Now showing items 21-26 of 26
Analysis of success factors in aviation 4.0 using integrated intuitionistic fuzzy MCDM methods
Recently, emerging digital technologies have launched digital transformation, and it has become a factor that determines the competitiveness of companies, their performance, and digital sustainability. At this point, the ...
Self-medication among ab initio pilots
(Aerospace Medical Association, 2021-03)
INTRODUCTION: Pilots are more aware of drugs and self-medication in the internet age. However, they are unaware of the effects of self-medication, which may impede their cognitive and decision-making performance. The aim ...
Stress among ab-initio pilots: A model of contributing factors by AHP
Human error in the cockpit triggers a chain of incidences, which might lead in aviation to fatal consequences. Indeed, it is the highest contributor to aviation accidents, where stress is correlated positively. Despite the ...
Fatigue among student pilots
(Aerospace Medical Association, 2021-01)
INTRODUCTION: Fatigue is an important phenomenon in modern aviation. Despite the progress in research concerning fatigue among civil aviation and military pilots, fatigue in student pilots has remained unexamined. The aim ...
Applying deep learning models to twitter data to detect airport service quality
Measuring airport service quality (ASQ) is an important process for identifying shortages and suggesting improvements that guide management decisions. This research, introduces a general framework for measuring ASQ using ...
An integrated SWOT based fuzzy AHP and fuzzy MARCOS methodology for digital transformation strategy analysis in airline industry
Driven by business strategies, digital transformation (DT) facilitates dramatic change in air passenger behavior. This study aims to determine and analyze different DT strategies (DTSs) with the help of an integrated ...
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