With an increasing flood of data and at the same time changing requirements, making the relevant information available in the right context to a customer and within the company for the respective development-, technical- and service-departments is a key success factor for many companies and at the same time an enormous challenge. The problem with folders and filing data in tree structures is that information about an object is scattered across different aspects. Access to this information is only possible if the respective aspects are known. In a semantic network, each object exists only once, all information about this object comes together at this point and it can still be accessed within different contexts. Such a network can be changed at any time and further aspects can be added as needed: semantic machine learning, in order to be able to react flexibly to new requirements. Semantic networks combine functions of ontologies, topic maps, taxonomies and thesauri. They model complex relationships and directly transform large amounts of structured and unstructured content into networked units of knowledge. In this way, computer-readable and computer-usable knowledge bases are created. The creation and maintenance of semantic networks is demand-driven and interactive between humans and computers. …

With an increasing flood of data and at the same time changing requirements, making the relevant information available in the right context to a customer and within the company for the respective development-, technical- and service-departments is a key success factor for many companies and at the same time an enormous challenge. The problem with folders and filing data in tree structures is that information about an object is scattered across different aspects. Access to this information is only possible if the respective aspects are known. In a semantic network, each object exists only once, all information about this object comes together at this point and it can still be accessed within different contexts. Such a network can be changed at any time and further aspects can be added as needed: semantic machine learning, in order to be able to react flexibly to new requirements. Semantic networks combine functions of ontologies, topic maps, taxonomies and thesauri. They model complex relationships and directly transform large amounts of structured and unstructured content into networked units of knowledge. In this way, computer-readable and computer-usable knowledge bases are created. The creation and maintenance of semantic networks is demand-driven and interactive between humans and computers. …

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 that provide an overview of the different methodologies and theories of sense-making from several of the seminal originators of sensemaking.

Global warming is the term used to describe critical environmental issues and concerns. Social media such as Twitter provides a platform for people to share information, exchange ideas, and express their opinions about current and timely issues. This study utilized contextual analysis to analyze data collected from Twitter for the hashtag "global warming" during the period 2010 & 2011. Using sentiment analysis and topic modeling, the study aimed first at assessing people's perception towards global warming issues, and second study the impact of misinformation from the standpoint of social noise on people's perception of global warming during critical environmental events. The outcome of this study helps create a better understanding of the environmental issues discussed on social media. The sentiment analysis from the data analyzed so far shows that most of the tweets were based on Twitter users' personal opinions and not science. The topic modeling results suggest that Twitter users typically tweeted when a major environmental event occurred due to global warming. Topic modeling also aids in the identification of terms that is associated with social noise. The presence of social noise suggests that misinformation does exist and spreads faster.

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.

Building predictive models for companies often relies on inference using historical data of companies in the same industry sector. However, companies are similar across a variety of dimensions that should be leveraged in relevant prediction problems. This is particularly true for large, complex organizations which may not be well defined by a single industry and have no clear peers. To enable prediction using company information across a variety of dimensions, we create an embedding of company stocks, Stock2Vec, which can be easily added to any prediction model that applies to companies with associated stock prices. We describe the process of creating this rich vector representation from stock price fluctuations and characterize what the dimensions represent. We then conduct comprehensive experiments to evaluate this embedding in applied machine learning problems in various business contexts. Our experiment results demonstrate that the four features in the Stock2Vec embedding can readily augment existing cross-company models and enhance cross-company predictions.

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.

How can Knowledge and Information management professionals contribute to co-creating sustainable climate resilience in society? What are the sustainable climate-resilient futures we want to see take place in a global, interdependent world, and what is the Knowledge and Information management professionals’ role in making these scenarios happen? K&I Management professionals have essential roles to play in addressing the crises, risks, and urgency that our environment is facing. Their work as teachers, researchers, and experts in processing data and knowledge are crucial to how our world will develop in the incoming decades. In this interactive workshop called knowledge Huddle – developed by GRASP Network – participants are stimulated in a creative way with the use of art to reflect on the above-mentioned questions. Art helps us to imagine alternative futures, and new scenarios, but not only. It also connects to our feelings and emotions and speeds up creative processes. With this creative approach, the workshop tries to grasp what actions are needed. From individual behavior to organizational, national, and international climate actions, all levels are interwoven and interdependent. In this scene starting from the personal/individual is essential. What can each of us individually do but also how can we collectively make …

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 Dave Snowden is the founder of one of the five schools of sense-making, and takes an approach which draws heavily on natural science, in particular complex adaptive systems theory, cognitive neuroscience and the biological end of anthropology. He is the creator of the Cynefin framework and lead author of the recently published EU Field Guide to managing complexity.

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.

Considerable research has been conducted on the topic of information overload using different approaches, from marketing and customer demand to information technologies and sciences, and even among mental health professionals. In business the critical question is how does information overload impact processes, operations, and profitability, and how can data visualization help to solve issues with data management and consumption in organizations. The ability to quickly and effectively process information and make decisions equates to organizational survival in a dynamic, knowledge-based economy where all segments of society are heavily affected by information technologies and systems and data management industries. The growing number of systems apparatuses challenges both individuals and organizations, resulting in reports of fatigue and experiences that compromise successful performance. The objective of this literature review is to discuss how data visualization tools help address information overload and optimize decision making and the business intelligence process in organizations. It concludes that data visualization, indeed, is critical in helping individuals capture, manage, organize, visualize, and present understandable data, but that decision making is affected by cognitive factors that interfere with data processing and interpretation in decision makers.

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.

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.