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 …

Precision medicine is an emerging approach for disease treatment and prevention that considers individual variability in genes, environment, and lifestyle for each person. Big data analytics (BDA) using cutting-edge technologies helps to design models that can diagnose, treat and predict diseases. In Ethiopia, healthcare service delivery faces many challenges specifically in relation to prescribing the right medicine to the right patient at the right time. Thus, patients face challenges ranging from staying on treatment plans longer, and then leaving treatment, and finally dying of complications. Therefore, the aim of this paper is to explore the trends, challenges, and opportunities of applying BDA in precision medicine globally and take lessons for Ethiopia through a systematic literature review of 19 peer reviewed articles from five databases. The findings indicated that cancer in general, epilepsy, and systemic diseases altogether are areas currently getting big attention. The challenges are attributed to the nature of health data, failure in collaboration for data sharing, ethical and legal issues, interoperability of systems, poor knowledge skills and culture, and poor infrastructure. Development of modern technologies, experimental technologies and methods, cloud computing, Internet of Things, social networks and Ethiopia’s government initiative to promote private technological firms could be an …

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.

The Bosch Group is a leading global supplier of technology and services. It employs roughly 402,600 associates worldwide (as of December 31, 2021). The company generated sales of 78.7 billion euros in 2021. Its operations are divided into four business sectors: Mobility Solutions, Industrial Technology, Consumer Goods, and Energy and Building Technology. At 128 locations across the globe, Bosch employs some 76,100 associates in research and development, of which more than 38,000 are software engineers. Juergen Ebmeyer joined Bosch in 2005 and is the Corporate Process Owner of the Bosch Experts Organization. He managed change projects to create divisional Centers of Competence and coordinates the Bosch-wide Centers of Competence. Lothar Maier works for Bosch since 2005 and is the IT Infrastructure Application Owner of the Bosch Experts Organization. He additionally supports the Bosch organization with further KM tools and methods as e.g. Expert Debriefing moderation.

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.

Ed Rogers served as Chief Knowledge Officer with NASA Goddard Space Flight Center from 2003 to 2020. He holds a PhD in HRM from Cornell University and teaches a different universities like University of Alabama, George Washington University and Indian School of Business. Since 2020 he is the principal owner of Mayjer Enterprises (Palmyra, Virginia).

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.

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)

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.

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.

Text summary has become a vital and more popular domain to preserve and highlight the core purpose of textual information as the amount of online information and resource texts has grown. Text summarization is the task of extracting key information from a text document. Text summarizing research in Afaan Oromoo is still rare and hasn't been thoroughly assessed. This study's primary goal was to evaluate the performance and method of extractive models on automatic extractive text summarization for Afaan Oromoo. Automatic Text summarization approaches can be classified as extractive or abstractive. Automatic abstractive text summarization was not included in this study. Existing automatic extractive text summarizing algorithms take key sentences from the source manuscript and provide a summary without changing the data. This paper examined and assessed some studies on the Afaan Oromoo Language Text Summarization system with a focus on methods and performance. In addition, the automatic extractive text summarization domain's challenges in Afaan Oromoo’s were also discussed. This paper used a systematic literature review method to examine the most recent literature in automatic extractive text summarization as it relates to the Afaan Oromoo language. We used a search engine, Google Scholar, ResearchGate, CiteseerX, peer-reviewed papers, and Academia to …

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.

Juliane Dieckmann, Head of Knowledge Management in the Otto Group Holding, is responsible in the Digital & Consulting division for the group-wide transfer of knowledge and the development of KM products specifically aimed at collaboration in organisational units. She focuses with continuing enthusiasm on the task of making Knowledge Management in the Otto Group fit for the path to digital transformation and putting people at the centre of this. The Otto Group is a globally active trading and services group with around 52,000 employees and a turnover of 15.6 billion euros. With 30 major corporate groups it is present in more than 30 countries. Global group activities and strategic partnerships provide the Otto Group with excellent conditions for know-how transfer and the use of synergy potential. Every day, in the course of its business activities, it deals with the core issues of a modern society, including the future of work, value-oriented action, and the opportunities and challenges of the present.

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 is the final program for the 2017 International Conference on Knowledge Management.

Trauma, and its associated effects, can be conceptualized as a period of information uncertainty. The natural psychological response to trauma is a period of post-traumatic stress. Trauma occurs when an existing knowledge base has been challenged. Any event that challenges important components of an individual’s assumptive world is said to be traumatic. This post-traumatic period is akin to many theories and concepts in information science including uncertainty reduction, Everyday Life Information Seeking, Sensemaking Theory, Making Meaning and Anomalous States of Knowledge. One possible outcome after the post- traumatic period is post-traumatic growth. Researchers agree post-traumatic growth primarily occurs across one or more of the following domains: personal strength, new possibilities, relating to others, appreciation of life and spiritual change. That is, people affected by trauma tend to grow when they find new or additional paths of information certainty.

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 …

Engineering offices are knowledge companies. Systematically maintaining and developing the existing knowledge in and as a company is therefore an essential task of corporate management. Knowledge management at ZM-I includes a training system (ZM-I Campus), a digital knowledge database (intranet) and workshops. For a systematic analysis and evaluation of the company's intellectual capital, a bi-annual certified intellectual capital report is carried out. For this purpose, employees from all divisions and locations come together to systematically analyse and evaluate the intellectual capital in the company. The intellectual capital statement is thus a fundamental management tool at ZM-I. ZM-I is an independent, medium-sized civil engineering company organised as a partnership for demanding projects. Based in Munich, the group has grown continuously and is now active throughout Germany. As a structural engineering company with a focus on statics, ZM-I offers consulting, planning, testing and assessment services in the field of civil engineering.

Understanding trends is helpful to identify future behaviors in the field, and the roles of people, places, and institutions in setting those trends. Although traditional clustering strategies can group articles into topics, these techniques do not focus on topics over limited timescales; additionally, even when articles are grouped, the generated results are extensive and difficult to navigate. To address these concerns, we create an interactive dashboard that helps an expert in the field to better understand and quantify trends in their area of research. Trend detection is performed using the time-biased document clustering introduced in Behpour et al. (2021) study. The developed and freely available web application enables users to detect well defined trending topics in financial journals by experimenting with various levels of temporal bias - from detecting short-timescale trends to allowing those trends to spread over longer times. Experts can readily drill down into the identified topics to understand their meaning through keywords, example articles, and time range. Overall, the interactive dashboard will allow experts in the field to sift through the vast literature to identify the concepts, people, places, and institutions most critical to the field.

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) …

This presentation deals with motivational ideas and initiatives for knowledge sharing in the field of tax and legal consulting. Sharing knowledge at all levels and in all formats is often difficult or even impossible due to the need to respect confidentiality and data protection laws. However, the example of PwC Switzerland shows how it is still possible to be a knowledge organization, to create a lively and popular exchange between employees and not to reinvent the wheel every day. We will also shed light on what a well-positioned knowledge management can enable in a crisis situation and how it has moved from behind the scenes to the stage. PwC Switzerland is the leading audit and advisory company in Switzerland. We’re a network of firms in 156 countries with over 295,000 people who are committed to delivering quality in assurance, advisory and tax services. PwC Switzerland has over 3,380 employees and partners in 14 locations in Switzerland and one in the Principality of Liechtenstein.

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.

In 2018, voestalpine High Performance Metals decided to significantly invest in Knowledge Management to foster their strategy to expand into new markets. After conducting a thorough global feasibility study involving different stakeholders at multiple locations, a hybrid KM strategy was proposed creating networks of experts and identifying valuable content for re-use supported by a KM Service Portfolio. Members of pilot “communities of Practice” (CoP) were involved in the co-design of KM Services and testing of IT platforms. Once the global IT platform was established, the global roll-out of the CoP’s started. Simultaneously, a global governance structure was designed and implemented as well as a 3-tier measurement approach conceptualized and tested. Today, CoP’s focusing on different topics, are conducting dozens of meetings every month and have identified about a thousand documents to be accessed via their electronic “home base” on Sharepoint. A training program to raise awareness and enable understanding of KM has been initiated on a global scale. The implementation of the KM board brought an important boost in participation and professionalism. To further foster and sustain the world-wide participation in the knowledge-network is the challenge we are facing until knowledge management has become an integral undisputed part of the …