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 current study investigated the influence of information technology support on knowledge management process of nurses in patient care. Recent concerns about the issue of nursing care delivery have accentuated the need for more improved health services. The importance of knowledge management in improving performance has been strongly highlighted in existing literature. Paucity of studies exist in information technology-based knowledge management of nurses in Nigeria. A quantitative approach comprising of a descriptive survey design was used. Proportionate stratified sampling was used to select registered nurses from the teaching hospitals under study. Only registered nurses on duty were included in the study and sample size consisted of 320 registered nurses. SPSS version 22 and AMOS was used analyze the collected data. The structural models were developed to test the hypothesized relationships. The researchers adhered to the principles of trustworthiness and ethical principles. The results affirmed that information technology support influences knowledge management process in nursing care roles. Based on the findings, information technology is required to promote knowledge management process coupled with appropriate coordination to develop a knowledge-friendly environment for nurses. In view of the emergence of the knowledge-based society and increased demands for quality healthcare by patients, the usage of …

Cyber addiction refers to the excessive use of internet and cyber application leading to adverse outcomes such as stress, distractions, reduced motivation levels, and challenges in task orientation. Uncontrolled consumption of the internet leads to information overload that impact productivity and workplace performance (Griffiths, 2010). In such cases, the ubiquitous availability of information can lead to IT-related stress where users derive a reduced sense of satisfaction (Diomidous et al. 2016). People who frequently access the internet can experience various issues, which encompass anxiety, depression, and self-image challenges. Physically, affected individuals experience disrupted sleep patterns, irritability and high levels of fatigue. Social networking sites increase the risk of addiction and online dependency, aspects associated with low levels of productivity (Hoq, 2014). As illustrated in fig 1, the paper hypothesizes that there is a direct relationship between information overload and workplace performance and job satisfaction. The assumption is that cyber addiction worsens the problem of information overload, which in return, impacts information behavior and use and workplace/job performance (Riaz & Qureshi, 2019). The study addresses the following research questions: What is the impact of cyber addiction on workplace performance? What are the relationships between cyber addiction, information workload and information behavior and …

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.

The goal of this study is to explore how information is currently organized in digital cultural heritage collections in Arabian Gulf countries. it focused on Alqabas – a Kuwaiti institution with a strong reputation of early adopter of digital archiving and developer of major digital collections in Arab Gulf counties, accumulated experience in knowledge management. The mixed-methods study combined semi-structured interview of the Alqabas archive manager and in-depth content analysis of a sample of metadata records that represent items in Alqabas digital collections for accuracy, completeness, consistency, use of knowledge organization systems. The study reveals high metadata quality overall but lack of consistency for many metadata fields, explained in part by the absence of metadata creation guidelines and professional training for metadata creators. This indicates potential barriers to metadata interoperability in an aggregated environment for future projects similar to DPLA or Europeana.

Wisdom is defined as “a uniquely human quality demonstrated through an ability to apply self-insight, experience, and sound judgment in conjunction with applicable data, information, and knowledge to create a course of action leading to beneficial and productive decisions for both individuals and society” (Allen et al., 2020, p. 159). Using this definition as a foundation, this research explores how veterans use wisdom to enhance the workforce through perspective, experience, and resilience.

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.

Disinformation and misinformation are pervasive in unregulated social-media environments, which are used habitually for obtaining news. Fenn et al in 2019 stated that “Given that people tend to share interesting information to maintain social relationships or to manage their impressions, information that receives more likes may subsequently be shared more often” (Fenn, Ramsay, Kantner, Pezdek, & Abed, 2019, p.133) Recent studies also revealed that misinformation from politicians and celebrities has increased in recent years which lead to more engagement on Twitter (Brennen, et al. 2020 ). There has been a lot of misinformation pertaining to COVID-19 masks on Twitter. Due to the misinformation, many people might not believe in the effectiveness of masks. Even though studies have shown the effectiveness of wearing masks in different countries (Lyu and Wehby, 2020). Not wearing masks affects people's health and indirectly increases the spread of COVID-19. Studies of social noise and misinformation cases on social media are needed, specifically focusing on how social noise influences and contributes to the spread of misleading and possibly harmful messages.

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.

It is understood that Social Innovation (SI) is at the service of society, building a positive social value. Collaborative governance favors the government, with characteristics for a better form of applicability of its theories. Therefore, this article aims to identify how collaborative governance and social innovation collaborate for better governance in the public sector.

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.

This paper will report on a research to develop Speaker Independent, Continuous Speech Recognizer for Kafi Noonoo (Afro-Asiatic language that belongs to North Omotic sub family in Ethiopia) using Hidden Markov Modeling technique. The portable and open source toolkit called Hidden Markov Model (HMM) Toolkit is used to perform the experiment. The development of HMM based Automatic Speech Recognition (ASR) requires both text and speech corpus for training and testing the HMM. In order to have a model that incorporates different features of the language, we included the different dialects of Kafi Noonoo in the corpus and then prepared the training and test corpus from the scratch, and after preprocessing we have sampled and performed feature extraction using Mel Frequency Cepstral Coefficients (MFCC) feature extraction technique.

Arising in China in December 2019, the novel coronavirus (COVID-19) soon spread to other countries worldwide including Bangladesh. Mass media and social media platforms played an important role in providing Coronavirus related information and news as they enable people to share news as well as personal experiences with one another rapidly. Since little is known about COVID-19, various fake news spread across social media that panicked people into making panic decisions. The primary objective of this study is to examine how social media is spreading fake or unauthentic news during the time of COVID-19 pandemic. This study also focuses on how the university students of Bangladesh are playing their roles in the spread of fake news in social media. An online survey was conducted to reach a wide number of university students who own at least one social media account. A well-structured questionnaire was designed containing both open and close ended questions. Google forms was used to build the survey instrument. The questionnaire was distributed to the students using different social media platforms. Collected data were analyzed using SPSS version 20 and MS Excel. The study showed that the students sometimes received COVID-19 related fake news. The main reason behind …

The digital age comes with transformational activities (also referred to as digital transformation) triggered by emerging fields and technologies, such as data science and analytics, cybersecurity, cloud computing, blockchain, cryptocurrency, and nanotechnology; helping organizations stay current and competitive. This paper focuses on agile frameworks that support the delivery of data science/analytics projects to ensure organizations rapidly deliver analytics products and services to their customers.

Organizations struggle to harness tacit knowledge – the knowledge that resides in the heads of knowledge workers, whereas there are always opportunities to capture knowledge during project management activities. Using a literature review, this paper analyzes how knowledge can be captured during different project management phases. It attempts to bridge frequently ignored areas of project management, knowledge management, and analytics.

Twitter is one of the major social media platforms highlighting public opinion. With over 330 million users across the globe, Twitter provides insights into global sentiments on many topics. One can estimate global sentiments towards certain events relating to COVID-19 by analyzing the most common phrases and their related sentiment scores from Twitter API data. This project has compiled the most used trigrams in tweets relating to COVID-19 to calculate sentiment scores for the period from March 22 to August 7, 2020. Another goal of the project is to optimize data collection from Twitter API. Twitter limits access to tweet contents to 900 requests per 15 minutes for unpaid API users. For student data scientists, paying for increased API usage is financially infeasible. So, to deal with the rate limit, the project has written functions using the Tweepy python library to collect Twitter API data. The Pandas library has also been used to sample 139000 tweets from over 300 million. The IEEE Dataset provided sentiment scores for the full population. So, to check the integrity of my sample, I performed a Pearson correlation test between the full dataset and sample data, and got 0.84, showing the sample is representative of …

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.

Identifying support from Knowledge Management (KM) frameworks and Risk Management to build collective intelligence for handling systemic crises, triggered by the Corona virus disease 2019 (Covid-19)

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.

The research seeks to know if the COVID-19 pandemic has created culture change by measuring the criteria of work outputs and actions of organization members. As a part of this research, a survey was developed to identify how and to what extent workplace culture has been impacted. 111 professional services staff from a North Texas business were surveyed. We identified three factors for criteria of work outputs and behavior that indicates the current level of change of the culture. The three factors are identified as, Expectations (α= 0.786), Accuracy (α= 0.603), and Timeliness (α= 0.552). Factor analysis and descriptive statistics are used to analyze the result from the survey.

This paper aims to compile organizational innovation management indicators of papers that included some empirical step in the research and were published in the last 5 years (2015-2019). Based on PRISMA protocol, a systematic review was conducted and 356 indicators were extracted. They were categorized in 11 dimensions, following Dziallas & Blind (2019) previous literature research. The results make it possible to update the studies of innovation indicators at the organizational-level, filling an existing time gap in the research field. As for future research, we recommend the unification of similar indicators, the establishment of objective criteria for indicators categorization, and the development of an innovation indicator framework containing relevant indicators based on scholars’ and practitioners’ opinions, their description and measurement/evaluation methods.

The purpose of this research is to explore concept maps as a viable and effective knowledge management tool for cybersecurity education. Concept maps serve as a visual representation of knowledge. They are commonly utilized to support the teaching and learning process or as a student learning evaluation tool. While the focus of education research is on tools specific to cybersecurity such as learning management systems and cyber ranges, there is little dedicated to understanding how concept maps can be applied as an effective element within the security education. This paper reviews relevant research related to the applications of concept maps in diverse knowledge domains. The aim is to leverage previous research applications to garner support for concept maps as a useful knowledge management tool in cybersecurity. This is accomplished by highlighting successful applications of concept maps in related fields. Concept maps are poised to be extremely helpful with complex subjects such as information and cyber security where understanding the subject depends on the application of disparate but interrelated concepts.