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Historical newspaper collections provide a wealth of information about the past. Although the digitization of these collections significantly improves their accessibility, a large portion of digitized historical newspaper collections, such as those of KBR, the Royal Library of Belgium, are not yet searchable at article-level. However, recent developments in AI-based research methods, such as document layout analysis, have the potential for further enriching the metadata to improve the searchability of these historical newspaper collections. This paper aims to discuss the aforementioned issue.

In this paper, the authors explore how existing computer vision and machine learning approaches can be used to improve access to digitized historical newspapers. To do this, the authors propose a workflow, using computer vision and machine learning approaches to (1) provide article-level access to digitized historical newspaper collections using document layout analysis, (2) extract specific types of articles (e.g. feuilletons – literary supplements from Le Peuple from 1938), (3) conduct image similarity analysis using (un)supervised classification methods and (4) perform named entity recognition (NER) to link the extracted information to open data.

The results show that the proposed workflow improves the accessibility and searchability of digitized historical newspapers, and also contributes to the building of corpora for digital humanities research. The AI-based methods enable automatic extraction of feuilletons, clustering of similar images and dynamic linking of related articles.

The proposed workflow enables automatic extraction of articles, including detection of a specific type of article, such as a feuilleton or literary supplement. This is particularly valuable for humanities researchers as it improves the searchability of these collections and enables corpora to be built around specific themes. Article-level access to, and improved searchability of, KBR's digitized newspapers are demonstrated through the online tool (https://tw06v072.ugent.be/kbr/).

This research aims to conduct a literature review of Lean Six Sigma (LSS) in the Indian context and related research publications and apply bibliometric analysis and the author's visualization to map research trends in this area.

This article conducts a bibliometric analysis of LSS-related research in the Indian context using data gathered from Scopus and Web of Science databases from 2011 to 2022. The review provides information on LSS-related research in the Indian context and evaluates performance based on primary sources, authors, keywords, countries, affiliations, and documents. The analysis employs the Biblioshiny app and Bibliometrix R-tool for data analysis and scientific mapping.

The results of the bibliometric analysis indicate that the LSS culture has widely spread in India. The International Journal of Lean Six Sigma and Production Planning and Control were found to be the most productive sources for publishing LSS-related research articles. Antony J. was identified as the most active author in this field, contributing the most over the years. Among all organizations, NITs have conducted the most comprehensive research on LSS, indicating their significant investment of resources and efforts in studying this methodology and its applications in India. Additionally, the study examined the intellectual, social, and conceptual structures to identify implicit gaps and future research opportunities.

The findings of this study can inform academicians, researchers, practitioners, and policymakers about the state-of-the-art and the specifics of the most prolific studies. This study will facilitate their exploration of emerging research areas in LSS.

To the best of the authors knowledge, this is the first bibliometric analysis of LSS in the Indian context, providing an overview of relevant publications published between 2011 and 2022. This study analyzed 194 articles on LSS in India, which can help researchers and academics identify emerging research areas, suitable collaborators, and relevant journals for future publications.

This study aims to provide a bibliometric analysis of 1,104 journal articles to explore the multifaceted research field of Islamic finance and banking, explicitly emphasising the impact of the COVID-19 pandemic.

Insights into the evolving trends and dynamics within the academic discourse are presented.

The research highlights different patterns and collaborative networks through co-authorship, co-occurrence and thematic map analyses. Prior to the pandemic, research focused primarily on customer satisfaction and compliance with Shariah principles. However, the pandemic heralded an increased discourse on sustainability, fintech and the financial crisis.

This review describes the prevailing academic terrain and identifies potential avenues for future research, particularly those that examine the socio-economic impact of the pandemic within the context of Islamic finance and banking.

Prominent author such as M. Kabir Hassan, leading institution such as the International Islamic University Malaysia and esteemed journal such as the International Journal of Islamic and Middle Eastern Finance and Management have been instrumental in shaping academic discussions and creating synergies in research. Moreover, Malaysia’s strong commitment to spatial research, evidenced by its robust global collaborations, underscores its pioneering role in the academic world of Islamic finance and banking.

This paper aims to investigate the impact of climate change news on the dynamics of US stock indices.

The empirical basis of the study was 3,209 news articles. Sentiment analysis was performed by a pre-trained bidirectional FinBERT neural network. Thematic modeling is based on the neural network, BERTopic.

The results show that news sentiment can influence the dynamics of stock indices. In addition, five main news topics (finance and politics natural disasters and consequences industrial sector and Innovations activism and culture coronavirus pandemic) were identified, which showed a significant impact on the financial market.

First, we extend the theoretical concepts. This study applies signaling theory and overreaction theory to the US stock market in the context of climate change. Second, in addition to the news sentiment, the impact of major news topics on US stock market returns is examined. Third, we examine the impact of sentimental and thematic news variables on US stock market indicators of economic sectors. Previous works reveal the impact of climate change news on specific sectors of the economy. This paper includes stock indices of the economic sectors most related to the topic of climate change. Fourth, the research methodology consists of modern algorithms. An advanced textual analysis method for sentiment classification is applied: a pre-trained bidirectional FinBERT neural network. Modern thematic modeling is carried out using a model based on the neural network, BERTopic. The most extensive topics are “finance and politics of climate change” and “natural disasters and consequences.”

By distorting the peer review process, predatory journals lure researchers and collect article processing charges (APCs) to earn income, thereby threatening clinical decisions. This study aims to identifying the characteristics of predatory publishing in the dermatology literature.

The authors used Kscien's list to detect dermatology-related predatory journals. Bibliometric parameters were analyzed at the level of journals, publishers, documents and authors.

Sixty-one potential predatory dermatology publishers published 4,164 articles in 57 journals from 2000 to 2020, with most publishers claiming to be located in the United States. Most journals were 1–5 years old. Six journals were indexed in PubMed, two in Scopus and 43 in Google Scholar (GS). The average APC was 1,049 USD. Skin, patient, cutaneous, psoriasis, dermatitis and acne were the most frequently used keywords in the article's title. A total of 1,146 articles in GS received 4,725 citations. More than half of the journals had <10 citations. Also, 318 articles in Web of Science were contaminated by the most cited articles and 4.49% of the articles had reported their funding source. The average number of authors per article was 3.7. India, the United States and Japan had the most articles from 119 involved countries. Asia, Europe and North America had the most contributed authors; 5.2% of articles were written through international collaboration. A majority of authors were from high- and low-middle-income countries. Women contributed 43.57% and 39.66% as the first and corresponding authors, respectively.

The study had limitations, including heavy reliance on Kscien's list, potential for human error in manual data extraction and nonseparation of types of articles. Journals that only published dermatology articles were reviewed, so those occasionally publishing dermatology articles were missed. Predatory journals covering multiple subjects (Petrisor, 2016) may have resulted in overlooking some dermatology papers. This study did not claim to have covered all articles in predatory dermatology journals (PDJs) but evaluated many of them. The authors accept the claim that Kscien's list may have made a mistake in including journals.

The wide dispersion of authors involved in PDJs highlights the need to increase awareness among these authors.

Effectively engaging patients is critical for the sustainable development of online health communities (OHCs). Although physicians’ general knowledge-sharing, which is free to the public, represents essential resources of OHCs that have been shown to promote patient engagement, little is known about whether such knowledge-sharing can backfire when superfluous knowledge-sharing is perceived as overwhelming and anxiety-provoking. Thus, this study aims to gain a comprehensive understanding of the role of general knowledge-sharing in OHCs by exploring the spillover effects of the depth and breadth of general knowledge-sharing on patient engagement.

The research model is established based on a knowledge-based view and the literature on knowledge-sharing in OHCs. Then the authors test the research model and associated hypotheses with objective data from a leading OHC.

Although counterintuitive, the findings revealed an inverted U-shape relationship between general knowledge-sharing (depth and breadth of knowledge-sharing) and patient engagement that is positively associated with physicians’ number of patients. Specifically, the positive effects of depth and breadth of general knowledge-sharing increase and then decrease as the quantity of general knowledge-sharing grows. In addition, physicians’ offline and online professional status negatively moderated these curvilinear relationships.

This study further enriches the literature on knowledge-sharing and the operations of OHCs from a novel perspective while also offering significant specific implications for OHCs practitioners.

The growth of social media globally has led to brands adopting memes as a tool for communication. They have influenced digital culture, politics and marketing. This study aims to highlight the research gap in meme literature by profiling and science mapping.

This study has performed a bibliometric analysis of research papers on memes from the Scopus database. The authors profiled the literature and found the most relevant journal, author and document. Science mapping techniques such as thematic analysis, thematic evolution and co-citation of papers with content analysis were used.

Profiling of literature revealed that the most relevant journal, based on a number of papers and citations, is New Media and Society. The top researcher on memes is Shiffman L (seven papers), and the most cited author is Menczer F (717 citations). The paper titled “Towards A Unified Science of Cultural Evolution” has the highest number of citations (402). Thematic mapping revealed “Social Movements” and “Twitter” are the currently trending themes. The co-citation analysis clustered the literature into two. The first cluster elucidates the theoretical underpinnings of memes, while the second cluster explicates the various contexts in which memes are studied.

This study will be vital to researchers hoping to study internet memes by providing directions for future research. Furthermore, the insights from this study will enable social media managers to use memes effectively.

To the best of the authors’ knowledge, this study seems to be the first to use bibliometric analysis to profile and map meme literature. This study provides a new perspective for meme researchers to explore memes and suggests marketers implement novel meme-based strategies in their marketing communications.

The authors examine and compare accounting associations' identities in distinct segments of the accounting profession surrounding the 2014 merger of three Canadian accounting associations.

The authors conceive of accounting associations' magazine front covers as a setting for “identity performance” (i.e. a scenery through which identity dimensions are intentionally communicated to target audiences). The authors examine pre-merger and post-merger associations' identity performances that took place between January 2011 and December 2020 and identify 21 broad themes that the authors interpret in terms of identity logics (i.e. professionalism/commercialism) and audience focus (society/association members), underscoring (dis)similarities in identity performances pre- and post-merger.

The authors' analysis reveals distinct identity performances for the different segments of the pre-merger accounting profession and for the post-merger unified accounting association. Identity logics manifest differently: a commercial logic dominated for two of the associations and a professional logic dominated for the third. Identity fluidity was evident in the merged association's shift from commercial toward professional logic when the association ceased publishing one magazine and introduced a new one. Society rather than associations' members dominated as a target audience for all associations, but this focus manifested differently. Post-merger, identity performances continued to focus on society as the audience.

The authors highlight the Goffmanian identity performances (Goffman, 1959) taking place via accounting associations' magazines. The authors adopt a segment perspective (Bucher and Strauss, 1961) that demonstrates that commercialism does not trump professionalism in all segments of the profession. For the first time, the authors juxtapose identity logics (professionalism/commercialism) and targeted audiences to better understand how these facets of accountants' identities compare between segments.

The purpose of this study is to provide a systematic review of research development on auditing in the European Union over the past decade and suggest future research directions.

Following the PRISMA protocol, the authors systematically reviewed the relevant literature and conducted a qualitative content analysis of 107 studies on auditing in the European Union published between 2012 and 2023.

The results indicate increased auditing literature in the European Union from 2012 to August 2023. Around 40% of the papers were focused on six nations: Germany, Spain, Italy, the UK, Sweden and France. Additionally, 35.5% of papers have been published in three major journals: Accounting in Europe, International Journal of Auditing and the European Accounting Review. Moreover, 82.24% of papers used quantitative methods, with a few using qualitative or mixed methods. Also, most of the studies in the sample endorsed the European Union’s auditing reforms, which included implementing a cap on nonaudit fees and enhancing the independence of audit committees. Contrary to this viewpoint, multiple studies have expressed disagreement with enforcing a total prohibition on nonaudit services, as certain services can enhance auditing quality. Similarly, other studies have contested the necessity of mandatory auditor rotation every 10 years, citing the significant additional expenses associated with this practice. Finally, further studies supported the European Union’s decision to make the joint audit voluntary, as it is related to high audit fees and low audit quality.

The limitations of this research primarily stem from the authors’ choices in selecting the database and defining the criteria for searching the studied papers.

This paper offers valuable insights into the future research prospects in the European Union’s auditing field. Hence, this analysis can be helpful for researchers and practitioners in developing this field based on future research recommendations and the identified themes.

To the best of the authors’ knowledge, this paper is the first study to systematically review the developments of the European Union auditing literature over the past decade.

The aim of this study was to conduct a systematic literature review (SLR) on vlog marketing. The focus was to analyse the major themes in this field and provide insights for future research directions.

The authors reviewed a total of 49 peer-reviewed publications that include the search terms “vlog” or “video blog” in their titles, keywords and abstracts, retrieved from digital databases Scopus and Web of Science, up to the end of July 2023. Thematic analysis was used to examine and synthesise the articles.

The authors found 19 sub-themes and identified four major themes that emerged from the literature: (1) endorsement outcomes, (2) vlogger characteristics, (3) consumer credibility and (4) vlog content crafting.

There are many unanswered questions in the literature, suggesting that vlog marketing research is still in its infancy, and that in-depth further studies are required for a more comprehensive understanding of the field. This study has identified potential avenues for future research that may contribute to the existing body of knowledge and valuable insights on vlog marketing.