Top Journals Research Articles

A critical review of dark tourism studies

The topic of dark tourism emerged in the last three decades as tourism became more accessible. It allows forgotten history to be revised and transferred to the public. This study aims to restructure existing categorization regarding dark tourism and address the research gaps in dark tourism studies. We collected studies from international publication databases – Scopus, Web of Science, and Google Scholar. We pre-processed the following data for each study: topic, authors’ location of university affiliation, study area, year of publication, top-cited articles, top productive journals in publishing dark tourism studies, keywords, and internality/externality of the author from the study area. With the current paper, we analysed review articles published from 1996 to 2024 (first quarter), applying qualitative methods. Based on these, a new analytical framework was generated. Furthermore, the connections between research topics were also analysed. The results of the analysis highlight specific research gaps in the literature on dark tourism and address poorly visible research fields in international journals, e.g. terrorism-related research, social media links of dark tourism, postcolonial contexts, or commemoration of communist past and heritage. Consequently, certain countries and regions are underrepresented in the literature. This critical review offers new research areas but also gives some directions to the theoretical enrichment of the dark tourism concept.

Investigating Empirical evidence on the Epidemiology, Diagnosis and Bibliometric analysis of the 100 topmost cited publications on Tuberculosis Disease

Tuberculosis (TB) disease remains a growing threat in public health globally. This study explored the epidemiology, diagnosis, management, and bibliometric analysis of the top 100 most cited articles on TB. The study adopted a narrative review and bibliometric analysis to explore publications on TB disease. Publications in the Web of Science were retrieved to provide extensive selection process. The present study of top 100 articles which are mostly cited are reported between 1969 to 2018. Reported documents were published in 37 journals, and a total of 1058 authors contributed with 10.5 authors per document, and 12 countries contributed, with most of TB research originating from the US (N=51) articles. We found 1058 occasional authors, and of these, 971 authors (0.003%) presented only three articles, followed by 11 authors (0.010%) and 18 authors (0.017%), respectively. About (n=34) research was published in General & Internal Medicine and Science & Technology. New England Journal of Medicine with 14 was top journal. The lead research institution was the University of Cape Town. The significant correlations were found between the number of citations and documents per year (r=0.9579, p<0.0001), countries (r=0.9570, p<0.0001), article per journal (r=0.8721, p<0.0001), and authors (r=0.4601, p<0.0001), and documents per Institution (r=0.6159, p<0.0001). A new insight into TB scientific production was through social network. The evidence from this study provides a template for understanding the epidemiology of TB and the trends in research. It also exposes the hotspot of research along with research gaps for future studies.

Decoding business analytics: discovering the hidden core through a novel taxonomy

PurposeThis study develops a comprehensive taxonomy of the business analytics (BA) discipline, uncovering its intellectual core and revealing its evolution over the past 12 years.Design/methodology/approachUsing stakeholder-driven identity formation theory, this study explores how organizational identity emerges through stakeholder negotiations. It investigates how top scholarly journals shape the BA discipline’s image and influence perceptions. High-quality articles from top journals listed by the Australian Business Deans Council are analyzed using latent Dirichlet allocation (LDA), a natural language processing and topic modeling method.FindingsThe study outlines key research areas identified as analytics methods, marketing, finance, operations and decision support analytics, along with 12 subareas. An analysis of the top 100 topics reveals prevalent research themes, showcasing the breadth of BA. A 12-year time-series review shows initial growth followed by maturation across most areas, except for decision support analytics, which maintained steady growth. These findings provide empirical evidence of BA’s development as a distinct discipline, highlighting its interdisciplinary nature and evolving research focus.Originality/valueThis study presents the first comprehensive, data-driven taxonomy of BA research, distilling the intellectual core into five key areas and 12 subareas, while identifying 100 supporting themes. It extends the stakeholders’ approach to identity development theory in the context of BA, providing empirical support for discussions on the field’s identity and diversity. The findings offer valuable insights for scholars, industries, managers and professionals, guiding curriculum development, research directions and practical applications of BA.

Impulsive consumer digital shift: virtual reality as a new mode of physical experience

People are now attempting to develop an ideology for the digital transformation of contemporary consumers, which requires a deep understanding of the basic constructs or variables behind this type of migration. The current research model is based on nearly 61 research papers from top marketing journals to understand the impact of variables like technology, social media, online reviews, consumer engagement, and marketing ethics on the digital transformation of online consumers. A thorough analysis of the literature was conducted to identify independent and dependent variables, along with their supporting components, and then distributed a questionnaire reflecting these variables to 1187 participants for data collection. PLS-SEM, with its robust and reliable measuring standards, was incorporated owing to its ability to manage complex models with multiple variables and indicators. Research predictions has aimed to find out the digital shift amongst modern consumers, checking the impact of extracted variables, i.e. technology, social media, online reviews, consumer engagement, and marketing ethics. The results clearly validates that customer engagement through customer reviews and social media has a priority influence on the digital shift of online consumers, backed up by the attributes of marketing ethics and technology.

Use of Artificial Intelligence in Peer Review Among Top 100 Medical Journals

This cross-sectional study of 100 top medical journals examines policies for use of artificial intelligence (AI) and generative AI in peer review.

Large language models in ophthalmology: A review of publications from top ophthalmology journals

Large language models in ophthalmology: A review of publications from top ophthalmology journals

Shocking projections: The rise of the [x-shock] construction complex in macroeconomics

How do economists think and talk about contingency? They express shock, but not in the typical sense of being surprised. In fact, mainstream economists build models in which shocking events are expected variables. An investigation of nominal forms in the [x-shock] construction (e.g., “technology shock,” “supply shock,” or “monetary shock”) among economists reveals a steep increase in the late twentieth century. We report on a large-scale empirical investigation of influential economic textbooks, top economic journals, and US Federal Reserve documents. Each corpus shows a steep rise in the frequency of nominal [x-shock] beginning in the 1980s. This quantitative analysis lays the groundwork for a qualitative analysis of the various uses of [x-shock] among economists from different schools. First, the rise of nominal shock typifies a process of de-subjectification in which shock moves from its more direct experiential uses toward a role of abstract causation. Second, the steep rise in usage coincides with the rise of general equilibrium models in some economic schools of thought. These models assume a particular type of force dynamic logic. In response, other schools invoke a contrasting force dynamic logic. These developments in the [x-shock] construction show not only semantic change but also the disciplinary logics consolidating that change.

A longitudinal examination of collaboration diversity among communication scholars: 1990–2023

Abstract This study examines racial diversity in co-authorship in articles published in communication journals and its association with citations accrued over time. We analyzed 76,217 publications from 73 communication journals, spanning from 1990 to 2023, with a focus on racial diversity in authorship as an indicator of collaboration diversity. Our results reveal that diversity is positively associated with the number of citations received, with this positive effect increasing over time. In addition, non-White lead authors collaborated more diversely, whereas White authors exhibited a faster increase in collaboration diversity over the years. Furthermore, the positive association between collaboration diversity and citations was more pronounced when the lead author was non-White than when White. Additional analyses show a concerning disparity: While non-White first authors are equally likely as their White counterparts to publish in top journals, they receive significantly fewer citations.

Literature Searches in Medical Informatics Systematic Reviews: Suggested Approaches

This study explores database selection for systematic reviews in medical informatics, addressing challenges researchers face in maximizing relevant article retrieval. Systematic reviews from top medical informatics journals in 2021 were analyzed, divided into randomized control trials and non-randomized control trials groups. Four databases were evaluated based on Recall, Precision, and Unique references. Findings revealed that for randomized control trials, the best combination was PubMed, Embase, and Web of Science, while for the non-restricted group, recommended combination included PubMed, Embase, Web of Science, and Scopus, highlighting effective literature search strategies

A Decade of Vertebrate Palaeontology Research in the UK: Bibliometric and Topic Modelling Analysis

The study of vertebrate palaeontology in the United Kingdom holds a significant position in global research. This study conducts a comprehensive bibliometric analysis and topic modelling of UK vertebrate palaeontology from 2014 to 2023, utilizing data from the DeepBone database and Web of Science. A total of 2884 publications were analysed using bibliometric methods and Latent Dirichlet Allocation (LDA) to identify key research themes, institutional contributions, and international collaborations. The results reveal a significant increase in publication volume over the decade, peaking in 2021 with 374 papers. High-impact journals such as Nature and Science published approximately 6.60% of the total papers. The LDA analysis identified seven primary research themes, including morphology, palaeoanthropology, evolutionary biology, and geological periods. The Natural History Museum, University of Bristol, and University of Oxford emerged as major contributing institutions. Scientists from the United States were found to be the most frequent international collaborator. The average impact factor of the top journals in the field was 8.28 in 2024, highlighting the high quality of UK vertebrate palaeontology research. This study provides objective insights into the current state of vertebrate palaeontology in the UK, emphasizing its multidisciplinary nature, the importance of international cooperation in the field.

Bibliometric analysis of banking frauds and scams literature

Purpose This paper aims to undertake an evaluation of the research development and works associated with banking frauds and scams. Design/methodology/approach The authors have conducted bibliometric analysis of 288 studies on issues of banking frauds and scams, published up to August 4, 2024 using Scopus and the VOS viewer software. Findings This study disseminates top influential authors, countries, journals, papers, funding institutions and affiliations relating to banking frauds and scams. Generally, although a great deal of work has been accomplished in this area, there are prominent gaps in such findings. Originality/value To the best of the authors’ knowledge, this paper is the first comprehensive review of extant research relating to banking frauds and scams. It hence represents an original piece of work in applying bibliometric analysis to this topic area, offering valuable insights for practitioners and academics who seek to understand more about banking frauds and scams risks.

Emotion as Cause, Effect, Mediator, and Moderator in Marketing: An Integrative Review and Future Research Directions

ABSTRACTThe study aims to synthesize four decades of research on emotions in marketing by delving into the specifics of who, where, how, what and when. Using quantitative and qualitative methods, 453 articles from top marketing journals were analysed. The study first presents a descriptive account of publication and citation metrics and theoretical underpinning, resolving contestation around emotion function as cause, effect, mediator and moderator. Secondly, using science mapping, along with performance and content analysis landscape of emotion research is unravelled by identifying eight clusters. These clusters placed on development timelines provide a bird's eye view and are presented on a three‐level categorization: Theory, Characteristics and Context. Clusters 1 and 2 focus on theoretical underpinning of emotion interrelationship with cognition and construal. Clusters 3 and 4 emphasized unique characteristics of emotion as antecedents and outcomes to/of evaluations/behaviours. Clusters 5, 6, 7, and 8 emphasized distinct emotional settings—notably, cluster 5 accounts for emotion interaction across service encounters and elements of service interface. Cluster 6 emphasizes effectiveness, advantage and measurement of emotion in advertising. Cluster 7 highlights how emotions are profoundly shaped by and influence social interactions/behaviour, and Cluster 8 underscores emotion embedded in brands, products and life experiences. Finally, a diverse yet unified field of emotion research in marketing is advocated by reflecting on findings, identifying opportunities for cross‐pollination, highlighting cluster‐specific future research directions and developing an integrative framework. The framework, beyond decision‐making, synthesizes distinct ways emotion arises and permeates marketplace and accounts for alternate lenses to emotion functioning, promoting newer research.

Reducing potential dual-use risks in synthetic biology laboratory research: a dynamic model of analysis

Synthetic biology (SynBio) is an interdisciplinary field that includes biology, genomics, engineering, and informatics. The introduction of machine learning technology reduces the requirement for human participation in SynBio research, which may lead to increased biosafety and biosecurity concerns within the complex human–technology-management system in SynBio laboratories compared with traditional biology. The rapid development of SynBio and machine learning technology has added to the systemic complexity of management and technology subsystems, the risks of which remain unclear. To fully understand and address these risks, there is an urgent need to develop a quantitative model. In this study, three-round Delphi interviews were conducted with SynBio experts who have published articles in top journals (e.g., Nature, Science, Cell, etc.) and applied the system dynamics method to build a quantitative analysis model. The model explores the potential risk factors and their complex relationships in the SynBio research. We analyzed three subsystems (biotechnology, information technology, and management), identifying seven key risk factors. Among these, the Average Experience of Newcomers and Tolerable Error Frequency play an essential role in laboratory management. Notably, the biosafety atmosphere has the greatest impact on reducing error rate and increasing safety awareness, as well as on the infrastructure safety of SynBio laboratory. In addition, we also consider the impact of the progressiveness of machine learning in the SynBio research and find that using more advanced machine learning technology leads to lower instrument safety. This study provides a framework for quantifying potential risk factors in SynBio research and lays a theoretical foundation for future laboratory safety management and the development of a global code of conduct for interdisciplinary scientists.

Exploring the Nexus of Electric Vehicles, Environmental Health and Sustainability: A Comprehensive Bibliometric Review

This study analysed 636 papers from the Scopus database using bibliometric and graphical techniques to trace the evolving research on sustainability, environmental health (EH), and electric vehicles (EVs). Research patterns, notable authors, most contributing nations, associations, leading journals, and the most widely referenced publications were all noted. Although the top journals for EV policy research are Sustainability and Journal of Cleaner Production, Sovacool Bk is acknowledged as the most active contributor. The top two contributions are the USA and China, underscoring their vital roles in the creation of EVs and creative policies. The primary contributor to the field research is Tsinghua University. With the maximum citations, the study by Egbue (2012) in Energy Policy suggests a significant long-term influence. The study uses Bradford's Law to confirm that important research is concentrated in specific publications and Lotka's Law to analyse author productivity. The results indicate that certain authors are quite prolific, which are in line with Bradford's Law but not Lotka's Law. The seven thematic clusters that emerged were (a) "Sustainable transportation and policy," (b) "Sustainable mobility and energy," (c) "Environmental Impact and Circular Economy," (d) "Electric Vehicles Adoption and Climate Change," (e) "Battery and Lithium-Ion Technology," (f) "Shared and Connected Mobility," and (g) "Smart Grid and Vehicle-to-Grid Integration." Overall, the study highlights the importance of interdisciplinary EV research as well as the need for infrastructure, regulatory, and technology improvements to support sustainable EV adoption. By employing keyword co-occurrence analysis, the study offers academics and policymakers valuable information, establishing the framework for resolving problems and promoting innovation in the EV ecosystem.

Bibliometric Analysis to Improve Combined Treatment Strategies for Glioblastoma in America

Introduction: Bibliometric analysis quantitatively examines scientific literature to extract insights. This article has conducted such analysis on glioblastoma multiforme (GBM) treatment articles. GBM, a prevalent brain tumor, is typically treated with surgery, radiation, and chemotherapy. Objectives: The article aimed to bibliometrically analyze articles discussing combined GBM treatment to identify impactful research areas and encourage collaboration. Materials and Methods: The study encompassed a comprehensive search in the Scopus database, spanning articles published from 1974 to 2022. Inclusion criteria encompassed research conducted in the Americas, both clinical and experimental. A total of 772 articles were collected and categorized based on their primary focus on combined treatment approaches. Results: Clinical studies constituted 52% of articles, suggesting a slight dominance. The analysis unveiled key research moments, including a 1998 focus shift and a pivotal 2005 study on temozolomide- radiation combination. Top journals, trends, and authors were identified, with the USA leading in contributions. Discussions: Despite high brain tumor incidence, research distribution discrepancy is concerning. Regional epidemiological studies have been endorsed. The dominance of US and German authors in GBM collaboration has raised equity issues due to budget and GDP disparities limiting Latin American representation. Conclusion: GBM research in the region is dominated by the USA, while contributions from Latin American countries remain limited. The absence of comprehensive epidemiological studies on GBM in Latin America is concerning, considering the evident impact of the disease in the region. This underscores the urgent need for increased research participation and collaboration to advance the understanding and treatment of GBM across Latin American nations.

Facebook and Consumer Research: A Review, AI‐Driven Thematic Visualisation, and Research Agenda

ABSTRACTThis paper explores the evolution of academic consumer research on Facebook by consolidating the existing body of literature. The study consists of 336 papers on the topic of Facebook and consumers, published in top journals between 2008 and 2023, sourced via Scopus. The data collection followed the PRISMA framework, and bibliometric analysis was conducted using descriptive and performance analyses with the aid of data tabulation software. Additionally, natural language processing (NLP) and thematic analysis of the data were conducted via text mining, topic modelling and data visualisation with Leximancer—an artificial intelligence (AI)‐based programme. The results revealed that, over the 15‐year time period, and most prominently in the last 5 years, there has been a noticeable shift in consumer research on Facebook in line with the evolution of the social media platform itself. The paper identifies evident gaps in the literature via thematic analysis of future research suggestions and managerial implications emergent from the data. It proposes specific future research directions for academic researchers to explore. Practitioners are provided insights corresponding to consumer‐centric and effective social media marketing strategies.

Navigating the moral maze: a literature review of ethical values in business process management

PurposeBusiness process management (BPM), as a pillar of information systems (IS) research, has become more complex with the advent of new technologies, emphasizing the need for moral and ethical perspectives. To foster moral behavior and responsible action, including ethical values in IT systems and processes can be a solid option. By incorporating a socio-technical perspective, we are able to analyze the various aspects of BPM and organizational processes and the incorporated values. We find an overall acknowledgment of the importance of values and ethics in BPM.Design/methodology/approachThis publication explores ethical values within BPM through a systematic literature review (SLR). The study aims to identify the ethical dimensions inherent in BPM and their practical implications in process management and task execution. The methodological approach adopted is a SLR (Boell and Cecez-Kecmanovic, 2015), adapting the PRISMA guidelines (Page et al., 2021) to identify 82 articles from 21 top IS journals suggested by Lowry et al. (2013).FindingsA descriptive framework is developed to explain the use and application of ethical values within business processes. This framework enables practitioners and researchers to categorize and understand the various ethical considerations involved in BPM. It provides a structured approach highlighting the interrelation between process perspectives and ethical values, demonstrating how different BPM approaches may have varying ethical implications. We compare past and future research in business processes, identifying areas for further investigation and theoretical development. A historical analysis of values and literature also helps contextualize contemporary discussions on ethics in BPM, shedding light on the evolution of ethical considerations within this domain.Originality/valueOur study contributes to a more nuanced understanding of BPM, highlighting the importance of considering ethical values and socio-technical perspectives in designing and implementing business processes. These findings contribute to understanding the values associated with different types of processes and their employment and highlight potential areas for future research. Our study provides ethics-oriented research in IS with novel insights by examining BPM from an ethical value perspective. We contribute to the BPM literature by examining which values are applied in which process types from which perspective. In addition, our research suggestions provide food for thought for both research streams.

Wellness dimensions of hospitality employees: A systematic review

The purpose of this study is to systematically review and synthesize the existing employee wellness literature on studies conducted in the hospitality context, connecting the various dimensions of wellness, identifying theoretical perspectives, and discussing future research opportunities. Using the PRISMA method, 149 full-length articles related to the wellness of hospitality employees were systematically reviewed. Articles were published in top hospitality journals from 2006 to 2022. Using SAMHSA wellness dimensions, the articles were categorized and conceptualized with occupational and emotional wellness as the most researched dimensions. The most adopted theory in hospitality wellness was the conservation of resources theory. Implications of this study for practitioners and scholars include information to assist in decision-making to improve the wellness of employees and potential research avenues based on current gaps.

The prevalence of direct replication articles in top-ranking psychology journals.

Despite lip service about replication being a cornerstone of science, replications have historically received little real estate in the published literature. Following psychology's recent replication crisis, we assessed the prevalence of one type of replication contribution: direct replication articles-articles where a direct or close replication of a previously published study is one of the main contributions of the article. This prevalence provides one indicator of how much the field values and incentivizes this type of self-correction. We used a keyword search combined with manual checking to identify direct replication articles that were published from 2010 to 2021 in the 100 highest impact psychology journals. In total, only 0.2% of articles (169 articles out of 84,834) were direct replication articles. There was a small suggestive increase in the prevalence of direct replication articles over time. Additionally, journals with a stated policy of considering replication submissions (31% of journals) were 7.85 times more likely to publish direct replication articles than those without such a policy. Fifty-four out of 88 journals did not publish any direct replication articles in the 11 years surveyed. Our estimate is not the same as the prevalence of direct replication studies overall (direct replication results can be shared in many ways other than as direct replication articles in top journals). Ultimately, direct replication articles are still rare, with a few journals doing most of the heavy lifting. Based on these findings, we argue it would be premature to declare that psychology's replication crisis is over. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Bibliometric Analysis of Perceived Employability: Review and Research Agenda

The changing nature of employment relations between individuals and organisations has increased the role of individuals in maintaining their careers. Today’s era is characterised by ‘modern and boundary less’ careers, indicating the need for an in-depth analysis of perceived employability. For a long time, this multidisciplinary concept has captured the attention of scholars. However, holistic retrospection of this research is missing to date. Under this gap, this study aims to comprehensively analyse the literature on perceived employability through bibliometric tools. Therefore, a contextualised systematic literature review is presented in this study using citation analyses, co-citation analyses and bibliographic coupling. Relying upon the Scopus database, bibliometric techniques are used to map thematic and intellectual structures latent in 356 articles published on perceived employability. The top authors, countries, journals and major themes are identified, followed by bibliographic network-based content analysis. Five significant clusters identified by thematic analyses are extensively reviewed. Finally, the study revealed key research gaps that could guide future research. This study contributes by providing thematic clusters latent in the literature on perceived employability in combination with an extensive review.