This study develops a Strategic Knowledge Management (KM) Framework for Helicopter Operations (SKMF-HO) to address the challenges of tacit expertise, frequent crew rotations, and complex maintenance, which are unique to helicopter operations. The framework aims to convert tacit operational knowledge into digital intelligence and strengthen aviation safety and performance. Additionally, the study introduces two helicopter-specific knowledge dynamics – Tacit Knowledge Velocity (TKV) and Tacit Knowledge Fragility (TKF) – to explain how knowledge transfer speed and vulnerability influence safety outcomes in rotary-wing environments.
A triangulated mixed-method strategy integrates a literature review, case studies, and a survey of 42 professionals from the civil and military helicopter sectors. Validation is strengthened through triangulation with safety-repository data and practitioner assessments. The study operationalizes Tacit Knowledge Velocity (TKV) and Tacit Knowledge Fragility (TKF) using survey indicators and case evidence, enabling an integrated assessment of knowledge flow efficiency and vulnerability.
Systemic barriers were identified, including cultural resistance to reporting, overreliance on tacit knowledge, and the underutilisation of Health and Usage Monitoring Systems (HUMS). Case evidence suggests that digital Knowledge Management (KM) tools, predictive maintenance, and AI-driven analytics are associated with improvements such as approximately 20–30% fewer safety occurrences and 10–15% higher fleet availability, although these remain context-dependent. The framework is structured around five pillars: Leadership and Culture, Knowledge Infrastructure, Knowledge Processes and Governance, Learning and Continuous Improvement, and Safety Integration. Tacit Knowledge Velocity (TKV) and Tacit Knowledge Fragility (TKF) offer a theoretical basis for analysing how knowledge-flow speed and fragility shape operational risk.
This study was based on a pilot survey and selected case studies, which may limit its generalizability. Wider cross-operator validation and longitudinal studies are recommended to strengthen its applicability. Tacit Knowledge Velocity (TKV) and Tacit Knowledge Fragility (TKF) also provide measurable constructs for future KM maturity assessment across rotorcraft operators.
SKMF-HO offers helicopter operators a structured, practice-oriented roadmap to institutionalize learning, reduce operational risks, and align with the ICAO, FAA, and IATA safety standards. Tacit Knowledge Velocity (TKV) and Tacit Knowledge Fragility (TKF) further enable diagnostic assessment of knowledge-flow gaps and high-risk knowledge dependencies.
Strengthening KM practices through SKMF-HO enhances societal safety by reducing incident likelihood, improving mission reliability, and ensuring safer helicopter operations across civil, defence, and EMS sectors. By institutionalising tacit knowledge and addressing fragile knowledge dependencies, the framework minimises repeat errors and reduces safety vulnerabilities linked to crew turnover and operational complexity. Communities benefit directly through more reliable medical evacuation, disaster response, and search-and-rescue missions. A stronger reporting culture and faster knowledge transfer reinforce transparency, accountability, and public trust in aviation systems. Collectively, these improvements support broader societal expectations for safe, resilient, and knowledge-driven helicopter services.
This framework advances existing KM and SMS research by providing a helicopter-specific integration of tacit expertise, structured KM processes, and digital enablers for rotary-wing aviation. The introduction of Tacit Knowledge Velocity (TKV) and Tacit Knowledge Fragility (TKF) represents a novel theoretical contribution that enriches KM scholarship by capturing the dynamic and fragile nature of knowledge flows in helicopter operations – an area largely overlooked in existing aviation KM studies.
