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.

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.

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 pilot study extends nursing’s historical efforts to prevent medication errors by using a database research approach to better understand why medication errors persist in acute care settings. The pilot study was conducted 3 units and float pool nurses. Data were analyzed using descriptive statistics and multilevel regression modeling.

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.

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 …

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 health despairities and how ethnicity is remarkably correlated to one’s health.

Knowledge is the central component of knowledge management (KM); it comes into existence, is managed, and has effects through the activities performed upon it and the results of those activities. Much of the foundational KM literature identifies and classifies these activities (Baskerville, Dulipovici, 2006; Becerra-Fernandez, 2005; Evans, Ali, 2013; Evans, Dalkir, Bidian, 2014; Girard, Girard, 2015; Pee, Kankanhalli, 2009; Mohajan, 2016; Sajeva, 2010). We propose an extension of these activity classifications.

While explicit knowledge can be to some extent separated from human brain and stored in organizational memory, tacit knowledge cannot be detached from the individuals who possess it, therefore its management cannot rely primarily on technologies. This calls for knowledge-worker centered approach. Individuals with different cognitive styles process information differently and use a variety of reasoning patterns for decision making and building their personal knowledge bases. The paper overviews the potential applications of the construct of cognitive style to managerial practice in knowledge intensive organizations. It also presents a model that can help visualize the relationships between different cognitive styles and knowledge management processes. The model also demonstrates how such cognitive dimensions manifest themselves at different stages of KM cycle.

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 …

The new coronavirus COVID-19 pandemic forced the population to adapt routines, create new habits and adapt to the new reality. A significant change resulting from social isolation was the way that consumers began to seek the provision of services and purchase of products. What was previously done predominantly in physical stores, started to be carried out by digital channels, according to the customers' preference. Because it provides essential services, Companhia Águas de Joinville (CAJ) also needed to adapt, creating conditions for digital service for 100% of customer demands. However, the simple availability does not mean immediate adhesion by the population, as customers have their preferences. This article intends to demonstrate how the migration of face-to-face service to other channels in Basic Sanitation behaved in Joinville and what the consumer preferred during the quarantine.

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.

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 …

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.

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 presentation provides an overview of the host institution, The Information Sciences Department, University of Applied Sciences Potsdam, Germany.

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.

This case study was built from a semi-structured interview with the Innovation manager and a UX Designer at that institution. It was possible to verify from the analysis of the interview that the company is able to apply only part of the Customer Development process in its new product innovation process.

The Customer Development process, widely used by startups, is designed with the aim that, at the end of a process of development of an innovation, the customer can see the maximum value in the product. But there are few studies on the application of this methodology in mature companies. The aim of this study was to assess whether it is indeed possible to apply the Customer Development process in a mature firm. This case study was built from a semi-structured interview with the Innovation manager and a UX Designer at that institution. It was possible to verify from the analysis of the interview that the company is able to apply only part of the Customer Development process in its new product innovation process. This paper is a case study and applied research, so it is not possible to make generalizations. In addition, this article considered interviews with only two individuals from the company, which may have limited results.

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 …

The ever-increasing market turbulence has turned today’s corporate landscape more competitive and complex. Particularly during the last two decades, the increased utilization of ICT systems and technologies globally transformed the services sector in terms of ease of business processes and improved client service delivery. However, in the current knowledge-based era, ICT-enabled systems and tools would only be meaningful if these are appropriately utilized by the knowledgeable and skilled workforce. However, leveraging these necessitates a knowledge-enabled work culture and recognizing that people are crucial to building a robust Intellectual Capital (IC) that is central to achieving long-term market competitiveness. IC comprising of intangible assets and knowledge resources is central to value creation for the firm as evident from the growth of the knowledge-based industries. Nevertheless, the true potential of IC for deriving value advantage for diverse organizational stakeholders has not been fully utilized. Hence, by conducting 12 face2face interviews with the senior executives within Australian Professional Service Firms (PSFs), this study offers renewed approach to IC valuation by introducing ‘Triple Value Bottom-line’ perspective in PSFs. The results highlight that the IC offers enormous potential towards deriving broader value outcomes for multiple organizational stakeholders.