Purpose: Intraorganizational knowledge and information sharing are important steps toward more-accessible organizational knowledge. The aim of this study is to qualitatively explore factors that contribute to employees' motivations for sustaining intraorganizational knowledge-sharing behaviors and to examine the impact of these factors in a quantitative study with the Austrian Federal Ministry of Defense. This ministry faces a retirement wave in the next 5–10 years. Intraorganizational knowledge sharing before, during, and following this wave will play a decisive role for the organization in the near future.Design/methodology/approach: An exploratory sequential mixed-methods study was conducted. The study design involved a qualitative study phase with expert interviews and stakeholder workshops (n = 9) and a quantitative study phase based on a cross-sectional online survey with an implicit association test on intraorganizational knowledge sharing (n = 59).Findings: In the qualitative study phase, three main research topics regarding intraorganizational knowledge sharing were identified: employee attitude, organizational support, and specific relational aspects of knowledge transfer, such as reciprocal relationships among employees and opportunities for knowledge exchange. A hierarchical multiple regression analysis revealed that perceived organizational support was the only factor that was a significant predictor of motivation for engaging in knowledge sharing. We also analyzed the data for moderation effects and demonstrated that sociopsychological factors (e.g., the engagement or openness of colleagues to share their knowledge) further strengthened the positive relationship between employees' perceived support and personal willingness to share knowledge.Practical implications: We conclude that an organizational culture that supports knowledge sharing within the organization is highly relevant for motivating employees to share their knowledge. Practitioners will also benefit from the insights of the various dimensions of employees' willingness to engage in knowledge-sharing behaviors to better design further interventions in organizations.Originality/value: In accordance with an exploratory sequential mixed-methods approach, we followed a transdisciplinary process in which scientific and practical experiences and knowledge were integrated. For this purpose, interviews and workshops with experts and stakeholders in the organization were conducted. The qualitative findings were incorporated into a quantitative survey and an implicit association test for the employees of the organization. This approach demonstrates a different and more holistic approach to analyzing a real-world problem in the context of a governmental agency in order to investigate the multidimensional and complex topic of intraorganizational knowledge sharing.

Various collaborative innovation methods are increasingly used in strategy development and the implementation of organizational challenges. The aim of applying them is to involve different agents of an organization and support them in generating new ideas in a joint effort. For this research, an experimental field study was conducted in the course of an innovation workshop for 80 top managers in the public sector using a quantitative questionnaire and an ethnographic observation. A novel workshop format was designed using different materials to support the beginning of this innovation process. The groups used either traditional workshop materials, that is, moderation cards (small sheets of colored paper), or novel workshop materials, that is, LEGO bricks. Our results show that both materials significantly influenced the human experience in the workshop. The use of LEGO bricks was perceived as more enjoyable, active, and inspiring than the use of moderation cards. However, the perceived group outcome using moderation cards was rated higher than that working with LEGO bricks. We discuss how using novel workshop materials changes the experience of an innovation workshop, but we also highlight that additional factors, including translation effects, trained facilitators, and specific innovation phases, must be considered to outperform the use of traditional materials.

Various studies have indicated that unaccompanied minor refugees (UMRs) have a higher risk of suffering from mental health problems than do accompanied minor refugees and general population norm. However, only a few studies provide data on UMRs regarding post-migration risk factors, their interrelations, and their influence on mental health. In this study, system models of post-migration risk factors for mental health and their interactions were developed in the case of Austria. In three consecutive interactive workshops with scientists and practitioners, fuzzy-logic cognitive mapping techniques were used to integrate the experts’ knowledge. The resulting final system model consists of 11 risk factors (e.g., social contacts in the host country, housing situation, or professional health care services). The model provides a deeper insight into the complexity of interrelated direct, indirect, and reciprocal relations, as well as self-reinforcing triads. This systemic approach provides a sound basis for further investigations, taking into account the inherent complex multifactorial dependencies in this topic.

Efficient allocation of financial resources through policy interventions is vital for fostering grassroots sports and promoting preventive health measures. However, the intricacies of impact‐oriented grassroots sports subsidies are shaped by factors within a specific funding cascade and the broader societal context. Addressing this complexity requires a methodology that provides a comprehensive, systems perspective, considering diverse stakeholder knowledge. This paper advocates for the use of system dynamic modeling and stakeholder engagement as a promising approach to empower evidence‐based policy interventions. The transdisciplinary process, emphasizing equal collaboration between science and practice, aims to synergize the modeling. The study showcases the application of a multistage transdisciplinary modeling process for enhancing impact‐oriented public grassroots sports funding in Austria that is aligned with the EU Structural Reform Support Programme for evidence‐based policymaking. The multistage transdisciplinary modeling process is considered as a tool for facilitating the development of system interventions and addressing complex societal problems.