scholarly journals A Study on the Network Generation Methods for Examining the Intellectual Structure of Knowledge Domains

2006 ◽  
Vol 40 (2) ◽  
pp. 333-355 ◽  
Author(s):  
Jae-Yun Lee
Keyword(s):  
Intellectual Structure ◽  
Network Generation ◽  
Knowledge Domains ◽  
Structure Of Knowledge

KM Coursework: Pooled Judgments of Experts

2013 ◽  
Vol 12 (02) ◽  
pp. 1350017
Author(s):  
Sajjad ur Rehman ◽  
Abdus Sattar Chaudhry ◽  
Sakeena A. Al-Alawi
Keyword(s):  
Knowledge Management ◽  
Curriculum Design ◽  
Graduate Programs ◽  
Intellectual Structure ◽  
Web Based ◽  
Knowledge Culture ◽  
Knowledge Organisation ◽  
Standard Terminology ◽  
Structure Of Knowledge ◽  
Conceptual Foundations

Knowledge management (KM) is maturing as a field of study with an interdisciplinary orientation, being taught in a variety of schools by the faculty from diverse affiliations. In this context, KM curriculum design becomes a major challenge for educators. This study was designed with the purpose of analyzing the perceptions of senior KM academics and KM experts about the relevance and value of KM constructs in graduate programs. KM curriculum content was proposed based on an earlier study of KM modules (Rehman and Sumait, 2010). KM modules: An analysis of course. In Paper presented at the Pre-conference on LIS Education in Developing Countries, 75th Annual IFLA Conference, Milan, Italy; revised version accepted for publication in Journal of Information and Knowledge Management, 2010) about what is being taught in the KM programs. We also used findings of a validated set of KM taxonomy that indicated both the structure of the discipline and disciplinary content expressed in standard terminology (Tan, 2010; Chaudhry and Lee, 2009). Intellectual structure of knowledge management. The International Journal of Knowledge, Culture and Change Management, (9)). Two hundred KM academics and experts were identified internationally as potential participants. They were requested to respond to a Web-based survey, indicating their perceptions about the value and relevance of KM statements/modules. Fifty-one of them responded to the survey. The results have indicated that the academics placed a great deal of emphasis on the conceptual foundations of the discipline for its inclusion in the curriculum. KM modules related to KM processes, knowledge sources, KM technology, knowledge organisation, and knowledge sharing received a clear emphasis. It is expected that the findings of this study will be useful for those engaged in curriculum design or revision.

scholarly journals Evolution of the Socio-cognitive Structure of Knowledge Management (1986–2015): An Author Co-citation Analysis

2019 ◽  
Vol 4 (2) ◽  
pp. 36-55
Author(s):  
Carlos Luis González-Valiente ◽  
Magda León Santos ◽  
Ricardo Arencibia-Jorge
Keyword(s):  
Knowledge Management ◽  
Citation Analysis ◽  
Web Of Science ◽  
Cognitive Structure ◽  
Intellectual Structure ◽  
Homogeneous Field ◽  
Research Activities ◽  
Strategic Influence ◽  
Structure Of Knowledge ◽  
Practical Implications

Abstract Purpose The evolution of the socio-cognitive structure of the field of knowledge management (KM) during the period 1986–2015 is described. Design/methodology/approach Records retrieved from Web of Science were submitted to author co-citation analysis (ACA) following a longitudinal perspective as of the following time slices: 1986–1996, 1997–2006, and 2007–2015. The top 10% of most cited first authors by sub-periods were mapped in bibliometric networks in order to interpret the communities formed and their relationships. Findings KM is a homogeneous field as indicated by networks results. Nine classical authors are identified since they are highly co-cited in each sub-period, highlighting Ikujiro Nonaka as the most influential authors in the field. The most significant communities in KM are devoted to strategic management, KM foundations, organisational learning and behaviour, and organisational theories. Major trends in the evolution of the intellectual structure of KM evidence a technological influence in 1986–1996, a strategic influence in 1997–2006, and finally a sociological influence in 2007–2015. Research limitations Describing a field from a single database can offer biases in terms of output coverage. Likewise, the conference proceedings and books were not used and the analysis was only based on first authors. However, the results obtained can be very useful to understand the evolution of KM research. Practical implications These results might be useful for managers and academicians to understand the evolution of KM field and to (re)define research activities and organisational projects. Originality/value The novelty of this paper lies in considering ACA as a bibliometric technique to study KM research. In addition, our investigation has a wider time coverage than earlier articles.

scholarly journals Intellectual structure of knowledge in Andrology field (2008 to 2017): A Co-word analysis

2019 ◽  
Author(s):  
Fatemeh Makkizadeh ◽  
Esmaeil Bigdeloo
Keyword(s):  
Publication Rate ◽  
Intellectual Structure ◽  
Human Reproduction ◽  
Research Approach ◽  
Clustering Methods ◽  
Word Analysis ◽  
The Usa ◽  
Reproductive Techniques ◽  
Effective Role ◽  
Structure Of Knowledge

Background: The Co-word analysis has the ability to identify the intellectual structure of knowledge in a research domain and reveal its subsurface research aspects. Objective: This study examines the intellectual structure of knowledge in the field of Andrology during the period 2008-2017 using Co-word analysis. Materials and Methods: In this descriptive-analytical study with a scientometric approach, the WoS database was searched for papers indexed under “Andrology” over the period 2008–2017. The data were analyzed using Co-word, clustering methods, and strategic diagram with the help of SPSS, UcInet, RavarPreMap and VOSviewer software. Results: The highest publication rate in the area of Andrology was seen in countries like the USA, China, Italy, and Iran. The top three journals that published papers on the field were Fertility and Sterility, Andrologia, Human reproduction. The results showed that the keyword “Spermatozoa” and two pairs of frequently used keywords, namely “Azoospermia * Oligospermia” were the most frequent in the field of Andrology. The results of hierarchical clustering led to 13 clusters. The clusters “Reproductive Techniques” and “Spermatogenesis” are the core clusters and play an effective role. The ”Post-Testicular causes” and “Neoplasm” clusters are in marginal. Conclusion: This study represented that Co-word analysis can well illustrate the intellectual structure of an area. Considering the frequency of keywords along with the clusters obtained, it seems that the majority of research approach was seen on infertility treatments, especially through assisted reproductive technology. Despite the importance of psychological aspects as well as education of reproductive health, these subjects have not been sufficiently considered.

Building intellectual structure of knowledge sharing

2019 ◽  
Vol 50 (1) ◽  
pp. 136-162 ◽  
Author(s):  
Anil Kumar Goswami ◽  
Rakesh Kumar Agrawal
Keyword(s):  
Knowledge Sharing ◽  
Research Area ◽  
Intellectual Structure ◽  
Multiple Perspectives ◽  
Research Papers ◽  
Holistic View ◽  
Content Type ◽  
Organizational Interventions ◽  
Structure Of Knowledge ◽  
Practical Implications

Purpose This study aims to build the intellectual structure of knowledge sharing (KS) research by objectively and systematically capturing and sketching the content of research papers published in the KS research area. Design/methodology/approach This study uses a systematic literature review for data collection, and content analysis and bibliometric techniques of citation and co-citation analysis for data analyses and interpretation. Findings Based on the study, the intellectual structure of KS research consisting of five themes has emerged. The five themes identified are: models, frameworks and understanding for KS, the behaviour-oriented perspective of KS, technology-oriented perspective of KS, KS barriers and KS and firm’s performance. Research limitations/implications This study has used published literature extracted from selected journals using the web of science database. More journals and databases may be included in future studies. Practical implications This study will give future researchers a comprehensive understanding of KS discipline and serve as a quick reference and resource for those interested in KS research. It identifies major areas of KS for the practitioners to enable them to focus and apply various organizational interventions to derive a competitive advantage. The identified themes in the intellectual structure of KS will also provide a holistic view and give multiple perspectives to practitioners so that they can better manage KS in their organizations. Originality/value This is among early studies aiming to extract the intellectual structure of KS in the broad area of knowledge management research.

scholarly journals Neural embeddings of scholarly periodicals reveal complex disciplinary organizations

2021 ◽  
Vol 7 (17) ◽  
pp. eabb9004
Author(s):  
Hao Peng ◽  
Qing Ke ◽  
Ceren Budak ◽  
Daniel M. Romero ◽  
Yong-Yeol Ahn
Keyword(s):  
Biological Sciences ◽  
Citation Network ◽  
Continuous Vector ◽  
Science Of Science ◽  
Knowledge Domains ◽  
Embedding Technique ◽  
Vector Representations ◽  
Scientific Periodicals ◽  
Structure Of Knowledge

Understanding the structure of knowledge domains is one of the foundational challenges in the science of science. Here, we propose a neural embedding technique that leverages the information contained in the citation network to obtain continuous vector representations of scientific periodicals. We demonstrate that our periodical embeddings encode nuanced relationships between periodicals and the complex disciplinary and interdisciplinary structure of science, allowing us to make cross-disciplinary analogies between periodicals. Furthermore, we show that the embeddings capture meaningful “axes” that encompass knowledge domains, such as an axis from “soft” to “hard” sciences or from “social” to “biological” sciences, which allow us to quantitatively ground periodicals on a given dimension. By offering novel quantification in the science of science, our framework may, in turn, facilitate the study of how knowledge is created and organized.

Intellectual Structure of Knowledge Management: A Bibliometric Analysis of the Journal of Information and Knowledge Management

2021 ◽  
Author(s):  
Nohade Nasrallah ◽  
Osama F. Atayah ◽  
Rim El Khoury ◽  
Allam Hamdan ◽  
Shaher Obaid
Keyword(s):  
Knowledge Management ◽  
Emerging Technologies ◽  
Conceptual Structure ◽  
Organization Culture ◽  
Intellectual Structure ◽  
Combined Approach ◽  
Citation Pattern ◽  
Graphical Visualization ◽  
Structure Of Knowledge ◽  
Information And Knowledge Management

The Journal of Information and Knowledge Management (JIKM) published its first issue in 2002 and celebrated its 19th birthday in 2020. This study aims to assess JIKM performance over its lifetime between 2002 and 2020 by extracting data from the Scopus database and using a combined approach of bibliometric and content analysis. More specifically, we evaluate JIKM’s productivity and stature, discuss its performance compared to other journals, and identify key contributing (authors, institutions, and countries), citation pattern, and conceptual structure. The results highlight JIKM’s growing presence, which is reflected in the dual rise of publication activity and accumulated citation. JIKM becomes one of the preeminent journals in the area of knowledge management, with a broad range of scientific actors’ contributions (authors, institutions and countries) from all over the world. Furthermore, using a bibliographic coupling, keywords’ analysis, and co-authorship analysis, we analyse JIKM’s content and identify the most frequent themes discussed. The analysis reveals that JIKM has expanded its scope from knowledge management to a new array of emerging technologies’ topics such as artificial intelligence and data mining. Graphical visualization of similarities (VOSviewer and Rstudio) shows that the major themes published are clustered into four groups, mainly (i) sustainable knowledge, (ii) emerging technologies, (iii) information management, and (iv) organization culture and knowledge sharing.

Intellectual structure of knowledge in iMetrics: A co-word analysis

2017 ◽  
Vol 53 (3) ◽  
pp. 705-720 ◽  
Author(s):  
Ali Akbar Khasseh ◽  
Faramarz Soheili ◽  
Hadi Sharif Moghaddam ◽  
Afshin Mousavi Chelak
Keyword(s):  
Intellectual Structure ◽  
Word Analysis ◽  
Structure Of Knowledge

An author co-citation analysis of 37 years of iMetrics

2018 ◽  
Vol 36 (2) ◽  
pp. 319-337 ◽  
Author(s):  
Ali Akbar Khasseh ◽  
Faramarz Soheili ◽  
Afshin Mousavi Chelak
Keyword(s):  
Network Analysis ◽  
Citation Analysis ◽  
Sociology Of Science ◽  
Intellectual Structure ◽  
Science Mapping ◽  
Content Type ◽  
Subject Areas ◽  
Structure Of Knowledge ◽  
Theoretical Foundations

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.

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