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1 – 10 of over 242000
Article
Publication date: 2 August 2022

Yanhui Song, Lixin Lei, Lijuan Wu and Shiji Chen

This paper focuses on the differences in domain intellectual structure discovery between author bibliographic coupling analysis (ABCA) and author co-citation analysis (ACA…

Abstract

Purpose

This paper focuses on the differences in domain intellectual structure discovery between author bibliographic coupling analysis (ABCA) and author co-citation analysis (ACA) considering all authors. The purpose of this study is to examine whether and in what ways these two all-author network approaches yield different results.

Design/methodology/approach

The sample was collected from the database of Web of Science, including all articles published in Scientometrics and Journal of Informetrics from 2011 to 2020. First, 100 representative authors were selected from each set, and ABCA matrices and ACA matrices were constructed. Second, factor analysis was carried out on the matrices, to detect the intellectual structure of scientometrics and informetrics.

Findings

The intellectual structures identified by ABCA and ACA are similar overall, but the results differ somewhat when it comes to specific structures. The ABCA is more sensitive to some highly collaborative research teams and presents a clearer picture of current intellectual structures and trends while ACA seems to have some advantages in representing the more traditional and proven research topics in the field. The combined use of ABCA and ACA allows for a more comprehensive and specific intellectual structure of research fields.

Originality/value

This paper compares the performance of ABCA and ACA detecting the intellectual structure of the domain from the perspective of all authors, revealing the intellectual structure of scientometrics and informetrics comprehensively.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-12-2020-0540.

Details

Online Information Review, vol. 47 no. 1
Type: Research Article
ISSN: 1468-4527

Keywords

Article
Publication date: 6 May 2014

Feifei Wang, Tina J. Jayroe, Junping Qiu and Houqiang Yu

The purpose of this paper is to further explore the co-citation and bibliographic-coupling relationship among the core authors in the field of Chinese information science (IS), to…

Abstract

Purpose

The purpose of this paper is to further explore the co-citation and bibliographic-coupling relationship among the core authors in the field of Chinese information science (IS), to expose research activity and author impact, and to make induction analyses about Chinese IS research patterns and theme evolution.

Design/methodology/approach

The research data include 8,567 papers and 70,947 cited articles in the IS field indexed by Chinese Social Sciences Citation Index from 2000 to 2009. Author co-citation analysis, author bibliographic-coupling analysis, social network analysis, and factor analysis were combined to explore co-citation and bibliographic-coupling relationships and to identify research groups and subjects.

Findings

Scholars with greatest impact are different from the most active scholars of Chinese IS; there is no uniform impact pattern forming since authors’ impact subjects are scattered and not steady; while authors’ research activities present higher independence and concentration, there is still no steady research pattern due to no deep research existing. Furthermore, Chinese IS studies can be delineated by: foundation or extension. The research subjects of these two parts, as well as their corresponding/contributing authors, are different under different views. The general research status of core authors is concentrated, while their impact is broad.

Originality/value

The combined use of some related methods could enrich the development and methodology research of the discipline, and the results establish a reference point on the development of IS research.

Article
Publication date: 6 November 2017

Weidong Yu

Previous commonly used author co-citation analysis (ACA) methods have limited the ability to deal with accidental co-citation in constructing a raw co-citation matrix. Therefore…

Abstract

Purpose

Previous commonly used author co-citation analysis (ACA) methods have limited the ability to deal with accidental co-citation in constructing a raw co-citation matrix. Therefore, the purpose of this paper is to propose a new method, called author tri-citation analysis (ATA), to better map knowledge domains and depict scientific intellectual structures.

Design/methodology/approach

Different from the previous method of using ACA that captures author co-citation relationships, the ATA method seeks tri-citation relationships among authors. Compared with ACA, ATA can ignore some accidental co-citation relationships between authors and can improve the accuracy of mapping knowledge domains.

Findings

Although ATA does not mine more sub-fields than ACA does, the results of the empirical studies show that ATA, the newly proposed method, performs better in knowledge domain maps based on publications in the field of computer science.

Research limitations/implications

The definition of ATA in this article is simple and still insufficiently informative. Many other pieces of information can be involved; for example, all authors’ information, authors’ sequence in the author list, reference published time and similar. These can be enhanced in future studies.

Practical implications

This research will enrich the methods of mapping knowledge domains due to its new perspective.

Social implications

Knowledge domain mapping is important to understand a discipline, and this research provides more potential methods for this, which benefits the performance of the maps.

Originality/value

ATA can provide a methodological awareness for mapping knowledge domains. This value lies in not only a tri-citation perspective, but also author bibliographic tripling and author tri-operation perspectives (“tri-” perspectives).

Book part
Publication date: 16 September 2022

Adriana Anamaria Davidescu, Răzvan Gabriel Hapau and Eduard Mihai Manta

In recent decades, interconnections between countries have increased substantially worldwide as the process of integration and globalisation intensifies, with a positive impact in…

Abstract

In recent decades, interconnections between countries have increased substantially worldwide as the process of integration and globalisation intensifies, with a positive impact in terms of economic development, but, also with a vulnerability to external shocks, such as the financial contagion phenomenon. The analysis of this research field becomes even more relevant in the context of a new major exogenous shock, but which, this time, has different specificities, being a sanitary crisis. Thus, the chapter aims to investigate the impact of crises on capital market volatility for the period of 1995–2021, using the bibliometric analysis highlighting the dynamics of the literature and potential future research directions through a science mapping that enables investigating scientific knowledge. In order to explore the development of the research field in terms of publications, author impact, affiliated institutions and countries, citation patterns, trending topics, relationship between keywords–authors–journals, abstracts’ analysis, authors and documents clustering by coupling, multiple correspondence analysis of major research themes, keyword analysis, co-citation analysis and authors, institutions and countries collaboration analysis have been applied. Hence, almost 500 publications from Web of Science database covering the period 1995–2021 have been extracted. The empirical findings emphasise the conceptual structure, with clusters focussing mainly on long-term receivables, market efficiency, volatility, dynamic conditional correlation (DCC)-GARCH models, asymmetric effects. According to the intellectual structure of the field, Lambertides N., Zopiatis A., McAleer M. or Savva C. S. are the most representative authors for the sub-area of volatility topic; whilst Balcerzak A. P., Pietrzak M. B., Zinecker M., Meluzin T. and Faldzinski M. are the reference names for the whole spectrum of DCC-GARCH models’ topic. Jayasekera R., Lundblad C., Choundhry T., Gupta R. and Demirer R. are the authors mostly associated with asymmetric effects’ topic, whilst Thorp S., Bouchaud J. P. and Dungey M. with the quantitative finance. The Journal of Banking & Finance, the Journal of International Money and Finance and the International Review of Financial Analysis as well as Economic Modelling, Research in International Business and Finance and the International Journal of Finance & Economics are the most prolific journals in the field of capital flow and financial crises. This chapter’s main contribution is to build a structure of knowledge for the impact of crises on capital market volatility, elaborate and classify empirical research into relevant dimensions that can be used as a reference for comprehensively developing research. Finally, the bibliometric analysis results may provide insight into future research prospects. Our conclusions offer some recommendations for market practitioners and policy-making.

Details

The New Digital Era: Other Emerging Risks and Opportunities
Type: Book
ISBN: 978-1-80382-983-8

Keywords

Open Access
Article
Publication date: 30 June 2021

Cemal Aktürk

Improving business processes provides companies with advantages in terms of efficiency and profitability, as well as competitiveness against other companies in the market…

1583

Abstract

Improving business processes provides companies with advantages in terms of efficiency and profitability, as well as competitiveness against other companies in the market. Companies that integrate business processes with enterprise resource planning (ERP) systems into digital platforms also have the opportunity to strengthen their weaknesses by recognizing disruptions and bottlenecks in inefficient business processes thanks to this digital transformation. Descriptive and bibliometric analyses were performed in this study for a systematic evaluation of studies on artificial intelligence (AI) in the ERP literature. The studies in which the keywords determined from the AI literature were firstly used together with ERP were investigated from the Scopus database. 837 publications meeting the search criteria were reached and a descriptive analysis of these publications was presented. Then, bibliometric analysis was performed using common author, common citation, and common keyword analysis methods for 296 publications in the article type. Tsinghua University and Obuda University have the most publications according to the results. The most commonly used AI keywords in the ERP studies were “genetic algorithm”, “fuzzy logic”, and “machine learning”. This study aims to guide future studies by providing a systematic and new perspective to researchers and experts working on ERP-AI.

Details

Journal of International Logistics and Trade, vol. 19 no. 2
Type: Research Article
ISSN: 1738-2122

Keywords

Article
Publication date: 4 May 2022

Pembe Ülker, Mustafa Ülker and Kurtuluş Karamustafa

This study aims to contribute to the relevant body of knowledge by examining the bibliometric studies related to tourism and hospitality indexed in the Web of Science (WoS…

1654

Abstract

Purpose

This study aims to contribute to the relevant body of knowledge by examining the bibliometric studies related to tourism and hospitality indexed in the Web of Science (WoS) database from a bibliometric perspective (evaluative and relational techniques).

Design/methodology/approach

The WoS database was used to obtain studies to be reviewed. A total of 136 studies were analyzed and visualized in terms of evaluative and relational techniques, and a subject categorization was made.

Findings

“Tourism management” and “tourism and hospitality” are the two fields of research where bibliometric studies are carried out more frequently. Evaluative techniques were used in most studies while relational techniques, such as co-word, co-author, co-citation analysis and bibliographic coupling, were performed less. Relational techniques indicate that the words “bibliometric analysis” and “tourism” are frequently used together in the studies examined; the most common authorship cooperation is between China and USA.

Research limitations/implications

This study provides an overview of bibliometric studies in tourism and hospitality literature. It expands the previous literature and shows study topics that are more focused by examining the abstracts and contents of articles published in journals in different WoS categories.

Practical implications

Findings related to evaluative and relational techniques can serve as useful information for researchers, who are new to the field.

Originality/value

This study contributes to the current knowledge accumulation by its lack of year, country, region and language limits.

Details

Journal of Hospitality and Tourism Insights, vol. 6 no. 2
Type: Research Article
ISSN: 2514-9792

Keywords

Article
Publication date: 23 January 2023

V.M. Vijay Kumar and J.P. Senthil Kumar

The study aims to analyze, realize and identify the extent of research on financial literacy (FL) and to reveal the study trends, growth and evolution in the Scopus database from…

Abstract

Purpose

The study aims to analyze, realize and identify the extent of research on financial literacy (FL) and to reveal the study trends, growth and evolution in the Scopus database from a bibliometric analysis. Principally, the primary purpose of this study is to conduct a comprehensive bibliometric review of studies focusing on the use, identification, network structure and conceptual structure of FL.

Design/methodology/approach

The most relevant articles were found using an electronic search. The studies that would be reviewed were sourced from the Scopus database. A total of 1,211 articles were found and refined to 768 papers between 1997 and 2021. Every composition has been analyzed in different dimensions such as co-authorship, co-citation, conceptual structure, co-word occurrence, trend topics analysis, thematic map, topic dendrogram, three field plot diagram and visualization analysis with the help of R programming language and VOSviewer software.

Findings

Motor themes, basic transverse, niche, and emerging and declining themes were identified using (Callon, 1991) a strategic thematic map. The analysis’s results showed that, over the past 20 years, FL literature has advanced remarkably. It also acts as a reference means for future researchers. This study adopted relational techniques such as co-word, co-author, co-citation analysis, bibliographic coupling and thematic map analysis revealing the emerging topics for future research. The relational approach indicates that “FL” and “human” are two central parts that connect to other frequently used words in the studies examined.

Research limitations/implications

The study deploys bibliometric analysis appropriate for deriving insights from the vast extant literature. However, a meta-analysis might offer deeper insights into specific dimensions of the research topic. It expands the previous literature and shows study topics that are more focused by examining the abstracts and contents of articles published in journals in different Scopus categories. For future researchers to derive a solid theoretical framework, a systematic review of the literature and meta-analysis would be helpful. Science mapping for this study is limited to the Scopus database owing to its more comprehensive coverage of good-quality journals.

Practical implications

For future researchers to derive a solid theoretical framework, a systematic review of literature and meta-analysis would be helpful. Science mapping for this study is limited to the Scopus database owing to its more comprehensive coverage of good-quality journals. The authors offer suggestions for promising directions for future research that could address some of the inconsistencies found from the bibliometric analysis study.

Social implications

This study can help both budding and established researchers to find new research focus, relevant sources, and collaboration opportunities and make informed decisions. Findings related to evaluative and relational techniques can serve as helpful information for researchers who are new to the field.

Originality/value

It shows the indicators used to benchmark institutes, authors, journals or articles. The increase in researchers’ collaborative, multi-authored and interdisciplinary efforts also revealed an annual growth rate of 23.77%. Overall, this study enhanced the understanding of the FL phenomenon and provided an experience and interpret a wide range of publication- and citation-based statistics. This study contributes to understanding the collaborative networks of various researchers and institutions and the benefits/detriments of collaborating cross-disciplinary, internationally, or with industry or corporate institutions.

Details

Managerial Finance, vol. 49 no. 7
Type: Research Article
ISSN: 0307-4358

Keywords

Article
Publication date: 1 June 2000

Kalervo Järvelin, Peter Ingwersen and Timo Niemi

This article presents a novel user‐oriented interface for generalised informetric analysis and demonstrates how informetric calculations can easily and declaratively be specified…

Abstract

This article presents a novel user‐oriented interface for generalised informetric analysis and demonstrates how informetric calculations can easily and declaratively be specified through advanced data modelling techniques. The interface is declarative and at a high level. Therefore it is easy to use, flexible and extensible. It enables end users to perform basic informetric ad hoc calculations easily and often with much less effort than in contemporary online retrieval systems. It also provides several fruitful generalisations of typical informetric measurements like impact factors. These are based on substituting traditional foci of analysis, for instance journals, by other object types, such as authors, organisations or countries. In the interface, bibliographic data are modelled as complex objects (non‐first normal form relations) and terminological and citation networks involving transitive relationships are modelled as binary relations for deductive processing. The interface is flexible, because it makes it easy to switch focus between various object types for informetric calculations, e.g. from authors to institutions. Moreover, it is demonstrated that all informetric data can easily be broken down by criteria that foster advanced analysis, e.g. by years or content‐bearing attributes. Such modelling allows flexible data aggregation along many dimensions. These salient features emerge from the query interface‘s general data restructuring and aggregation capabilities combined with transitive processing capabilities. The features are illustrated by means of sample queries and results in the article.

Details

Journal of Documentation, vol. 56 no. 3
Type: Research Article
ISSN: 0022-0418

Keywords

Article
Publication date: 3 April 2018

Ali Akbar Khasseh, Faramarz Soheili and Afshin Mousavi Chelak

This research aims to examine the intellectual structure of iMetrics through author co-citation analysis.

Abstract

Purpose

This research aims to examine the intellectual structure of iMetrics through author co-citation analysis.

Design/methodology/approach

This research uses common techniques in bibliometrics and social network analysis. It analyses 5,944 records from the Web of Science in the field of iMetrics that are published between 1978 and 2014.

Findings

Findings indicated that researchers including “Garfield”, “Egghe”, “Glanzel”, “Leydesdorff” and “Price” have received many co-citations. The author co-citation analysis in iMetrics resulted in eight thematic clusters, including “theoretical foundations and citation analysis”, “sociology of science”, “science mapping and visualization”, “network analysis”, “classic laws of bibliometrics”, “webometrics”, “technometrics” and “miscellaneous”. “Theoretical foundations and citation analysis” is the biggest cluster which comprises 59 authors. The results suggest the crucial role of price medallists in shaping the intellectual structure of knowledge in iMetrics.

Originality/value

Extracting the patterns embedded in the knowledge structure of iMetrics studies provides beneficial information for both researchers and policymakers. This research study is valuable that used an appropriate set of records regarding both recall and precision. Furthermore, this study helps us better understand the characteristics of iMetrics, its subject areas, and the prominent authors in those areas.

Details

The Electronic Library, vol. 36 no. 2
Type: Research Article
ISSN: 0264-0473

Keywords

Article
Publication date: 31 December 2018

N. Bindu, C. Prem Sankar and K. Satheesh Kumar

This paper aims to introduce a systematic computing and analytical procedure that is applied to the co-author network to identify the temporal evolution and growth of research…

Abstract

Purpose

This paper aims to introduce a systematic computing and analytical procedure that is applied to the co-author network to identify the temporal evolution and growth of research collaborations in the area of e-governance. The empirical analysis of the temporal co-author network can trace the emerging authors and knowledge bursts over time.

Design/methodology/approach

The study applied social network theory to trace the author collaboration patterns in the domain of e-governance. Analysis of the co-author network using micro and macro parameters was done to trace the temporal evolution of the author collaborations.

Findings

E-governance is a multi-disciplinary research domain split over streams of management, politics, information technology and electronics. Hence, research collaborations play a significant role in its advancement. The knowledge sharing between individual authors, institutions and groups through research collaborations, resulting in extensive sharing of data, equipment and research methods, has boosted research activities and development in e-governance. In this paper, the authors systematically analyse the current scenario of research collaborations in the area of e-governance using co-author network to estimate its impact on the advancement of the field. The authors also analysed the temporal evolution of the co-author networks, which show remarkable growth of research collaborations in the domain of e-governance from the year 2000.

Research limitations/implications

The co-author network analysis is only a proxy measure for the analysis of research collaborations. The names of the authors and the university affiliations used in the article are as retrieved from the research repository of Scopus. The degree, citations and other parameters related with authors have scope only within the environment of the co-author network used in the analysis. The criteria used in the study is limited to the degree of research collaborations and the number of co-authored publications in the giant component of the co-author network.

Practical implications

Institutions, authors and governments can trace and select suitable topics and choose research groups of co-authors over the world for future research collaborations in e-governance. The knowledge about the emerging and most discussed topics gives an overview of the global research trends of e-governance.

Social implications

The study identified the evolution of creative collaborations in e-governance in the global perspective. The methodology introduced here is helpful to detect the proficient and productive author collaborations and the spectrum of related e-governance research topics associated with them. As the author collaborations can be mapped to the institutional and country-level collaborations, the information is helpful for researchers, institutions and governments to establish the best collaborations in e-governance research based on the author proficiency, collaboration patterns and research topics as per the requirements.

Originality/value

The paper introduces a novel research methodology using temporal analysis of co-author network to identify the evolution of research patterns and the associated research topics.

Details

Transforming Government: People, Process and Policy, vol. 13 no. 1
Type: Research Article
ISSN: 1750-6166

Keywords

1 – 10 of over 242000