Emerging Research Themes Research Articles

Worker well-being in the digital economy: Lens through bibliometrics analysis

Orientation: The study employed bibliometrics analysis to investigate key research themes and trends on digital economy and worker well-being.Research purpose: The study aims to provide a comprehensive understanding of worker well-being and digital economy to identify prominent and emerging research themes in this domain.Motivation for the study: Given the rapid digital transformation of workplaces, there is a need to assess literature trends on workers’ well-being and the digital economy.Research approach/design and method: The study employed a quantitative bibliometrics analysis to map literature on worker well-being and the digital economy. Data from Scopus were collected and screened through Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA). A total of 1473 documents were considered meeting the study’s criteria. The scientific literature production, country scientific production, conceptual structure (co-occurrence network, thematic map and thematic evolution) and keyword analysis were used to analyse the data.Main findings: The analysis revealed the following key themes, including task performance, emotional labour, employee voice, career adaptability, job satisfaction, employee well-being, work engagement, proactive personality and psychology of work.Practical/managerial implications: The findings underscore the need for organisations to implement employee well-being initiatives and support mechanisms to address the challenges posed by digital work environments.Contribution/value-add: This study contributes to the existing literature by providing a detailed map of the research landscape. The study shows the need to address well-being challenges because of poverty, vulnerability and changing psychology of work. The study also shows importance of adaptability, work engagement and support systems for employees.

Mapping Research Themes and Trends in Ergonomics within Industry 5.0: A Bibliometric Analysis

Abstract: Industry 5.0, the next stage of development after Industry 4.0, centers around the seamless integration of individuals and technology inside industrial processes to foster innovation that prioritizes human needs and experiences. Industry 5.0 diverges from Industry 4.0 by placing greater emphasis on the collaborative partnership between humans and machines rather than solely focusing on automation and advanced technologies like IoT and AI. The study employs bibliometric analysis to delineate the subjects and research areas in ergonomics within the context of Industry 5.0. The study analyzed literature from the Scopus database to identify trends and gaps in implementing ergonomic principles across different industrial sectors. The study addresses two distinct research inquiries: identifying overarching research subjects and emerging research themes. The results indicate the existence of four primary research clusters: the interaction between humans and advanced technology, the safety of work and collaboration between humans and robots, the optimization of multiple purposes and sustainable development, and the application of augmented reality in industrial design. The report emphasizes the growing importance of human-robot collaboration and artificial intelligence while acknowledging a decline in emphasis on user experience and virtual reality. The findings thoroughly analyze the present condition and development of ergonomics research in Industry 5.0 while providing significant recommendations for future investigations and real-world implementations.

Unlocking Startup Research Trends: A Bibliometric Mapping Approach

This research presents a comprehensive bibliometric analysis of the startup literature published in the Scopus database from 1970 to 2023. By employing advanced analytical tools such as VOSviewer and Biblioshiny, we provide a detailed examination of the evolving landscape of startup research. Our analysis identifies key trends, influential authors, and emerging research themes within the field. The findings of this study offer valuable insights for researchers, policymakers, and practitioners interested in understanding the dynamics of the startup ecosystem. By highlighting significant research gaps and emerging areas of interest, this analysis can inform future research directions and guide strategic decision-making. Additionally, our results provide a foundation for fostering collaborations and identifying potential partnerships among researchers and institutions. While this study offers a comprehensive overview of startup research based on the Scopus database, it is important to acknowledge potential limitations. Future research could benefit from expanding the analysis to include additional databases, such as Web of Science or Google Scholar, to capture a broader range of publications. Furthermore, exploring the potential biases inherent in bibliometric analysis could provide a more nuanced understanding of the research landscape.

Understanding age and society using natural populations.

Ageing affects almost all aspects of life and therefore is an important process across societies, human and non-human animal alike. This article introduces new research exploring the complex interplay between individual-level ageing and demography, and the consequences this interplay holds for the structure and functioning of societies across various natural populations. We discuss how this Special Issue provides a foundation for integrating perspectives from evolutionary biology, behavioural ecology and demography to provide new insights into how ageing shapes individuals' social behaviour and social associations, and how this in turn impacts social networks, social processes (such as disease or information transfer) and fitness. Through examining these topics across taxa, from invertebrates to birds and mammals, we outline how contemporary studies are using natural populations to advance our understanding of the relationship between age and society in innovative ways. We highlight key emerging research themes from this Special Issue, such as how sociality affects lifespan and health, the genetic and ecological underpinnings of social ageing and the adaptive strategies employed by different species. We conclude that this Special Issue underscores the importance of studying social ageing using diverse systems and interdisciplinary approaches for advancing evolutionary and ecological insights into both ageing and sociality more generally.This article is part of the discussion meeting issue 'Understanding age and society using natural populations '.

Parenting Information on Social Media: Systematic Literature Review.

Social media has become extremely popular among parents to seek parenting information. Despite the increasing academic attention to the topic, studies are scattered across various disciplines. Therefore, this study broadens the scope of the existing reviews by transcending narrow academic subdomains and including all relevant research insights related to parents' information seeking on social media and its consequent effects. The aims of this systematic literature review were to (1) identify influential journals and scholars in the field; (2) examine the thematic evolution of research on parenting and social media; and (3) pinpoint research gaps, providing recommendations for future exploration. On the basis of a criteria for identifying scholarly publications, we selected 338 studies for this systematic literature review. We adopted a bibliometric analysis combined with a content thematic analysis to obtain data-driven insights with a profound understanding of the predominant themes in the realm of parenting and social media. The analysis revealed a significant increase in research on parenting and social media since 2015, especially in the medical domain. The studies in our review spanned 232 different research fields, and the most prolific journal was JMIR Pediatrics and Parenting. The thematic analysis identified 4 emerging research themes in the studies: parenting motivations to seek information, nature of parenting content on social media, impact of parenting content, and interventions for parents on social media. This study provides critical insights into the current research landscape of parenting and social media. The identified themes, research gaps, and future research recommendations provide a foundation for future studies, guiding researchers toward valuable areas for exploration.

Advancements of virtual reality in tourism and hospitality research. A hybrid review using the TCCM framework

ABSTRACT This paper aims to explore the advancements in VR research within tourism and hospitality industry using a hybrid review approach combining bibliometric analysis and TCCM framework. The study uncovers the past, present, and emerging research themes in the field, with most studies grounded in theoretical foundations (T); it presents eleven distinct contexts of VR applications (C); and indicates VR experiences mostly enhance behavioral intentions to visit (C); quantitative approaches, such as surveys and experiments are preferred over qualitative methods (M). Finally, this study proposes a conceptual model and nomological network, along with directions for future research through the TCCM perspective.

Phishing and the Human Factor: Insights from a Bibliometric Analysis

Academic research on the human element in phishing attacks is essential for developing effective prevention and detection strategies and guiding policymakers to protect individuals and organizations from cyber threats. This bibliometric study offers a comprehensive overview of international research on phishing and human factors from 2006 to 2024. Analysing 308 articles from the Web of Science database, a significant increase in publications since 2015 was identified, highlighting the growing importance of this field. The study revealed influential authors such as Vishwanath and Rao, leading journals like Computers & Security, and key contributing institutions including Carnegie Mellon University. The analysis uncovered strong collaborations between institutions and countries, with the USA being the most prolific and collaborative. Emerging research themes focus on psychological factors influencing phishing susceptibility, user-centric security measures, and the integration of technological solutions with human behaviour insights. The findings highlight the need for increased collaboration between academia and non-academic organizations and the exploration of industry-specific challenges. These insights offer valuable guidance for researchers, practitioners, and policymakers to advance their understanding of phishing attacks, human factors, and resource allocation in this critical aspect of digitalisation, which continues to have significant impacts across business and society at large.

Islamic Religious School as An Alternative Education Institution in the Global Era: A Bibliometric and Thematic Analysis

This study conducted a bibliometric and thematic analysis on research related to Islamic religious schools from 1995 to 2022. The research objectives were to: (1) assess the current growth and publication trends in Islamic religious school studies; (2) identify the most prolific contributors in this field; (3) determine the highly cited documents in Islamic religious school research; and (4) explore emerging research themes and areas in Islamic religious school studies. Data were collected from the Scopus database using keywords such as "Islamic religious school," "Islamic school," "pesantren," "madrasa," "pondok," and "Islamic schooling." A total of 690 documents were initially obtained, and after screening, 297 documents were included for analysis. The data were analyzed using tools like Biblioshiny and Microsoft Excel. The results showed that most publications were in 2022 (63 publications). The most significant publishers with the most research documents were Merry MS by the author (5 publications), University of Malaya by institution (26 publications), and Jurnal Pendidikan Islam by the source (24 publications). This study found the article entitled; ‘‘Unveiled Sentiments: Gendered Islamophobia and Experiences of Veiling among Muslim Girls in a Canadian Islamic School’’ written by Zine, as the most global cited document with 152 citations. Moreover, based on the results of thematic map and evolution, Islamic religious school research was divided into four main themes: Islamic Education and Pedagogy, Social and Cultural Perspectives, Comparative Studies and Global Perspectives, and Leadership and Governance. This study highlighted the need for further comparative studies across diverse contexts, inclusion of underrepresented regions and countries, examination of pedagogical approaches and educational outcomes, exploration of contemporary challenges, and policy implications and educational reform. By addressing these gaps, researchers can contribute to a more comprehensive understanding of Islamic religious schools and their role in providing alternative education in the global era.

Mapping Research Trends in One Health: A Comprehensive Review.

The One Health approach, which emphasizes the interconnection between human, animal, plant, and environmental health, has gained significant attention as a framework for addressing global health challenges. This study presents a thorough bibliometric analysis of One Health research, utilizing the Web of Science Core Collection database, covering the period from 1989 to 2024. The analysis uncovers a substantial increase in scientific output over the years, reflecting the growing importance of this interdisciplinary field. The research reveals a notable shift in focus from traditional areas such as microbiology and infectious diseases to broader public health issues, including healthcare management, policy development, and food security, with particular attention to plant health, crop production, and the use of pesticides. Through advanced tools like Biblioshiny and VOSviewer, this study identifies prolific authors, leading journals, and emerging research themes shaping the One Health domain. The findings highlight the critical role of international collaboration in advancing this field and underscore the need for interdisciplinary approaches in both established and emerging research areas. By offering a comprehensive overview of the current landscape, this bibliometric evaluation serves as a valuable guide for researchers, policymakers, and stakeholders, emphasizing the essential role of One Health in developing strategies to combat complex health issues on a global scale.

Theory Use in Project Management Research: An Exploratory Content Analysis Approach.

The frequency and richness of the theories developed, tested, and used by researchers in an academic discipline exemplify several pertinent factors, namely, the growth, the maturity, the independence, the legitimacy, and the influence of the discipline. Although organizations have been working on projects for centuries, Project Management (PM) is a considerably new academic discipline with emerging research themes, models, methodologies, frameworks, and paradigms. These PM concepts are anchored on or reinforced by new or existing theories. This exploratory study aims to add to the existing PM body of knowledge by investigating the prevalence of theory use in PM research. A systematic content analysis of 9200 PM research articles published from 2000 to 2019 (20years) in the leading PM journals identified 248 unique theories. These results reveal that the PM discipline is increasingly embracing the use of theories with game theory, fuzzy theory, agency theory, contingency theory, and stakeholder theory emerging as the most dominant theories in the reviewed research articles. Also, although PM is developing its theories, the results revealed that PM researchers continue to heavily use theories borrowed from other academic disciplines such as psychology, sociology, mathematics, and economics.

A Bibliometric Analysis of the Trends and Impact of Neuromarketing Research: Peering Into the Consumer Brain.

Neuromarketing is the application of neuroscience and cognitive science to understand and influence consumer behavior and the different underlying decision-making processes. This neuromarketing bibliometric study uses Scopus for bibliographic data and Biblioshiny and Citespace for the overall analysis. Annual scientific production is considered to outline some general lines of critical trends in volume over time. It provides an overview of the most relevant authors and their contributions and creates co-citation networks with the cited authors to identify influential researchers and collaborative networks. Sources that are most relevant to the discussion, together with co-citation patterns, show important articles and journals. Mapping countries' scientific production and collaboration show the manifold contributions of single countries to global research and how some topics can be created out of cooperation. Trend topics were analyzed to detect emerging research themes; factorial analysis helped in the actual clustering of the research topics. It identifies keywords with the most robust citation bursts, meaning times of the most concentrated research activity and emerging areas of interest. The research identifies gaps and produces some practical implications, putting forward a roadmap for future research directions and the necessity of advanced computational techniques in neuromarketing research.

Antibody–drug conjugates for breast cancer: a bibliometric study and clinical trial analysis

BackgroundBreast cancer (BC) remains the most commonly malignancy among women worldwide. Although early-stage BC typically presents with curative possibilities, advanced-stage disease, especially with metastasis, is significantly limited in terms of effective therapeutic interventions, thereby establishing it as the second leading cause of cancer-related deaths in women. Antibody–Drug Conjugates (ADCs) establish a groundbreaking class of anti-neoplastic agents characterized by high specificity and targeting precision. These agents have been significant in reshaping the therapeutic approach to breast cancer, especially those subtypes with overexpression of the Human Epidermal Growth Factor Receptor 2 (HER2). Comprising monoclonal antibodies, cytotoxic payloads, and conjugative linkers, ADCs function by specifically targeting antigens on cancer cells, thereby facilitating the intracellular delivery of the toxic payload. The present investigation endeavors to synthesize existing primary research outcomes through rigorous bibliometric and data analytical approaches, thereby elucidating the current research landscape, delineating research foci, and identifying potential avenues for future innovation.MethodsFor bibliometric analysis, a comprehensive data set comprising 2181 entries related to ADCs in breast cancer was retrieved from the Web of Science Core Collection (WoSCC) spanning the years 1999 to 2023. This data was further filtered from the Science Citation Index Expanded (SCI-Expanded). Analysis software tools such as CiteSpace and VOSviewer were employed for multifaceted analyses such as trends of publications, contributions of countries, and burst analytics. In the dimension of clinical trials, we interrogated databases including ClinicalTrials.gov (https://www.clinicaltrials.gov) and the WHO International Clinical Trials Registry Platform (ICTRP) (https://trialsearch.who.int). A total of 239 clinical trials were initially sourced, among which, 175 were from ClinicalTrials.gov and 64 from ICTRP. After repetitive and correlation-based screening, 119 trials specifically addressing ADC therapeutic strategies in breast cancer were included. Analytical algorithms were executed using Microsoft-based software to evaluate treatment paradigms, emergent research themes, and progress.ResultsOur investigations signify a growing trend of research on ADCs, with consistent advancements in scientific achievements. The analysis revealed that variables such as economic stratification of nations, healthcare investment paradigms, and disease incidence rates serve as significant determinants in shaping research output. Geographically, the United States emerged as the predominant contributor to the research corpus (36.56%), closely followed by China (21.33%). The underpinning of research accomplishments was found to be significantly bolstered by advancements in molecular biology, immunology, and genetic research. Moreover, the advent of nuclear magnetic resonance diagnostic modalities has contributed saliently to the diagnostic and therapeutic management of breast cancer.ConclusionOur study provides a comprehensive overview of the ADC research landscape through rigorous bibliometric and clinical trial evaluations. At present, the ADC arena has witnessed the successful development and FDA approval of 14 distinct agents, substantially improving the clinical outcomes for a broad spectrum of oncological patients. Future research imperatives may include the exploration of ADCs targeting mutated oncoproteins, dual-specificity ADCs, combination payload strategies, peptide-drug conjugates (PDCs), and non-internalizing ADC modalities. With sustained academic and clinical focus, the ADC domain is poised for transformative advancements in targeted therapeutics across a variety of malignancies.

Natural Language Processing Application in Nursing Research: A Study Using Text Network Analysis and Topic Modeling.

Although the potential of natural language processing and an increase in its application in nursing research is evident, there is a lack of understanding of the research trends. This study conducts text network analysis and topic modeling to uncover the underlying knowledge structures, research trends, and emergent research themes within nursing literature related to natural language processing. In addition, this study aims to provide a foundation for future scholarly inquiries and enhance the integration of natural language processing in the analysis of nursing research. We analyzed 443 literature abstracts and performed core keyword analysis and topic modeling based on frequency and centrality. The following topics emerged: (1) Term Identification and Communication; (2) Application of Machine Learning; (3) Exploration of Health Outcome Factors; (4) Intervention and Participant Experience; and (5) Disease-Related Algorithms. Nursing meta-paradigm elements were identified within the core keyword analysis, which led to understanding and expanding the meta-paradigm. Although still in its infancy in nursing research with limited topics and research volumes, natural language processing can potentially enhance research efficiency and nursing quality. The findings emphasize the possibility of integrating natural language processing in nursing-related subjects, validating nursing value, and fostering the exploration of essential paradigms in nursing science.

Emerging Themes and Future Directions in Neurodesign and Human-Computer Interaction: A Systematic Review

While considerable research has been conducted, the field of neurodesign and human-computer interaction (N-HCI) has yet to be methodically delineated in light of contemporary studies. In this context, this paper undertakes a systematic review with dual objectives: (a) to uncover emerging research themes within N-HCI, and (b) to provide future directions for research on N-HCI. Employing robust systematic review methodologies, this paper scrutinized 122 pertinent documents, revealing four principal emerging research themes and constructing a conceptual framework that synthesized key concepts in N-HCI. The results underscored the relative underdevelopment in research that leverages neural evidence to enhance general human-computer interface design, and the notable absence of research at the intersections of the “user” and “environment” aspects of neurodesign with HCI. Accordingly, this paper identifies underdeveloped areas in existing research that require more depth and blank areas in the conceptual framework that call for exploration as future directions.

Emerging Research Topics in Drone Healthcare Delivery

The application of drones to assist with healthcare delivery has grown rapidly over the last decade. This industry is supported by a growing research field, and we have undertaken a systematic review of the published literature. Web-based searches returned 290 relevant manuscripts published between 2010 and 2024. We applied Topic Modelling to this corpus of literature, which examines word association and connectedness within the research papers. The modelling identified two emerging research themes with little connection between them: those who used drones to deliver time-critical medical items and those who used drones to deliver non-time-critical medical items. The former was in response to medical emergencies, while the latter was for enhancing resilience in the healthcare supply chain. The topics within these research themes exhibited notable differences. The delivery of time-critical medical items theme comprised the topics of ‘Emergency Response’, ‘Defibrillator and Organ Delivery’, and ‘Search and Rescue’, whilst non-time-critical delivery researched the topics of ‘Supply Chain Optimisation’ and ‘Cost-Effectiveness’, ‘Overcoming Remoteness’, and ‘Pandemic Response’. Research on ‘Engineering and Design Considerations’ and ‘Ethical and Social Considerations’ cut across both research themes. We undertook further analysis to assess research topic alignment and identify knowledge gaps. We found that efforts are needed to establish a more standardised terminology for better alignment across the two emerging research themes. Future studies should focus on evaluating the impact of drone delivery on patient health using systematic methods. Additionally, exploring the economic viability of drone-based health services and addressing regulatory barriers are crucial for efficient and effective drone deployment in healthcare delivery systems.

Emerging Trends in Virtual Surgical Planning for Orthognathic Surgery: A Global Overview of Research and Publication Patterns

PurposeAnticipating trends and pursuing innovative ideas are imperative for the advancement of science. The objective of this study was to conduct a bibliometric analysis of three-dimensional (3D) virtual simulation in orthognathic surgery, explore its implications for clinical practice, and identify future publication trends through digital tools. MethodsThis study employed a retrospective bibliometric analysis using data obtained from the Web of Science (WoS) database. The search strategy focused on articles related to orthognathic surgery and virtual simulation techniques. RStudio and bibliometrix tools were used to data mining. The independent variables retrieved from digital analysis were the emerging themes related to virtual planning in orthognathic surgery. The trends that we identified were facial aesthetics, digital workflow, personalized treatments, and complex cases. The primary outcome variable was the number of publications dedicated to virtual simulation in orthognathic surgery, along with secondary outcomes such as citation rates, language of publication, country of origin, institutional affiliations, and emerging research themes. Covariates included variables related to publication characteristics, author affiliations, and geographic distribution of publications. Publication analyses over time involved descriptive statistics, regression analysis, Pearson correlation tests, and graphical representation techniques. Statistical significance was set at a 95% confidence interval (P-value < 0.05). ResultsA comprehensive analysis of 987 articles reveals the impact of included authors, with a mean H-index of 62 (sd=18,4). The analysis further illuminates a discernible upward trend in publications on this subject, showcasing a linear pattern with a notable R2 value of 0.88 (p=0.021). English remains the predominant language of publication, accounting for 97.97% of articles, while contributions hailed from a diverse spectrum of 56 countries. Interestingly, a moderate correlation emerges between publication numbers and Gross Domestic Product (GDP) per capita (r=0.30, p=0.044) and total area (r=0.30, p=0.032), whereas a more substantial correlation is evident with total population (r=0.61, p=0.034). Notably, the most cited article amassed 254 citations. Furthermore, a Pearson correlation coefficient of 0.97 underscores the correlation between citation density and the year of publication. ConclusionThe bibliometric indicators provided insights for evaluating research productivity and the quality of research output. Emerging themes included facial aesthetics, 3D printing, and the utilization of custom-made templates and implants. This study holds relevance for maxillofacial surgeons, academics, and researchers alike.

Challenges and Opportunities in Interdisciplinary Research and Real-World Data for Treatment Sequences in Health Technology Assessments.

With an ever-increasing number of treatment options, the assessment of treatment sequences has become crucial in health technology assessment (HTA). This review systematically explores the multifaceted challenges inherent in evaluating sequences, delving into their interplay and nuances that go beyond economic model structures. We synthesised a 'roadmap' of literature from key methodological studies, highlighting the evolution of recent advances and emerging research themes. These insights were compared against HTA guidelines to identify potential avenues for future research. Our findings reveal a spectrum of challenges in sequence evaluation, encompassing selecting appropriate decision-analytic modelling approaches and comparators, deriving appropriate clinical effectiveness evidence in the face of data scarcity, scrutinising effectiveness assumptions and statistical adjustments, considering treatment displacement, and optimising model computations. Integrating methodologies from diverse disciplines-statistics, epidemiology, causal inference, operational research and computer science-has demonstrated promise in addressing these challenges. An updated review of application studies is warranted to provide detailed insights into the extent and manner in which these methodologies have been implemented. Data scarcity on the effectiveness of treatment sequences emerged as a dominant concern, especially because treatment sequences are rarely compared in clinical trials. Real-world data (RWD) provide an alternative means for capturing evidence on effectivenessand future research should prioritise harnessing causal inference methods, particularly Target Trial Emulation, to evaluate treatment sequence effectiveness using RWD. This approach is also adaptable for analysing trials harbouring sequencing information and adjusting indirect comparisons when collating evidence from heterogeneous sources. Such investigative efforts could lend support to reviews of HTA recommendations and contribute to synthesising external control arms involving treatment sequences.

Beyond Borders: Understanding Afghanistan's International Migration Dynamics and Global Implications

Afghanistan, a landlocked nation with a turbulent history of conflict and natural disasters, has experienced the evolution of migration as a strategic response to a range of challenges. Over time, Afghans have developed a resilient transnational network, using mobility as a way to cope and as a proactive strategy. This article explores the dynamics of Afghan migration, examining the intersections of political, historical, cultural, social, and economic factors. Four main themes emerge: the resilience of transnational networks, migration as a coping mechanism, prolonged displacement, and the inconsistency of return and reintegration. The paper also discusses the challenges of conceptualizing migration and return in the Afghan context and reflects on relevant theoretical models for studying migration in Afghanistan. Additionally, it explores emerging research themes, including gender perspectives and political uncertainty. As Afghanistan grapples with a dynamic migration landscape, the insights gained from this study have broader implications for international migration studies.

Emerging research themes in maternal hypothyroidism: a bibliometric exploration.

Hypothyroidism, a prevalent endocrine disorder, carries significant implications for maternal and infant health, especially in the context of maternal hypothyroidism. Despite a gradual surge in recent research, achieving a comprehensive understanding of the current state, focal points, and developmental trends in this field remains challenging. Clarifying these aspects and advancing research could notably enhance maternal-infant health outcomes. Therefore, this study employs bibliometric methods to systematically scrutinize maternal hypothyroidism research, serving as a reference for further investigations. Through bibliometric analysis, this study seeks to unveil key research focus areas, developmental trends, and primary contributors in Maternal Hypothyroidism. The findings offer insights and recommendations to inform future research endeavors in this domain. Literature metrics analysis was performed on data retrieved and extracted from the Web of Science Core Collection database. The analysis examined the evolution and thematic trends of literature related to Maternal Hypothyroidism. Data were collected on October 28, 2023, and bibliometric analysis was performed using VOSviewer, CiteSpace, and the Bibliometrix software package, considering specific characteristics such as publication year, country/region, institution, authorship, journals, references, and keywords. Retrieved from 1,078 journals, 4,184 articles were authored by 18,037 contributors in 4,580 institutions across 113 countries/regions on six continents. Maternal Hypothyroidism research publications surged from 44 to 310 annually, a 604.54% growth from 1991 to 2022. The USA (940 articles, 45,233 citations), China Medical University (82 articles, 2,176 citations), and Teng, Weiping (52 articles, 1,347 citations) emerged as the most productive country, institution, and author, respectively. "Thyroid" topped with 233 publications, followed by "Journal of Clinical Endocrinology & Metabolism" (202) with the most citations (18,513). "Pregnancy" was the most cited keyword, with recent high-frequency keywords such as "outcome," "gestational diabetes," "iodine intake," "preterm birth," "guideline," and "diagnosis" signaling emerging themes in Maternal Hypothyroidism. This study unveils developmental trends, global collaboration patterns, foundational knowledge, and emerging frontiers in Maternal Hypothyroidism. Over 30 years, research has predominantly focused on aspects like diagnosis, treatment guidelines, thyroid function during pregnancy, and postpartum outcomes, with a central emphasis on the correlation between maternal and fetal health.

Supervisor-subordinate communication in the audit environment: a review and synthesis of contextual factors affecting subordinate behavior

PurposeThis paper’s objective is to provide a systematic literature review of the contextual factors affecting downward communication from supervisors to subordinates in the audit environment. In addition, this review identifies emerging research themes and directions for future research.Design/methodology/approachI accomplish this review’s objectives by leveraging communication literature to establish a framework to identify and synthesize contextual factors affecting downward communication in the audit environment. The review identifies 50 published articles in the last 20 years from leading accounting and auditing journals.FindingsThis study consolidates research findings on downward communication under two primary contextual factors: (1) message and (2) channel. Findings indicate that empirical research examining communication in audit is fragmented and limited. Studies examining the message focus heavily on its content and treatment in the areas of feedback, nonverbal cues, and fraud brainstorming, and a handful of additional studies examine the effectiveness of the channel in these areas. Additional research is needed to understand a broader set of supervisor–subordinate communication practices, including those that are computer-mediated, and their effect on subordinate auditors’ judgments and behaviors in the contemporary audit environment.Originality/valueMuch of the audit literature examining communication to date is topic-versus construct-based, making it difficult to see how the research findings relate to one another. This review is the first to synthesize the literature to provide academics recommendations for a way forward, and inform practitioners of communication practices whereby supervisors can be trained to improve audit quality.