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 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 focuses on real world digital projects and scenarios.

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 demonstrates the GuruScan in a practical interactive session. The presenter setup an online GuruScan Knowledge Booster, so audience can experience the power and speed of Expert created knowledge connections themselves.

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 …

Business competition increasingly involves entire supply chains (SCs) rather than individual firms. Thus, knowledge, which is a strategic resource for companies, needs to be managed properly not only in single firms, but also at inter-firm level and in SCs, so that companies can coordinate and co-manage resources, activities, and innovative efforts in collaboration with their partners for improved competitiveness. To this end, knowledge management (KM) practices and their adoption for the effective management of SC inter-firm relationships can be of great help, but the current studies on this aspect are very fragmented, and there is still insufficient knowledge of what practices are adopted to manage knowledge in inter-firm relationships and how intensely these are used. This study contributes to filling this gap by measuring the adoption and intensity of KM practices and comparing their use at the intra- and inter-firm level. A survey of a sample of European large and medium-sized manufacturing firms was used. A descriptive statistical analysis and a correlation analysis were performed on the collected data. The study confirms that KM practices are less used at the inter-firm level. Also, a relative higher variation is depicted among firms in the use of the proposed practices at inter-firm …

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 explores selected aspects of knowledge transformation. The research uses as reference and as the basis for methodological framework: “A Library is a Growing Organism” (Ranganathan’s 5th Law) within the context of library brands on collection behaviors.

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.

Developing, implementing, and managing metadata is crucial to successful knowledge management, and academic libraries have traditionally played a central role in these activities. The Arabian Gulf countries are underrepresented in the existing research into library metadata practices. This exploratory study used semi-structured interviews of metadata managers at 8 universities with the goal of developing understanding of the current state of metadata practices, including descriptive cataloging, identity management, and knowledge organization in academic libraries of three Arabian Gulf countries (Kuwait, Oman, and Qatar), as well as potential future developments to facilitate discovery of resources. Findings provide insights into this previously under-researched area and contribute to understanding of knowledge management and risks on a global scale.

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.

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.

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.

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 …

The 17th International Conference on Knowledge Management was held in the historic city of Potsdam, Germany. The conference was among the first post-pandemic face to face conferences, and 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.

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.

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.

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 …