Sökning: "airline network"

Visar resultat 1 - 5 av 17 uppsatser innehållade orden airline network.

  1. 1. The dynamic process of brand negotiation in virtual brand communities in the airline industry - a case study of a full-service carrier, KLM Royal Dutch Airlines

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Jing Rong Chang; Corina Choi Magnusson; [2021-07-01]
    Nyckelord :Brand negotiation; virtual brand communities; trust and commitment; actor-network theory; airline industry;

    Sammanfattning : The increasing application of digitalisation and the popular use of social media affect the way brands communicate with their customers. The growing significance of virtual brand communities (VBCs) such as Facebook brand fan pages has led to a change in how brands and consumers interact, thus urging researchers and marketers to look for new perspectives of management within this area. LÄS MER

  3. 2. Machine Learning Techniques To Analyze Operator’s Behavior

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Sai Srivatsava Manchala; [2020]
    Nyckelord :Machine learning; Supervised learning; Neural networks; Airline disruptions; Schedule recovery;

    Sammanfattning : Background: With savvier management teams, airlines are becoming more stable, more productive, and more profitable. The problems plaguing the aviation industry, however, have not gone away and have become more complicated instead. Schedule recovery is the process of recovery from these issues (also known as operating disturbances). LÄS MER

  4. 3. Predicting Purchase of Airline Seating Using Machine Learning

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Sebastian El-Hage; [2020]
    Nyckelord :Deep learning; Machine learning; Binary classification; Neural network; Support vector machine; Djupinlärning; Maskininlärning; Binär klassificering; Neurala nätverk; Stödvektormaskin;

    Sammanfattning : With the continuing surge in digitalization within the travel industry and the increased demand of personalized services, understanding customer behaviour is becoming a requirement to survive for travel agencies. The number of cases that addresses this problem are increasing and machine learning is expected to be the enabling technique. LÄS MER

  5. 4. Evaluation of machine learning algorithms for customer demand prediction of in-flight meals

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Matteus Hast; [2019]
    Nyckelord :;

    Sammanfattning : This study aims to evaluate multiple Machine Learning Algorithms (MLAs) for estimating the customer demand of in-flight meals. As a result of the review of related works, four MLAs were selected, namely Linear Regression (LR), Support Vector Regression (SVR), Extreme Gradient Boosting (XGBoost) and a Multilayer Perceptron Neural Network (MLP). LÄS MER

  7. 5. IN THE MIDDLE OF EVERYWHERE : A Hypothetical Studies for a New Travel Hub Between Europe and Asia

    Magister-uppsats, Umeå universitet/Kulturgeografi

    Författare :Aditya Billy Christofel; [2018]
    Nyckelord :air transport; airline network; hub-and-spoke; transport geography;

    Sammanfattning : The development of air transport industry contributes to the economic growth worldwide. It evolves from a luxury form of transportation to an affordable and quick way to move between places. LÄS MER