economy implies undergoing unremitting transformation permanently. In the field of supply chain, such progress can only be guaranteed via the exploration of new horizons and innovative solutions in response to the constraints of the global market. Emerging technologies, particularly artificial intelligence, offer promising avenues for enhancing supply chain processes, with sustainability ascending as a critical consideration. Despite the recent surfacing of AI-driven applications, scant attention has been devoted to exploring their full potential within supply chain operations, particularly in conjunction with SDGs. Recognizing the untapped opportunities presented by the implementation of AI for a sustainable supply chain this study undertakes a bibliometric analysis of 236 research papers sourced from the Web of science database. The analysis utilizes R language BiblioShiny to examine the extracted papers, and dissect patterns, trends, and relationships among key concepts and themes as well as prominent topics, impactful authors, and leading journals and countries in this domain. The findings reveal substantial growth in research related to SCM, AI, and sustainability as the UK leads this field of study with 132 articles followed by India, China and the USA. Eventually, the National University of Singapore came first in terms of paper affiliations, followed by De La Salle University, and London Metropolitan University. These results only prove that sustainability is becoming more critical in the equation of AI-driven supply chains especially with the current socio-political and economic circumstances, constituting a solid base for further academic research and more innovations in the managerial and business-related policies in this field.

A circular economy (CE) addresses the shift in economic systems from an unsustainable linear approach to a sustainable circular approach through start-ups and entrepreneurial ecosystems (EE). A single level of focus on CE research limits an understanding of the mechanisms fostering a transition towards CE. We conduct a systematic review of the macro–meso–micro interconnections between start-ups and EE in CE using bibliometric and content analyses to scope the literature without time boundaries. This exercise led to 90 articles from the Web of Science and Scopus databases. We contribute to literature on entrepreneurship and CE by building an integrative multi-level framework linked to the just and safe planetary boundaries by bridging macro-level explanations (public policies, regulations and infrastructure) and the meso-level (circular supply chains and circular ecosystems) and micro-level (circular start-ups and circular business models). The framework highlights social and environmental sustainability challenges, and just and safe close-loop production patterns.

Empowering women is essential for poverty alleviation and open involvement of woman entrepreneurs in line for entrepreneurship development. Nonetheless, several woman-led enterprises and woman entrepreneurs have scarce opportunities to revitalize beyond the dearth of financial services to realize financial freedom. This article’s approach hinges on a bibliometric analysis to survey recent developments and trends in microfinancing woman-owned enterprises and how this field is expected to transform to recent financial technological progress over successive years. We review existing evidence from 402 published articles indexed in the Scopus database from January 2003 to March 2023 to explain the current research development and interrelated prospects for enhancing studies on microfinance for woman entrepreneurship. The results vividly indicate that access to a stream of microfinancing credit is fundamental to the prosperity of urban woman-led enterprises across all countries. Despite this, woman entrepreneurs still encounter several obstacles when starting new businesses or expanding existing ones. With a growing demand for substantial sums of external financing to transition to sustainable business practices, their contribution to sustainable development is most often unreachable. Thus, any financing strategies focused on allowing access to microfinance credit by woman entrepreneurs are necessary to enable this sector to receive the benefits of economic freedom. This study offers good insights for current and potential entrepreneurs to bridge the financing gaps in emerging economies as a strategy for strengthening the capability of woman entrepreneurs to pursue economic opportunities that can inspire sustainable business enterprises and contribute to sustainable development. Finally, the study provides a foundation for future research in the domain of entrepreneurial financing for MSMEs.

This study aimed to identify the boundaries between social entrepreneurship and entrepreneurship research through conducting a comparative analysis of international co-authorship networks. Analyzing 29,510 papers published in the Web of Science database from 1999 to 2021, this study utilized bibliometric analysis to examine international co-authorship networks, the strength of international co-authorship, and the top collaborative and collaborating countries. The results found that based on quantitative analysis, social entrepreneurship research focuses more on local challenges and less on international collaboration as compared to entrepreneurship research. Moreover, the findings reveal the involvement of developed countries in the international co-authorship for social entrepreneurship research field. This study sheds light on the characteristics of social entrepreneurship research, which focuses on local and regional challenges. Contrastingly, entrepreneurship research focuses on the globalized field while sharing information and technology. These insights could benefit researchers, practitioners, and educators in prioritizing globalization in entrepreneurship and localization in social entrepreneurship.

It is widely accepted that service design is a discipline that is becoming increasingly recognized as a key element for productive collaboration between multidisciplinary stakeholders. However, it is difficult to understand the interplay between service design and product innovation in higher education. There is a gap in the service design literature on how its way of teaching can enable better product innovation if introduced within product innovation degrees. This study seeks to explore how product innovation might be stimulated by service design teaching, with a focus on collaborative participant activities often used within the service design discipline. Previous studies on service design pedagogy have provided various frameworks for teaching service design that are often drawn from different disciplinary perspectives, such as engineering, social sciences, marketing, business, etc. This article, in contrast, examines service design pedagogy strategies applied in design education within the realm of product innovation. A bibliometric analysis method was adopted to review the existing literature. We found that the selected studies touched upon several themes, which all relate to collaboration among participants and stakeholders in service design and product innovation. The findings shed light on specific projects and case studies that were implemented via team collaboration. Further analysis proposes that the service design pedagogy in design education enhances product design via wider value considerations such as sustainability principles and methods. This study begins to illustrate how service design as a systemic approach to designing products might better enable product innovators to consider wider aspects of value co-creation and sustainability via explicitly involving and considering wider stakeholder networks beyond simply designing a product for a user.

Three decades ago, supply chain uncertainty was recognized as a significant conceptual problem that must be resolved to successfully satisfy supply and demand activities. For this reason, firms have developed several workable approaches and techniques (including lean, agility, and resilient framework) in response to the need to maintain such activities in the face of uncertainty. Despite this, the current pandemic’s onset has hampered supply chain management, indicating that current solutions fall short of being sufficient to shield firms from being impacted. Therefore, it raises the question of what we have learned from decades of research and studies to prepare us for such adversities. And what plans must the firms have put in place to address this disaster? To focus on this, the current study intends to explore supply chain uncertainty trends and patterns, to emphasize the future orientation. Using the PRISMA 2020 (Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020) protocol, 884 peer-reviewed journal articles were selected from the Web of Science database and analyzed using bibliometric analysis through MS Excel and VOSviewer software (version 1.6.18). There are two ways the results are presented. First, performance analysis revealed that 2335 writers had written 884 publications (1993–2022), which had an average 32.2 citation level across 176 journals. Second, the science mapping analysis included well-known methods, such as citation analysis, co-citation analysis, bibliographic coupling, co-word analysis, and co-authorship analysis. The original contribution of this study lies in the identification of four clusters through the analysis, namely, overall impact of uncertainty, demand uncertainty, challenges uncertainty, and uncertain strategy. This led to recommendations for future research that practitioners could use.

The current study intends to understand the spectrum of existing scientific literature on Impact Investing, explore the publication credentials of that literature in the form of bibliometrics, and investigate the future scope for research in the area of impact investing. We have used the visualization tool VOSviewer to analyze the bibliometric data collected from the Scopus database. ‘Sustainable development’ was identified as the most used keyword in the documents, followed by ‘corporate social responsibility’, ‘investment’, and ‘environmental performance’. The United States was the leading contributing country followed by the UK, China, Italy, Canada, and India. Based on the systematic review of 753 journal articles, we have identified five distinct research areas in the field of impact investing. The top five research clusters are sustainable development research, sustainability research, corporate social responsibility research, Sustainable investment research, and environmental economics research. Our results revealed a dearth of focus among researchers in identifying impact investing either as a standalone concept or as a concept that drives better performance in organizations. Hence, we propose some promising areas of impact investing research. They are sustainable finance, firm performance, tourism, and climate change research. The output of this research has implications for researchers, practitioners, policymakers, and academia since it pinpoints the popular and promising clusters of research in the field of impact investing. Our study is unique and original in the sense that it covers a more comprehensive inclusion, and exclusion criteria as well as keyword combinations and thus, it provides better directions for future research in the field.

Smallholder farmers, crucial to global food security, face challenges in sustainable integration into agricultural innovation due to inherent flaws in existing finance models. This research addresses the conspicuous gap in comprehensive reviews on sustainable finance in agriculture through a bibliometric approach. Financial constraints, limited market access, and climate vulnerability plague smallholder farmers, hindering the long-term sustainability of current financial models. This study aims to systematically map the scholarly landscape of sustainable finance models for smallholder farmers, focusing on the adoption of agricultural innovations. A critical knowledge gap exists regarding bibliometric patterns and trends in the adoption of agricultural innovations by smallholder farmers. The study utilizes the RAPID framework for a streamlined and evidence-based bibliometric review, employing RStudio and the bibliometrix-package. The analysis aims to recognize, assess, purge, investigate, and document key themes and emerging patterns in the literature. Noteworthy trends from bibliometric reviews indicate a rise in bibliometric approaches, with VOSviewer as a prevalent tool. This research contributes methodologically by advocating for Scopus as the primary database. The study’s significance lies in informing policy, practice, and research initiatives supporting smallholder farmers. By revealing bibliometric patterns, this study aims to guide the design of innovative and context-specific financial instruments, fostering a more sustainable and inclusive agricultural landscape. In conclusion, this research endeavors to bridge the knowledge gap and provide novel insights at the intersection of sustainable finance and agricultural innovation adoption. The anticipated outcomes will inform the development of tailored financial models, advancing the resilience and productivity of smallholder farmers globally.

Comprehending the state of the art of certified B Corps and sustainable business ecosystems (SBE) is crucial to affirming the role of B Corps in SBE development. The aim of this paper is to systematise the scientific knowledge related to both concepts and explore the role and contributions of these enterprises in the SBE. To date, no study has jointly carried out a bibliometric analysis and discussed the state of the art of B Corps and SBEs in management literature. A sample of 696 research documents from 2006 to 2024, extracted from the Web of Science and Scopus databases, has been analysed. The results show a strong relationship with the stakeholder and circular economy theories and a weaker relationship with the institutional theory, among others. The SBE literature is closely connected to sustainable and innovation business models, social entrepreneurship, and it is especially associated with social and environmental impact.

In the post-Covid-19 era, identifying emerging trends in human resources management has become crucial for organizations seeking to adapt and thrive in the ever-changing landscape. Recognizing these trends enhances employee engagement, talent acquisition, and overall organizational effectiveness. One approach to unveil these trends is bibliometric analysis, which helps researchers identify influential topics and themes within the field by analyzing publication patterns, citation networks, and keyword co-occurrence. By evaluating bibliometric indicators such as citation counts and h-index, researchers can identify influential authors, institutions, and publications, fostering collaborations and knowledge-sharing opportunities. Additionally, this analysis reveals underexplored areas in literature, guiding the development of research agendas and addressing important unanswered questions in human resources. With the emergence of Artificial Intelligence (AI) tools such as Elicit, Iris, and Litmap, new possibilities arise to perform bibliometric analysis. Comparing the gains from AI-driven methods to traditional approaches, this research paper aims to understand their relative benefits in the context of human resource management after Covid-19. Although AI offers a wider range of data sources and more comprehensive insights, traditional methods still hold value, particularly when context-specific knowledge is vital. The choice between AI and traditional methods depends on research objectives, data availability, and the resources and expertise available to researchers. Ultimately, adopting emerging trends in human resources through effective bibliometric analysis can give organizations a competitive advantage, ensuring their ability to proactively adapt to the dynamic needs and expectations of their employees and achieve sustained success.

The current work highlights the evolution in knowledge management for sustainable entrepreneurship research by analyzing the key trends and major concepts. Additionally, the knowledge structures of such research themes were analyzed and mapped. Moreover, this paper seeks to present a research agenda concerning the study subject. It employed an integrated bibliometric approach and systematic review of knowledge management and sustainable entrepreneurship research by conducting two main procedures, namely domain analysis (i.e., key trends and evolution) and knowledge structures analysis (i.e., intellectual, social, and conceptual structure). A total of 233 documents were obtained from Scopus and Web of Science datasets and analyzed using both R 4.1.2 and VOSviewer software. The findings demonstrated that the contributors (i.e., the authors, nations, journals, and institutions) produced a discernible evolution in the body of knowledge on the themes of knowledge management and sustainable business within the designated period. Furthermore, science mapping approaches deeply grasp the social, conceptual, and intellectual structures of such research themes. This current work is considered one of the first attempts to systematically review, analyze, and visualize the scientific productions on knowledge management and sustainable entrepreneurship. The findings of the current work also offer a solid understanding and insights into the potential directions for the research agenda in these disciplines.

MSME (micro, small, and medium enterprise) is a day-to-day emerging and evolving concept across various fields. Although professionals and academics are becoming increasingly interested in MSME research, limited literature has offered a thorough analysis of current trends and potential future implications for MSME research in India. Rather than providing a comprehensive understanding of the field, previous reviews on MSME have frequently confined themselves to conceptual (construct) or contextual (finance, marketing) insights obtained through the use of conventional review methods (descriptive). This review performs a bibliometric analysis of 346 articles published in Scopus-indexed journals between 2010 and 2023 using VOSviewer version 1.6.18. Thus, scholars can use this review as a one-stop, up-to-date summary of MSME to guide and shape future MSME research. It also highlights the main patterns in the performance of the article, author, organization, and journal, as well as the patterns and potential repercussions for MSME research in India in the future.

The purpose of this study is to analyze the development of research publications on leadership implementation in MSMEs over the last five years. This research used a bibliometric analysis approach with VOSviewer software to develop and visualize the bibliometric network. This research conducted screening based on leadership keywords in MSMEs in the SCOPUS database in the vulnerable years 2018-2023. Publications according to keywords initially amounted to 90 articles, after which 33 articles were filtered. The development of leadership publications in MSMEs in the last 5 years has experienced ups and downs in the number of publications per year, with an increasing trend occurring in 2023, when there were many publications in the field of business, management and accounting, with 33 documents (47.8%). The results of the analysis with VOSviewer and visualization of co-occurrence networks based on leadership keywords in MSMEs revealed 174 items with a division of 12 clusters marked with different colors. The interrelated factors include entrepreneurial leadership, entrepreneurship, entrepreneurial motivation, quality management, digital transformation, competition, and others. The results of the analysis using the VOSviewer application show that there is a relationship between leadership and MSMEs with other networks; thus, additional research could be interesting.

Purpose This paper aims to analyze the thematic content of research addressing the relation between board of directors (BoD) and business transformation (BT) to obtain better understanding of status and to derive future areas of study. Design/methodology/approach This paper reviews literature through a bibliometric analysis based on co-occurrence of articles published in Web of Science Core Collection ™ (WoS) between 1990 and 2022, identifying key concepts, setting network of relations and identifying the strategic importance of clusters of concepts. Findings and implications are discussed, future lines of research are presented and limitations are noted. Findings Thematic research on boards addressing transformation shifted from the analysis of individuals’ traits to an organizational approach with majority of research centered on the role of boards under different theories and the consequences of strategic changes on firm’s performance. Further research is around gender diversity, sustainability and the moderating role of ownership structure and business culture. Research limitations/implications Some limitations are also noted. This analysis considered articles indexed by WoS for Q1+Q2 publications as source of literature, while including others such as Scopus would increase knowledge base. Also, to identify main streams of research, the authors considered keywords with cumulative occurrence spanning from 30% to 40% while increasing this percentage would add terms that might improve precision to the connections among keywords. Other techniques could have been used such as co-citation or bibliographic coupling, although the authors find these as better suited to investigate the basic structure behind the foundational knowledge of the topic while the authors’ intention was to understand the positioning of study fields regarding the degree of research progress. Practical implications This paper presents some practical implications for future researchers. Those who wish to leverage previous evidence to address new research questions might look into principal themes covering BoD dynamics and composition to exert CG, and the relation between strategic decisions and performance measured by different variables. Those who wish to position their research as new findings to shed light on dilemmas, might find opportunities in the fields of climate change-sustainability, R&D for growth and innovation under the perspective of intangible assets. Originality/value This paper, is the first to the best of the authors’ knowledge, to identify research clusters for the intersection of boards and transformation and to determine their stage of development.

This study undertakes a comprehensive bibliometric analysis of war and terrorism Insurance research spanning from 1914 to 2018. Leveraging tools such as Scopus and VOSviewer, the analysis involves 56 papers to unveil evolving trends and scholarly contributions. Collaborative network maps are employed to illuminate influential authors, top journals, key papers, funding institutions, and affiliations within the domain. One of the key findings of this research is that the volume of published papers on the topic of terrorism insurance is associated with major terrorism events, and there were no published papers on this topic after the year 2018. Significantly, the research underscores the substantial impact of existing studies on understanding the repercussions of war and terrorism Insurance while pinpointing persistent gaps in the field that necessitate further exploration. The originality of this study lies in its novel approach—a thorough bibliometric analysis, filling critical research gaps to offer valuable insights for both practitioners and academics. This study’s paramount importance is manifested in its potential to inform and benefit both practitioners and academics alike. By addressing research gaps, the findings contribute to the development of effective strategies for mitigating the risks associated with War and Terrorism Insurance. Essentially, this research not only advances our understanding of the complex domain but also provides practical implications for real-world applications.

Research on the application of Artificial Intelligence (AI)-based technologies in the HRM domain has attracted significant scholarly attention. Yet, few studies have consolidated key trends in adopting AI for HRM, especially on managerial competencies required for adopting AI-based technologies and identifying the key research directions for HR managers, including the development of an AI-focused competency framework for HR managers. A systematic literature review (SLR) and bibliometrics analysis were conducted to identify the current research direction for managers adopting AI in HRM. Several themes of managerial capabilities required for adopting AI in HRM were identified, utilizing the Dynamic Capabilities View (DCV). The SLR identified applications of various AI tools and techniques in HR functions, recruitment and selection was one with the broadest use of AI applications. Managerial cognitive capability, managerial human capital, and managerial social capital of DCV were considered the initial coding categories under which various managerial competencies are required for the adoption of AI in HRM. This study utilized SLR, Bibliometric, and directed content analysis as three distinct but interrelated sets of methodologies for extracting novel insights into the adoption of AI for HRM. It highlights the associated managerial capabilities that need mapping for its adoption.

There must be proper business efforts to achieve high competitiveness and outstanding business performance, especially in an uncertain economic environment. It must be the best choice when dealing with organizational agility issues. Organizational agility is defined differently in various studies. There is much uncertainty and disagreement around the definition and lements of this notion. Therefore, this research aims to conduct a thorough evaluation of the literature that synthesizes definitions, concepts, measurements, and analyses from previous works on organizational agility research. There was a systematic literature review using this methodology by involving a search for articles, papers, or all works published between 1999 and 2000. There are 59 articles found that match the predetermined criteria. The results combine some factors that influence organizational agility and dynamic capabilities. These research findings offer significant implicit insights that assist organizations in navigating VUCA conditions and realizing a sustainable competitive advantage. They also indicate potential areas for future research.

Supporting the birth and development of innovative small firms, i.e., start-up incubation, has emerged as a critical factor in fostering entrepreneurship, innovation, regional development, and more recently, sustainability. This bibliometric review aims to comprehensively understand and visualize different research perspectives on how start-ups are successfully incubated. A total of 1116 Scopus articles were selected and synthesized using a qualitative approach. The study applies novel visualization techniques (Citation Network Analysis, Global Citation Score, Burst Detection Analysis and Co-Occurrence Networks of Keywords) to map the scientific structure of start-up incubation research, including the clusters of the leading research topics based on citation networks, the most cited articles, and the keywords with the most substantial citation bursts as well as their co-occurrence. We evaluate research on start-up incubation from 1972 to 2023 and show how the topic has advanced by scholars’ changing interests over time. We identify five clusters that reflect distinct study themes and their most cited references. The findings contribute to a more comprehensive understanding of the evolution of start-up incubation research, which developed from a focus on biotechnology and technology transfer toward the current research trends on accelerators and (entrepreneurial) ecosystems. This paper also provides insights for policymakers and start-up incubation managers to make informed decisions.

Studies on information technology and organizational agility has shown significant growth since the beginning of 2014, which may be an indicator that this theme is beginning to mature in the concerned literature, and increasingly has become the subject of researchers. In view of the presented scenario, the objective of this study is to introduce a synthesis of the literature panorama of the relation between the focused two constructs in the last years. The author (s) chose to employ a bibliometric analysis to understand the evolution of studies on that relation. We concluded that in the United States there is a great concentration of research on this subject, and the most recent publications, in general, occurred in relevant management and information management system journals. The identified studies mainly concentrate on the causal relationship between information technology (IT) and organizational agility from three perspectives: (1) the direct effect of IT capabilities on agility, (2) the moderating effect of IT capabilities on the relationship between other organizational capabilities and organizational agility, and (3) the indirect effect of IT on organizational agility mediated by other organizational capabilities. In addition, it was possible to identify organizational agility connected with three aspects: sensitivity, decision and responsiveness. Another contribution of the study is the construction of a framework based on the main study samples and the most recurrent keywords. It is possible to detect the three levels of analysis in the relation between the two previously mentioned constructs, besides bringing out the definitions used for each construct. An opportunity for future studies is to evaluate the taxonomy identified for organizational agility.

The civil construction sector is under pressure to make construction processes more sustainable, that is, aligned with economic, social, and environmental sustainability. Thus, the research question considers: How do Industry 4.0 Technologies help civil construction face challenges and identify new opportunities to become sustainable? The general objective of this work is to offer a current overview of publications that associate the civil construction sector; Industry 4.0 Technologies and sustainability, and identify the challenges and opportunities of the Industry 4.0 Technologies set to contribute to sustainability achievement. The research method was a bibliographic review combined with bibliometric analysis in SCOPUS databases. The results show that civil construction faces the challenge of reducing the consumption of natural resources, ensuring safe work, and optimizing processes, especially handwork. However, the insertion of Industry 4.0 Technologies into civil construction has allowed sensors, robots, modelling and simulation systems, artificial intelligence, and drones to have their productivity, efficiency, safety, strategic and environmental management enhanced. Furthermore, Industry 4.0 Technologies can contribute to civil construction through innovative, sustainable, and technological solutions focused on the flow of work, which can provide growth through the balance of costs/benefits in the management of projects and works. Thus, it is expected that this article will contribute to discussions around the possibility of construction becoming sustainable with the support of Industry 4.0 Technologies.

Industry 5.0 arrived and sounded the alarms, warning entrepreneurs to adopt it as quickly as possible; the advantage is that this industry is still in its preliminary stages. However, there is little research on this model in the literature. In this context, the objective of this study was to analyze the current state of industry 5.0 in 215 publications from the Scopus database during the period 2019-2022. The applied methodology was quantitative analysis, with a bibliometric approach supported by the VOSviewer and RStudio software, in addition to the Microsoft Excel application. The results showed: (1) an exponential growth of article and conference paper publications in 2022, all indexed in journals of subject areas such as engineering and computer science; (2) four more industries influenced by i5.0, where the electronics sector leads well above manufacturing, energy and public service; (3) seven research topics associated with i5.0 that deal with the transition from industry 4.0 to 5.0; and (4) six little-explored research topics that would help i5.0 move to a new stage and which are related to environmental sustainability, social sustainability, cobots, bioeconomy, smart cities, and sentiment analysis. This study found a gap in the industry 5.0 literature; therefore, this document serves as a guide for future research.

Objective. In the present work, the bibliographical production referring to smart contracts is reviewed from the business, academic and scientific points of view. The aim is to analyze precisely how the relationship between smart contracts and blockchain occurs to establish a context in both developments. Design/Methodology/Approach. The Scopus database was consulted using the keyword: “smart con-tract”. It was decided to use the SciMAT bibliometric tool for the bibliometric study with the approach based on a joint analysis of words and the h-index to visualize diagrams and thematic areas relatively simply for two periods: 2010-2018 and 2019-2021. Results/Discussion. It was necessary to know the concept of smart contracts for the future of contract law and the digital economy. Some institutions and people will be against considering them as autho-rized legal alternatives; However, due to the technological advance currently being presented, their development will only be a matter of time. Conclusions. Smart contracts are a technological innovation that, through blockchain technology, carry out transactions safely, quickly and with almost no risk of non-compliance.

Workforce agility has been described as a management strategy that allows companies to respond quickly and effectively to threats and opportunities arising from a competitive and unstable business environment. In the current literature, there is still a lack of efforts to systematically review the state of the art on this subject. The aim of this paper is to address this gap by studying the academic progress on workforce agility. A systematic literature review was carried out to analyze the academic articles within the workforce agility topic that were published online until the end of June 2020 in three electronic databases: Web of Science (WoS), Scopus, and Science Direct. The bibliometric indicators present how the field has developed and which actors (authors, institutions, countries, journals) are the most relevant. Regarding the conceptual aspects, the findings allowed us to identify that an agile workforce consists of four interrelated and interdependent dimensions: proactivity, flexibility and adaptability, resilience, and competence. These attributes can be promoted through strategies related to i) learning and training, ii) forms of work organization, iii) human resource management; and iv) culture and organizational structure. Our findings also allowed us to propose an agenda for future studies on workforce agility and other related topics. This paper contributes by promoting a debate on a subject still incipient in the literature, especially in Latin America, and by highlighting the potential competitive advantage associated with workforce agility for companies.

The rise of Industry 4.0 tools transforms the way production plants are planned, controlled, and monitored, allowing organizations to achieve greater flexibility, efficiency, and cost reduction. This way, the use of emerging technologies provides a new look at the industrial sector, particularly concerning sustainability issues in a society that suffers worsening effects from climate change. On the other hand, the degree of success when implementing Industry 4.0 practices in sustainable-oriented manufacturing systems is closely related to hard decision-making, which involves, in practice, multiple and even conflicting criteria to model multidimensional problems. For that reason, it is worth recognizing the importance of the multi-criteria decision-making/aid (MCDM/A) approach to support decision modeling and application so that this research field can be better explored to enhance Industry 4.0 implementation and innovative advances in operations management. Given this backdrop, this paper undertakes a systematic literature review (SLR) of 118 papers, thereby combining a set of predefined keywords with several exclusion criteria to detect the literature that is related to sustainable decisions in manufacturing systems that introduced Industry 4.0 practices in the Web of Science (Clarivate Analytics) database. Cross-matching important research metrics from these papers encourages this work to provide readers with two axes of discussion with the aid of five research questions: a bibliometric analysis and a content analysis. Among many findings, some guidelines for decision-making are put forward to share insights and provide decision-makers, scholars, experts, stakeholders, and other professionals with an overall managerial background when applying sustainable-oriented multicriteria models in manufacturing systems.

Background: This review examines the concept of Industry 4.0, underscoring its genesis, integral technologies, implementation hurdles, and the imperative nature of sustainability. The successful transition to Industry 4.0 necessitates the comprehensive understanding and efficacious management of a multitude of intricate variables. Methods: A Systematic Literature Review was undertaken and coupled with a bibliometric analysis to probe into the current status of Project Management and Industry 4.0 research. The stringent procedures employed encompassed a literature search, selection based on precise inclusion/exclusion criteria, and an in-depth analysis, culminating in the identification of future research opportunities. Results: The findings reveal a burgeoning interest in project management and Industry 4.0, the dominance of conference papers and scholarly articles, an interdisciplinary approach to project management and Industry 4.0, global participation, and notable authors in the field. Moreover, content analysis facilitated the delineation of study topics concerning the transformation of the project manager’s role in Industry 4.0, the adoption and utilization of digital technologies in project management during the Industry 4.0 era, success determinants for project management in the Industry 4.0 epoch, the adaptation and evolution of project management in light of Industry 4.0, the influence of digitalization on project management and sustainability, strategic project management methodologies in the context of Industry 4.0 technologies, and barriers impeding the implementation of Industry 4.0 technologies. Conclusion: This study clearly shows that there is a rising interest in project management and Industry 4.0, with a specific emphasis on the application of digital technologies. It underscores the pivotal role of education and training in these novel technologies. Crucial success factors include maturity in project management, effective training, and adeptness in implementing Industry 4.0 components. The review uncovers opportunities for future research that could aid organizations and professionals in navigating the progressively more digitized landscape of their respective fields

Goal: Present a holistic perspective of methods and tools for the development of Product Service Systems (PSS). Design / Methodology / Approach: The investigation was conducted in two phases. The first phase presents bibliographic and bibliometric analyses, where 132 papers were read in full. In the second stage, of conceptual development, bibliographic data was grouped and validated by PSS specialists through a questionnaire, whose responses were used to conceptualize a model for PSS development. Results: Elaboration of a concept of a model for the development of Product-Service Systems, capable of providing guidance for all stages of its life cycle. Limitations of the investigation: The proposed model was applied to the bike sharing business model. However, a limitation was the lack of some information regarding this case to apply some methods and tools proposed in the conceptual model. Practical implications: The model developed can be used as a guideline for the elaboration or improvement of a PSS proposal, since it provides structure and control to the business models. Originality / Value: The paper demonstrates its originality and relevance by presenting a model centered on a holistic approach, as it provides a perspective of the whole PSS life cycle. Thus, processes are planned and analyzed from the definition of requirements to the destination after use of the PSS.

Firms face several challenges related to sustainability in global logistics operations. In response to this new dynamic, logistics has evolved into what is now known as smart logistics or Logistics 4.0, which has been in constant change for the past 10 years. This evolution has occurred within the framework of Industry 4.0 and has been called to be the pillar that guarantees sustainability in firms through the development and implementation of innovative and disruptive technological solutions. A systematic analysis of the literature related to the role of logistics 4.0 in business sustainability in the agro-industrial sector was carried out. A bibliometric and content analysis was performed on the 56 publications identified from 2015 to 2021 in the Scopus, ScienceDirect and Springer databases. The bibliometric research method used was the joint analysis of keywords using VOSviewer, followed by a content analysis of the selected articles. The bibliometric analysis made it possible to identify that publication in this field is low and growing. Logistics 4.0 contributes considerably to the sustainability of firms in general, and even more to the agro-industrial sector through digital technologies and new business models, allowing the creation of competitive advantages in agro-industrial firms.

Capital structure is one of the central themes of Corporate Finance. The development of theories and the range of empirical research on the behaviors and determinants of the capital structure are striking. Despite this interest in the subject, few studies have focused on the characteristics of this academic production, especially work on female participation. Thus, this study aims to analyze the female participation in academic production on capital structure in Brazilian periodicals. The collection of the articles of the sample was done through Portal Periodicos/Capes, SciELO and SPELL databases. The non-probabilistic sample, obtained from the search in the databases, comprised 195 articles, written by 412 authors from 97 different institutions, published by 66 journals. Through the bibliometric analysis, it was observed that the female participation is smaller than the male participation. The main findings identified that only 29% of the authorship of the articles belonged to women; that historically female participation is lower than male participation; that authors prefer to produce their articles in partnership and the more authors there are in an article, the greater the presence of women in that article; the highest titers had a smaller contingent of women; of the most productive authors, only three are women; female participation was higher than male participation in only two of the 11 most representative institutions.

Research on organizational culture and teamwork is progressing substantially, and the interest in understanding culture as an organizational phenomenon and its links with other variables of organizations are perspectives that need to be considered to obtain a better understanding and knowledge of achieving organizational aims. The objective of this study was to analyze the research and its contributions to organizational culture and teamwork through indicators of quantity, quality and structure. The information was obtained from the Scopus and Web of Science databases through structured search equations. The bibliographic data were merged and processed using Microsoft Excel, and by applying and using the PRISMA 2020 statement, 836 records were obtained. VOSviewer software was used to map networks, overlay displays and analyze keyword densities. The findings revealed that organizational culture and teamwork are constantly expanding and being researched in different organizations, with studies relating organizational culture and teamwork to knowledge management, patient safety culture, knowledge exchange, interprofessional collaboration and innovation. The maximum number of publications on the topic occurred in 2019. As indicated by VOSviewer, the keyword communication was associated with three of the identified clusters, and the research agenda proposed the expanding of themes related to leadership, knowledge exchange, knowledge management, interprofessional collaboration and safety climate.

This article examined more than five decades of the Revista de Administracao de Empresas (Journal of Business Administration [RAE]), between 1961 and 2016, through accessing documents made available on the internet in the electronic repository of periodicals and magazines of the Biblioteca Digital da Fundacao Getulio Vargas-Escola de Administracao de Empresas de Sao Paulo (Digital Library of the Getulio Vargas Foundation-School of Business Administration of Sao Paulo), which follows the Open Archives Initiative-Protocol for Metadata Harvesting (OAI-PMH) of interoperability between digital repositories. A total of 2,381 documents published in the journal (1,422 articles, 217 editorials, 62 opinion articles, and 680 reviews) were collected through an automated process and later analyzed using techniques such as bibliometrics, text mining, social networking, and geo-analysis. This study enables understanding of the path that the RAE journal has followed throughout its existence including 22 different management periods, the increase of authorship within its publications during 14 time intervals, the most frequent and important terms and keywords appearing in its published documents, and the formation of co-authoring networks of researchers who contribute to the development of the Administration science in the Country.

This research investigates the interfaces between the themes customer collaboration, open innovation, technological development and agile development in the international scientific literature. A systematic review of articles available in EBSCO, Scopus and Web of Science bases, published between 2014-2019, was carried out. After applying filters, a portfolio of 58 articles related to the theme was found, which formed the basis for a bibliometric research. It has been found that most research has studied collaboration with clients in the context of goods/ product development. From 58 articles that addressed collaboration with customers, 31 were identified in the context of the development of new goods/products, 15 in the software, 3 in the goods/products and services and 1 in the goods/products and software. With regard to software development, collaboration with clients has been further explored associated with agile methodologies theme. It has been identified 13 articles applied to software development with the theme of agile methodologies.

Long Range Planning (LRP) is the first journal focused on strategic planning. It was created in 1968 by the Long Range Planning Society, and it celebrated its 50th anniversary in 2018. This event led to the presentation of a complete bibliometric study aimed at identifying the most significant results that occurred in the journal during this period. For this purpose, bibliometric data were collected from the Web of Science Core Collection database, and two bibliometric approaches were used to analyze the journal’s publications: a performance analysis and a graphical mapping of the literature. The first of these uses a wide range of productivity and influence indicators that include the number of publications and citations, the h-index, and citations by paper, among others. The second approach uses the VOSviewer software to deliver a graphical view of the various intellectual connections within LRP. The results of both bibliometric approaches are consistent and confirm LRP as a leading journal in strategic planning and management, with increasing participation of authors and universities from countries around the world.

Social innovation (SI) is a relatively new field of research that is generating interest in the scientific community. This article presented a bibliometric review of research on SI in the period 1971-2021. 1,796 publications were analyzed, and bibliometric methods of performance analysis and scientific mapping were used. In the performance analysis, several bibliometric indicators were used, such as the h -index, productivity, and citations. In addition, the VOSviewer software was used to map the bibliographic material. Scientific mapping used co-citation and keyword co-occurrence techniques. References were obtained from the Scopus database. The most relevant research in the field of SI was identified and classified, taking journals, countries, institutions, authors, and publications as units of analysis. The results showed that research in IS has increased considerably since 2009. The United Kingdom positioned itself as the most productive and influential country in this field. Sustainability magazine showed the best combination of productivity and influence in the field of SI. Frank Moulaert turned out to be the most important author of research on IS. Emerging research topics related to SI were sustainability and social entrepreneurship.

Asset management is a contemporary research area that coordinates activities to realize value from assets in organizations. Consolidated with the international ISO 55000 series, it has become an active field of infrastructure. In this context, this paper aims to map the literature on asset management through a bibliometric analysis. In order to have a comprehensive mapping, a bibliometric approach was conducted in three steps: data collection, data processing and extraction of results. The analysis processes focused on publication trends, key research areas, main sources of publication, contributing authors and countries and its collaboration as main topics of bibliometric. A total of 2,449 documents related to asset management was collected according to the search protocol. Publication trends identified a rapid growth over the past 15 years on asset management and a concentration of documents in five research areas: Financial and business, Infrastructure, Maintenance, Optimization and Management. The source of publications and contributing authors were both identified not only by the greatest number of documents on the field but their relevance by citation index. Lastly, the USA, England, Canada, Australia and China were found to be the most publishing countries and strong international collaborators on asset management. Thus, these findings are expected to contribute to researchers around the world as bibliometric mapping is an interesting approach to provide a detailed overview of a scientific field and insights for further research.

This study used the meta-analysis to contrast research on sustainable development and its measurement within companies from different countries and Colombia. We used bibliographic selection criteria, proposing a conceptual classification scheme (ccs), with search equations applying Boolean operators, which allow reaching a conclusion by answering the five questions posed in the ccs. Articles from the last ten years and an analysis of the research trend on the topic raised were used, evidencing the agreement of the results and the selection criteria with the ccs. At the end of the study, it was possible to show that in the Asian and European countries, the leading researchers are concerned with environmental sustainability, social commitment and economic investment in technological development. Latin American countries show that companies only focus on financial growth rather than environmental or social impacts, which is detrimental to sustainable development.

Performance measurement indicators are widely used by organizations in order to assess, measure and classify organizational performance. As part of performance measurement systems, indicators are often shared or compared to different internal sectors of the organization, or even with other companies. However, some indicators are associated with vagueness and imprecision. In these cases, literature related to time representation can clarify the need for the semantic representation of indicators. This work seeks to analyse the studies available, selected after bibliometric review, on the semantic representation of time through ontologies. The purpose of this is to identify a knowledge model which best served the purpose of representing time in the performance indicators’ context. After applying the METHONTOLOGY methodology, it was concluded that the most suitable option is the SWRL Temporal Ontology, due to its ability to represent fine levels of granularity for points of time.

This article aimed to analyze academic productions about digital entrepreneurship by women. There is the following research problem: how are approaches related to digital entrepreneurship by women being discussed in the academic literature? The study is qualitative and descriptive. Data were collected in April 2021, on the Web of Science, using the Proknow-C method. The initial search presented 637 articles and after applying the method, the final sample consisted of 17 articles, which were categorized and analyzed. Data were treated through systematic and bibliometric analysis, with the aid of the VOSviewer Software. The results obtained revealed that digital entrepreneurship by women has been driven by social inclusion, female empowerment, poverty reduction and stimulus to regional economic growth and development. The entrepreneurs in question, however, are still operating in an incipient way in the digital economy. Theoretical contributions indicate the urgency of developing and stimulating digital entrepreneurship by women, especially in marginalized contexts.

The demand for innovative approaches applied to productive sectors is a reality present in the circular economy and open innovation is a relatively new concept that has revolutionized the literature about innovation management. Since the concept appeared in 2003, many articles have focused on its development and application. Although some studies have connected open innovation with sustainability, the relevance of this current on the global literature about open innovation is still unidentified. In this context, this paper tries to cover this gap with a bibliometric analysis focused on the evolution of the open innovation paradigm and the relevance of sustainability in this field of research. A sample of 3087 papers published between 2003 and 2019 in the Scopus database was obtained. The analysis revealed the main topics and the most prolific journals, authors, institutions, and countries, in terms of productivity, citations, and h-indexes. Besides of these contributions, keywords analysis reveals that, in recent years, sustainability and ecosystems are decisive variables in open innovation research.

Phase change slurries (PCSs) have great potential as both a heat transfer fluid and an energy storage medium for cooling processes, cold energy storage, and cold energy transportation due to desirable thermophysical properties. One of the major benefits of PCSs compared to pure phase change materials is their fluidity, thus making them cooled or heated by a heat exchanger, pumped through pipes, discharged, and stored directly in a thermal energy storage tank. The use of encapsulated phase change slurries and gas hydrate slurry has thus attracted considerable interest as reflected in the literature with a rising number of publications and institutions involved in the area. The use of bibliometric techniques has found a recent interest in the literature to define the progress of different scientific topics and inspire researchers to identify novelties. In this paper, bibliometric analysis and a detailed systematic review are carried out to show the state-of-the-art development of PCSs for cooling applications. Research gaps and hotspots are identified to help define future perspectives on this topic.

This paper explores scientific literature related to academic entrepreneurship and spin-off in university settings with the aim of identifying how information in this study field is organized, which the theoretical and methodological approaches in the literature are, as well as detecting gaps for future research lines. A systematic review of 57 indexed papers was conducted, obtained from the Scopus database and published between January 2014 and October 2019. Firstly, a bibliometric analysis through the VOSviewer software was carried out, and subsequently, the content of the set of studies was analyzed to meet the aims of the research. The results confirm that there is growing literature related to academic entrepreneurship, but it is fragmented under heterogeneous theoretical approaches. In sum, quantitative methodologies are on the rise and future holistic research is suggested.

The present work aims to characterize the scientific production regarding the thematic of the role played by the organizational teams in programs of redesign of processes. Methodologically, the study is of an exploratory nature, adopting the bibliographic review of the articles published in the databases Science Direct, Scopus, Web of Science and Google Scholar. The period of analysis was between 2006 and 2016. The bibliometric technique was used to examine the selected articles. The studies of production, authorship, content and references of the articles of the sample were carried out. As some of the results, the limited number of articles published on the relationship of the process redesigning projects with their organizational teams, as well as the identification of new research possibilities within the scope of this theme.