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Microlearning has been considered as a promising topic in work-based learning. This paper aims to review the trends of microlearning in terms of related publications and Internet searches. Hopefully, the findings can serve as a reference for the education sector, government, business and academia to promote, design and use microlearning.

In this study, two sets of analysis were conducted. Firstly, the authors analysed the publication trend of microlearning. Second, the authors analysed the trend of Internet searches related to microlearning. More specifically, the authors analysed real-world data of 14 years obtained from Scopus and Google Trends for the purpose. These data include the first relevant publication found in the database.

In total, 476 relevant publications have been identified during 2006–2019. According to the findings from the analysis of the identified publications, microlearning is a relevantly new and emerging global topic involving authors, affiliations and funding sponsors from different countries. Moreover, many microlearning-related publications were conducted from perspectives of e-learning or mobile learning. Furthermore, the authors notice higher education was the most frequently mentioned education level in the identified publications. On the other hand, language learning (i.e. second language, vocabulary learning, etc.) had been mentioned more times in the titles and abstracts than other subject areas. Overall, the increasing trend of publications on “microlearning” (as a knowledge supply) is in line with the established increasing Internet searches of “microlearning” (as a practical demand) in recent years.

From the work-based learning perspective, microlearning has been considered as one of the key topics in talent development topics. Policymakers, educators, researchers and participators have the responsibility to explore how to promote, design and use microlearning to help people to learn in the right direction through valid knowledge with ethical consideration.

Although many works had been done on microlearning, there is a lack of comprehensive studies reviewing the trends of microlearning in terms of related publications and Internet searches. This study aims to fill this gap by analysing real-world data obtained from Scopus and Google Trends – these data include the first relevant publication found in the database. The authors believe this is the first time that a study has been conducted to comprehensively review the development trends of microlearning. Hopefully, this study can shed some light on related research.

This article aims to conduct a bibliometric study using structural and relational approaches amongst the extracted documents and investigates the connections between business incubation and entrepreneurship-related papers to describe the field comprehensively.

A total of 259 articles have been retrieved from Scopus database in order to conduct the bibliometric analysis. Performance analysis and science mapping techniques of bibliometrics have been used along with data visualisation software, i.e. VOSviewer and RStudio. The network collaboration and intellectual structures, i.e. bibliographic coupling, co-occurrence analysis, word cloud and trending topics, have been presented to identify the field’s latest trends, themes and development.

The findings highlight annual publication trends, including the most frequently cited articles, the most productive authors, countries and highly influential journals that contribute the most to the said field. The intellectual structures have been developed to identify research themes and trends by running co-occurrence analysis and bibliographic coupling. The findings of this study emphasize the value of technology transfer, mentorship programmes, entrepreneurship education and an emphasis on innovation and creativity through entrepreneurial universities and academia. These findings provide policymakers and administrative officials with crucial guidance for fortifying the pillars of entrepreneurship and education for the comprehensive development of the economy. Further, this article attempts to identify the most influential and relevant publications as well as the newest trends in the area of business incubation in combination with entrepreneurship.

The article contributes not only to broaden the scope of knowledge on the said research discipline but also to comprehend how the field has evolved over a period of time. This study also attracts the interest of scholars/academicians, leading to the significant production of scholarly documents in business incubation and entrepreneurship.

The field of entrepreneurship and business incubation is one of the important pillars for the growth and development of the economy. This piece contributes to this arena by focusing on the areas that must be taken care of by developing the entrepreneurial ecosystem and fostering the progress of startups. The fundamentals of this research highlight the importance of mentorship programs, entrepreneurship education, technology transfer and a focus on innovation and creativity through entrepreneurial education and efforts by universities/academia, giving an important direction to the policymakers and administration for strengthening the pillar of entrepreneurship and education for the holistic development of the economy.

Business incubation is an emerging field of academic research connected to startups, venture formation and entrepreneurship ecosystems, making it a potential scholarly discipline. This study presents a thorough bibliometric analysis over the last three decades, offering comprehensive details on the most significant developments in the field of business incubation. Moreover, the various analytical methods applied to this study make it more attractive.

This research aims to intuit the trending technology hashtags (artificial intelligence (AI), blockchain, big data, cloud, enterprise resource planning (ERP), information and communication technology (ICT)) in the field of accounting by providing a bibliometric overview of research articles published in 28 years.

A bibliometric analysis of R software was used in this study. The Scopus database was considered to identify the broad research trends related to technology hashtags in the field of accounting from 1984 to 2021, as well as to gain a better understanding of the growing technology research hashtags in that period.

The bibliometric analysis reveals that the trending research topic focused on technology hashtags (AI, blockchain, big data, cloud, ERP and ICT) in the field of accounting has become important after 2010, as references and number of publications found before that year are scarce. The six trending technology hashtags (AI, blockchain, big data, cloud, ERP and ICT) framework for accounting were outlined in this study.

This research examined the trending technology hashtags in the field of accounting. Only scientific papers published in the Scopus database were analyzed.

This research will be able to understand the trending technology hashtags in the field of accounting, as it identifies the most frequent words, cloud (146), big data (91), AI (65), ERP (76), blockchain (6) and ICT (14). It also aids practitioners and scholars in detecting gaps in the existing literature as well as future research trends.

This research result could be a useful resource for researchers, practitioners and accounting professionals who are interested in the latest technology hashtags in the field of accounting. The current research establishes a new framework on the role of trending technology hashtags in accounting research (accounting technology hashtags, framework) comprising of six research pathways (RP) in the four branches of accounting that future researchers can use to think about and construct their study designs in the field of accounting.

International Journal of Emerging Markets (IJoEM) is a leading journal that publishes high-quality research focused on emerging markets. In 2020, IJoEM celebrated its fifteenth anniversary, and the objective of this paper is to conduct a retrospective analysis to commensurate IJoEM's milestone.

Data used in this study were extracted using the Scopus database. Bibliometric analysis, using several indicators, is adopted to reveal the major trends and themes of a journal. Mapping of bibliographic data is carried using VOSviewer.

Study findings indicate that IJoEM has been growing for publications and citations since its inception. Four significant research directions emerged, i.e. consumer behaviour, financial markets, financial institutions and corporate governance and strategic dimensions based on cluster analysis of IJoEM's publications. The identified future research directions are focused on emergent investments opportunities, trends in behavioural finance, emerging role technology-financial companies, changing trends in corporate governance and the rising importance of strategic management in emerging markets.

To the best of the authors' knowledge, this is the first study to conduct a comprehensive bibliometric analysis of IJoEM. The study presents the key themes and trends emerging from a leading journal considered a high-quality research journal for research on emerging markets by academicians, scholars and practitioners.

The key aim of this study is to highlight current financial technology (FinTech) trends by conducting a bibliometric review of literature derived from the Scopus database.

A bibliometric analysis was conducted on articles gathered from the Scopus database. Microsoft Excel was used to perform the frequency analysis, VOSviewer for visualising the data, and Harzing’s Publish or Perish for the metrics citation.

According to this investigation, research into FinTech has been consistently increasing since 2008. The results indicate that the most active publisher of FinTech literature is Bina Nusantara University in Indonesia. In terms of country of publication, China is identified as the most active. The most cited author is Buckley, R.P., with Rabbani, M.R., having the most publications. It was also identified that FinTech researches come under three primary domains namely business management, computer science and economics.

The primary limitation of this current study is that it only relied on one data source, i.e. Scopus. Implications wise, researchers and practitioners can gain a deeper understanding of FinTech from this study, which also describes the trend in related publications on the concept. Future studies could significantly benefit from the findings of the present paper.

The outcomes of this study can assist researchers in better comprehending and summarising the key drivers of FinTech. In addition, the findings can help new researchers identify the starting point for their research on FinTech.

As far as the authors are aware, this is the first study that reviews FinTech publications derived from Scopus from 2008 to 2022. Hence, it is a pioneering study into FinTech bibliometric analysis, providing an understanding of the structural knowledge by reviewing the timeline of academic progression in FinTech.

This study describes and analyzes the output of academic research on the topic of social capital. The concept of social capital has attracted the interest of scholars from a range of academic disciplines, and it has been applied to explain a variety of phenomena.

Using the bibliographic approach, I analyzed aggregate data obtained from the Web of Science database. The analyses were carried out using VOSviewer software.

The results show social capital to be a topic of interest in multiple fields of academic research. The findings highlight the important role that journals, including those from disciplines other than the social sciences, have played in divulging this concept, and show that some countries and institutions are more productive and engage in more collaborative research efforts than others.

The main implications of this study regard research on social capital. The results demonstrate how social capital continues to interest scholars from a variety of academic disciplines. Future bibliometric research should include other sources (literature databases) and be expanded to consider other types of publication.

This paper furthers previous research by exclusively focusing on the concept of social capital. It analyzes the international trend in publications up until the end of 2021, thus expanding the publication period considered in previous studies. The results of this study highlight the relevance of bibliometric tools for assessing research performance.

The purpose of this paper was to analyse the research trends on the Indian Open and Distance Education (ODE) system as reflected in the articles published in the prominent journals of distance education across the world.

A study was undertaken to review the research articles on ODE in India published in 11 prominent peer-reviewed journals of distance education during the period 2010–2019. Content analysis was done to find out areas of research undertaken in the ODE of India based on a validated classification of research areas; types of research studies conducted; and authorship and publication patterns.

Out of a total of 2,571 articles published in 11 selected journals, only 191 (7.42%) pertained to ODE in India. The majority of these 191 articles (68.42%) were published in Indian journals. The Indian and Asian journals together accounted for 93.55% of total articles. Globally, the share of articles on the Indian ODE system was significantly low ranging between 4.27 and a maximum of 10.77%, which was much below expectations from a country having the maximum number of ODE learners in the world. Results further revealed that 63% of the contributors to research on ODE in India were affiliated to Indira Gandhi National Open University.

The limitation of this study was only analysing the research articles published in journals of distance education and other types of articles, namely, book reviews, editorials, field notes and workshop reports were excluded from the analysis.

The study is intended to help researchers, policymakers, and open and distance education institutions to draw a roadmap for the promotion and conduct of system-based research, which would be vital for strengthening the system.

The quantum of research is not proportionate to the number of faculty members working in the ODE system of India and the large number of learners that it serves, which is a matter of concern. For any system to grow its periodic systemic review is essential. The research outcomes need to be ploughed back into the system for its betterment.

The study is original. There is no such study undertaken till date. This study will be extremely useful to researchers, as the gaps in distance education research which are yet to be addressed, have been identified by the authors.

This study aims to analyze the impact of Artificial Intelligence (AI) and Machine Learning (ML) on heritage conservation and preservation, and to identify relevant future research trends, by applying scientometrics.

A total of 1,646 articles, published between 1985 and 2021, concerning research on the application of ML and AI in cultural heritage were collected from the Scopus database and analyzed using bibliometric methodologies.

The findings of this study have shown that although there is a very important increase in academic literature in relation to AI and ML, publications that specifically deal with these issues in relation to cultural heritage and its conservation and preservation are significantly limited.

This study enriches the academic outline by highlighting the limited literature in this context and therefore the need to advance the study of AI and ML as key elements that support heritage researchers and practitioners in conservation and preservation work.

This paper aims to explore the research field of digital transformation in small and medium enterprises (SMEs), considering the importance of SMEs in the economic development of countries.

Considering the contributions of researchers and the challenges of SMEs to transform their business models, in this paper, the authors conducted a scientometric analysis using CiteSpace that included 448 documents indexed in Scopus.

The authors appreciated the growth in the number of publications that have studied the digital transformation process in SMEs, showing a niche of researchers interested in the flourishing research topic. Likewise, the authors identified the intention of SMEs to adopt digital technologies such as artificial intelligence, big data, cloud computing, data analytics, electronic commerce and the Internet of Things.

This paper is a valuable resource for academics and researchers in information systems, decision-makers in digital transformation in SMEs and governmental organisations concerned with digital technologies adoption in SMEs to achieve digital transformation and increase competitiveness and productivity.

This study used CiteSpace to conduct a scientometric analysis to explore how researchers have focused on frameworks and maturity models for measuring SME readiness, the impact of Industry 4.0 on SMEs, guides for helping managers evaluate their Industry 4.0 positioning, the development and implementation of digital business strategies for SMEs, the presentation of cases of SMEs that have driven digital transformation and future research opportunities.

This paper aims to focus on research regarding organizational learning (OL) and knowledge management (KM), and to specifically investigate whether OL has been conceptually absorbed by KM.

This study is based on 16,185 articles from the Scopus and ISI Web of Science databases, using VantagePoint 10.0 software. The method used in this study is a systematic literature review covering KM and OL publications from the 1970s, when the OL field started to grow, up to 2016.

Nuclear processes of OL, creation and acquisition of knowledge, have been conceptually absorbed by KM literature in the past years.

Only two databases have been considered, Scopus and ISI Web of Science, because of their academic prestige. However, these databases include a large number of articles on KM and OL. Search terms used could exclude some relevant terms, although all major descriptive terms have been included.

This paper identifies thematic clusters in KM and OL, evolution of both fields, most cited authors and representative journals by topic.

This is the first paper to jointly analyse the evolution of KM and OL. This paper shows a conceptual absorption of OL into KM, which may enrich academic discussion and also provide some clarity to the conceptualization of these two fields.