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The purpose of this paper is to identify the leading topics and developmental trends of archival information resource research in China by visualizing the intellectual structure and evolution patterns of archival information resource research.

This study took China National Knowledge Infrastructure (CNKI) as the data source and extracted keywords from relevant articles in archival information resource research as the sample. First, the frequency and co-occurrence of keywords were calculated by using SCI2. Second, this study analyzed the co-word network indicators by using Pajek. Then, topic community detection was conducted by using a VOS viewer, as well as the visualization of intellectual structures. Next, this study developed a graphical mapping of the evolution of research topics over time by using Cortext.

The research topics of archival information resources in China were unbalanced but distinct. Researchers focus on the construction and utilization of archival information resource, which consist of five evident research directions. The phenomena of fusion and differentiation coexist in research topic evolution. There were both continuities of traditional research and innovations in emerging research. The archival information resource research tended to be systematized and extended, reflecting the vertical and horizontal extension of the research content.

Based on a large number of previous studies, this study adopted quantitative methods to reveal the intellectual structure and evolution patterns of archival information resource research in China, providing guidance for researchers and institutions to grasp research status and developmental trends.

This bibliometric review aims to display visually the intellectual communities (i.e. the cooperation networks among various countries, institutions, journals and individuals), the intellectual structure (i.e. the status quo and development trajectory of the intellectual base) and emerging hot topics of the female entrepreneurship research in 1975-2018. Based on the comprehensive review of the state-of-the-science, this paper aims to identify significant research gaps in extant studies and develop potential future research agendas that may catalyse new streams of female entrepreneurship research.

Bibliometric analysis via science mapping provides in-depth analyzes, highlights the intellectual structure and identifies hot topics. Using CiteSpace, co-citation networks of contributing countries, institutions, cited journals and authors are mapped first. Second, co-citation network analysis helps to identify the key “nodes” in the intellectual structure. The landscape view identifies main clusters from an overall perspective, while a timeline view delineates the characteristics and evolution of focal clusters. Major clusters are interpreted in detail with the help of foam tree graph processed by Carrot. Finally, the co-occurrence network analysis is conducted by using VOSviewer to examine hot topics and research frontiers

The findings show that the publications of female entrepreneurship increase exponentially. The major driving force of female entrepreneurship research is from the USA and England. In terms of intellectual structure, key concepts behind different clusters represent the major milestones in relation to individual determinants of female entrepreneurship, the impact of cultural and contextual factors on female entrepreneurship and female entrepreneurship in non-OECD countries, as well as the impact of family, social and institutional factors on the survival and exit of male and female enterprises. Hot topics include financing sources, the embeddedness nature, the impact and environmental factors of female entrepreneurship.

This study presents important practical implications. The findings suggest that intellectual communities of the female entrepreneurship field are relatively loose. Close contact and cooperation among different countries, institutions and researchers are lacking. To promote the evolution of the field, researchers who belong to different institutions in different countries may need to strengthen contact and cooperation. Additionally, papers in journals from the business and management discipline are most cited in this field, preventing new knowledge from other disciplines flowing into the female entrepreneurship field. Accordingly, female entrepreneurship research journals may need to expand their focus and combine knowledge from various domains.

This bibliometric review provides a more comprehensive, systematic and objective review of the female entrepreneurship field. Previous qualitative reviews are typically based on personal judgement, while a few quantitative reviews only describe statistical data. This study is based on thousands of citation data rather than a small number of papers pre-selected by the researcher, thus, is more data-grounded and less biased than prior reviews. It expands previous reviews by transparently visualizing the underlying structure and evolution of the field. Moreover, it highlights significant gaps in extant studies and develops future research agendas to catalyse new streams of research.

This paper aims to present a longitudinal and visualizing study using scientometric approaches to depict the historical changes in the academic community, intellectual base and research hotspots within the business domain.

Two mapping methods are used, namely, co-citation analysis and co-occurrence analysis. Both the co-citation analysis and co-occurrence analysis in this study are conducted using CiteSpace, a Java-based scientific visualization software.

This paper detects changes in academic communities in 24 business journals chosen by the University of Texas at Dallas as leading journals (UTD24) and identifies the research hotspots such as corporate governance, organizational research and capital research. Many authors and academic communities appear in two or even three periods, which indicates the lasting academic vitality of scholars in this field. This paper determines the evolution of scholars' research interests by identifying high-frequency keywords during the entire period.

This paper reveals a systematic and holistic picture of the developmental landscape of the business domain, which can provide a potential guide for future research. Furthermore, based on empirical data and knowledge visualization, the intellectual structure and evolution of the business domain can be identified more objectively.

This study aims to identify evolution and advancement in the field of business-to-business (B2B) loyalty knowledge area by analyzing its intellectual structure.

The authors use bibliometric analysis for quantitative evaluation of scholarly studies published on B2B loyalty area over a period of 27 years (1993–2020). The authors analyze intellectual knowledge base of B2B loyalty area by looking into 263 studies with 14,028 references authored by 693 researchers.

The results provide a comprehensive review of B2B loyalty area by identifying its foundations, influential works and intellectual communication linkage between these works. Notably, the analysis reveals most cited studies, key authors, important keywords, intellectual turning points and emerging trends of research in the discipline.

This study creates a baseline for presenting precise and comprehensive insights into research themes in B2B loyalty area, and identifies progressive trends over a period. This study is also helpful for researchers in identifying future directions of research in the discipline.

This study reveals the intellectual structure of B2B loyalty area.

Journal of Knowledge Management (JKM) is the foremost academic source of knowledge management research. Therefore, to understand the intellectual structure of knowledge management research, this study aims to examine the thematic patterns and evolution of research in JKM.

Using bibliographic coupling analysis, this study analyzes and maps the intellectual structure of the research published in JKM from 1977 to 2021. It also presents the trends among methodological choices of JKM authors. The study also explores the major components of JKM’s impact, wherein a negative binomial regression analysis is used to uncover the major factors influencing the journal’s citations.

The findings suggest that the intellectual structure of JKM broadly consists of four major themes: antecedents and consequences of knowledge management, innovation and knowledge management, complexities in knowledge management and firm performance, and knowledge sharing in knowledge management. The findings also reveal the drivers of citations for JKM through the universalism (article order, open access), social constructivism (European and FT100 institution affiliation, references, funding) and presentation (tables, models, appendices, article age) perspectives.

This inclusive overview of JKM will provide useful insights for its editorial board, readers and scholars to chart the ways forward for JKM and the future of knowledge management.

To the best of the authors' knowledge, this study is the first of its kind to identify the factors that contribute to JKM's impact from a citation perspective.

This study investigates the intellectual structure of the front-end of innovation (FEI) research field and elaborates a lifecycle model, which embraces the FEI progress and conceptual development.

This study analysed 355 papers published from 1987 to 2020 in the Scopus and Web of Science databases through bibliometrics, network analysis and content analysis.

This study reveals FEI research themes and topics and explores their evolution through three periods. In addition, following a lifecycle approach, it also sets the research field foundation and discusses the maturity and potential progress of the FEI intellectual structure.

This study complements the existing FEI reviews by capturing the most relevant topics in the area, showing how these topics relate to each other to form the intellectual domain and providing insights concerning the research progress through different lifecycle stages. It also extends the FEI database used in the other literature reviews.

This study aims to design a national innovation capability appraisal model. This would indicate Iran’s competitiveness situation among regional countries and suggest factors influencing Iran’s performance promotion.

The methodology included four sections: bibliometric analysis to discover intellectual evolution of innovation capability and related concepts; construction of a multi-division structure of national innovation capability according to the clusters extracted from bibliometric results, and experts’ opinions; creating dynamic network data envelope analysis (DEA) according to designed structure, and analysis of Iran’s performance among regional countries; identification and prioritization of the factors extracted from experts’ opinions that improve Iran’s performance in created network using Fuzzy decision-making trial and evaluation laboratory method.

The contemporary bibliometric analysis by its extracted clusters proved the necessity of a multi-division for measuring national innovation capability performance that each division and indicators of each step were designed according to clusters concepts. In designed structure, dynamic network DEA results revealed the weakness of Iran’s performance in the third division in the transformation of patents and high-tech imports to high-tech and creative exports, which led to proposing improving factors by getting experts’ opinions to enhance Iran’s performance in this division by prioritizing them.

One of the limitations of this research was that the indicators used in three phases of national innovation capability in DEA were extracted only from the World Intellectual Property Organization database. Another limitation was the number of experts in focus group sessions because due to the difficulty of gathering them in one session, the researchers lost the participation of some of these recognized experts. Also, the research concentration was on the improvement of the third phase of national innovation capability, in which Iran’s performance was weak.

Creating a relationship between the divisions of dynamic network DEA, as a national innovation capability appraisal model, and the concepts of clusters extracted from reviewing the intellectual structure and evolution of innovation capability and related concepts.

The aim of this article was to present a retrospective assessment of the intellectual structure of private agricultural and food standards research in global trade. This study was motivated by the increasing role of standards and certifications in governing global agricultural and food trade.

The current investigation was carried out with bibliometric methods using VOSviewer software. Techniques such as citation, co-citation, keyword co-occurrence, keyword evolution and co-authorship analyses were performed to tackle the research questions. Articles were extracted from Scopus database for the period 1998–2022 (30th August 2022) with selected keywords (“Private food standard*” OR “food standard*” OR “agri-food standard*” AND “agri*” OR “agro*” OR “farm*” OR “food*” AND “international trade” OR “global trade” OR “international business”) along certain filters (subject – Economics and Business management: language – English: Document – article and review articles and source – journals).

The results show that the intellectual structure of private agricultural and food standards research in global trade has evolved around five clusters, namely: (1) the political economy of food standards, (2) food standards and their challenges in global trade, (3) food standards and integration into value chains, (4) food standards and market access and (5) food standards and exports from developing countries. However, the authors found the research gaps in each of the thematic clusters.

The main limitation of this study is that the authors focused their attention on certain aspects of bibliometric review, such as the intellectual structure of the field, the citation analysis and the collaboration network. Future research could attempt to explore new field development through bibliographic coupling and deepening of conceptual structure using content analysis by incorporating the research methods used in the respective studies.

The emerging research areas in private agricultural and food standards in global trade are related to topics on food quality, sustainable development, genetically modified organisms, World Trade Organization, tariff structure, trade agreements, food industry and European Union. However, there is less research and little collaboration between Africa and developed countries. For example, Africa's total publications were (15), while the US had (46), China (15), Belgium (23), Germany (27), Italy (32) and the UK (24).

There are limited studies that have conducted a retrospective evaluation of the intellectual structure of private agricultural and food standards research in the global trade using bibliometric analysis. The present investigation is novel in identifying the thematic research clusters, emerging issues and future research directions. This is more important to developing countries as their agricultural produce face challenges to access markets of the developed world.

Over the past three decades, numerous conceptual and empirical studies have discussed momentum investment strategies’ presence, pervasiveness and persistence. However, science mapping in the field is inadequate. Hence, this study aims to comprehend and explore current dynamics, understand knowledge progression, elicit trends through thematic map analysis, synthesize knowledge structures and provide future research directions in this domain.

The study applies bibliometric analysis on 562 Scopus indexed articles from 1986 to 2021. Biblioshiny version 3.1.4, a Web-based application included in Bibiliometrix package developed in R-language (Aria and Cuccurullo, 2017), was used to examine: the most prominent articles, journals, authors, institutions and countries and to understand the thematic evolution and to elicit trends through the synthesis of knowledge structures including conceptual, intellectual and social structures of the field.

Motor themes, basic transverse, niche and emerging and declining themes were identified using (Callon, 1991) strategic thematic map. Besides, four major clusters based on a cocitation network of documents were identified: empirical evidence and drivers of momentum returns, theories explaining momentum returns and implications for asset pricing and market efficiency, avoiding momentum crashes and momentum in alternative asset classes, alternative explanations for momentum returns. The study infers that momentum research is becoming multidisciplinary given the dominance of behavioral theories and economic aspects in explaining the persistence of momentum profits and offers future research directions.

The study deploys bibliometric analysis, appropriate for deriving insights from the vast extant literature. However, a meta-analysis might offer deeper insights into specific dimensions of the research topic. Besides, the study’s findings are based on Scopus indexed articles analyzed using bibilioshiny; the database and software limitations might have affected the findings.

The study is a ready reckoner for scholars who intend to recognize the evolution of momentum investment strategies, current dynamics and future research direction. The study offers practitioners insights into efficiently designing and deploying momentum investment strategies and ways to avoid momentum crashes.

The study offers insights into the irrational behavior and systematic errors committed by market participants that helps regulators and policymakers to direct investors’ educational efforts to minimize systematic behavioral errors and related adverse financial consequences.

This comprehensive study on momentum investment strategies evaluates research trends and current dynamics draws a thematic map, knowledge progression in the field and offers future research directions.

Diversity management has gained researchers' and practitioners' attention because of its competitive advantage and performance outcomes in an organization. Despite increasing literature, there is no common understanding of the evolution and intellectual structure of diversity management. Therefore, this study aims to identify the leading works and analyze the changes in diversity management research's knowledge structure.

This study adopts a novel approach using bibliometric methods to analyze the 785 papers published between 1990 and 2019. Bibliometric analysis is applied to identify the seminal work using the bibliometrix package.

The bibliometric network visualization findings have highlighted the most influential works, prominent authors, theoretical insights, current research trends and gaps. Several clusters are extracted from bibliometric networks, and cluster analysis has integrated the different unconnected subfields and highlighted the major theme explored in diversity management research.

This is the first bibliometric study that explored the intellectual structure of diversity management research. This study has provided theoretical and practical contributions for academicians and human resource practitioners and suggested future research avenues.