Content area
Psychological safety (PS), knowledge management (KM), and organizational learning (OL) are increasingly recognized as critical foundations for resilient, adaptive, and innovative organizations. However, the connections among these constructs remain fragmented in the literature, making bibliometric mapping an essential step to consolidate knowledge in this domain. This study analyzes the relationships between PS, KM, and OL, identifying thematic patterns and theoretical contributions that support the integration of these constructs into organizational cultures. Drawing from empirical literature indexed in Web of Science (WoS) (2000–2025), we applied the SPIDER framework and PRISMA methodology to identify and evaluate 103 peer-reviewed articles. Using VOSviewer (version 1.6.20) and data mining techniques, we generated bibliometric networks and thematic clusters that offer a comprehensive view of the conceptual landscape. Findings reveal that PS acts as a key enabler of knowledge sharing and OL, particularly in inclusive environments with leadership support and tolerance for error. An inductively developed conceptual model illustrates how trust-driven cultures can enhance knowledge flows and reduce dysfunctional behaviors such as knowledge hiding. By mapping these intersections, the study consolidates fragmented literature and demonstrates how PS, KM, and OL contribute to sustainable learning cultures while also highlighting promising avenues for future research on collective learning and organizational resilience.
Details
Data mining;
Collaboration;
Success;
Knowledge;
Organizational learning;
Safety;
Organizational culture;
Tacit knowledge;
Organizational research;
Tolerance;
Foundations;
Psychological safety;
Explicit knowledge;
Mapping;
Culture;
Knowledge management;
Resilience;
Leadership;
Innovations;
Corporate culture;
Reflective teaching;
Bibliometrics;
Organization development;
Conceptual models;
Employees;
Knowledge sharing;
Information retrieval;
Maps;
Learning;
Product development
; Rodrigues, Rosa 2
; Diogo, Ana 3
1 Departamento Economia e Gestão, Universidade Lusófona - Centro Universitário Lisboa, Campo Grande, 1749-024 Lisboa, Portugal
2 Business & Economics School, Instituto Superior de Gestão, 1500-552 Lisboa, Portugal; [email protected]
3 Instituto Politécnico de Gestão e Tecnologia, Isla Gaia, Rua Diogo Macedo, 4400-107 Vila Nova de Gaia, Portugal; [email protected]