1,720,994 research outputs found
Navigating the crowdfunding landscape: a study of knowledge trajectories based on main path analysis
No full textPurpose - Crowdfunding (CF) has become an increasingly popularmeans of financing for entrepreneurs and has attracted significant attention fromboth researchers and practitioners in recent years. The purpose of this study is to investigate the core content and knowledge diffusion paths in the CF field. Specifically, we aim to identify the main topics and themes that have emerged in this field and to trace the evolution of CF knowledge over time.Design/methodology/approach - This study employs co-word clustering and main path analysis (MPA) to examine the historical development of CF research based on 1,528 journal articles retrieved from the Web of Science Core Collection database.Findings - The results of the analysis reveal that CF research focuses on seven themes: sustainability, entrepreneurial finance, entrepreneurship, fintech, social entrepreneurship, social capital, and microcredits. The analysis of the four main paths reveals that equity CF has been the dominant topic in the past years. Recently, CF research has tended to focus on topics such as fintech, the COVID-19 pandemic, competition, Brexit, and policy response.Originality/value - To the authors' best knowledge, this is the first attempt to explore knowledge diffusion dynamics in the CF field. Overall, the study offers a structure for analyzing the paths through which knowledge is diffused, enabling scholars to effectively manage a large volume of research papers and gain a deeper understanding of the historical, current, and future trends in the development of CF
Correction to: Circular Economy Research in the COVID-19 Era: A Review and the Road Ahead (Circular Economy and Sustainability, (2023), 10.1007/s43615-023-00265-2)
No full text: [This corrects the article DOI: 10.1007/s43615-023-00265-2.]
Foundations and knowledge clusters in TikTok (Douyin) research: evidence from bibliometric and topic modelling analyses
No full textThe goal of this study is to comprehensively analyze the dynamics and structure of TikTok research since its initial development. The scholarly composition of articles dealing with TikTok was dissected via a bibliometric study based on a corpus of 542 journal articles from the Scopus database. The results show that TikTok research has flourished in recent years and also demonstrate that the authors' collaboration networks are disjointed, indicating a lack of cooperation among TikTok researchers. Furthermore, the analysis reveals that research collaboration among academic institutions reflects the North-South divide, also highlighting a limited research collaboration between institutions in developed and developing countries. Based on the keyword co-occurrence network and topic modeling, TikTok research revolves mainly around five thematic areas, including public health, health communication and education, platform governance, body image, and its impact on children and students. Based on these findings, numerous suggestions for further research are offered. As far as the authors are aware, this is the first application of bibliometrics and topic modeling to assess the growth of TikTok research and reveal the intellectual base of this knowledge domain
Mapping the knowledge domain of green procurement: a review and bibliometric analysis
No full textThe goal of green procurement, also called green purchasing, is to reduce waste and improve operational efficiencies to enhance sustainability. Although this practice has gained importance in recent years and garnered significant scholarly attention, there is a lack of bibliometric studies evaluating the green procurement field. To close this gap, we leverage bibliometrics to comprehensively summarize the literature and identify existing research hotspots and trends. Specifically, we employ bibliometric tools to analyze keywords, identify influential authors, universities, and research areas and reveal the most important publications in terms of citations. The analysis shows that sustainable development, sustainability, green supply chain management, and green public procurement are core topics related to green procurement. The co-citation analysis further reveals five important research clusters in the literature, namely green public procurement, green supply chain management, green supplier selection and evaluation of green performance, networked sustainable procurement, and green procurement in the construction sector. This study makes a contribution to the green procurement literature by summarizing this quickly growing field and providing timely guidance as to future research directions
Mapping the scholarly research on restaurants: a bibliometric analysis
No full textArtificial intelligence (AI) has advanced at an astounding rate and transformed
numerous economic sectors. Nevertheless, a comprehensive understanding of how AI
can improve the agri-food industry is lacking. In addition, there is a notable dearth of
research on AI that investigates the influence of AI on agri-food resources and
educates practitioners on the significance of knowledge-based and smart agriculture.
We utilized bibliometric analysis to investigate the present state of the art and
emerging trends in the relationship between AI and the agri-food industry. The
research identified three distinct growth phases and the most prevalent AI strategies in
the industry. In addition, we analysed key trends and offered researchers and
practitioners insightful recommendations for future research. Using resource-based
view (RBV) as the theoretical lens, this study established a framework emphasising the
long-term effects of AI on various agri-food resources and proposed several research
propositions. In addition, AI-related obstacles have been identified and categorised into
four major categories. Lastly, the originality of the article lies in its numerous research
suggestions and recommendations for advancing the AI field in the agri-food industr
Mapping the research landscape of blockchain and crowdfunding
No full textBlockchain technology and crowdfunding (CF) have emerged as disruptive forces in the finance and entrepreneurship landscape, potentially transforming traditional modes of capital raising and investment. This study investigates the intersection of blockchain technology and CF to provide a comprehensive overview of the current state of research through a systematic literature review and bibliometric analysis. By examining 219 publications sourced from Scopus, this study employed descriptive statistics, article co-citations, and keyword co-occurrence to identify key bibliometric indicators, themes, and trends. The findings reveal a surge in research activity related to blockchain and CF, emphasizing initial cryptocurrency offerings, financial technology (Fintech), and the role of blockchain in improving transactional efficiency, disintermediation, and venture capital CF. Keyword co-occurrence analysis reveals diverse research themes, including smart contracts, fundraising campaigns, sustainable entrepreneurship, and Islamic Fintech. Based on the findings of this analysis, several implications and directions for further investigation are highlighted. To the best of our knowledge, this is the first attempt to analyze the intersection of blockchain technology and CF using scientometric techniques systematically
Navigating the landscape of public–private partnership research: a novel review using latent Dirichlet allocation
No full textPurpose - Given the growing significance of contemporary socio-economic and infrastructural conversations of Public-Private Partnerships (PPP), this research seeks to provide a general overview of the academic landscape concerning PPP. Design/methodology/approach - To offer a nuanced perspective, the study adopts the Latent Dirichlet Allocation (LDA) methodology to meticulously analyse 3,057 journal articles, mapping out the thematic contours within the PPP domain. Findings - The analysis highlights PPP's pivotal role in harmonising public policy goals with private sector agility, notably in areas like disaster-ready sustainable infrastructure and addressing rapid urbanisation challenges. The emphasis within the literature on financial, risk, and performance aspects accentuates the complexities inherent in financing PPP and the critical need for practical evaluation tools. An emerging focus on healthcare within PPP indicates potential for more insightful research, especially amid ongoing global health crises. Originality/value - This study pioneers the application of LDA for an all-encompassing examination of PPP-related academic works, presenting unique theoretical and practical insights into the diverse facets of PPP
Mapping the scholarly landscape of TikTok (Douyin): A bibliometric exploration of research topics and trends
No full textThe TikTok platform has become widely popular among younger generations and has influenced various industries
and aspects of life. This systematic literature review, using bibliometric methods, aims to examine the
evolution of TikTok research from its initial development to its current status. A total of 402 journal articles from
2019 to 2022 were systematically selected from the Web of Science Core Collection. Descriptive statistical
analysis identified the most contributing academic institutions, nations, journals, scholars, and influential
studies. Using CiteSpace, three visualization types were implemented: cluster views, timezone views, and
timeline views. The study results indicate that several TikTok research clusters exist, which summarize important
topics such as the platform’s overall impact on society, politics, culture, as well as human-centric issues such as
social attachment, functional tics, and their implications for public health. According to the co-word analysis,
TikTok research revolves around body consciousness, social behavior, consumer behavior, and news media. The
comprehensive mapping of TikTok research provides valuable insights into the current state of knowledge and
identifies numerous relevant technical and social areas for future investigation. As the first bibliometric review of
TikTok research, this study offers an important foundation for future scholarly inquiry in various areas
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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