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.

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.

The 17th International Conference on Knowledge Management was held in the historic city of Potsdam, Germany. Since the conference was among the first post-pandemic face to face conferences, the overall theme of the 17th edition of the ICKM conference rightly focused on “Knowledge, Uncertainty and Risks: From individual to global scale” at different levels of analysis and agency. This document highlighted one of the panels and the panelists argue that open access to scholarly knowledge production should be the modus operandi in the time and age we live in. Open access to knowledge is critical not just to accelerate advances in finding solutions to societal issues, but also to meet the growing expectations around higher education institutions’ social responsibilities in times of uncertainties.

This workshop is presented by members of a University of North Texas research team. First, the team will overview their experience as members of the research team and share experience in areas such as trust formation, team roles, productivity, work-life balance, faculty-students interaction, peer and faculty mentorship, dissertation preparation, and job seeking. Second, the workshop will discuss and brainstorm how this format can be implemented for organizations both with faculty-student teams and with peer-directed teams. Finally, successes and challenges are openly discussed with audience.

New standards (ISO 30401 and DIN SPEC 91443) provide new momentum for knowledge management initiatives. Certification becomes a priority to demonstrate KM-proficiency on an organizational level to external partners (customers, suppliers, future employees) as well as to create a sense of urgency within organizations, in particular among organizational leadership. In this workshop, a joint working group of two independent communities and a research organisation, the Association of Knowledge Management for German speaking countries and the Federal Association of Intellectual Capital Statements e.V. presents the framework of DIN SPEC 91443 which was designed specifically for SMEs to operationalize the KM requirements of ISO 30401. The general objective of the workshop is to reflect on suitability of various instruments of KM, in particular the Intellectual Capital Statement – Made in Germany, to deliver on the standards requirements. Looking at some practical cases, an early-stage concept of auditing structures and procedures will be discussed. As a result of the workshop, the organizers aim to propose an auditing framework to certify knowledge management systems as a follow up.

The 17th International Conference on Knowledge Management was held in the historic city of Potsdam, Germany. Since the conference was among the first post-pandemic face to face conferences, the overall theme of the 17th edition of the ICKM conference rightly focused on “Knowledge, Uncertainty and Risks: From individual to global scale” at different levels of analysis and agency. This poster highlights the qualitative study which was conducted in a major regional hospital in Germany, using the FRAM to analyze the recurrent and complex process of surgical care preparation in the morning. The aim was to offer the hospital a detailed qualitative analysis to promote resilience and maintain a safe state of operating during this process. The FRAM illustrated relevant system functions and unveiled sources as well as effects or variabilities that are now in the process of being evaluated according to appropriate goals and values. In this way, the FRAM illuminates hidden but relevant knowledge, so to speak tacit knowledge, within a complex sociotechnical system that is difficult or impossible to identify otherwise.

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.

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.

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 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.

The 17th International Conference on Knowledge Management was held in the historic city of Potsdam, Germany. Since the conference was among the first post-pandemic face to face conferences, the overall theme of the 17th edition of the ICKM conference rightly focused on “Knowledge, Uncertainty and Risks: From individual to global scale” at different levels of analysis and agency. This document highlighted one of the posters that presents the disruption in scholarly communications. Among other discussions, the poster analyzes the disruptions that can be mapped and identified in scholarly communication.

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 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.

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 …

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.

The 17th International Conference on Knowledge Management was held in the historic city of Potsdam, Germany. Since the conference was among the first post-pandemic face to face conferences, the overall theme of the 17th edition of the ICKM conference rightly focused on “Knowledge, Uncertainty and Risks: From individual to global scale” at different levels of analysis and agency. This document highlighted one of the keynote speeches by Susanne Durst, a Full Professor of Entrepreneurship at Tallinn University of Technology, Estonia, and Full Professor of Business Administration at the University of Skovde, Sweden. She holds a doctorate in Economics from Paris-Sud University, France. Her research interests include small business management, knowledge (risk) management, responsible digitalization and sustainable business development.

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.

Evaluating the impact of learning from climate data, in addition to bridge data, on the performance of concrete deck condition rating prediction is critical for identifying the right data needed to enhance bridge maintenance decision making. Few studies have considered such an evaluation and utilized a small size of samples that prevent revealing the knowledge hidden within the big size of data. Although, such evaluation over big data seems quite necessary, class imbalance problem makes it challenging. To alleviate such a problem, five states, including Alabama, Iowa, New York, Pennsylvania, and South Carolina, were selected as the case study. Not only are the states located in three different climatically consistent regions defined by the National Ocean and Atmospheric Administration (NOAA), but also their concrete deck conditions ratings are somewhat balanced. To conduct the evaluation, this research developed the bridge data set pertaining to 56,288 bridges across the afore-mentioned states through employing the GIS technology. The bridge data set contains bridge data derived from National Bridge Inventory (NBI), and climate data derived from Parameter-elevation Relationships on Independent Slopes Model (PRISM) climate maps and NOAA. Then, two machine learning algorithms, including random forest and GBM, were trained - with and without climate …

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 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 …

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 …

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) …