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Abstract Digitalizing organizational learning inherently has cultural values that may be competing. To better understand these competing values, I report an action research study of a higher learning institution’s development of a Digital Portal to their organizational learning initiative of Reflective Practice-based Learning. I use Cameron and Quinn’s (2006) questionnaire, a Competing Values assessment instrument designed to access competing values in organizational culture related to the dimensions of an internal versus external focus and flexibility versus stability. However, I adjust the instrument through ethnographic sensitivity, making it useful to the organization’s technical development of a Digital Portal. As an ethnographer and action researcher, I braid problem-solving and research experiences by adjusting and using this assessment instrument. The paper presents an ethnography of this braiding with an impressionist tale of how competing values can inform action research in digitalizing organizational learning. Finally, the contribution of using ethnographic sensitivity to question questionnaires and establish symbolic artifacts when digitalizing for individual and organizational learning is discussed and related to previous research.

In this paper, the authors demonstrate the suitability of IT-supported knowledge repositories for knowledge retention. Successful knowledge retention is dependent on what is stored in a repository and, hence, possible to share. Accordingly, the ability to capture the right (relevant) knowledge is a key aspect. Therefore, to increase the quality in an IT-supported knowledge repository, the identification activity, which starts the capture process, must be successfully performed. While critical success factors (CSFs) for knowledge retention and knowledge management are frequently discussed in the literature, there is a knowledge gap concerning CSFs for this specific knowledge capture activity. From a knowledge retention perspective, this paper proposes a model that characterizes CSFs for the identification activity and highlights the CSFs’ contribution to knowledge retention.

Purpose This paper aims to answer report how mentors who onboard newcomers to a high-stress social work organization can learn about their onboarding practice by treating onboarding as a wicked problem that escapes definitive formulation and final solutions. Design/methodology/approach The authors follow an action research approach with three iterations of learning about onboarding with mentors in a Danish social work organization struggling with an employee turnover exceeding 30%. Findings The authors unfold the authors’ emerging sensitivity to wickedity over the iterations of learning about onboarding with the mentors. As the authors foreground the wickedity of the authors onboarding in the last iteration, three lessons learned could be derived: it warrants the mentors’ continuous inquiry; opens inquiry into the ambivalence of mentoring; and convenes responsibility for inquiry to a community of mentors. Research limitations/implications This study of problematic onboarding to high-stress social work shows the value of fore-grounding wickedity instead of hiding it with a positive framing. This wickedity rests on situated grounding and is only transferrable to other organizations with the utmost caution. Practical implications High-stress social work organizations without the capacity to systematically sustain best practices for onboarding may, instead, increase attention to the wickedity of onboarding as a motivation for continuous inquiry by a broader community of mentors. Originality/value To the best of the authors’ knowledge, this paper is the first to present an action research study of problem wickedity to motivate mentors’ inquiry into onboarding newcomers to high-stress social work.

Undertaking to implement a knowledge management approach is inherently difficult and risky for organizations. This article describes and discusses an implementation of a knowledge management system that took place at Skaraborg Hospital, a group of hospitals in the South West of Sweden. The article describes how the implementation process was carried out. Based on the experiences from this case and some previous cases, the article suggests a number of best practices for implementing a knowledge management approach.

When practitioners make decisions as well as treat and care for patients they interpret patient specific information according to evidence based medical knowledge. This process is complex as evidence is infrequently available in a form that can be acted upon at the time decisions must be made. The aim of this paper is to (1) explore how primary, secondary and municipality care in Sweden work with the process of managing knowledge, (2) explore how nurses and assistant nurses experience availability of medical knowledge when and where they need it and (3) conditions for developing a coherent IT-based knowledge portal for different areas of knowledge bases in healthcare. The results show significant deficiencies in the knowledge management process of the participating organizations. The knowledge management processes are not embedded in business processes, activities and relationships, which cause major difficulties for practitioners to keep up with the latest medical evidence.

Complex decision-making is a prominent aspect of requirements engineering (RE) and the need for improved decision support for RE decision-makers has been identified by a number of authors in the research literature. A first step toward better decision support in requirements engineering is to understand multifaceted decision situations of decision-makers. In this paper, the focus is on RE decision-making in large scale bespoke development. The decision situation of RE decision-makers on a subsystem level has been studied at a systems engineering company and is depicted in this paper. These situations are described in terms of, e.g., RE decision matters, RE decision-making activities, and RE decision processes. Factors that affect RE decision-makers are also identified.

Anne Persson is a Full Professor of Informatics at the University of Skovde, Sweden. She holds a PhD in Computer and Systems Sciences from Stockholm University, Sweden, (2001) and an MSc in Computing from the University of Manchester Institute of Technology, UK(1998). Her main research interests are enterprise modeling, requirements engineering, knowledge management processes and systems, e-services, and health informatics. Persson is the author or co-author of more than 80 scientific papers and research reports, she serves on a number of conference program committees and has been a program co-chair of four conferences—CAiSE 2004, PoEM 2008,2009, and REFSQ 2010. She is one of the founders of the PoEM—(Practice of Enterprise Modeling) conference series, holding its 10th edition in 2017. Persson has been involved in various key roles in a number of European and national research projects. In an interview, she discusses her views on enterprise modeling.

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.