Taking a Knowledge Perspective on Needs: Presenting Two Case Studies Within an Educational Environment in Austria pp114‑126
Abstract: Needs that are shared by members of an organization can trigger an organizational learning process. To a large extent, needs are implicitly anchored in organizations and people can hardly articulate them. In this article, we present Bewextra, a method that allows for identifying hidden needs in organizations. Thereby, we trigger a knowledge conversion process, which is similar to Nonakas SECI‑spiral. In two case studies, we present how our Bewextra‑process is applied to projects in educational contexts in Austria. In a first case study, we show that a combination of learning from past and future experiences extend the scope of the overall outcome. Since learning from future experiences requires a distinct environment (enabling spaces), we pre sent a second case study. Here, we conducted a Bewextra‑process with a large number of participants (n > 170), focusing on learning from future experiences.
Mining Knowledge of the Patient Record: The Bayesian Classification to Predict and Detect Anomalies in Breast Cancer pp127‑138
Abstract: knowledge management, data mining, and text mining techniques have been adopted in various successful biomedical applications in recent years. Data Mining (DM) is the most important subfields in knowledge management (KM). It has been proven that data mining can enhance the KM process with better knowledge. In this paper, we investigate the application of DM techniques for mining knowledge of the patient record. The patient record represents documents of the patients examinations and treatments. Data Mining is the process of mining or extracting information from a data set and transform it into an understandable structure for further use. We propose a methodology for mining medical knowledge based on the Bayesian Classification to predict and detect anomalies in breast cancer. We use the Naïve Bayes Algorithm to develop this methodology. We illustrate the knowledge mining process by real examples of medical field. We investigate through these illustrations how knowledge is better mined and thus, reused when applying concepts and techniques of Data Mining. On the other hand, we investigate the potential contribution of the Naive Bayesian Classification methodology as a reliable support in computer‑aided diagnosis of such events, using the well‑known Wisconsin Prognostic Breast Cancer dataset. Finally, we will demonstrate the suitability and ability of the Naive Bayes methodology in Classification/Prediction problems in breast cancer.
Keywords: Keywords: Patient Record, Data Mining, Bayesian Classification, Naïve Bayes Algorithm, Breast cancer prediction
Abstract: Knowledge management (KM) has gained popularity in recent times because knowledge is regarded as a vital resource in todays economy. The popularity of KM has led to the creation of the KM field. Organisations have adopted KM because of its as sociation with competitive advantage. Over the years, theories, models and frameworks have been developed to inform KM research and practice. KM lifecycle frameworks seem to dominate the KM literature. Too many of them have been created over the years, th us causing confusion about which one to choose for research and practice. The study analyses 20 prominent KM lifecycle frameworks, and proposes a unified framework. The unified framework aims to eliminate the confusion created by having too many framework s with many different processes. Quantitative and qualitative content analysis was used to analyse the 20 frameworks. Processes appearing in all frameworks were listed and counted to determine the most prominent. After eliminating synonyms used to describ e the processes, qualitative content analysis was used to group them into themes. Five prominent KM processes were discovered: knowledge transfer, storage, application, creation, and acquisition (K‑TSACA). The conclusion of the study is that organisatio ns and researchers seem to focus mostly on five KM processes, hence their popularity/dominance over others.
Keywords: Keywords: knowledge management, knowledge management frameworks, knowledge management strategies, knowledge management lifecycle, unified framework, knowledge management lifecycle framework
Antecedents of Successful Collaboration in Community of Practice between Academia and Industry: A Case Study pp153‑164
Abstract: This article examines the potential of a community of practice (CoP) to generate the dynamic capability of organisations in an academia industry collaboration. This empirical qualitative case study was carried out within the Northern Research and Innovation Platform (NRIP), a university‑led CoP with the aim of intensifying academia industry collaboration in the field of environment, energy and natural resources. This article offers a conceptual framework which could be applied in order to un derstand the antecedents needed for successful academia industry collaboration to use community as an engine for the knowledge development and dynamic capability of the organisations. The study explains who the participants are and why they are participat ing as well as what their expectations are and how they are willing to participate. The utilisation mechanism is also explored from the knowledge management point of view.
Keywords: Keywords: community of practice, dynamic capability, open innovation, academia-industry collaboration
A Theoretical Model to Integrate PKM with Kolbs Learning Model for Mitigating Risks From Exhaustive Internet Exposures pp165‑175
Abstract: Recent studies on use of Internet among youngsters suggest problematic behaviour and adverse impacts on overall health as there are uncharted boundaries of information and media through Internet. Such related problems include Internet addiction , shyness, alienation, psychological distress and academic performance decrement over time. As a consequence, the ability of students in tertiary education to communicate effectively and interact humanly could deteriorate as they become more accustomed t o networking via Internet. However, students nowadays do increasingly rely on the Internet to perform research under the knowledge‑based economy despite concerns over reliability and truthfulness of information available from Internet. Against such a ba ckground, we construct a framework for an optimal use of Internet with the main purpose of Personal Knowledge Management (PKM). We argue for an interventionist approach to orient students in tertiary education to develop a strategic mindset that utiliz es Internet as a source for developing knowledge about learning outcomes while mitigating the risks associated with over‑reliance and inadequate uses. There are specific skills of PKM for an optimal use of Internet. These skills can be learned in the init iation of a study programme and reinforced in course delivery, which include course assessments and assignments provided. Students are advised on the validated sources, such as electronic databases and e‑libraries that are well‑recognized as knowledge bas es for studying and learning. PKM aims to orient students in tertiary education to develop a strategic mindset that exploits Internet as a source for developing knowledge about learning outcomes while mitigating the risks associated with over‑reliance and inadequate uses. The importance of orientation, on‑going monitoring and reinforcing position habits through pedagogies should be emphasized. A key potential benefit of this approach is to prevent students from adopting habits of using Internet that could cause health‑related problems and develop int
Keywords: Keywords: internet addiction, personal knowledge management, knowledge-based economy, tertiary education
The Inventive output, of an Effective implementation of Knowledge and Performance Management Perspectives pp176‑188
Abstract: The purpose of this research study was to examine the correlation, if any, between knowledge and performance management and associated strategies employed by todays organizations to increase stakeholder and shareholder value.: Each strategy was individually examined using the quantitative causal method research design in order to examine the relationship/correlation of the level of knowledge and performance activities within participant organizations, and then collaboratively examine their inte r‑relations. The independent variables and the dependent variables vary in each correlation research questions. The findings endorsed that effective use of organizational explicit knowledge and efficient performance are practices worth doing. Correlations between knowledge and performance and innovation and value added were found to be relatively strong. A moderately strong predictive correlation between effective implementation of knowledge strategy and performance was also found and presented, and simil ar findings showing a moderately strong predictive correlation between effective implementation of performance strategy and innovation are also established and shown.: Organizations can increase and create vital added value to both stakeholders and shareh older members by implementing effectively a holistic approach as an integrated part of routine practices that enhances knowledge creation and exceptional performance, which will contribute to superior results tangible and intangible ones. The practical implications of this research will contribute to the academic discipline of knowledge and performance management. Paper relevance: This paper will contribute to the debate regarding the linking of knowledge and performance management. Further, this paper will contribute to the in‑depth analysis/discussion of the importance of knowledge in innovation and velocity management.
Keywords: Keywords: knowledge management, knowledge transfer, innovation, performance, strategy, velocity.