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The paper aims to provide a methodology by which organisational knowledge can be extracted and visualised dynamically over time, providing a glimpse into the knowledge evolution processes that occur within organisations.

Recursive analysis of email interactions is offered as a case to account for the knowledge structure evolution related to the different programs of international non-governmental organization (INGO). Several methods are used: analysis of the network expansion to see whether the process is random or uniform is performed, visualisation of the network configuration changes throughout studied time period; and the statistical examination of network formation.

The results of the presented study indicate that content structure of electronic knowledge networks exhibits hierarchical and centralised tendencies. The social network analysis results suggest that INGO exhibits non-hierarchical and decentralized structure of the individuals contributing to the discussion lists.

By providing the means to carry out network evolution analysis of content structure dynamics and social interactions, the presented work provides a means for probabilistically modelling patterns of organisational knowledge evolution.

The approach allows the exploration of the dynamics of tacit to explicit knowledge, from individual to the group and from informal groups to the whole organisation.

By displaying the large collection of the key phrases that reflected the evolution of the organisational knowledge structure over the time, organisational emails are placed in meaningful context explaining the language of the organisation and context of knowledge structure evolution.

Many of today's organizations already have a strong integration of groupware systems within their IT‐infrastructure. The shared databases of these groupware systems form organizational memories, which comprise the complete knowledge of an organization collected over the time of its existence. One key problem is how to find relevant knowledge or information in continuously growing and distributed organizational memories. In many cases, the basic functionalities and mechanisms of groupware systems are not sufficient to support users in finding required knowledge or information. Topic maps provide strong paradigms and concepts for the semantic structuring of link networks and therefore, they are a considerable solution for organizing and navigating large and, continuously growing organizational memories. The K‐Discovery project suggests applying topic maps to groupware systems to address the mentioned challenges. Thus, the K‐Discovery project introduces a conceptual framework, an architecture, and an implementation approach to create knowledge structures by generating topic maps from organizational memories and offers navigation tools to exploit the created structures.

The visualisation of knowledge structures through concept mapping can be employed to reveal critical links between theory and practice. This allows consideration of particular disciplinary knowledge structures and the active role of the student in manipulating these structures to gain understanding, in a manner that can encourage students to contribute to the evolution of practice. The focus on knowledge structures can highlight the relationship between the curriculum and the discipline, and provides a tool to facilitate the integration of contemporary educational theories that may underpin teaching and curriculum development, such as learning styles, threshold concepts, conceptual stasis and semantic gravity. Visualisation invites original connections to be made between ideas and re-orientated to reveal new ways of conceptualising teaching at university: to include the structural transformation of knowledge as a potential threshold concept in higher education.

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.

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.

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.

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.

This study aims to provide the current and future state of United Nations’ Sustainable Development Goals (SDGs) in the higher education institutions (HEIs). Since the SDGs’ proliferation, HEIs have played a crucial part in meeting the goals. Despite the central role of HEIs in accomplishing the SDGs, there has been little attention in providing a comprehensive overview of the SDGs in relation to HEIs.

A total of 280 publications in the Web of Science database were analyzed through a bibliometric approach consisting of citation analysis, co-citation analysis and co-occurrence of keywords analysis. This review explores the current state of SDGs, its central themes of research streams and predicts future direction in the context of HEIs.

The findings would assist stakeholders to strategize the SDGs on HEIs, including the government and policymakers, university top management, benefactors and academics. Three main research streams were observed sustainable curriculum; challenges and barriers of SDGs; and COVID-19 and health management.

Implications suggest that to achieve the stipulated goals in the SDGs, proper planning and strategy should be aligned proportionate to the national agenda.

This paper presents a novel knowledge structure by mapping the most relevant SDGs in the context of HEIs based on bibliometric analysis.

The purpose of this paper is to assess the use of two innovative job analysis techniques. First, a graphic‐based approach is used to collect job classification data. Second, the results are presented in a graphical representation to decision makers. In addition, the paper examines two concepts, similarity and relatedness, often confused by subject matter experts (SMEs) and decision makers in the context of job classification.

A case study approach was used. Focus groups of SMEs used a graphic‐based tool to group jobs into occupational clusters based on the concepts of similarity and relatedness. To effectively communicate the results to organizational decision makers a graphic presentation technique was used.

The paper found that SMEs were highly engaged in the graphical approach. Decision makers were also intrigued by the graphical presentation. In addition, the paper found confusion between the concepts of similarity and relatedness throughout the process. This confusion had important implications for the grouping of jobs into occupational clusters.

The graphic presentation of results highlighted issues around which the agency had been previously struggling. The approach allowed decision makers to examine and understand meaningful data and reach consensus on complex, multi‐faceted issues. The results also showed that people often confuse the similarity and relatedness of jobs, and that this confusion should be taken into consideration when communicating with non‐job analysts.

Job analysis and classification has changed little over the past several decades. This paper applies innovative ideas to job classification which are equally applicable to job analysis offering interesting avenues for future research and practice.

The purpose of this article is to explore the potential of visualization for corporate knowledge management.

The employed methodology consists of a taxonomy of visualization formats that are embedded in a conceptual framework to guide the application of visualization in knowledge management according to the type of knowledge that is visualized, the knowledge management objective, the target group, and the application situation. This conceptual framework is illustrated through real‐life examples.

The findings show that there is much room for knowledge management applications based on visualization beyond the mere referencing of experts or documents through knowledge maps.

The research implications thus consist of experimenting actively with new forms of visual knowledge representation and evaluating their benefits or potential drawbacks rigorously.

The authors encourage managers to look beyond simple diagrammatic representations of knowledge and explore alternative visual languages, such as visual metaphors or graphic narratives.

This paper consists of two elements: first, the systematic, descriptive and prescriptive approach towards visualization in knowledge management, and second the innovative examples of how to harness the power of visualization in knowledge management.

The purpose of this contribution is to motivate a new, rapid approach to modeling knowledge work in organizational settings and to introduce a software tool that demonstrates the viability of the envisioned concept.

Based on existing modeling structures, the KnowFlow toolset that aids knowledge analysts in rapidly conducting interviews and in conducting multi‐perspective analysis of organizational knowledge work is introduced.

This article demonstrates how rapid knowledge work visualization can be conducted largely without human modelers by developing an interview structure that allows for self‐service interviews. Two application scenarios illustrate the pressing need for and the potentials of rapid knowledge work visualizations in organizational settings.

The efforts necessary for traditional modeling approaches in the area of knowledge management are often prohibitive. This contribution argues that future research needs to take economical constraints of organizational settings into account in order to be able to realize the full potential of knowledge work management.

This work picks up a problem identified in practice and proposes the novel concept of rapid knowledge work visualization for making knowledge work modeling in organizations more feasible.

This work develops a vision of rapid knowledge work visualization and introduces a tool‐supported approach that addresses some of the identified challenges.

This study was developed in response to the need to develop age-friendly smart living environments due to the complex demands placed on society by the ageing of the population. This study aims to analyse the potential that knowledge visualisation offers collaborative decision-making applied to the development of a multiple criteria framework supporting knowledge management (KM) through knowledge collaboration (KC) and knowledge sharing (KS) in the context of regional innovation systems (RIS).

Using a socio-technical approach, knowledgeable and experienced representatives of RIS innovation actors were brought together to develop a constructivist multiple criteria framework that integrates knowledge visualisation and collaborative decision-making techniques (i.e. cognitive mapping and system dynamics).

The study introduces a multiple criteria model supporting KM encompassing conditions and practices of RIS innovation actors facilitating and encouraging KC and KS. The potential for knowledge visualisation in collaborative decision-making is explored in great depth and illustrated in a case study setting.

The panel members who participated in this study consider our methodological proposal to be extremely versatile and see great potential for further applications in RIS contexts.

The combined use of cognitive mapping and system dynamics according to the strategic options development and analysis (SODA) approach offers a holistic and well-informed perspective on the issue in question. The literature reports no prior work of this methodological combination in the same research context.

This study applies digital humanity tools (Gephi and Protégé) for establishing and visualizing ontologies in the cultural heritage domain. According to that, this study aims to develop a novel evaluation approach using five ontology indicators (data overview, visual presentation, highlight links, scalability and querying) to evaluate the knowledge structure presentation of cultural heritage ontology.

The researchers collected and organized 824 pieces of government’s open data (GOD), converted GOD into the resource description framework format, applied Protégé and Gephi to establish and visualize cultural heritage ontology. After ontology is built, this study recruited 60 ontology participants (30 from information and communications technology background; 30 from cultural heritage background) to operate this ontology and gather their different perspectives of visual ontology.

Based on the ontology participant’s feedback, this study discovered that Gephi is more supporting than Protégé when visualizing ontology. Especially in data overview, visual presentation and highlight links dimensions, which is supported visualization and demonstrated ontology class hierarchy and property relation, facilitated the wider application of ontology.

This study offers two contributions. First, the researchers analyzed data on East Asian architecture with novel digital humanities tools to visualize ontology for cultural heritage. Second, the study collected participant’s feedback regarding the visualized ontology to enhance its design, which can serve as a reference for future ontological development.