Frequency Of Keywords Research Articles

Four decades of research in fiscal decentralization: A bibliometric and content analysis

Fiscal decentralization is one of the policy implementations of regional autonomy, which authorizes local governments to manage their local finances independently. However, with the evolution of the times and the dynamics that are taking place, the application of fiscal decentralization worldwide is changing at each time of year. Therefore, it is necessary to investigate fiscal decentralization research temporarily over the course of four decades. The study aims to explain the development of research on fiscal decentralization over a period of four decades. This research integrates Scopus database to offer a thorough conceptual and structural overview of the field by integrating bibliometric approaches and content analysis. The research procedure begins with the determination of the scope of the research, the inclusion and exclusion criteria for the selection process, the collection of data on Publish or Perish (PoP), and the execution of bibliometric analysis on VosViewer. The research shows that the type of journal with the highest productivity has sub-topics of economy, public service, development, and environmental. The development of fiscal decentralization research has a positive upward trend and most of the top-ranked journals indicate that fiscal decentralization has links and influences with other variables. It is apparent that the most often keywords emerged and studied in the research on fiscal decentralization are related to efficiency, measure, role, degree, growth, and fiscal federalism. Meanwhile, the least frequent keywords are related to poverty and inequality, health outcome, environmental pollution, Latin America, South Africa, fiscal autonomy, corruption, OECD country, determinant, and public sector. These keywords are the future lines of research that may be used for future research on the topic of fiscal decentralization.

Artificial intelligence in surgery: evolution, trends, and future directions.

Artificial intelligence (AI) is significantly transforming surgery by enhancing precision, decision-making, and patient outcomes. This bibliometric analysis examines AI's impact on surgery, highlighting research trends, key contributors, and evolving themes from 1998 to 2024. Utilizing data from the Web of Science Core Collection and analyzed through the Bibliometrix tool, the study reviews publication trends, author impact, institutional contributions, country-specific research activities, and keyword frequency. A total of 821 articles were examined, revealing a 14.53% annual growth rate in publications, increasing from one in 1998 to 328 in 2023. Influential contributors include 10,157 authors, notably HASHIMOTO DA and ITO M. Prominent institutions such as Harvard University and Stanford University, along with leading countries like the USA and China, play major roles in this field. High-frequency keywords identify core research areas: surgery, artificial intelligence, classification, diagnosis, and outcomes. Thematic evolution shows a shift from foundational concepts to advanced applications and interdisciplinary collaborations. AI integration into surgical practices is revolutionizing the field, driving advancements in precision, efficiency, and patient care. The study underscores significant research growth, influential contributors, and key trends, emphasizing the importance of continued interdisciplinary collaboration and innovation. Future research should focus on enhancing AI applications, addressing data quality and security challenges, and expanding into diverse surgical contexts to further improve surgical outcomes and patient care. AI in surgery is a rapidly evolving and promising field for innovation, with its full potential reliant on enhanced collaboration across disciplines.

Scientific mapping of the use of lecithin in breast cancer therapy

Lecithin, a natural phospholipid, possesses health-beneficial properties, recognized for its potential in breast cancer treatment. In recent years, it has been utilized in systems to enhance chemotherapy effectiveness, increase tumor penetration, and reduce side effects, offering less invasive and economically viable treatments. The aim of this study was to identify publication trends and patterns, leading journals, prominent authors, frequent keywords, and the influence of collaboration among researchers and institutions in scientific production on the topic. Employing a scientometrics approach, the study involved rigorous criteria for material search and selection to ensure data quality. A total of 241 studies were identified, with 81 selected after detailed filtering. Results indicate a rise in publications post-2012, peaking in 2020. 411 authors were identified, with Le, Ngoc Thuy Trang standing out, alongside three high-impact factor journals dominating the field. Strong collaboration among researchers and institutions was observed. Results were interpreted and discussed within the broader context of scientometrics. The study faced limitations, such as exclusive use of Bibliometrix potentially restricting analysis scope, and reliance on different databases yielding incomplete information. This study suggests future research to explore other natural substances with therapeutic potential and develop new methodologies to optimize drug delivery.

Exploring Strategic Entrepreneurship Research: A Comprehensive Decadal Bibliometric Analysis

Strategic entrepreneurship indeed plays a crucial role in contemporary business environments. It integrates entrepreneurial actions with strategic management practices to navigate complexities and achieve long-term goals effectively. With an emphasis on trend analysis, collaborative mapping, and future objectives for the subject, bibliometric analysis of strategic entrepreneurship research is attempted to be done comprehensively in this work. The research aims to offer insights into strategic entrepreneurship literature's development and current status by utilizing data from the Scopus database spanning a decade of 2014 – 2024 with the 694 documents. The methodology involves collecting and analyzing data from Scopus using tools like Bibliometrix for data extraction and R-Studio for statistical analysis. VOSviewer is employed for visualizing co-authorship networks, keyword co-occurrences, and bibliographic couplings. The study filters publications using specific criteria related to strategic entrepreneurship, ensuring a focused dataset for analysis. Key metrics such as publication growth rates, international collaboration percentages, citation trends, and keyword frequencies are quantitatively analyzed to uncover patterns and relationships within the literature. By utilizing advanced bibliometric techniques, it provides a detailed visualization of the research landscape, highlighting emerging trends and identifying gaps for future exploration. The emphasis on international collaboration and the identification of influential authors, journals, and institutions offer novel perspectives on the dynamics of strategic entrepreneurship research.

Global research trajectories in gut microbiota and functional constipation: a bibliometric and visualization study

BackgroundFunctional constipation (FC) negatively impacts quality of life and is associated with gut microbiota (GM) imbalances. Despite the growing interest in this area, a thorough analysis of research trends is missing. This study uses bibliometric methods to assess the global research on GM’s role in FC, pinpointing key topics, impactful studies, and prominent researchers to guide future research and identify gaps.MethodsIn our study, we conducted a performance analysis and science mapping using bibliometric indicators such as publication trends, author and institutional contributions, productivity, impact, keyword analysis, and collaboration networks. We employed software tools like VOSviewer, Biblioshiny, CiteSpace, and SCImago Graphica to automate the assessment of metrics including country, institutional, and journal distribution, authorship, keyword frequency, and citation patterns.ResultsFrom 2013 to 2024, annual publications on GM and FC rose from 29 to 252, with a slight decrease to 192 in 2024. Average citations per publication peaked at 11.12 in 2021, declining to 6.43 by 2024. China led in research output (37.8%), followed by the United States (14.4%) and Japan (7.5%). Bibliometric analysis identified key authors like CHEN W and ZHANG H, with 30 and 27 articles, respectively. Jiangnan University and Harvard University were top contributors, with 131 and 81 articles. Keywords analysis revealed “constipation,” “gut microbiota,” and “probiotic” as central themes, with a shift toward “gut microbiota” and “intestinal flora” in recent years. This study provides a comprehensive overview of the research landscape, highlighting leading authors, institutions, and evolving research priorities in the field.ConclusionOur review synthesizes current GM and FC research, guiding future studies. It suggests exploring GM in various GI disorders, the impact of lifestyle and drugs on GM, advanced research techniques, and probiotics/prebiotics for FC. There’s also a focus on therapies targeting GM’s effect on the gut-brain axis, paving the way for improved FC management.

Research hotspots and trends in the treatment of postoperative pain with ropivacaine: A bibliometric analysis from 2003 to 2022.

The aim of this study is to explore the current study status and progression of the effects of ropivacaine in local analgesia by using bibliometric methods. Published articles related to the treatment of postoperative pain with ropivacaine from 2003 to 2022 were retrieved from the Web of Science database. Detailed information such as authors, keywords, journals, countries, institutions and references were analyzed by bibliometric methods and visualized by VOSviewer. A total of 1150 articles published in the treatment of postoperative pain with ropivacaine were included in the bibliometric analysis. From 2003 to 2022, the number of articles was on the rise and increased rapidly after 2018. The United States published the highest number of articles and Ilfeld ranked first in the number of papers (35) and citation frequency (1670). Journal of Anesthesiology had the highest average number of citations per article (89.43). There is a close cooperation among countries especially centering China and the United States at their core, universities are the main institutions in publishing articles. The most cited literature was published by Knudsen whose study major in finding out the effects of ropivacaine and bupivacaine to the central nervous system. Among the top 10 high frequency keywords, ropirvacaine and postoperative anesthesia appeared most frequently. The application of ropivacaine to postoperative anesthesia attracts growing interest from the scholars all over the world and was the future research hotspot in treating postoperative pain.

Smart Tourism, Hospitality, and Destination: A Systematic Review and Future Directions

This paper aims to conduct a scientometric and systematic literature analysis on smart tourism, destination, and hospitality, focusing on the utilization of ICT to enhance tourism experiences, improve the quality of life for residents and tourists, and promote sustainable tourism development. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, relevant articles from the Scopus database (2013-November 2023) were selected and analyzed. A total of 321 articles and review articles were included, highlighting the collaborative efforts in enhancing tourism experiences, well-being, and sustainable practices. The analysis revealed China as the most productive country with 88 documents, while the USA emerged as the most influential with 1970 citations. Kyung Hee University in South Korea was identified as the most productive and influential institution, contributing 15 documents and 1328 citations. Frequent authors' keywords included "smart tourism," "smart cities," "smart tourism destination(s)," "tourism," and "smart destination(s)." The integration of smart tourism, IoT, and social media was found to significantly influence consumer behavior, shaping travel experiences and decision-making processes. The study provides valuable insights for future research, emphasizing the need for further exploration in areas such as ecosystem hospitality and smart traveling. Enhanced collaboration among researchers is expected to deepen the understanding and expand the scope of smart tourism research, ultimately leading to more publications and advancements in this field.

Marine Bacteria: A Source of Novel Bioactive Natural Products.

Marine natural products have great pharmacological potential due to their unique and diverse chemical structures. The marine bacterial biodiversity and the unique marine environment lead to a high level of complexity and ecological interaction among marine species. This results in the production of metabolic pathways and adaptation mechanisms that are different from those of terrestrial organisms, which has drawn significant attention from researchers in the field of natural medicine. This review provides an analysis of the distribution and frequency of keywords in the literature on marine bacterial natural products as well as an overview of the new natural products isolated from the secondary metabolites of marine bacteria in recent years. Finally, it discusses the current research hotspots in this field and speculates on future directions and limitations.

Technical insights of clean and sustainable photocatalytic concrete: A scientometric analysis-aided review.

Air quality has deteriorated rapidly in recent decades due to exponential economic growth, necessitating effective solutions to mitigate pollution. One promising approach is the use of photocatalytic concrete containing TiO2, which, when activated by sunlight, can degrade various contaminants. This study provides a comprehensive scientometric-based review of research on photocatalytic concrete, focusing on literature published between 1997 and 2024. The review employs a scientometric analysis to identify the key trends, frequent keywords, publication sources, and leading nations. Furthermore, comprehensive review was conducted to evaluate various properties of photocatalytic concrete, highlighting research gaps, field project assessments, challenges and life-cycle cost evaluations. The findings reveal that while photocatalytic concrete demonstrates significant pollutant degradation under laboratory conditions, there is a notable scarcity of data on its real-world applications. The review underscores the need for more extensive field studies to verify its effectiveness and to expand research on its properties and applications. Overall, this review offers valuable insights into the current state of photocatalytic concrete technology, its limitations, and the opportunities for its advancement in sustainable construction practices.

빅데이터분석을통해살펴본인공지능(AI)에 대한 인식변화

The purpose of this study is to establish basic data on the application of AI in counseling and education field. To this end, we collected and analyzed big data from 2014 to 2023, focusing on the keyword ‘artificial intelligence(AI).’ Using the TEXTOM, we collected data from portal site Naver and Google. Afterwards, the final refined data was subjected to keyword frequency analysis, degree centrality analysis, and CONCOR analysis using TEXTOM and UCINET. The research results are as follows. First, the frequency of AI increased rapidly over time. Second, similar words appeared in the keyword frequency analysis, but there were differences by year, and new words appeared. Third, the degree centrality analysis showed the AI technology and application areas that people consider important by year. Fourth, the CONCOR analysis confirmed that AI formed different clusters by year. Finally, the limitations of this study and future research tasks were discussed.

Trends in Academic Library Publications for the 2014-2023 Period in Scopus Database

Background:Every university has a library to support the academic community. The academic library does not only function to meet the informational needs of the academic community, but also plays crucial roles in education, research, information, recreation, and preservation. The importance of the academic libraries has led to numerous studies being conducted in this field. However, research developments in the field of academic libraries are not yet comprehensive due to the limited number of studies focused on its development. Purpose: The purpose of this research is to identify publication trends in the field of academic libraries within the Scopus database from 2014 to 2023 and to provide recommendations for research novelty in this field. Method: The research method used in this study is bibliometric analysis. The bibliometric method employed is co-word analysis (keywords) using VOSviewer software. Result: The trending keywords in publications on academic libraries from 2014 to 2023 included Academic libraries, Libraries, Information literacy, Library, Academic library, Human, Collection development, University libraries, Assessment, Higher education, Covid-19, Digital libraries, and Collaboration. Conclusion: The trending keywords in the field of academic libraries are related to the process of library’s adaptation to technological advancements, user needs, and the global impact of the pandemic. In addition to trending keywords, numerous less frequent keywords have emerged, including bibliometric analysis, digital skills, information literacy skills, digital collection, digital reference, digital repositories, technology transfer, technology adoption, remote access, information systems, library design, and academic library websites. These keywords offer valuable insights for future research in the field of academic libraries, particularly in the development of information technology in academic libraries so that libraries can continuously adapt to technological developments.

언어네트워크 분석을 통한 예비영유아교사의 수업시연 내용 연구: 멘토링 중심 수업시연대회에 따른 변화

Objectives In this study, we conducted a language network analysis of the content of the changing lesson demonstrations as pre-service early childhood teacher experienced mentoring-centered lesson demonstrations. Methods For this reason, after 264 chapters of the 1st Selection Tournament Warrior Materials and mentoring were conducted for 34 participants in the Class Trial Competition, 362 chapters of the 2nd Final Selection Tournament Warrior materials were analyzed. Data were compared by keyword frequency analysis, network structure analysis, centrality analysis, and CONCOR analysis using KrKwic and UCINET 6 programs. Results First of all, In the first round of competitions, Guys was mentioned most often after We, and in the second round of competitions, Teacher was mentioned after We. Second, the relationships between keywords in the utterances in the second round competition were more concentrated than those in the first round competition. In terms of degree centrality, betweenness centrality, and eigenvector centrality, Guys was ranked in the top 3 in the first selection competition, and Teacher was ranked in the top 2 in the second selection competition. Third, according to the CONCOR analysis, two main clusters appeared in the first round of competitions is teacher-centered interaction and explanation about the content of the activity. Two main clusters appeared in the second round of competitions is child-centered interaction and a method cluster was formed for young children to participate in activities. Conclusions The results of this study suggest that it is necessary to develop a curriculum in collaboration between universities and early childhood educational institution in order to improve the professional abilities of pre-service early childhood teachers.

Content Analysis of Bibliometric Studies Prepared About Smart Tourism

Smart tourism has become one of the most researched topics in recent years. There has been an increase in studies examining the main trends, bibliometric structures and networks, and social, intellectual, and conceptual frameworks of the concept of smart tourism within different parameters. The aim of this study is to evaluate bibliometric analysis studies on smart tourism indexed in WoS and Scopus databases by content analysis. In this context, 48 documents were found in the WoS and Scopus databases under the subject headings of "smart tourism" and "bibliometric analysis". This is the first study using content analysis to analyze bibliometric articles on smart tourism in WoS and Scopus databases. These analyses mainly focus on authors' analysis, articles' distribution according to publication years, country collaboration network, co-citation networks of authors and journals, frequency of keywords, and co-occurrence map analysis. Bibliometric analysis studies on smart tourism have gained momentum, especially after 2019, when most studies were conducted in the field. When the keywords of the studies in WoS are analyzed, it is determined that the most frequently repeated keyword is "bibliometrics" in 14 studies, followed by "smart destination" and "smart tourism destination" in 7 studies each, and "smart tourism" in 3 studies. These results show that most of the bibliometric studies in WoS focus on smart destinations.

Mindfulness at Work: A Bibliometric Analysis of Key Authors, Themes, and Trends

Background: Mindfulness in the workplace has gained significant attention for its potential to enhance well-being, reduce stress, and improve productivity. As interest in workplace mindfulness has grown, a need arises to systematically analyze the influential studies, key authors, themes, and trends shaping this field. Objectives: This study aims to map the intellectual landscape of "mindfulness at work" through a bibliometric analysis, identifying key contributions, collaboration networks, thematic clusters, and publication trends over time. Methods: Utilizing data from Lens.org, we conducted a bibliometric analysis using VOSviewer and WordSift tools to examine co-authorship, keyword co-occurrence, and citation networks, as well as keyword frequency and thematic trends. Findings: The analysis identifies central figures such as Jochen Reb and Christopher J. Lyddy and highlights prominent themes including well-being, stress management, and engagement, with a peak in publication interest around 2019. The study also reveals isolated research clusters, suggesting limited interdisciplinary integration within the field. Conclusion: While mindfulness research at work is growing, opportunities exist for deeper cross-disciplinary collaboration and broader integration of themes. Novelty: This study provides a comprehensive overview of the field’s development, offering insights into emerging trends, key influencers, and areas for future exploration, making it a valuable resource for researchers, practitioners, and policy-makers interested in advancing workplace mindfulness.

The Frequency of Massage Use in Nursing Research: Bibliometric and Visualization Analysis of Hotspots and Global Trends

PurposeThe aim of the study was to examine the hotspots and global trends of massage in nursing research. MethodsBased on 241 articles published between 1993 and 2023 obtained from the Web of Science database, methods such as trend analysis and keyword frequency analysis were employed to analyze the evolution of research over time and identify key topics. Additionally, topic clustering of abstracts was conducted to examine thematic areas and connections within massage research. ResultsThe analysis shows that the use of massage is prominent in specific fields such as oncology, pediatrics, gynecology, and obstetrics. An analysis of the most cited articles revealed that topics such as the effects of massage on cancer pain and anxiety and the use of complementary therapies in newborns were important. It was determined that the leading authors of massage research generally work in the fields of “massage,” “nursing,” “pain,” “aromatherapy,” “anxiety” and “complementary therapies.” Collaboration between authors and countries, which is important in terms of global knowledge sharing, is almost nonexistent. ConclusionsThe results of the study show that massage research is particularly prominent in certain medical fields such as cancer and that studies on the effects of massage in these fields are important. Furthermore, the fact that the leading authors of massage research are often specialized in specific fields and that there is limited collaboration between authors plays an important role in determining the future directions of massage research and highlights the need to encourage interdisciplinary collaboration.

PBL 교육과정에서 학습자의 성취 수준에 따른 학습몰입 특성: 성찰일지의 코퍼스 기반 분석

Objectives The study aims to analyze the learning engagement characteristics based on learners' achievement levels in a Project-Based Learning (PBL) curriculum. Through a corpus-based analysis of reflective journals, the research seeks to objectively evaluate and differentiate the emotional, behavioral, and cognitive engagement types of learners. Methods This research employed a corpus-based linguistic approach to analyze the reflective journals of learners from a PBL course. A total of 24 students from C University participated, divided into high-achieving and low-ach-ieving groups. The reflective journals, collected over nine weeks, were analyzed using the AntConc program to ex-tract keywords representing emotional, behavioral, and cognitive engagement. Statistical analyses, including One-Way ANOVA and independent samples t-test, were conducted to determine the differences in engagement types within and between the groups. Results The analysis revealed distinct differences in engagement characteristics between high-achieving and low-achieving learners. High-achieving learners exhibited higher levels of emotional, behavioral, and cognitive engagement, reflected in a greater frequency of keywords related to these dimensions. The differences were statistically significant, highlighting the need for differentiated instructional strategies to cater to varying learner needs. Conclusions The findings emphasize the importance of tailoring educational strategies to the individual needs of learners based on their engagement patterns. This approach can enhance the effectiveness of PBL by fostering deeper and more meaningful learning experiences. The study contributes to the development of targeted teaching methods that support both high-achieving and low-achieving students, ultimately improving overall learning outcomes.

텍스트 마이닝을 활용한 이주배경 구성원의 문화적응 스트레스의 연구동향 분석

This study aims to explore research trends in acculturation stress using text mining techniques. To achieve this, 387 papers related to acculturation stress, published in KCI-indexed journals over 16 years since the enactment of the Multicultural Families Support Act in 2008, were selected. Based on the Korean abstracts, a total of 1,762 keywords were extracted. NetMiner 4.5 was utilized to analyze unstructured data, employing keyword network analysis and LDA-based topic modeling. The study analyzed keyword frequency, co-occurrence keyword pairs, and centrality. Through LDA-based topic modeling, it was found that five topics were the most appropriate. Based on the derived results, the study reviewed research directions to advance the academic development of acculturation stress and provided educational implications.

Phytoremediation of Mercury Contamination: Bibliometric Analysis

Mercury is classified as one of the world’s most toxic and dangerous pollutants as it tends to bioaccumulate and biomagnify within the trophic chain and is persistent. Various approaches are available to remediate Hg-affected sites including phytoremediation, which includes the use of plants to clean up contaminated environments. The phytoremediation of mercury contamination is attracting increasing attention because of its advantages: it is environmentally friendly, inexpensive, simple, and can improve soil fertility. In this report, VOSviewer (version 1.6.1) and Bibliometrix (version 4.16) software were used to analyze 457 and 697 documents published from 2000 to 2023, retrieved from the databases WoS and Scopus, respectively. China, India, the United States, and Spain were the top four most productive countries. The largest topic area was environmental sciences, and the Chinese Academy of Sciences was the organization that contributed the most to the overall number of publications. The keywords with the highest frequency excluding phytoremediation and mercury in WoS were heavy metals, accumulation, cadmium, soils, and phytoextraction. In Scopus, the most frequent keywords were bioremediation, heavy metals, soil pollution, bioaccumulation, biodegradation, and environmental. From the above analysis, we concluded that future research should focus on (1) finding native plants, (2) genetic engineering applications, (3) increasing remediation ability through assisted phytoremediation, and (4) the detoxification mechanism of mercury. This study provides insights into trending themes and serves as a reference for future research.

‘You can’t trust the mainstream media’: exploring shifts in racist, homophobic, transphobic, sexist, antisemitic and Islamophobic sentiment within Australian far-right alternative news media

Alternative news media, which opposes mainstream news media, has been utilised by the far right to proliferate their ideology. This study explores how the scale of discussion, and negative framing, of different groups that are commonly targeted by the far right changes over time. Taking 7089 articles published by a prominent Australian far-right alternative news media outlet over a 7.5-year period, and a corpus of 311 keywords, a keyword frequency analysis and sentiment analysis establish the scale of discussion and negative framing of groups across four time states. Additionally, a computational word frequency analysis in tandem with a qualitative close-reading explores the context of discussions. The findings identify a range of targets of the far right, each centred around different political, racial, religious, gendered and sexual identities. A long-term shift towards extreme right ideologies is found, through increasingly hostile attitudes towards LGBTQIA + people, escalating antisemitism and direct engagement with neo-Nazism.

How research contributions of professor Jiju Antony have influenced the field of quality management: an appraisal and critique

PurposeThe purpose of this study is to apply bibliometric techniques to critically examine the contributions of Professor (Dr) Jiju Antony in the domain of quality management research over a period close to 30 years (i.e. 1995 to 2023).Design/methodology/approachThe study incorporates a bibliometric analysis approach using VoSviewer software package to critically examine the contributions and trends in publications on Scopus indexed publications of Antony, followed by an industry wide evaluation of contributions made. Thematic analysis of the bibliographic data was imported in comma-separated values (CSV) format by selecting Antony (last name) and Jiju (first name) in the author search tab in Scopus. The search was made on September 09, 2023 and bibliographic records of 429 documents were considered for the analysis. The analysis was carried out in terms of most frequent keywords used, sources with most frequent publications, thematic analysis of most cited works and global collaborations.FindingsAntony has focused his research interest largely in the domain of quality management, publishing his research in top rated journals in the domain with a broad network of international collaborators. Antony has received 18,802 and 40,947 citations in Scopus and Google Scholar, respectively. This signifies the impact that Antony has created through his research publications. His major contributions are on the topics of six sigma, lean six sigma, continuous improvement, critical success factors and quality management practice implementations in various organizations. Diverse methodologies both qualitative and quantitative were utilized to conduct his research. However, his body of work is not without criticism. Such criticism includes the limited scope of work, with narrow focus on ISO 9001 and QMS standards, Total Quality Management (TQM). Critique also highlights the necessity for more depth, following insufficient exploration of distinctions between TQM and operational excellence (OPEX) methodologies like lean, six sigma, kaizen and agile. Antony’s work has yet to consider a diverse range of industry sectors, in terms of implementation of quality management principles, geographical location, the impact of national culture on corporate performance and explore data quality influence on decision-making. Notably, there is clear opportunity to consider the service sector in future research.Originality/valueTo best of the authors’ knowledge, there are few previous studies conducted using bibliometric analysis for analyzing the work of an individual. Therefore, the present study aims to set a trend whereby bibliometric analysis can be used to recognize and critically asses the contributions of other researchers in their respective domains.