This paper presents the first results from an analysis of recent job advertisements from online platforms from English and German-speaking countries. The full texts of about 4100 job adverts carrying the terms “knowledge manager” or “knowledge management” either in in the job title or in the short description have been analyzed. The main research aim was to identify the most common KM job titles, providing a basis for further analysis of tasks and required competencies to compare the data samples. In particular, the research will address the following research questions: RQ1: What are the job titles used in job adverts related to KM? RQ2: Which tasks are mainly associated with different KM job titles (roles)? RQ3: Which competencies & skill sets are typically required in job adverts? This research inform KM practitioners and HR managers as well as the KM community about landscape of KM roles, main tasks and skills required on the labor markets in the German-speaking (AU, CH, DE) countries and three English-speaking (AUS, UK, USA) countries.

Soft skills have become increasingly important in the workplace, particularly in knowledge management (KM). Developing a knowledge culture in an organization depends on the soft skills of leaders. KM literature, however, does not often discuss the development and teaching of soft skills that can facilitate the success of knowledge management in organizations. This presentation will present the challenge of teaching and learning soft skills as well as a proposed framework to address those challenges.

Brazilian scientific and technological research in the space area covers a diversity of themes so that its results are applied in several areas, such as earth observation, fire control, climate change, telecommunications, and security, among others. By providing useful products and services for society, economy, and industry, one perceives its relevance and the need to improve Brazil's space research. Thus, given its social and economic importance, this project aims to structure, based on scientific and situated knowledge, a framework that could help to mitigate the knowledge risks identified in the diverse types of organizations and sectors that are part of the Brazilian Space Program. This work in progress will try to address this problem by providing a methodological framework based on Knowledge Governance tools and it is intended to homogenize and mitigate the knowledge risks identified in the diverse types of organizations that are part of the Brazilian Space sector. The methodological approach to be used in the research will be predominantly qualitative, with possible quantitative treatment when analyzing the collected data used to develop the framework. This paper identify, analyze and catalogue, based on the distinct categories found in the literature, the types of knowledge risks observed in organizations …

Project-based learning (PjBL) allows learners to focus on a topic of their interest and apply the presented and acquired knowledge in their current (work) practice. When applied in institutional contexts, these particularities have to be recognized for stakeholder-centered learning support. In this paper we report on identifying and designing value exchanges between concerned stakeholder groups by methodological deployment of the Value Network Analysis. The individual and collective perception of PjBL experiences could be externalized and design inputs of involved and addressed stakeholder groups could be developed in a non-disruptive way. The results give way for increasing self-efficacy of knowledge acquisition and skill development in (digital) learning environments.

Neo-learning was developed as a teaching and learning methodological platform for the Networked Corporate University (NCU) model, in order to promote experiential and expansive learning for the development of competences and facilitate the transfer of learning to work practice. The purpose of this article is to present the neo-learning as a methodological support of the Networked Corporate University model to facilitate the transfer of learning into practice. To achieve this objective, a qualitative approach was chosen for exploratory and descriptive purposes, through a narrative literature review and multiple case studies of the application of the methodology. This article presents the main approaches and theories that underlie the NCU model and the neo-learning methodology. The neo-learning cycle and the applications that validate the methodology are also presented. It is concluded that the neo-learning methodology was developed in accordance with the NCU model to support the teaching and learning processes. The methodology can be considered validated, since it has been applied in several research and extension projects, in academic and corporate, public and private universities, in undergraduate and graduate programs, for initial training, for the developing of teachers and tutors of the presential, online, and remote modalities.

In Nova Scotia, the marginalization of African Nova Scotian learners in the public education system has led to an achievement gap, where their performance in terms of literacy and numeracy in annual assessments is often below the provincial average. This research aims to use machine learning to analyze student data collected by the Nova Scotia Department of Education and Early Childhood Development to provide evidence-driven insights into the schooling outcomes of African Nova Scotian students. We expect that these insights would enable the development of an equitable education system where African Nova Scotian students are able to achieve their maximum potential and overcome the barriers that they face at school. Through collaboration with the Regional Centers of Education, the Nova Scotia Department of Education and Early Childhood Development has been collecting data to track students’ education experiences. We aim to analyze this data using machine learning algorithms to identify learning patterns and promising school characteristics that would provide an understanding of how we can reduce the achievement gap that exists among African Nova Scotian students.

Risk management is generally characterized by identification, assessment, and mitigation. In the literature on knowledge risk management (KRM), there appears to be much emphasis on taxonomies - which primarily focus on identification - and mitigation strategies, without particular attention to the evaluation phase of KRM. To address this gap, the present paper aims to systematically evaluate potential knowledge risks common at the operational level of small and medium-sized enterprises (SMEs). More significantly, in SMEs, due to their flat structure, the majority of risk is borne by operational functions. This study adopts a quantitative approach by utilizing the grey-DEMATEL technique. The results of this study reveal outsourcing risks are the most critical of all operational knowledge risks followed by communication risks and improper knowledge application. Furthermore, it is observed the risks could be categorized into effect-risk (e.g. relational risk, espionage knowledge waste, continuity risk) and cause-risk (e.g. knowledge waste, risks related to knowledge gaps, risk of using obsolete/unreliable knowledge)

By writing this paper we tried to illustrate the practical difference between KM initiatives in R&D and industry. However, the overlapping of the approaches at some certain stages are visible. The information management has been considered as an essential part of the knowledge management in both of organizations. The capture of the critical knowledge in both organizations remains a main issue even if the selected methods are different. The coaching & mentoring program which are well implemented at the IRE (HZDR), are may be difficult to realize/accomplish at the BGE. However, the pilot coaching program is planned at the BGE, but currently not available due to the “young” founding date in 2017. One of the main concerns of the BGE as an implementer, is the motivation and encouragement of all employees to share and distribute their knowledge and benefit from each other.

The iMapping technique is a visual knowledge mapping approach that is based on deep zooming and nesting and that unites the essential benefits of virtual whiteboards, mind maps and concept maps. To achieve that, it breaks the physical page metaphor and introduces an infinitely zoomable, nested canvas, to create large scalable knowledge spaces. It has been originally developed and scientifically evaluated in the context of personal knowledge management only. Infinity Maps is the state-of-the art successor of the iMapping Tool: A cloud based visual knowledge and productivity platform. It not only fully implements the visual iMapping approach but takes it to the next level, by adding real-time collaboration and sharing functionality – thus also adding the benefit of wikis. This has enabled knowledge workers to create shared knowledge spaces with hitherto unseen depth. Nested Maps with thousands of individual cards, 10 and more levels of hierarchy and zoom-factors of one to several thousand are normal. With this paper, we want to introduce Infinity Maps to the knowledge management community and showcase some real-life examples of visual Knowledge Management, from personal research over teaching and learning to corporate knowledge management.

Theses and dissertations, as a means to accumulate concepts, innovations, and implementations, are the main building blocks of the creative learning organization. In this research, we focus on a digital media-oriented graduate program in Architecture, where young researchers often derive their theses from various disciplines and encounter difficulties when exploring unfamiliar research areas. The aim of this paper is to provide a new way to explore the thematic map of knowledge generated in theses. The study proposes a bibliometric analysis method with a visualizing workflow embedded with focus+context visualization to support wayfinding in theses networks. In this study, we extracted terms from 95 design research theses across 2002 to 2022 in an applied knowledge base of a creative institution, and conducted automated data pre-processing to apply the co-occurrence analysis for thematic clusters. We present a framework around 3 abstract processes to design the interactive visualization for exploring multivariate information based on top-down and bottom-up perspectives. The results reveal that digital media-oriented theses papers cover 3 main topics and highlight the shifting pattern of the research interest. The integrated workflow can be applied to different academic works, such as syllabus, and projects, given the possibility to expand the knowledge and explore …

Conference abstracts and project reports can be a valuable source for access to information on possible risks or experiences to build on. However, these collections are often not accessible in a convenient manner. This work explores the usage of knowledge graphs to support document discovery with an automated indexing approach. Therefore, an RDF/SKOS graph is built, consisting of nearly 1400 tagging labels manually extracted from literature on knowledge graphs and organized in a thesaurus structure. The feasibility is demonstrated with a small collection of texts from the domain of library IT. The graph is published online for further use (cf. https://w3id.org/kgcm/ ). This method may be usable to explore other knowledge domains. On the other hand, the graph-building process is both intellectually and technically demanding and needs support by an interplay of cooperative and mechanical processes in the future.

WeChat group-based online medical community (WGMC) is increasingly accepted by the public because of its high efficiency, convenience, and shared advantages in seeking medical resources. However, the problem to separate a complete dialogue relationship from the chat records is arising because efficient online community management is based on clear dialogue relationships and clear topics. To solve the problem, we proposed a hybrid three-stages BERT method to recognize the dialogue relationships in "Home of Love" --- a central nervous system tumor online healthy community WeChat group. First, based on the social support theory, a multi-layer BiLSTM model is proposed to classify the conversation scenes into five classes. Then, two domain adaptation methods for transfer learning are designed to optimize the BERT pre-training model for specific tasks using the "Haodaifu" as the training corpus. Finally, a hybrid BERT method based on the text scene information and the pre-training model is proposed to recognize the dialogue relationships, and its feasibility is verified by manual labeling. The results show that adding more prior knowledge to the dialogue recognition model by extracting the social support scene information can effectively improve the classification ability and stability of the model.

The study in this paper aims to describe the mechanism of knowledge recall in the context of organizational memory. We approached a startup involved in the development of a digital marketplace and observed how the founders interacted with the accumulated knowledge. With observation as the research method and longitudinal data collected, we found the founding group in the way they understood organizational memory. There are three mechanisms of remembering organizational memory including identification, adaptation, and correction. The identification mechanism is the highest level of recall ability followed by adaptation and correction. This study implies that founders with different backgrounds have different ways of remembering organizational memory.

To provide solutions to the world’s global challenges, there is an urgent demand for wise organizations, wise leadership, wise workers, and most importantly, for wise actions. Since the mid- 1990s, Knowledge Management (KM) as a discipline and practice has emerged internationally and it went through several phases of development. Similarly, in the last four decades, we experience a growth in wisdom research, and in intense discourses about Wisdom Management (WM) as a possible venue for dealing with wicked problems. The dilemma is, whether the present phase of KM would be able to address the global problems of the world. Therefore, this paper seeks to answer the question if WM will complement or replace KM. The purpose is to compare KM and WM. The research methodology is an explorative approach of their main characteristics and concepts in a selected range of literature. The findings are presented in a framework to show the similarities and differences of KM and WM. Keywords: Knowledge Management (KM), Wisdom Management (WM), phases of KM, wisdom economy, wise leaders, wisdom workers, global problems of the world.

In project-based organizations, knowledge management is becoming a cornerstone of their operation. Of particular importance in acquiring valuable and useful for employees, as well as for the whole organization, is one of the processes of its conversion – externalization. It is important that during the implementation of subsequent projects, valuable resources such as knowledge, skills and experience acquired by employees are not lost, but that employees externalize them. The purpose of this article is to seek an answer to the research problem posed, concerning the course and methods of knowledge externalization in project activities and ways of knowledge externalization in the process of building project knowledge management systems in public organizations.

Creativity is no stranger to knowledge management and has helped drive innovation and break new grounds in the management of knowledge. Organisations in general see creativity as a highly desirable outcome and strive to develop it further. This conceptual paper looks at a number of academic writings to identify the role of creativity in knowledge management. A number of common themes are identified, while highlighting the need for further research into the importance of creativity in knowledge management.

Managing flood-related data to assist in the disaster management is a critical process of high importance during a flood disaster. These data are heterogeneous and can be provided from different data sources, and integrating them is a challenging task which allows to infer new information that helps in limiting the consequences of a flood. In this paper, we propose a novel approach that manages heterogeneous flood-related data based on semantic web techniques and helps in limiting the damage caused by floods. We first propose an ontology that is used to formally describe the flood-related data, and we build our knowledge graph through integrating heterogeneous data using the proposed ontology. Then, we propose a reasoning approach using SHACL rules to infer new information that helps in managing the flood disaster or in anticipating future events. The experimental evaluations of our proposed approach are conducted on a real case study in the frame of flood disaster management with the aim of generating evacuation priorities. The results show that it succeeds in managing heterogeneous flood-related data and generating evacuation priorities in a very short time.

The psychiatric disorder rates among opioid dependents have alarmingly increased over the last decades, and these disorders are higher for women than men and higher for individuals in low socioeconomic groups. Previous knowledge asserted that opioids had no addictive or harmful effects that could lead to psychiatric disorders, but the recent discovery of opioid-related knowledge reversed the existing belief. The purpose of this research is to discover how the new knowledge has changed regarding psychiatric disorders from opioids between men and woman and across socioeconomic groups. In order to uncover these changes, the research data is obtained from the Treatment Episode Data Set (TEDS) in 2007 and 2017. While the percentage of psychiatric disorders among opioid dependents is higher for women than men, unexpectedly the growth rate of psychiatric disorders for men is much faster than women. As such, the socially constructed conventional knowledge that psychiatric disorders are women’s illness will change in the near future. Congruent with existing knowledge, psychiatric disorders in this dataset are higher for underprivileged brackets such as those with low education, unemployed, separated, divorced, and widowed people, and Medicaid recipients, and the growth rates for these groups are steeper than their counterparts.

Using technology and e-publication formats, Mobilizing Computable Biomedical Knowledge (MCBK) aims to promote learning health services and reduce time to get healthcare products to patients. This paper summarizes developing a community of practice (CoP) experts, providing educational activities, and plans for sustainable Open Educational Resource (OER) materials online as funded by an IMLS grant.* Activities were part of a pilot training for 20 knowledge managers, students and professionals in Library and Information Science (LIS) in December, 2021. The educational goal is to introduce MCBK concepts globally and and to promote KM and LIS leadership in designing healthcare repositories and accessing information. Beyond text and graphics, CBK publications provide encodable prediction models and computable information in electronic media. It is “dynamic knowledge” in open access formats. Such computable knowledge allows readers to evaluate and validate data or tools that may, for example, compute a risk score for infection. Analysis and review by e-journal readers may reduce time to implementation in healthcare systems or K2P (knowledge to performance) from years with traditional peer- reviewed publications to months using electronic, open access. The summaries and exercises in this paper are from presentations during the pilot training, which were assessed and recommended by student …

Quantum physics surpasses human imagination. It totally contradicts everyday experiences. Even literal and mathematical explanations cannot substitute for a non-intuitive behavior that puzzles many of us. Commercial quantum computers are in reach within this decade. History provides examples that the appearance of new technologies brought metaphors to life that may explain up to that point poorly understood knowledge domains (e.g., "brains are hardware while thoughts are software"). The author describes why the proliferation of quantum computers will be accompanied by the rise of metaphors that explain quantum effects. For one, those might help to better communicate about the best use and consequences of quantum computers. But those metaphors could also shed light on organizational performance at all. To show a practical example, the author proposes how the use of quantum metaphors could help organizations to prepare for the quantum computing era - without being exact in predictions about most likely technical implementation of quantum capabilities.

We discuss the engineering of so-called ‘humanoid’ socio-technical settings mimicking cognitive and social skills. We discuss the influence of Artificial Intelligence (AI) on digital selves. We introduce relevant approaches to awareness and the emergence of consciousness in artificial agents. We define mandatory properties of digital selves so that digital societies can be modeled and we present our thoughts on the role of KM in a trans-humanist world.

This paper seeks to identify factors that contribute to improving the way the Asian Development Bank (ADB) understands and responds to the knowledge needs of its developing member countries (DMCs). The COVID-19 pandemic and continuing uncertainties highlighted the importance of knowledge management in helping governments in DMCs make well-informed decisions to respond to the crisis and work for recovery. As ADB’s DMCs are at various stages of development, it is essential to identify, differentiate and manage knowledge that can advance these countries to achieve development objectives and part of that the Sustainable Development Goals (SDGs). ADB’s Strategy 2030 aims to strengthen its country-focused approach using the Country Partnership Strategy (CPS) as the main platform to provide lending and knowledge to its DMCs. An important part of the CPS is the country knowledge plan (CKP) that outlines how ADB is supporting the country’s knowledge needs over the CPS period. This paper discusses the significant enhancements introduced to make the CKP process ‘dynamic’, client-driven while supporting national knowledge agendas. From ADB’s perspective, knowledge is an investment and an asset, and it is important to ensure that its DMCs are getting the most return from this capital.

In an increasingly interconnected world, there is a need to prepare students to become more knowledgeable of different cultures and global matters. Furthermore, in a time which is characterized by disinformation, information literacy becomes more important than ever before. By taking into account transnational perspectives in learning these topics, e-learning provides us with the opportunity to connect students who otherwise would not have the chance to meet and get into knowledge related discourse with each other. In this context, the project „Intercultural perspectives on Information Literacy“ (IPIL) aims to realize a transnational learning community in which students from different countries engage in knowledge building discourse to foster intercultural learning and information literacy. The first IPIL course was conducted in winter term 2019/2020. Since then multiple transnational courses and workshops have been carried out. The last course took place in the winter semester 2021/2022. The didactical structure of IPIL follows a constructivist socio-cultural approach of knowledge building and knowledge creation in which learners from different higher education institutions with diverse cultural backgrounds engage in learning related discourse on topics related to information literacy. To enable such learning, the learning environment is structured into three levels (community, learning cycles, group learning task) …

In an increasingly interconnected world, there is a need to prepare students to become more knowledgeable of different cultures and global matters. Furthermore, in a time which is characterized by disinformation, information literacy becomes more important than ever before. By taking into account transnational perspectives in learning these topics, e-learning provides us with the opportunity to connect students who otherwise would not have the chance to meet and get into knowledge related discourse with each other. In this context, the project „Intercultural perspectives on Information Literacy“ (IPIL) aims to realize a transnational learning community in which students from different countries engage in knowledge building discourse to foster intercultural learning and information literacy. The first IPIL course was conducted in winter term 2019/2020. Since then multiple transnational courses and workshops have been carried out. The last course took place in the winter semester 2021/2022. The didactical structure of IPIL follows a constructivist socio-cultural approach of knowledge building and knowledge creation in which learners from different higher education institutions with diverse cultural backgrounds engage in learning related discourse on topics related to information literacy. To enable such learning, the learning environment is structured into three levels (community, learning cycles, group learning task) …