Search Results (18)

The digital economy has amplified the role of technological innovation in transforming financial services and business models. Patent data offer valuable insights into these dynamics, especially within the growing FinTech ecosystem. This study conducts a bibliometric analysis of academic research that utilizes PATSTAT, a global database managed by the European Patent Office, focusing on its application in studies related to digital innovation, finance, and economic transformation. A systematic mapping of publications indexed in Scopus, Web of Science, Wiley, Emerald, and Springer Nature is carried out using Biblioshiny and Bibliometrix in RStudio 2025.05.0, complemented by graph-based visualizations via VOSviewer 1.6.20. The findings reveal a growing body of research that leverages PATSTAT to explore technological trajectories, intellectual property strategies, and innovation systems, particularly in areas such as blockchain technologies, AI-driven finance, digital payments, and smart contracts. This study contributes to the literature by highlighting the strategic value of patent analytics in the FinTech landscape and offers a reference point for researchers and decision-makers aiming to understand emerging trends in financial technologies and the digital economy. Full article

This study presents a bibliometric review aimed at mapping and analyzing the scientific literature related to the ethical implications of artificial intelligence (AI) in livestock farming, which is a rapidly emerging yet still underexplored field in international research. Based on the Scopus database, 151 documents published between 2015 and 2025 were identified and analyzed using the VOSviewer version 1.6.20 and Biblioshiny for Bibliometrix (RStudio version 2023.12.1) tools. The results show a significant increase in publications from 2021 onwards, reflecting the growing maturity of discussions around the integration of digital technologies in the agricultural sector. Keyword co-occurrence and bibliographic coupling analyses revealed the formation of four main thematic clusters, covering technical applications in precision livestock farming as well as reflections on governance, animal welfare, and algorithmic justice. The most influential authors, high-impact journals, and leading countries in the field were also identified. As a key contribution, this study highlights the lack of robust ethical guidelines and proposes future research directions for the development of regulatory frameworks, codes of conduct, and interdisciplinary approaches. The findings underscore the importance of aligning technological innovation with ethical responsibility and social inclusion in the transition to digital livestock farming. Full article

Service quality is important for the survival of all businesses, including the hospitality business. Service quality can be measured by a model referred to as SERVQUAL, which comprises five parameters, namely, tangibility, reliability, assurance, empathy, and responsiveness. It is very important to examine publications to ascertain trends in service quality in the hospitality industry during the previous decade (2014–2024). Data were collected from the Scopus database, the article search having yielded 876 documents. The eligibility criteria were as follows: papers had to be published between 2014 and 2024, had to be written in English, and were restricted to articles, conference papers, book chapters, and review papers. The collected data were analyzed with the biblioshiny package in RStudio. The results revealed that the journal with the highest number of articles published during the period under study was Sustainability (Switzerland). Hong Kong Polytechnic was the institution with the highest number of publications vis-à-vis service quality in the hospitality industry, followed by Bina Nusantara University and Eastern Mediterranean University. It is notable that customer satisfaction featured prominently in different clusters, which emphasizes the fact that service quality is targeted at satisfying customers. Full article

Customer loyalty and retention are crucial for digital platforms, yet systematic studies integrating technological innovation and loyalty strategies remain scarce. This study addresses this gap by conducting a bibliometric analysis of key factors influencing customer retention in the digital environment. Our research employs a quantitative bibliometric approach using the Biblioshiny and Bibliometrix tools (RStudio 2022.02), analyzing 300 scientific articles from the Web of Science database (2021–2024). This study applies bibliometric techniques such as descriptive metrics, bibliographic coupling, co-citation, and scientific collaboration mapping to identify trends and thematic clusters. Our findings indicate that emerging technologies, including artificial intelligence and big data, significantly impact customer experience, trust, and engagement. Personalization and digital innovation emerge as fundamental drivers of customer retention, offering strategic insights for companies aiming to strengthen competitiveness in the global digital market. Full article

Digital nomadism is more than just a tourism idea. It represents a new working paradigm in which digital trends are transforming relationships between employers, work, and employees. Our study focuses on digital nomadism and the platforms that enable remote work relationships, which are the result of digitalization. The present study seeks to identify the current research trends and to rationalize future research opportunities in regards to digital nomads. To this end, a bibliometric analysis of available literature from the Scopus and Web of Science databases between 2006 and 2024 will be conducted. The study uses RStudio version 2024.12.0 Build 467 and Biblioshiny as tools to perform the bibliometric analysis of the extracted data. The research findings indicate that the publication of articles demonstrated an annual growth rate of 26.31% between 2006 and 2024. The average number of citations per document is 11.19. The UK, Portugal, Spain, and the USA are the most prominent contributors to digital nomad literature. Even though the conceptual discussions of this phenomenon are carried out in different disciplines, bibliometric analysis is used in our study to observe the areas in which the subject attracts attention in the academic literature and to predict the trends for the future. Full article

This study analyzes, quantifies, and maps, from a bibliometric perspective, scientific production, bioeconomy and computational simulations regarding avocado use in the timeframe of 2004–2023 in Scopus. To categorize and evaluate the contributions of authors, countries, institutions, and journals, Biblioshiny software in RStudio was used. Their collaborative networks were also visualized using VOSviewer. The analysis reveals an exponential increase in scientific output, especially from 2019 onwards, driven by the growing importance of sustainable avocado use in bioeconomy models. The main findings highlight the valorization of avocado waste for producing biofuels, cosmetics, pharmaceuticals, and food. In addition, the use of computational tools such as Aspen Plus, ArcGIS Pro, Unscrambler-X, SIMCA, and DOCK-6 to optimize conversion processes, model climate change effects, perform chemometrics, and conduct multivariate analyses, and molecular docking, respectively, is discussed. This knowledge highlights potential uses of avocado waste and computational modeling tools for stakeholders in the avocado industry, reinforcing their value chain through bioeconomy models and strengthening their competitiveness by promoting more efficient and sustainable processes. This work provides a comprehensive overview of the avocado-based bioeconomy, serving as a reference for future studies that integrate process simulation in the valorization of agro-industrial waste. Full article

Prior research has demonstrated the value of an entrepreneurial mindset in business. The so-called third mission is also becoming an increasingly important aspect of university operations. This involves leveraging knowledge generated at the university level to create close links with society and the economy. The role of intrapreneurs has been examined in the corporate, for-profit sector. However, these agents of change also play a significant role in the advancement of entrepreneurial universities. The present research investigates the role of intrapreneurs in entrepreneurial universities through a bibliographic analysis using RStudio biblioshiny on the Scopus and Web of Science databases. It is evident that the literature on this subject has gained interest in recent years, yet the number of documents remains limited, with a small number of authors publishing them. The development of keywords is also notable, including the emergence of sustainability, which is linked to intrapreneurs and the entrepreneurial universities. Although this study has its limitations, it can show how and where authors should publish, what the basic and the emerging topics are, what the most important keywords are and how these are connected and how countries cooperate in searching for solutions in this globally recognized research area. Full article

The seismic design of structures is an emerging practice in earthquake-resistant construction. Therefore, using energy-dissipation devices and optimizing these devices for various purposes are important. Evolutionary computation, nature-inspired, and meta-heuristic algorithms have been studied more in recent years for the optimization of these devices. In this study, the development of evolutionary algorithms for seismic design in the context of multi-objective optimization is examined through bibliometric analysis. In particular, evolutionary algorithms such as genetic algorithms and particle swarm optimization are used to optimize the performance of structures to meet seismic loads. While genetic algorithms are used to improve both the cost and seismic performance of the structure, particle swarm optimization is used to optimize the vibration and displacement performance of structures. In this study, a bibliometric analysis of 661 publications is performed on the Web of Science and Scopus databases and on how the research in this field has developed since 1986. The R-studio program with the biblioshiny package is used for the analyses. The increase in studies on the optimization of energy dissipation devices in recent years reveals the effectiveness of evolutionary algorithms in this field. Full article

Purpose: considering the resource-based view, embracing green supply chain management (GSCM) influences a firm’s performance (FP). This study finds the nexus between GSCM and FP by analyzing the reporting trends among the authors, countries, and sources along with collaboration among countries and authors, the emerging topics, and different themes in this field with their impact, centrality, and density. Lastly, it probes into the different methodologies, affiliating concepts, influencers, drivers, and impacts of GSCM through content analysis. Design/methodology/approach: this paper spotted 1518 documents narrowed down to 938, pertinent to GSCM and performance, utilizing the Scopus database. It uses sources, authors, word analysis, coupling, network analysis of keywords, social structure, and conceptual structure analysis in the Biblioshiny package of Rstudio (Version 4.4.0) to identify the progress in the fields spanning through the decade (2014–2023). Moreover, content analysis has been used to study the concepts and contexts of different themes identified through thematic analysis. Findings: the study found Journal of cleaner production in sources, Sarkis in authors, and China in countries to have the highest no. of documents. Closed-loop, digital, and circular supply chains and Industry 4.0 have been identified as the trending topics. Moreover, the key themes identified are (1) Supply Chain Optimization Models for Sustainability, (2) Affiliating concepts to, and the relationship between, Sustainable Supply Chain Strategies and TBL Performance in Manufacturing Sectors of Developing Countries, (3) Life Cycle Analysis of Natural-Resource Based Supply Chains for Sustainability Assessment on TBL, and (4) Factors Influencing and Performances Impacted by GSCM. Originality/Value: this research adds to the previous literature by analyzing both the concepts of GSCM and FP collectively, and finding new themes in between their intersection. Implications: it will direct future researchers in choosing the right theme, methodology, intervening variables, affiliating concepts, and country and author collaboration for the fields related to GSCM and FP. Full article

Currently, urban areas are confronting considerable challenges stemming from climate change. These challenges possess the potential to have profound implications for the well-being of residents, their means of making a living, and their own assets. Consequently, it is imperative to identify effective solutions that mitigate these effects on the urban environment. Nature-based solutions (NBSs), involving the utilization of natural resources and ecosystem services to alleviate the effects of climate change, have the potential of enhancing our capacity to develop cities that are more resistant to these challenges. To this end, this paper aims to extract some bibliographic data from available research articles on NBSs and climate resilience sought from the common search engines of Scopus, Web of Science, and Lens Base, and then the RStudio version 2022.12.00+353, VoSviewer version 1.6.20, and Biblioshiny-Bibliometrics version 2017 software tools were adopted to collate and analyze the literature data through science mapping analysis. In doing so, it was advocated that these two topics have not been extensively studied in their relationship to each other and that there is a large extent of existing knowledge gaps, the filling of which can foster the development of these ideas and thus help develop our cities in combating against climate change. Exploring the effectiveness of NBSs in boosting climate resilience is a critical research gap. More empirical studies are envisaged to assess the scalability and transferability of those effective NBSs in various regions or countries. Another research gap exists in comprehending the long-term effects on ecosystem services and community welfare. Research on socio-economic advantages, trade-offs, and unintended outcomes is essential for making well-informed decisions when applying various NBSs worldwide. Full article

Cooperatives address societal challenges embracing values beyond mere profit-oriented production. Considering the ongoing shift to achieve efficient use of resources and increased circularity, cooperatives should be better equipped to incorporate circular economy (CE) and eco-innovation (EI) into their strategies (compared to regular enterprises). This paper reviews the scholarly literature focusing on the application of CE and EI within cooperative studies with the aim to understand the relationships between these topics, identify the existing scholarly communities, and to observe salient research themes. This study refined the method of van den Hoven and Rubalcaba (2016) to conduct a two-step bibliographic review of documents: a thematic analysis of citation data from Scopus (including a manual review of 16 papers) was followed by a bibliometric analysis of 101 documents from Web of Science (using R-Studio’s Biblioshiny). Our results identified three intellectual clusters of cooperative studies focusing on the downstream of CE: (1) industrial ecology; (2) recycling; and (3) waste management. Our study also revealed an emerging scholarly field focused on cooperatives and CE, and with little attention to EI. These findings aim at catalyzing the integration of cooperatives more effectively into scholarly discussions, suggesting that environmental sustainability should be recognized as an additional principle of the cooperative identity—providing a wider perspective that enhances interest in the research of these topics and their interconnections. Full article

The aim of this study is to consolidate the state of mobile commerce consumer research from 2001 to 2022. Based on a systematic literature review employing a bibliometric technique, this study not only reports the significant contributions of authors and their affiliations but also discusses the evolution of m-commerce research over the last two decades. Examination of annual production trends revealed that publications were on the rise all along; the year 2022 clocked the highest number of publications (53 documents), which further reinforces that the research on this domain is in its blooming season. China is the most contributing country in terms of the number of publications and citations received, followed by the USA. The author Keng-Boon Ooi has been the most productive researcher; his studies continue to be the foundation on which m-commerce consumer research continues to thrive. The analysis of scientific mapping revealed that, although many studies were carried out on mobile commerce adoption intention, the focus of the researchers lately shifted towards studying continuous use intention (since 2018). Further, it was observed that the base theory, the Technology Acceptance Model, which has been widely used for determining antecedents of technology adoption intention, is losing its significance and is being overtly replaced by the Unified Theory of Acceptance and Use of Technology. While the topics “trust, loyalty, satisfaction, mobile banking, UTAUT, continuance intention, perceived enjoyment, and COVID-19” were identified as mother (engine) themes, the keywords “privacy, self-efficacy, social influence, TAM, attitude, and intention to use” became diminishing themes. The following topics have been identified as emerging themes: “Mobile social commerce, Mobile payment, Mobile marketing, Omnichannel, Fintech, and Live streaming commerce”. This study provides useful insights to potential researchers. Full article

Financial technology, or Fintech, has captured the attention of scholars, students, and institutions across worldwide for over a decade. With a plethora of new financial services, products, and innovative methods to engage with clients, the impact of technology on the financial sector has been extensively studied. This research paper provides a summary of scientific research on FinTech by using bibliometric analysis. Using the Scopus database, the paper analyzed 665 publications and identified research gaps and new study topics through “VOS-Viewer” software and “Biblioshiny” using RStudio. The study focused on FinTech’s functions and research constraints in digital finance by assessing citation links between the most significant articles. The findings provide a starting point for further investigation and offer opportunities for researchers to expand their expertise in exciting and innovative studies. Overall, this study seeks to help researchers discover new avenues for exploration in Fintech while advancing their present understanding. There exists much scope in the area of Digital Lending, Supply Chain Finance, the Internet of Things, and RoboAdvisers. Full article

Handling uncertainty is important in decision making, especially for SDGs problems. Robust Optimization (RO) is an applied optimization method that can be employed to handle optimization under uncertain data. With SDGs problems, many uncertain data have been considered in decision making. With RO, the data uncertainties are assumed to lay within a compact, convex continuous set. There are three special sets that can be used to represent the data, i.e., box, ellipsoidal, or polyhedral uncertainty sets. These special sets lead the SDGs problems to a computationally tractable optimization model, such that the global optimal solution is attained. However, literature reviews on the application of RO in SDGs decision-making is sparse, especially during the COVID-19 pandemic period. This paper examines the following topics: (1) the purposes of studies of RO and SDGs during the COVID-19 pandemic, (2) the state-of-the-art in RO-SDGs to determine the research objectives, and (3) the SDGs type of problems that have been modeled using RO. A systematic literature review is conducted in this paper, wherein discussion is based on a PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analyses) flowchart. To this end, the database reference searching conducted on the Scopus, Science Direct, and SAGE databases, is completed using the help RStudio software. The analysis was carried out on two datasets, assisted by the output visualization using RStudio software with the “bibliometrix” package, and using the ‘biblioshiny()’ command to create a link to the “shiny web interface”. In this paper, the research gap on application of RO to SDGs problems is analyzed in order to identify the research objectives, methods, and specific RO-SDGs problems. As a result, the application of RO to SDGs problems is rare; this finding provides a motivation to conduct a further study of RO and SDGs during the COVID-19 pandemic. An expansion is presented using the key phrase “Operations Research and Optimization Modeling”, or “OROM”. SDGs in Indonesia may be referenced as an example of the capacity building available through RO/OROM. Full article

Material science is a broad discipline focused on subjects such as metals, ceramics, polymers, electronics, and composite materials. Each of these fields covers areas associated with designing, synthesizing, and manufacturing, materials. These are tasks in which the use of technology may constitute paramount importance, reducing cost and time to develop new materials and substituting try-and-error standard procedures. This study aimed to analyze, quantify and map the scientific production of research on the fourth industrial revolution linked to material science studies in Scopus and Web of Science databases from 2017 to 2021. For this bibliometric analysis, the Biblioshiny software from RStudio was employed to categorize and evaluate the contribution of authors, countries, institutions, and journals. VOSviewer was used to visualize their collaboration networks. As a result, we found that artificial intelligence represents a hotspot technology used in material science, which has become usual in molecular simulations and manufacturing industries. Recent studies aim to provide possible avenues in the discovery and design of new high-entropy alloys as well as to detect and classify corrosion in the industrial sector. This bibliometric analysis releases an updated perspective on the implementations of technologies in material science as a possible guideline for future worldwide research. Full article