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We present the concept and first experiences for a Web‐based ecological knowledge management system ILMAX. It manages experience knowledge resulting from an ecological long‐term investigation of the regeneration process of the stream Ilm (Thuringia, Germany). The tools used are iZone, a Web‐based content management system with an emphasis on information retrieval and feedback, and D3, a tool kit for building knowledge‐based systems and for managing case bases. The difficult initializing phase of knowledge management systems was done by a “knowledge champion” gathering and structuring various kinds of text documents, data sheets and unpublished knowledge of domain experts.

Human beings are dependent upon social approval to strengthen their identities. Therefore, they practice impression management: They anticipate which behaviour provokes which reactions in their social environment, and they tend to exhibit the kind of behaviour that promises positive feedback. Based on the assumption that human beings also show this behaviour in their choice of vocation, we hypothesise that young people are more likely to expect negative reactions from their social environment when choosing a gender-atypical occupation. Furthermore, we assume that the expected reaction of the social environment influences vocational orientation: The anticipation of negative reactions to gender-atypical vocational choice might contribute to explain why young people ignore this occupation. We tested both hypotheses with the help of data retrieved from a survey of young people in Germany who are interested in vocational education and training (VET). The results support our hypotheses; however, they also show that the relevance of a gender-typed vocational choice is weaker if adolescents have a higher educational background. In this case, the choice of an occupation that expresses a high educational status becomes more important. It may lead to an exclusive kind of social approval that is denied to people with a lower educational background.

This article seeks to address the social aspects of handling knowledge and information. For this purpose, it considers findings from social psychology and discusses their applicability in knowledge management research and practice.

The article presents a selective but systematical review of recent social psychological literature that can be applied for knowledge management purposes.

Two social psychological concepts that strongly influence knowledge processes in organizations are first introduced: social norms and social identity. Two types of social processes that are particularly relevant for knowledge management subsequently take center stage in this article: knowledge sharing and knowledge processing in organizations. The roles social norms and social identity play in knowledge sharing and knowledge processing are then assessed.

Implications for knowledge management practice are considered: among other implications, it is discussed what computer‐mediated support can contribute to knowledge management processes in organizations with respect to both knowledge sharing and knowledge processing.

Recently, mHealth apps for COVID-19 have emerged as a new research area due to the diverse efforts to control the COVID-19 epidemic. Although there are many bibliometric studies on mHealth and its applications, no bibliometric study sheds light on mHealth apps for COVID-19 as a new research area. To address the above-mentioned research gap, the current study conducts a bibliometric analysis of research in mHealth apps for COVID-19. It aims to provide a comprehensive overview of the new area and its directions.

The study uses a bibliometric approach to provide an analysis of the overall status of research in mHealth apps for COVID-19. The Scopus database provided by Elsevier was used to extract the analyzed data in this study. SciVal was used to perform the analyses, while VOSviewer was used for scientific mapping.

A total of 457 publications were published between 2020 and 2021 (until Tuesday, June 1) and cited 3,559 times. Publications were written by 2,375 authors, with an average of 5.20 authors per publication. Articles play a pivotal role in the literature on mHealth apps for COVID-19 in terms of production and impact. The research area of mHealth apps for COVID-19 is multidisciplinary. The United States made the largest contribution to this area, while the UK was the most influential. This study reveals the most productive and influential sources, institutions and authors. It also reveals the research hotspots and major thematic clusters in mHealth apps for COVID-19, highly cited publications and the international collaboration network.

mHealth apps for COVID-19 are gaining more and more importance due to their influential role in controlling the COVID-19 epidemic. Using bibliometric analysis, the study contributes to defining the knowledge structure of global research in mHealth apps for COVID-19 as a new, interdisciplinary area of research that has not previously been studied. Therefore, the study results and the comprehensive picture obtained about research in mHealth apps for COVID-19, especially at the level of Internet of Things (IoT) and artificial intelligence applications, make it an effective supplement to the expert evaluation in the field.