| 1. |
- Aggestam, Lena, et al.
(författare)
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Supporting Knowledge Evaluation to Increase Quality in Electronic Knowledge Repositories
- 2010
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Ingår i: International Journal of Knowledge Management. - : IGI Global. - 1548-0666 .- 1548-0658. ; 6:1, s. 23-43
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Tidskriftsartikel (refereegranskat)abstract
- Knowledge forms an important asset in modern organizations. In order to gain and sustain competitive advantage knowledge has to be managed. One aspect of this is to use Electronic Knowledge Repositories (EKR) to enhance knowledge sharing, reuse and learning. The success of an EKR is dependent on the quality of its content. For knowledge to be stored in an EKR, it has to be captured. One crucial part of the capture process is to evaluate whether the identified knowledge should be incorporated in the EKR or not. Therefore, to increase quality in an EKR, the evaluation stage of the capture process must be successfully carried out. Based on an interpretive field study and an extensive literature review, this paper identifies and characterizes Critical Success Factors (CSF) in the evaluation stage and presents guidance aiming to support implementation of the evaluation stage with the purpose to increase the quality of an EKR. In particular, the guidance supports the decision whether identified knowledge should be stored or not and it highlights the importance of performing evaluation addressing correctness, relevance, protection and redundancy. The characterization of the capture process contributes mainly to KM theory, and the guidance to KM practice.
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| 2. |
- Dessne, Karin
(författare)
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Formality and Informality : Learning in Relationships in an Organisation
- 2013
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Ingår i: International Journal of Knowledge Management. - : IGI Global. - 1548-0666 .- 1548-0658. ; 9:4, s. 17-32
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Tidskriftsartikel (refereegranskat)abstract
- An organisation and its work are formed by social structures in the form of relationships. The aim of this paper is to explore the nature of relationships and its impact on learning with a qualitative approach. A case study focusing on the Land Warfare Centre (LWC) of the Swedish Armed Forces (SwAF) was conducted. The main target of the study was learning from experiences in training and field action. The analysis shows that relationships are characterised by and contributing to 1) local and oral learning, 2) confusion in the formal design of concepts and processes and 3) issues of power, status and trust. The results of this research support and clarify the viewpoint that the nature of relationships – with various degrees of formality/informality – impacts on learning in an organisation. The relationships are formed and re-formed by their preconditions and may be altered through conscious and unconscious changes of the preconditions.
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| 3. |
- Hylving, Lena, 1974-, et al.
(författare)
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Ethical Dilemmas and Big Data : The Case of the Swedish Transport Administration
- 2022
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Ingår i: International Journal of Knowledge Management. - Hershey, PA : IGI Global. - 1548-0666 .- 1548-0658. ; 18:1
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Tidskriftsartikel (refereegranskat)abstract
- Using big data in organizations has the potential to improve innovation, accuracy, and efficiency. Big data is also connected with risks for both the organization and society at large. It is therefore vital to improve our understanding of the potential consequences of implementing and using big data. The researchers studied the Swedish Transport Administration to understand their attitude towards implementing big data to predict, for example, the need for road maintenance. The analysis identified four moral dilemmas that the organization deals with in connection to big data. The researchers discuss these dilemmas from the perspective of practical wisdom. Practical wisdom is manifested in context-dependent actions connected to open-mindedness, reflection and judgment. It can be summed up as “the reasonable thing to do” in a unique situation where “not-knowing” is a helpful resource when making wise decisions. This paper seeks to shed light on the importance of practical wisdom when implementing big data. Copyright © 2022, IGI Global.
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| 4. |
- Padyab, Ali Mohammad, et al.
(författare)
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Genre-Based Approach to Assessing Information and Knowledge Security Risks
- 2014
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Ingår i: International Journal of Knowledge Management. - : IGI Global. - 1548-0666 .- 1548-0658. ; 10:2, s. 13-27
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Tidskriftsartikel (refereegranskat)abstract
- Contemporary methods for assessing information security risks have adopted mainly technical views on information and technology assets. Organizational dynamics of information management and knowledge sharing have gained less attention. This article outlines a new, genre-based, approach to information security risk assessment in order to orientate toward organization- and knowledge-centric identification and analysis of security risks. In order to operationalize the genre-based approach, we suggest the use of a genre-based analytical method for identifying organizational communication patterns through which organizational knowledge is shared. The genre-based method is then complemented with tasks and techniques from a textbook risk assessment method (OCTAVE Allegro). We discuss the initial experiences of three experienced information security professionals who tested the method. The article concludes with implications of the genre-based approach to analyzing information and knowledge security risks for future research and practice.
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| 5. |
- Stenmark, Dick, 1962, et al.
(författare)
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System Support for Knowledge Work: Bridging the Knowing-Doing Gap
- 2006
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Ingår i: International Journal of Knowledge Management. - : IGI Global. - 1548-0666 .- 1548-0658. ; 2:2, s. 46-68
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Tidskriftsartikel (refereegranskat)abstract
- Many researchers argue that information systems (IS) can play an important role in supporting organizational knowledge application. However, recent IS research indicates that knowledge management systems (KMS) often fail when implemented in the knowledge work practice of contemporary organizations. While KMS maintenance has been recognized as an important IS research area, imbalance between the desire for accurate content and the workload required to achieve this still appears to be a critical issue, resulting in systems of little use for organizations in their knowledge application processes. Driven by the ambition to contribute recommendations for how to integrate KMS with everyday knowledge work, we use general lessons learned from development of groupware applications as a theoretical lens to analyze empirical experiences from three implemented and evaluated KMS. Targeting the KMS maintenance challenge, our recommendations extend earlier IS research on the implementation and use of knowledge work support systems. On a practical level, our recommendations assist KMS developers in attempts to bridge the knowing-doing gap in organizations where individual members do not know or know of each other and the organization as a whole does not know what it knows.
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| 6. |
- Ouyang, Wei, et al.
(författare)
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Analysis of the Human Protein Atlas Image Classification competition
- 2019
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Ingår i: Nature Methods. - : Springer Nature. - 1548-7091 .- 1548-7105. ; 16:12, s. 1254-
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Tidskriftsartikel (refereegranskat)abstract
- Pinpointing subcellular protein localizations from microscopy images is easy to the trained eye, but challenging to automate. Based on the Human Protein Atlas image collection, we held a competition to identify deep learning solutions to solve this task. Challenges included training on highly imbalanced classes and predicting multiple labels per image. Over 3 months, 2,172 teams participated. Despite convergence on popular networks and training techniques, there was considerable variety among the solutions. Participants applied strategies for modifying neural networks and loss functions, augmenting data and using pretrained networks. The winning models far outperformed our previous effort at multi-label classification of protein localization patterns by similar to 20%. These models can be used as classifiers to annotate new images, feature extractors to measure pattern similarity or pretrained networks for a wide range of biological applications.
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