30th Anniversary of Applied Intelligence: A combination of bibliometrics and thematic analysis using SciMAT

A Bibliometric Analysis of Nurses' Job Satisfaction From 2004 to 2023

Aim: To conduct a bibliometric analysis of the nurses' job satisfaction from 2004 to 2023. Design: The bibliometric and visual analysis was performed in January 2024. Methods: Bibliometric approaches were applied to analyse 11,993 articles, utilising R and VOSviewer software. Results: Articles published by 24,155 authors from 1735 distinct sources between 2004 and 2023 were retrieved from the Web of Science and incorporated into the research's purview. The most productive nation and institution correspondingly were the United States and the University of Toronto. The leading scholars in this sphere were Spence Laschinger, Heather K, Labrague, Leodoro J, and Rodwell, John according to Price's Law, author co-citation and bibliographic-coupling network analysis. 14,152 keywords about nurses' job satisfaction study were discovered in this research. The most common keywords encompassed "job satisfaction," "nurses," "burnout," "turnover," and "intention" It was also observed that while trend topics like "work engagement" "COVID-19" and "grit" have gained popularity recently, the most commonly employed trend topics in earlier years included "empirical research report" "longitudinal study," and "organizational characteristics." Conclusion: Research on nurses' job satisfaction remains relatively limited and requires more attention, especially in developing countries. Developed countries, especially the United Kingdom and the United States, are the main contributors to nurse job satisfaction research. In the early days, nurse job satisfaction research mainly focused on the current status and influencing factors of nurse job satisfaction in different medical organizations, nurse groups or departments, while more researchers have recently paid more attention to research on specific issues emerging in this field, such as the impact of COVID-19 on nurse job satisfaction and turnover. In addition, scholars in the field of nurse job satisfaction focus on finding the real determinants of job satisfaction of adult practicing nurses, such as interpersonal value consistency, human resource management, and the impact of job satisfaction of adult nurses in different medical environments. Topics such as "perseverance," "COVID-19" and "work engagement" may be potential focuses for future research. Furthermore, transnational research should be given greater emphasis to investigate whether the major factors and effective interferences of nurses' job satisfaction differ between cultures and more multicenter as well as big sample studies should be conducted to efficiently improve nurses' job satisfaction. Impact: This study used bibliometric analysis to examine the most contributing nations, institutions, authors, trend topics, and research focus. Data on the present state of nurses' job satisfaction research, including its knowledge maps, study emphasis, and thematic trends are few. The findings of this research can lay a strong basis for future research and offer direction. No Patient or Public Contribution: There were no humankind subjects in the bibliometric analysis of published papers.

Clinical leadership in nursing in an ever-changing world: a bibliometric analysis

PURPOSE

Leadership plays a critical role in improving the quality of care, minimizing risks to patients and staff and improving patient care outcomes. The purpose of this study is to analyze the structure of publications in the field of clinical leadership in nursing and to provide an overview of its development, trends and focus.

DESIGN/METHODOLOGY/APPROACH

This study is descriptive bibliometric study. Data were collected from Web of Science on August 24, 2023. The population of the study consisted of 1,979 articles between 1994 and 2023 in the field of clinical leadership in nursing obtained from R Studio and WoS database.

FINDINGS

The country where clinical leadership was most frequently studied was USA (n = 706). The most frequently used keywords by authors were leadership (843 times), nursing (329 times) and nurses (143 times). In the early years, the most frequently used trending topics were "quality," "culture," "change" and "leadership style," while in recent years the trending topics were "burnout" and "COVID-19."

PRACTICAL IMPLICATIONS

Due to the limited knowledge on this subject, this study will make an important contribution to the literature and will shed light on new studies to be planned on clinical leadership.

ORIGINALITY/VALUE

It has been observed that the issue of clinical leadership in nursing has become even more important in recent years following radical changes in the world such as pandemics and disasters. It has been observed that studies on this subject have increased rapidly in recent years. While the topics of job satisfaction, burnout and Covid-19 were frequently studied, it was observed that mentoring, collaboration, organization of new graduate nurses, moral difficulties and clinical leadership in nursing education were studied more limitedly.

AI-Augmented Psychosocial Interventions: A Bibliometric Review and Implications for Nursing

PURPOSE

To map out the current artificial intelligence (AI)-informed psychosocial interventions research landscape, with a focus on main themes, trends, and prospective future directions.

METHOD

A bibliometric analysis extracted articles that had been published between 2007 and 2024 from the Web of Science database. Software used to process results were Bibliometrix and VOSviewer.

RESULTS

A total of 207 articles published by 86 different sources were obtained. A publication of high recurrence source was the Journal of Medical Internet Research. The United States showed high research activity in link strength, volume of articles, and citation frequency. Key themes identified were machine learning, mental health, cognitive-behavioral therapy, and personalization. Emerging trends since 2020 show growing interest in ChatGPT and AI-driven therapy.

CONCLUSION

Bibliometric analysis suggests increased application of AI in psychosocial interventions in mental health. Integrating AI with existing therapies and the development of novel digital tools indicate a future for mental health care that is personalized and innovative. The advent of advanced language models, such as ChatGPT, has opened new horizons in AI-supported mental health care. This preliminary analysis provides a foundational understanding of the current landscape while identifying key areas for further research. [Journal of Psychosocial Nursing and Mental Health Services, xx(xx), xx-xx.].

Global trends in technology-dependent children, home care, and parental discharge education: A bibliometric analysis using Biblioshiny

BACKGROUND

Parents of technology-dependent children constitute a different population in society and face diverse problems during caregiving.

METHODS

This study aimed to identify and visualize studies conducted from 1990 to 2024 on technology-dependent children, home care, and parental discharge education and determine global trends. A descriptive and bibliometric study design was employed. Data were obtained from the Web of Science Core Collection database, and bibliometric analyses were performed with performance analysis, visualization, and mapping using the Biblioshiny interface in the R software. Screening yielded a total of 157 publications. A total of 138 publications were included.

FINDINGS

The keywords frequently used by the authors included "home care," "technology-dependent children," "palliative care," "home mechanical ventilation," "child," "family," and "pediatric." Co-author keywords with moderate centrality and density are "home mechanical ventilation" (Betw = 106.47), "technology-dependent" (Betw = 106.47), "home mechanical ventilation" (Betw = 106.47). Each article had 4.41 co-authorships, with an international co-authorship rate of 6.52 %.

CONCLUSIONS

This study provided important data on studies focusing on technology-dependent children, home care, and parental discharge education.

APPLICATION TO PRACTICE

Since the number of studies in the field is small, the findings of this study are essential in guiding researchers about gaps in the literature.

Overview of the Last 71 Years of Metabolic and Bariatric Surgery: Content Analysis and Meta-analysis to Investigate the Topic and Scientific Evolution

Obesity is a worldwide epidemic, and bariatric surgery has become increasingly popular due to its effectiveness in treating it. Therefore, understanding this area is of paramount importance. This article aims to provide an understanding of the development of the topic related to procedures, content, data, and status. To achieve this objective, a literature review and a bibliometric analysis were conducted. The methods provided insight into the current state and relevant topics over time. In conclusion, the article provided the identification of the transformation of the research field, initially focused only on physical aspects, to a more complex approach, which also incorporates psychological and social aspects and the correlation between obesity, bariatric surgery, and quality of life.

Exploring the scientific research on coal fly ash and agriculture: knowledge mapping and future research directions

This paper aims at synthesizing the scientific research on coal fly ash and agriculture using bibliometric analysis. The research on fly ash and agriculture has grown at 6.7% annually during 1973-2022, where much attention has been received after 2007. The number of publications on coal fly ash and agriculture reached above 100 in the year 2010, which further increased to 299 by 2020. The research productivity has been assessed as the most influential countries, journals, and documents in terms of a number of publications and citations on fly ash and agriculture. India is the most productive country in terms of knowledge on coal fly ash and agriculture with 38% of the global publications, while Environmental Science and Pollution Research is the leading journal with 19 publications. The article on assessing the impact of fly ash incorporation in soil systems by Pandey and Singh (2010), having 349 citations with 26.85 citations per year is one of the leading publications globally. Further, science mapping has been conducted to comprehend the current research focus and discover the emerging themes for future research. The finding of the thematic map based on the level of development and importance indicate that FA can be effectively explored as soil-additive for improved physical, chemical and biological properties and enhanced plant nutrients. The findings provide several aspects of fly ash and suggest future research directions to study the potential of using coal fly ash in agriculture to gain an agronomic advantage.

A Holistic Investigation of the Relationship between Digital Addiction and Academic Achievement among Students

Digital addiction (DA), an umbrella term referring to addiction to any type of digital media, such as the internet, smartphone, digital games, and social media, is a significant factor influencing students' academic achievement (AA). Many scholars have contributed to this line of research from around the world. Nevertheless, the literature lacks a holistic investigation of how the DA-AA research field evolved, which could guide future studies. The current study aims to address this void and conducts a combined bibliometric and science mapping analysis of research addressing the relationship between DA and AA. Data were retrieved from the WoS database, considered one of the optimal databases for such studies with its comprehensive coverage of quality journals. One hundred eighteen articles were included in the final dataset and were analyzed using the SciMAT software, which allowed analysis over three consecutive periods and yielded comparable results regarding the conceptual and thematic evolution of the DA-AA domain. The results indicated an increased research interest in the topic, especially during the last five years. The science mapping analysis showed that the most-studied types of addiction were smartphone addiction for the first two periods and social media addiction for the last. Research in the DA-AA domain which focused on understanding the addictive use of smartphones during the first period, evolved to address factors such as self-efficacy or life satisfaction leading to smartphone addiction and lower grades. During the third period, the number of factors addressed gained significant variety and covered family-related and personal factors.

A Scientometric Analysis of Deep Learning Approaches for Detecting Fake News

The unregulated proliferation of counterfeit news creation and dissemination that has been seen in recent years poses a constant threat to democracy. Fake news articles have the power to persuade individuals, leaving them perplexed. This scientometric study examined 569 documents from the Scopus database between 2012 and mid-2022 to look for general research trends, publication and citation structures, authorship and collaboration patterns, bibliographic coupling, and productivity patterns in order to identify fake news using deep learning. For this study, Biblioshiny and VOSviewer were used. The findings of this study clearly demonstrate a trend toward an increase in publications since 2016, and this dissemination of fake news is still an issue from a global perspective. Thematic analysis of papers reveals that research topics related to social media for surveillance and monitoring of public attitudes and perceptions, as well as fake news, are crucial but underdeveloped, while studies on deep fake detection, digital contents, digital forensics, and computer vision constitute niche areas. Furthermore, the results show that China and the USA have the strongest international collaboration, despite India writing more articles. This paper also examines the current state of the art in deep learning techniques for fake news detection, with the goal of providing a potential roadmap for researchers interested in undertaking research in this field.

A comprehensive review on emerging trends in the dynamic evolution of digital addiction and depression

Introduction

Using digital addiction as an umbrella term to cover any type of addictions to digital technologies such as the internet, smartphones, social media, or video games, the current study aimed to reveal the intellectual structure and evolution of research addressing digital addiction-depression relationship.

Methods

The study combined bibliometric and science mapping analysis methods for this purpose. Data for the study was gathered from Web of Science Core Collection after a comprehensive process of data search/extraction, and 241 articles were included in the final data set. A period-based, comparative science mapping analysis was performed using the SciMAT software.

Results

The analysis of data over three periods, Period 1 (1983-2016), Period 2 (2017-2019), and Period 3 (2020-2022) showed that internet addiction was the most significant theme across all three periods, which was followed by social media addiction. Depression, which emerged as a significant theme during Period 1, was later covered under anxiety disorder theme. Research interest was mostly on factors related to both addiction and depression such as cognitive distortion, insomnia, loneliness, self-esteem, social support, alexithymia, as well as cybervictimization or academic performance.

Discussion

The results suggested that much research is warranted on the digital addiction-depression relationship in different age cohorts, especially children and elderly. Similarly, the current analysis showed that this line of research particularly focused on internet, gaming and social media addiction, and evidence with regard to other types of digital addiction or related compulsive behaviors was almost absent. In addition, research was mostly inclined to understanding cause-effect relationships, which is significant, but preventive strategies seemed to be barely addressed. Likewise, the smartphone addiction-depression relationship arguably garnered less research interest, so future research would contribute to the field in this respect.

Diverse roles of the CIPK gene family in transcription regulation and various biotic and abiotic stresses: A literature review and bibliometric study

CIPKs are a subclass of serine/threonine (Ser/Thr) protein kinases. CBLs are ubiquitous Ca2+ sensors that interact with CIPK with the aid of secondary Ca2+ messengers for regulation of growth and development and response to stresses faced by plants. The divergent roles of the CIPK-CBL interaction in plants include responding to environmental stresses (salt, cold, drought, pH, ABA signaling, and ion toxicity), ion homeostasis (K+, NH4 +, NO3 -, and microelement homeostasis), biotic stress, and plant development. Each member of this gene family produces distinct proteins that help plants adapt to diverse stresses or stimuli by interacting with calcium ion signals. CIPK consists of two structural domains-an N-terminal domain and a C-terminal domain-connected by a junction domain. The N-terminal domain, the site of phosphorylation, is also called the activation domain and kinase domain. The C-terminal, also known as the regulatory domain of CIPK, further comprises NAF/FISL and PPI. CBL comprises four EF domains and conserved PFPF motifs and is the site of binding with the NAF/FISL domain of CIPK to form a CBL-CIPK complex. In addition, we also performed a bibliometric analysis of the CIPK gene family of data extracted from the WoSCC. A total of 95 documents were retrieved, which had been published by 47 sources. The production over time was zigzagged. The top key terms were gene, CIPK, abiotic stress, and gene expression. Beijing Forestry University was the top affiliation, while The Plant Cell was the top source. The genomics and metabolomics of this gene family require more study.

Revealing the Intellectual Structure and Evolution of Digital Addiction Research: An Integrated Bibliometric and Science Mapping Approach

The current study uses "digital addiction" as an umbrella term to refer to addiction to the Internet, social media, smartphones, digital devices, video games, or similar digital technologies. The study aims to investigate the scientific landscape of the digital addiction research field through combining bibliometric and science mapping analysis and to facilitate insight into the development and evolution of this knowledge base. Data for the analysis were extracted from the Scopus database, which covers a wide range of journal articles, with 429 articles addressing digital addiction included in the analysis. The science mapping analysis was performed over three consecutive time periods using SciMAT software to observe the thematic evolution. The results indicated that addictive behavior was the most significant theme across the three time periods. Cross-sectional studies addressing the risk factors or outcomes of addiction among adults and different sexes were prevalent during the first period (1997-2012), while interest moved to the addictive behavior of adolescents and students during the second period (2013-2017). Research during the third period (2018-2022) was driven by smartphone and social media addiction, and resilience as a preventive factor garnered more research interest than previously studied risk factors, which may indicate a perspective change by researchers. Implications are suggested for future investigations of digital addiction.

Sustainable business model innovation literature: a bibliometrics analysis

Sustainable business model innovation (SBMI) has received growing attention since it can provide sustainable competitive advantages for corporations under a dynamic external environment. This paper aims to understand the current situations and progress of SBMI research by conducting a bibliometric study of the existing literature. By collecting data from Web of Science and using bibliometric tools, the basic characteristics of SBMI research are first presented to show the productivity and citations of publications utilizing recognized bibliometric indicators. Then, the cooperation networks among countries/regions, institutions, and authors are drawn to determine their collaborative relationships. Furthermore, keyword analysis is presented to explore the evolution of the hotspots and themes of SBMI research through co-occurrence analysis, burst detection analysis, and thematic evolution analysis. Finally, we integrate the antecedents-decisions-outcomes framework for SBMI research. The findings in this study indicate that the development of SBMI research is positive and that greater collaboration among institutions and authors is required to explore the internal drivers and design SBMI as well as other topics to be developed.

Research Progress of Urban Floods under Climate Change and Urbanization: A Scientometric Analysis

Urban floods research has been attracting extensive attention with the increasing threat of flood risk and environmental hazards due to global climate change and urbanization. However, there is rarely a comprehensive review of this field and it remains unclear how the research topics on urban floods have evolved. In this study, we analyzed the development of urban floods research and explored the hotspots and frontiers of this field by scientific knowledge mapping. In total, 3314 published articles from 2006 to 2021 were analyzed. The results suggest that the number of published articles in the field of urban floods generally has an upward trend year by year, and the research focus has shifted from exploring hydrological processes to adopting advanced management measures to solve urban flood problems. Moreover, urban stormwater management and low impact development in the context of climate change and urbanization have gradually become research hotspots. Future research directions based on the status and trends of the urban floods field were also discussed. This research can not only inspire other researchers and policymakers, but also demonstrates the effectiveness of scientific knowledge mapping analysis by the use of the software CiteSpace and VOSviewer.

Infoecology of the deep learning and smart manufacturing: thematic and concept interactions

Purpose

This infecological study mainly aimed to know the thematic and conceptual relationship in published papers in deep learning (DL) and smart manufacturing (SM).

Design/methodology/approach

The research methodology has specific research objectives based on the type and method of research, data analysis tools. In general, description methods are applied by Web of Science (WoS) analysis tools and Voyant tools as a web-based reading and analysis environment for digital texts. The Yewno tool is applied to draw a knowledge map to show the concept's interaction between DL and SM.

Findings

The knowledge map of DL and SM concepts shows that there are currently few concepts interacting with each other, while the rapid growth of technology and the needs of today's society have revealed the need to use more and more DL in SM. The results of this study can provide a coherent and well-mapped road map to the main policymakers of the field of research in DL and SM, through the study of coexistence and interactions of the thematic categories with other thematic areas. In this way, they can design more effective guidelines and strategies to solve the problems of researchers in conducting their studies and direct. The analysis results demonstrated that the information ecosystem of DL and SM studies dynamically developed over time. The continuous conduction flow of scientific studies in this field brought continuous changes into the infoecology of subjects and concepts in this area.

Originality/value

The paper investigated the thematic interaction of the scientific productions in DL and SM and discussed possible implications. We used of the variety tools and techniques to draw our own perspective. Also, we drew arguments from other research work to back up our findings.