Determining the critical thresholds for co-word network based on the theory of percolation transition

2019 ◽  
Vol 76 (2) ◽  
pp. 462-483 ◽  
Author(s):  
Muh-Chyun Tang ◽  
Weijen Teng ◽  
Miaohua Lin
Keyword(s):  
English Literature ◽  
Detection Algorithm ◽  
Intellectual Structure ◽  
Percolation Transition ◽  
Knowledge Domain ◽  
Content Type ◽  
Word Similarity ◽  
Buddhist Studies ◽  
Similarity Threshold ◽  
Research Themes

Purpose One of the chief purposes of bibliometric analysis is to reveal the intellectual structure of a knowledge domain. Yet due to the magnitude and the heterogeneous nature of bibliometric networks, some sorts of filtering procedures are often required to make the resulting network interpretable. A co-word analysis of more than 135,000 scholarly publications on Buddhism was conducted to compare the intellectual structure of Buddhist studies in three language communities, Chinese, English and Japanese, over two periods (1957–1986 and 1987–2016). Six co-word similarity networks were created so social network analysis-based community-detection algorithm can be identified to compare major research themes in different languages and eras. The paper aims to discuss this issue. Design/methodology/approach A series of filtering procedures was performed to exclude less discriminatory keywords and spurious relationships of a large, cross-language co-word network in Buddhist studies. Chief among the filtering heuristics was a percolation-transition based method to determine the similarity threshold that involves observing the relative decrease of nodes in the giant component with the increasing similarity threshold. Findings It was found that the topical patterns in the Chinese and Japanese scholarship of Buddhism are alike and observably distinct from that of the English scholarship. Furthermore, a far more drastic changes of research themes were observed in the English literature relative to the Chinese and Japanese literature. Originality/value The filtering procedures were shown to greatly enhance the modularity values and limited the number of modularity classes; thus, domain expert interpretation is feasible.

Creation of knowledge-added concept maps: time augmention via pairwise temporal analysis

2017 ◽  
Vol 21 (1) ◽  
pp. 132-155 ◽  
Author(s):  
Elan Sasson ◽  
Gilad Ravid ◽  
Nava Pliskin
Keyword(s):  
Knowledge Discovery ◽  
Information Technologies ◽  
Concept Maps ◽  
Concept Map ◽  
Big Data Analytics ◽  
Temporal Analysis ◽  
Detection Algorithm ◽  
Trend Detection ◽  
Knowledge Domain ◽  
Content Type

Purpose Although acknowledged as a principal dimension in the context of text mining, time has yet to be formally incorporated into the process of visually representing the relationships between keywords in a knowledge domain. This paper aims to develop and validate the feasibility of adding temporal knowledge to a concept map via pair-wise temporal analysis (PTA). Design/methodology/approach The paper presents a temporal trend detection algorithm – vector space model – designed to use objective quantitative pair-wise temporal operators to automatically detect co-occurring hot concepts. This PTA approach is demonstrated and validated without loss of generality for a spectrum of information technologies. Findings The rigorous validation study shows that the resulting temporal assessments are highly correlated with subjective assessments of experts (n = 136), exhibiting substantial reliability-of-agreement measures and average predictive validity above 85 per cent. Practical implications Using massive amounts of textual documents available on the Web to first generate a concept map and then add temporal knowledge, the contribution of this work is emphasized and magnified against the current growing attention to big data analytics. Originality/value This paper proposes a novel knowledge discovery method to improve a text-based concept map (i.e. semantic graph) via detection and representation of temporal relationships. The originality and value of the proposed method is highlighted in comparison to other knowledge discovery methods.

Intellectual structure of research in business ethics

2017 ◽  
Vol 8 (1) ◽  
pp. 100-120 ◽  
Author(s):  
Huilin Xiao ◽  
Yanling Wang ◽  
Weifeng Li ◽  
Zhenzhong Ma
Keyword(s):  
Business Ethics ◽  
Citation Analysis ◽  
Stakeholder Management ◽  
Leadership Role ◽  
Intellectual Structure ◽  
Content Type ◽  
Research Themes ◽  
Political Csr ◽  
Ethics Research ◽  
Time Periods

Purpose The study aims to map the intellectual structure of business ethics studies by analyzing 17,246 citations of 225 papers published in Business Ethics Quarterly (BEQ) in the year between 2005 and 2014. Specifically, the purpose of the study is to describe the current state of BEQ, identify the most influential journals and works, identify the key themes of business ethics studies during 2005-2014 and, at the same time, report the changes in themes by making a comparison between two time periods – 2005-2009 and 2010-2014. Design/methodology/approach First, the study presents the information of the authors, institutions and countries that contribute to BEQ with a statistical analysis. Second, the study identifies the most cited journals and works in BEQ during 2005-2014 with a citation analysis. Third, the study identifies the key research themes in business ethics studies with a co-citation analysis. With the help of factor and social network analysis (NA), the study groups the research themes and maps their links. Findings First, the statistical results show that many well-known researchers from famous US institutions publishing in BEQ. Second, the citation analysis results show that quite a few journals become mature gradually in business ethics domain. Besides, most of the influential works are normative and theoretical. Third, the co-citation results indicate that “stakeholder management” and “corporate social responsibility” (CSR) are two main themes in business ethics studies in the past decade. Specifically, “stakeholder management” attracts the most research interests in both two sub-time periods. In addition, compared with the pure studies on CSR during 2005-2009, increasing researchers are keen on the theme of “political CSR under globalization” in the second five years. Meanwhile, other focus like “society, state and business ethics” earns a certain degree of attention in the time window 2005-2009. And “accountability in MNCs” and “political philosophy” are the new concerns in the year between 2010 and 2014. Originality/value The study confirms BEQ’s leadership role in business ethics domain. And, it further proves that business ethics has evolved as an independent discipline. It also helps the researchers to have a concise knowledge of the main contents and key points of business ethics research. Methodologically, co-citation analysis combined with factor and NA provides clear results and visualized figures which can be understood easily by the researchers and practitioners.

A scientometric review of construction progress monitoring studies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tirth Patel ◽  
Brian H.W. Guo ◽  
Yang Zou
Keyword(s):  
Progress Monitoring ◽  
Current Knowledge ◽  
Future Research ◽  
Research Topics ◽  
Knowledge Domain ◽  
Content Type ◽  
Main Research ◽  
Research Themes ◽  
Construction Progress Monitoring ◽  
Research Domain

PurposeThis article aims to explore valuable insights into the construction progress monitoring (CPM) research domain, which include main research topics, knowledge gaps and future research themes. For a long time, CPM has been significantly researched with increasing enthusiasm. Although a few review studies have been carried out, there is non-existence of a quantitative review study that can deliver a holistic picture of CPM.Design/methodology/approachThe science mapping-based scientometric analysis was systematically processed with 1,835 CPM-related journal articles retrieved from Scopus. The co-authorship analysis and direct citation analysis were carried out to identify the most influential researchers, countries and publishers of the knowledge domain. The co-occurrence analysis of keyword was assessed to reveal the most dominating research topics and research trend with the visual representation of the considered research domain.FindingsThis study reveals seven clusters of main research topics from the keyword co-occurrence analysis. The evolution of research confirms that CPM-related research studies were mainly focused on fundamental and traditional CPM research topics before 2007. The period between 2007 and 2020 has seen a shift of research efforts towards digitalization and automation. The result suggests Building Information Modelling (BIM) as the most common, growing and influential research topic in the CPM research domain. It has been used in combination with different data acquisition technologies (e.g. photogrammetry, videogrammetry, laser scanning, Internet of Things (IoT) sensors) and data analytics approaches (e.g. machine learning and computer vision).Practical implicationsThis study provides the horizon of potential research in the research domain of CPM to researchers, policymakers and practitioners by availing of main research themes, current knowledge gaps and future research directions.Originality/valueThis paper represents the first scientometric study depicting the state-of-the-art of the research by assessing the current knowledge domain of CPM.

Mapping the intellectual structure of business-to-business loyalty literature: a bibliometric analysis approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Prathamesh Kittur ◽  
Swagato Chatterjee ◽  
Amit Upadhyay
Keyword(s):  
Bibliometric Analysis ◽  
Design Methodology ◽  
Intellectual Structure ◽  
Future Directions ◽  
Content Type ◽  
Emerging Trends ◽  
Research Themes ◽  
Knowledge Area ◽  
Intellectual Knowledge ◽  
Business To Business

Purpose This study aims to identify evolution and advancement in the field of business-to-business (B2B) loyalty knowledge area by analyzing its intellectual structure. Design/methodology/approach The authors use bibliometric analysis for quantitative evaluation of scholarly studies published on B2B loyalty area over a period of 27 years (1993–2020). The authors analyze intellectual knowledge base of B2B loyalty area by looking into 263 studies with 14,028 references authored by 693 researchers. Findings The results provide a comprehensive review of B2B loyalty area by identifying its foundations, influential works and intellectual communication linkage between these works. Notably, the analysis reveals most cited studies, key authors, important keywords, intellectual turning points and emerging trends of research in the discipline. Research limitations/implications This study creates a baseline for presenting precise and comprehensive insights into research themes in B2B loyalty area, and identifies progressive trends over a period. This study is also helpful for researchers in identifying future directions of research in the discipline. Originality/value This study reveals the intellectual structure of B2B loyalty area.

Intellectual structure of information science 2011–2020: an author co-citation analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dangzhi Zhao ◽  
Andreas Strotmann
Keyword(s):  
Citation Analysis ◽  
Information Science ◽  
Research Evaluation ◽  
Information Behavior ◽  
Intellectual Structure ◽  
Knowledge Domain ◽  
Science Field ◽  
Content Type ◽  
History Of ◽  
Time Periods

PurposeThis study continues a long history of author co-citation analysis of the intellectual structure of information science into the time period of 2011–2020. It also examines changes in this structure from 2006–2010 through 2011–2015 to 2016–2020. Results will contribute to a better understanding of the information science research field.Design/methodology/approachThe well-established procedures and techniques for author co-citation analysis were followed. Full records of research articles in core information science journals published during 2011–2020 were retrieved and downloaded from the Web of Science database. About 150 most highly cited authors in each of the two five-year time periods were selected from this dataset to represent this field, and their co-citation counts were calculated. Each co-citation matrix was input into SPSS for factor analysis, and results were visualized in Pajek. Factors were interpreted as specialties and labeled upon an examination of articles written by authors who load primarily on each factor.FindingsThe two-camp structure of information science continued to be present clearly. Bibliometric indicators for research evaluation dominated the Knowledge Domain Analysis camp during both fivr-year time periods, whereas interactive information retrieval (IR) dominated the IR camp during 2011–2015 but shared dominance with information behavior during 2016–2020. Bridging between the two camps became increasingly weaker and was only provided by the scholarly communication specialty during 2016–2020. The IR systems specialty drifted further away from the IR camp. The information behavior specialty experienced a deep slump during 2011–2020 in its evolution process. Altmetrics grew to dominate the Webometrics specialty and brought it to a sharp increase during 2016–2020.Originality/valueAuthor co-citation analysis (ACA) is effective in revealing intellectual structures of research fields. Most related studies used term-based methods to identify individual research topics but did not examine the interrelationships between these topics or the overall structure of the field. The few studies that did discuss the overall structure paid little attention to the effect of changes to the source journals on the results. The present study does not have these problems and continues the long history of benchmark contributions to a better understanding of the information science field using ACA.

scholarly journals In the eyes of Janus

2014 ◽  
Vol 1 (1) ◽  
pp. 56-76 ◽  
Author(s):  
Robert Kaše ◽  
Jaap Paauwe ◽  
Saša Batistič
Keyword(s):  
Social Exchange ◽  
High Performance ◽  
Social Exchange Theory ◽  
Life Cycle Stage ◽  
Business Community ◽  
Intellectual Structure ◽  
Knowledge Domain ◽  
Capital Theory ◽  
Content Type ◽  
Meta Analyses

Purpose – The purpose of this paper is to offer a perspective on the future of the human resource management (HRM)-performance debate and its prospects for interaction with practice by evaluating the debate's intellectual structure. Design/methodology/approach – With co-citation analysis the paper examines the intellectual structure that informed the HRM-performance debate. The findings were presented to a group of academics, who have been influential in the development of the debate. In several rounds of a quasi-Delphi interaction they discussed the state of the art, future development of the debate, upcoming theoretical sources of inspiration and topics on which they (dis)agreed. Findings – The dominant knowledge domain is built upon resource-based view, social exchange theory, human capital theory, institutional theory and critical perspective. It became well established in the mid 1990s, when the strategic HRM domain merged with the high performance work systems domain, thus forming the conceptual backbone of the debate. More recently the debate has been informed by review studies, meta-analyses and critical reflections on the current methodological paradigms, which is aligned with the debate's life cycle stage. Originality/value – The paper highlights the theoretical foundations of the HRM-performance debate and gives valuable suggestions on how to take the field forward along with important implications for researchers and their relationship with the business community.

Institutional repository research 2005-2015: a trend analysis using bibliometrics and text mining

2017 ◽  
Vol 33 (3) ◽  
pp. 264-278 ◽  
Author(s):  
Sujira Ammarukleart ◽  
Jeonghyun Kim
Keyword(s):  
Text Mining ◽  
Information Science ◽  
Open Data ◽  
Research Field ◽  
Intellectual Structure ◽  
Growth Trend ◽  
Comprehensive Overview ◽  
Content Type ◽  
Research Themes ◽  
Keywords And Phrases

Purpose This paper aims to investigate the longitudinal trends of research in the area of institutional repositories (IR) using bibliometric and text-mining methods. Design/methodology/approach The Library and Information Science Abstracts and the Web of Science citation databases were used as data sources. A total of 603 articles published in 109 peer-reviewed journals from 2005 to 2015 were collected and analyzed. The articles were analyzed in terms of publication trends, authorship patterns and keywords and phrases appearing in the article titles and abstracts. Findings The study shows that there has been a notable growth trend in research outputs, along with more participation and collaboration among institutes and countries. The study also found significant variability in the topics covered in the literature. In a comparison of the first period of 2005-2010 and the second period of 2011-2015, new research themes and foci, including research data, data management, linked open data, students and student research and an international audience, are observed in the later period. Originality/value This paper provides a comprehensive overview of publication, authorship and research themes in the IR research field. It describes the evolution of the intellectual structure of IR as a research field.

Two decades of Wikipedia research: a PubMed bibliometric network analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohamed M. Mostafa
Keyword(s):  
Design Methodology ◽  
Multiple Correspondence Analysis ◽  
Intellectual Structure ◽  
Collaboration Network ◽  
Content Type ◽  
Structure And Dynamics ◽  
Scholarly Publications ◽  
Pubmed Database ◽  
Bibliometric Review ◽  
Online Encyclopedia

Purpose This paper aims to examine the structure and dynamics of scholarly publications dealing with Wikipedia. The research also aims to investigate how such research evolved since its launch in 2001. Design/methodology/approach Wikipedia has grown to be the biggest online encyclopedia in terms of comprehensiveness, reach and coverage. Based on 1,040 PubMed Wikipedia documents written by 5,280 authors over two decades (2001–2021), this paper conducts a bibliometric review of the intellectual structure of scholarly publications dealing with Wikipedia. Findings Results show that annual scholarly publications on Wikipedia growth rate is 13.26. Major outlets publishing Wikipedia’s research are PloS One, the Journal of Medical Internet Research, Nucleic Acids Research, Studies in Health Technology and Informatics, Bioinformatics and the International Journal of Medical Informatics. Results also show that the author collaboration network is very sparse, signifying rather negligible collaboration among the authors. Furthermore, results reveal that the Wikipedia research institutions’ collaboration network reflects what is sometimes termed Wikipedia’s “North-South divide,” indicating limited collaboration between rich and poor nations’ institutions. Finally, the multiple correspondence analysis applied to obtain the Wikipedia research conceptual map and its intellectual structure reveals the intellectual thrust and the diversity of the scholarly publications dealing with Wikipedia. Originality/value To the best of the author’s knowledge, this research represents the first application of bibliometric methods to investigate two decades of scholarly publications dealing with Wikipedia based on the PubMed database.

Behavioral strategy: mapping the trends, sources and intellectual evolution

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jamil Anwar ◽  
Aqsa Bibi ◽  
Nisar Ahmad
Keyword(s):  
Strategic Management ◽  
Dynamic Capabilities ◽  
Growth Patterns ◽  
Intellectual Structure ◽  
Strategic Management Journal ◽  
Behavioral Strategy ◽  
Management Journal ◽  
Content Type ◽  
Network Analyses ◽  
Scopus Database

PurposeThis paper presents a comprehensive review of academic research dedicated to the field of Behavioral Strategy. Based on a series of Bibliometric and network analyses, the paper identifies the prominent trend and growth patterns pertaining to the evolution of this important strategic management subfield; it documents which particular journals, articles and authors have most influenced its development, and it maps the intellectual structure and network of authors, publications and countries. Finally, the paper considers the substantive research themes emerging from the analyses reported, in terms of their implications for future work.Design/methodology/approachThe authors undertook a series of Bibliometric and network analyses of 217 relevant articles, published between 1975 and 2020, in journals listed in the Scopus database, using R-studio and VOSviewer. Articles incorporated in the study were selected based on relevant key terms searched from the title, abstract and list of keywords associated with each publication.FindingsThe results demonstrate that behavioral strategy has enjoyed robust and sustained growth, with widespread impact across many areas of the heterogeneous business and management field as a whole. Three distinct periods are identified: an infancy stage (prior to 1999); a steady growth stage (1999–2010); and a take-off stage (2011 onwards). The top three journals in terms of content coverage, based on the number of relevant articles published in relation to behavioral strategy, are Strategic Management Journal, Advances in Strategic Management (AiSM) and the Journal of Management, while the top three most influential journals, in terms of citations pertaining to Behavioral Strategy, based on an analysis of citations in the Scopus database, are Strategic Management Journal, Academy of Management Perspectives and Journal of Management Studies. Gerard P. Hodgkinson and Thomas C. Powell are the most prolific authors. The emerging themes based on intellectual structures have been identified as Behavioral Strategy, Behavioral Theory of Firm; Strategic Leadership and Dynamic Capabilities; and Strategic Cognition and Decision Making.Practical implicationsThe study contributes to knowledge advancement concerning Behavioral Strategy by opening new possibilities to discover important research areas.Originality/valueThe study is the first of its kind on Behavioral Strategy providing a comprehensive systematic literature review.

Emerging trends in digital transformation: a bibliometric analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Raghu Nandan Chawla ◽  
Praveen Goyal
Keyword(s):  
Bibliometric Analysis ◽  
Business Models ◽  
Digital Technologies ◽  
Citation Network ◽  
Digital Transformation ◽  
Intellectual Structure ◽  
Future Research ◽  
Strategic Decisions ◽  
Content Type ◽  
Research Areas

PurposeUbiquitous digital technologies are driving organisations to embrace non-traditional digitally transformed business models incessantly. Heterogeneous literature contributions have resulted in a spur in the research related to business transformation driven by digital technologies in recent years; consequently, the research under the digital transformation (DT), even though becoming a hotspot, remains very fragmented. The authors endeavour to holistically present the literature's intellectual structure under DT as a concept, its evolving journey and the emerging research streams in the business and management domains using the techniques of bibliometric analysis.Design/methodology/approachBy performing bibliometric analysis on 234 research articles published over the last 20 years in the DT domain, retrieved from Thompson Reuters Web of Science TM, this study culls out thorough insights from the citation, co-citation and keyword analysis. Further emerging research streams were evaluated using VOSviewer software.FindingsThe study depicts an overall incremental trend of year-on-year publications, authors' performance, publication journals, associated institutions and research driving countries, along with key insights from co-citation network analysis. Furthermore, the study evaluates four research areas – organisational impacts, applied applications and insights, operational processes and social aspects, comprising eighteen research streams that comprehensively cover-up research under the DT domain.Research limitations/implicationsThe study contributes to the literature of DT by amalgamating the status of the present research, but more importantly, by deriving the research areas and research streams, which can be further expanded by researchers as future research streams.Practical implicationsFor the practitioners, the study aims to act as a ready reckoner repository with practice-oriented literature references to facilitate them building knowledge and taking effective strategic decisions to harness the benefits of DT more proficiently.Originality/valueThis study illustrates the bibliometric structure of the DT literature and presents insights from the growth of the literature year-on-year.

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