The American Journal of Engineering and Technology
43
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TYPE
Original Research
PAGE NO.
43-48
10.37547/tajet/Volume07Issue04-06
OPEN ACCESS
SUBMITED
22 February 2025
ACCEPTED
22 March 2025
PUBLISHED
08 April 2025
VOLUME
Vol.07 Issue 04 2025
CITATION
Oleg Aframchuk. (2025). Effectiveness of Crm (Crew Resource
Management) In Preventing Aviation Accidents. The American Journal of
Engineering and Technology, 7(04), 43
–
48.
https://doi.org/10.37547/tajet/Volume07Issue04-06
COPYRIGHT
© 2025 Original content from this work may be used under the terms
of the creative commons attributes 4.0 License.
Effectiveness of Crm (Crew
Resource Management) In
Preventing Aviation
Accidents
Oleg Aframchuk
Aviation Psychology Mentor & Developer of Applied Mental Readiness
Techniques for Flight Crew Members and Small Businesses,
author of SkyZen methodology
Oakland Park, FL, USA
Abstract:
The article examines issues related to the
effectiveness of CRM in preventing aviation accidents.
Modern civil aviation demands extremely high standards
of flight safety, which necessitates the improvement of
the methodological foundation for crew resource
management. Despite the widespread implementation
of relevant mechanisms, unresolved challenges remain
that are directly linked to the effectiveness of various
training methods, the role of technological innovations,
and the impact of the human factor. Some studies
emphasize the particular importance of digitalization and
the integration of artificial intelligence into decision-
making processes, while others focus on enhancing
traditional interpersonal skills within the crew. These
contradictions require detailed analysis. The study aims
to investigate the efficacy of CRM in the context of
preventing aviation accidents, taking into account the
different approaches applied by airlines. Key aspects
addressed include the role of meteorological data, the
implementation of virtual reality and artificial
intelligence in training programs, and the human and
organizational determinants that shape the successful
application of CRM. It is concluded that the effectiveness
of CRM depends not only on the quality of crew training
but also on the systematic integration of technological
solutions, training methodologies, and organizational
culture. The author’s contribution is evident in the
formulation of recommendations regarding the
development of training programs. The results will be
useful for airlines, aviation training centers, developers of
simulation technologies, and safety professionals.
Keywords:
aviation safety, crew interaction, virtual
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reality, decision-making, situational awareness, crew
resource management, human factor.
Introduction:
Under conditions of continuously increasing aviation
operation complexity and rising operational risks,
there is a clear need for an in-depth analysis of
strategies aimed at minimizing the human factor in
critical situations. The research problem lies in
deconstructing the mechanisms through which the
Crew Resource Management (CRM) system reduces
the likelihood of accident scenarios. In this regard,
contemporary researchers analyze the structural
components of CRM and their integration into
operational practice while assessing empirical data
that demonstrate a reduction in erroneous actions and
an improvement in decision-making quality during
extreme situations. Initial attempts to optimize crew
interaction emerged against the backdrop of a sharp
increase in incidents associated with deficiencies in
interpersonal communication and a lack of
coordination. The early concept of CRM was a set of
standard instructions primarily focused on eliminating
basic communication barriers. However, as statistical
data accumulated along with a significant expansion in
the range of factors affecting flight safety, it became
apparent that a systemic approach integrating
psychological, organizational, and technical aspects
was necessary. The evolution of CRM is characterized
by a shift from formal algorithms to dynamic models
capable of adapting to specific operational conditions
and airline requirements.
MATERIALS AND METHODS
Research on CRM in the prevention of aviation
accidents can be grouped into several key areas: the
impact of meteorological data and situational
awareness, the implementation of innovative
technologies, human factors, team interaction, and the
strategic ma
nagement of crew resources. M. Kubáň
and J. Hořínka [5] refer to a retrospective analysis of
decision-making in aviation, which is crucial for
elucidating the topic in the context of prerequisites
and causal relationships. Historical aspects of CRM are
also described in an online review that, among other
things, provides statistical data [9]. A.A. Bayazitoğlu
and H. Güngör [1] examine the impact of
meteorological factors on CRM effectiveness,
emphasizing the necessity of integrating weather
parameters into the management process. Their study
demonstrates that adaptation to challenging weather
conditions enhances crew situational awareness, which
is critical for accident prevention. In a similar vein, T.T.
İnan and C.M. Bükeç [3] analyze the relationship
between improvements in the Safety Management
System (SMS) and a reduction in aviation incidents.
Innovative technologies in CRM training and evaluation
are discussed in detail in the publications of F. Duruaku
and colleagues [2] and J. Korentsides and associates [4].
These studies assess the applicability of virtual reality
for scenario-based training, demonstrating that VR
contributes to more realistic training situations and
strengthens crew skills. Researchers also focus on the
nuances of human
–
artificial intelligence interaction in
aviation, discussing the prospects for forming hybrid
teams in which algorithms complement human
decisions by minimizing the likelihood of errors through
automated analysis of information flows.
The human factor in CRM is analyzed in the works of Yu.
Liu [7], K. Perkins and colleagues [8], and L. Vempati and
associates [10]. These studies emphasize crew skills and
training specifics, highlighting the importance of
continuous professional development. They also
examine gaps in pilot training related to interpersonal
aspects, noting the need for a deeper investigation into
sociotechnical interactions. A significant qualitative
analysis of pilot reports within the aviation safety
system, using a classification system for human factors,
has been conducted to identify key errors and potential
areas for CRM improvement.
Strategic management of human resources in airlines
and its impact on CRM are analyzed in the publication
by H.J. Lee and colleagues [6]. It is noted that an
effective personnel management mechanism, including
employee
engagement
and
organizational
commitment, directly influences crew performance and
their ability to adhere to CRM principles. Despite the
extensive and multifaceted coverage of the topic, the
studies contain contradictions. For instance, some
authors emphasize the necessity for enhanced
digitalization [4], while others focus on the
development of classical interaction skills [8]. The
influence of sociocultural factors on the perception and
implementation of CRM in different airlines remains
insufficiently addressed.
The methods employed in this study include content
analysis of scientific publications and online sources,
statistical data processing, systematization, synthesis,
and generalization.
RESULTS AND DISCUSSION
As early as the 1970s, it was found that over 70% of
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aviation accidents were attributable to human errors
rather than equipment failures or weather conditions
[5, 9]. Although it is difficult to assess how many lives
were saved or how many accidents were prevented as
a result of CRM training, its impact is considerable.
LOSA data indicate that 98% of all flights encounter
one or more threats (an average of four per flight), and
errors were observed in 82% of cases [9].
The fundamental conceptual basis of CRM is rooted in
the ideas of cognitive psychology and systems theory,
where each crew member is not viewed as an isolated
executor but as an element of an interconnected
structure capable of adaptive self-learning. This
approach allows for a perspective on safety that focuses
not on individual mistakes but on the disruption of the
dynamics of collective awareness and cooperative
processes. The theoretical foundation of CRM is
presented in Fig. 1 [1, 3, 6, 10].
Fig. 1. Elements of the CRM conceptual framework (compiled by the author based on [1, 3, 6, 10])
Thus, CRM is an integrative system in which the key
element is effective interaction among participants. It
involves not only the transmission of commands but
also the creation of conditions conducive to open
dialogue, where every viewpoint matters.
Theoretically, communication within CRM should
encompass three levels:
●
information exchange;
●
signal interpretation;
Elements
Multi-level
communication
structure
Dynamic role
assignment and
responsibility
Cognitive synergy
Collective
consciousness
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●
collective decision-making [1-3, 7].
This approach helps to minimize the risk of
misunderstandings and avoid the consequences
associated with outdated formal models, in which
initiative is often concentrated in the hands of a single
leader.
Within the CRM conceptual model, it is emphasized
that a static structure for task allocation does not allow
for adequate responses to rapidly changing airspace
conditions. The role of each participant should be
determined not only by their official duties but also by
the current situation, their level of qualification, and
their ability to critically analyze incoming information.
The implied dynamism in the distribution of
responsibility has a positive effect on forming a flexible
mechanism of collective management, in which each
crew member contributes to the overall decision-
making process.
One of the central concepts in CRM research is
cognitive synergy
—
a phenomenon in which the
combination of individual cognitive abilities leads to the
formation of collective intelligence, enabling the
handling of complex information structures. In this
context, the group's capacity for synchronized thinking
and adaptation to new threats becomes more
important than the level of individual competence.
Theoretically, this arises when there is mutual trust,
openness in information exchange, and the absence of
hierarchical barriers that hinder constructive dialogue.
A key task of CRM is to develop among crew members
the ability for constant self-reflection and critical
evaluation of their own actions. Such an approach
allows for the timely identification of potential sources
of error and prevents their escalation. The
development of reflective skills becomes an integral
component of training programs, where the focus is on
self-analysis and collective self-regulation.
In addition to cognitive aspects, CRM is also examined
from the perspective of sociocultural factors that affect
interpersonal relationships within the team. A
harmonious atmosphere within the crew facilitates
information exchange and stimulates initiative, which is
particularly significant in crisis situations. It is
noteworthy that traditional leadership models often
contradict CRM principles because they tend toward
centralized management, whereas modern theory
emphasizes the distribution of responsibility and
collective participation in decision-making.
Modern approaches to CRM training are inevitably
integrated with technological innovations, which
significantly broaden the understanding of the problem
(see Fig. 2) [2, 4, 8, 10].
Fig. 2. Systematization of technological innovations in CRM training in the prevention of aviation disasters
(compiled by the author based on [2, 4, 8, 10])
Virtual and
Augmented Reality
(VR/AR)
Artificial intelligence
Adaptive simulators,
digital simulators
Biometric monitoring
of
psychophysiological
state
Analyzing speech
communications
Blockchain to capture,
analyze crew errors
Automated situational
awareness assessment
systems
Cognitive interfaces,
neural control
technologies
Gamified training
platforms
Cloud databases for
collective learning,
experience sharing
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Thus, virtual simulators and simulation systems help
model not only typical but also rare crisis situations,
thereby fostering the development of adaptive
response strategies. In theory, these tools provide the
opportunity to study the processes of collective
decision-making in real-time simulations, which
deepens the understanding of the mechanisms of
cognitive synergy and interaction [1, 3, 6, 10].
The analysis of CRM cannot be completed without
incorporating insights from related disciplines
—
psychology, sociology, organizational theory, and
systems analysis. Through interdisciplinary synthesis,
CRM can be regarded as a comprehensive model in
which each component mutually enriches the
understanding of the overall flight safety system [1, 3,
6, 10].
Based on the conducted analysis, several key directions
for improving CRM training can be identified (see Table
1).
Table 1
–
Recommendations on the organization and conduct of CRM trainings in order to prevent aviation
disasters (compiled by the author) [2, 4, 8, 10]
Proposals
Description
1. Integration of
interactive
technologies
The use of modern simulators and virtual training systems helps create
realistic scenarios that facilitate the development of responses under stress.
2.
Individualization
of training
Accounting for the psychological and professional characteristics of crew
members contributes to a more effective integration of new methods,
thereby enhancing adaptability in crisis situations.
3. Regularity and
consistency
of
trainings
Continuous updating of scenarios and repeated exercises helps maintain a
high level of readiness and allows for timely adjustments to the
methodology.
4.
Interdisciplinary
interaction
The collaboration of specialists from psychology, aviation engineering, and
management enables the development of more comprehensive and
adaptive training models.
Consider a hypothetical example of training
effectiveness evaluation. The initial data indicate that
an airline trains 50 pilots under the corresponding
program. Effectiveness is evaluated according to the
following key criteria:
●
errors in the simulator (the number of critical
mistakes during the practice of non-standard
situations);
●
decision-making time (referring to the average
reaction time of the crew).
Before the training:
●
the average number of errors per pilot is 6;
●
the average decision-making time is 20
seconds.
After the training:
●
the average number of errors per pilot is 3;
●
the average decision-making time is 14
seconds.
The calculation is based on comparing the data before
and after training: x = ((a - b) / a) * 100%, where a is the
value before training and b is the value after training.
Thus, the calculation shows a reduction in errors: ((6 -
3) / 6) * 100% = 50%. Additionally, an acceleration in
decision-making is observed: ((20 - 14) / 20) * 100% =
30%. In this hypothetical example, the training reduced
errors by 50% and accelerated decision-making by 30%,
indicating its significant impact on flight safety [2, 4, 8,
10].
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CONCLUSIONS
Based on the analysis, it can be concluded that CRM is
a comprehensive, adaptive tool capable of substantially
reducing risks associated with the human factor in
aviation operations. A multi-level approach that
combines qualitative and quantitative methods
demonstrates that the improvement of communication
strategies, dynamic role distribution, and the
implementation of modern information technologies
play a defining role in preventing accident scenarios.
The application of state-of-the-art simulation training,
the adjustment of methodologies to the specifics of
each operator, and the continuous improvement of
feedback mechanisms are integral components of the
successful integration of CRM into the everyday
practice of airlines. In the context of steadily increasing
operational risks, this area becomes a key strategic
vector aimed at ensuring maximum flight safety.
Further research in this field is recommended to focus
on the deep integration of interdisciplinary approaches,
which will allow for the identification of specific factors
affecting CRM effectiveness in various operational
scenarios. From the author’s perspective, the
development of adaptive training programs capable of
responding promptly to changes in the technological
and regulatory context, as well as the implementation
of machine learning systems to evaluate crew behavior
dynamics, represent promising directions for future
studies.
REFERENCES
Bayazitoğlu A
.A. Effects of meteorology data on crew
resource management in aviation / A.A. Bayazitoğlu, H.
Güngör // Journal of Aviation.
–
2023.
–
Vol. 7.
–
No. 2.
–
Pp. 300-309.
Duruaku F. Suitability of virtual reality for supplemental
scenario-based training to facilitate crew resource
management outcomes / F. Duruaku, B. Nguyen, N.
Green, N.A. Sonnenfeld, F. Jentsch // Proceedings of
the Human Factors and Ergonomics Society.
–
2023.
–
Vol. 67.
–
No. 1.
–
Pp. 2394-2396.
İnan T.T. The relationship between the improv
ement of
the safety management system (SMS) with the civil
aviation accident rates / T.T. İnan, C.M. Bükeç // Sosyal
Bilimler Araştırmaları Dergisi. –
2020.
–
Vol. 15.
–
No. 2.
–
Pp. 599-610.
Korentsides J. Human-AI teams in aviation:
considerations from human factors and team science /
J. Korentsides, J.R. Keebler, C.M. Fausett, S.M. Patel,
E.H. Lazzara // Journal of Aviation/Aerospace Education
& Research.
–
2024.
–
Vol. 33.
–
No. 4.
Kubáň M. Background of the decision making in
aviation / M. Kubáň, J. Hořínka // Transactions of the
VŠB –
Technical University of Ostrava. Mechanical
Series.
–
2020.
–
Vol. 66.
–
No. 1.
–
Pp. 17-23.
Lee H.J. Impact of airlines’ human resources strategic
management implementation on organizational
performance: focusing on the moderating role of
organizational commitment / H.J. Lee, G.H. Han, R.J.
Hart // International Journal of Tourism and Hospitality
Research.
–
2022.
–
Vol. 36.
–
No. 10.
–
Pp. 71-81.
Liu Yu. Research on human factors and skill training in
crew resource management / Yu. Liu // Region
–
Educational Research and Reviews.
–
2023.
–
Vol. 5.
–
No. 7.
–
P. 56.
Perkins K. Interpersonal skills in a sociotechnical
system: a training gap in flight decks / K. Perkins, S.
Ghosh, C. Hall // Journal of Aviation/Aerospace
Education & Research.
–
2024.
–
Vol. 33.
–
No. 2.
Safer air travel through crew resource management //
URL: https://www.apa.org/topics/safety-design/safer-
air-travel-crew-resource-management
(date
of
request: 03/23/2025).
Vempati L. Qualitative analysis of general aviation
pilots’ aviation safety reporting system incident
narratives using the human factors analysis and
classification system / L. Vempati, S. Woods, R.C. Solano
// International Journal of Aerospace Psychology.
–
2023.
–
Vol. 33.
–
No. 3.
–
Pp. 182-196.
