Žilinská univerzita v Žiline

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Author: search.filters.author.Bendík, Dávid

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    Trhové stratégie v BA so zameraním na Spojené štáty americké
    (University of Žilina, 2024) Bendík, Dávid; Tomová, Anna
    This paper discusses market strategies in business aviation with a focus on the United States. The first part of the paper is devoted to the definition, origins, and historical evolution of business aviation. It also includes an appraisal of the global significance of BA with an emphasis on Europe and the United States. The second part of the paper explains why it is beneficial to analyse market strategies in BA in the United States. Close attention is given to two highly important market strategies. The third, practical part of the paper provides essential data on the nineteen business airlines discussed by the author, along with an analysis of their fleet structure. In this part, the paper also focuses on the market tenure of the individual BA companies, offers a comparative analysis of their product portfolios, investigates acquisitions and collaborations, and characterizes the United States business aviation segment using Porter’s Five Forces analysis. The last part of the paper is dedicated to the interpretation of the main findings. The analyses conducted in the paper were based on business airline websites, aviation internet magazine articles and a research website that concentrates on the business aviation sector.
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    Artificial intelligence and its use in air transport
    (University of Zilina, 2022) Bendík, Dávid; Novák, Andrej
    In recent years, modern technologies have found large applications in sectors such as engineering, healthcare, information technology, robotics, and so forth. One important field in the use of such modern technologies is the field of air transport, where the main objective of using these technologies is to facilitate work for people, make individual tasks more efficient and faster, or reduce the risks associated with human error. In this paper, we will look at artificial intelligence and its use in aviation. Despite the rapid pace of improvement, artificial intelligence is still finding its way to reach its full potential. The history of artificial intelligence dates back to ancient times when many philosophers wondered whether a machine could think. The answer is found in the second half of the 20th century, when, besides theoretical knowledge, we can also observe the first intelligent machines. There is no clear and single correct definition for artificial intelligence, so the subject of the next section is to define artificial intelligence from different sources. The following section details the difference between deep learning and machine learning, comparing their main differences and applications in aviation. The analysis of the current state of application of artificial intelligence in aviation represents the core part of this paper. The emphasis in the analysis is put mainly on applications in the field of airports, air traffic management and safety. In each of these areas, the benefits of using AI are evaluated based on already established AI-enabled technologies. Finally, by analysing the sources available and those applied in our work with the use of a mathematical model, we assess how important the role artificial intelligence currently plays in air transport.