Essays about: "Airline industry analysis"

Showing result 6 - 10 of 35 essays containing the words Airline industry analysis.

  1. 6. Has Risk Capital Increased Airlines Capabilities to Respond to Crisis

    University essay from Lunds universitet/Företagsekonomiska institutionen

    Author : Filip Blecher; Oskar Persson; [2021]
    Keywords : Economic capital; risk capacity; Covid-19; airline industry; financial constraints; Business and Economics;

    Abstract : Purpose: This paper aims to empirically investigate if pre-pandemic risk-capital was able to mitigate the negative impact of the COVID-19 pandemic on employees and investments in the airline industry Method: The base econometric methodology used is multiple regression analysis with the four risk capitals interacting with a dummy variable for the year 2020 when the COVID-19 pandemic hit. Theory: The broad theoretical framework is based on financial constraints and risk capital in the form of economic capital and risk capacity. READ MORE

  3. 7. Searching For Relevant Features To Classify Crew Pairing Problems

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Jin Guo; [2019-10-21]
    Keywords : Machine learning; airline crew pairing; feature selection; algorithm selection; classification;

    Abstract : Machine learning (ML) is an emerging technology. Jeppesen, a leader of commercial optimization products in the airline industry, has started exploring ML methods to facilitate optimization algorithm development. This thesis investigates one of the company’s products, the crew pairing optimizer. READ MORE

  4. 8. Enhancing an airline’s internal marketing to improve service quality and customer loyalty : A qualitative study expanding the Internal Marketing Model based on the case of Germania.

    University essay from Högskolan i Jönköping/IHH, Företagsekonomi

    Author : Daniela Westerlund; Hilz Leila; Paula Schmidt; [2019]
    Keywords : Service Quality; Customer Loyalty; Customer Satisfaction; Service Marketing; Internal Marketing; Airline Industry; Employee Motivation; Employee Empowerment;

    Abstract : Background: Due to the deregulation of the European airline industry within the 1980’s, competition between airlines has intensified greatly. The emergence of low-cost carriers has given rise to the competition on price. READ MORE

  5. 9. Revenue Management Applicability on Coworking Space : Operator Perspective

    University essay from KTH/Fastigheter och byggande

    Author : Sofie Magne; Jacob Stenswed; [2019]
    Keywords : Revenue Management Model; RM-model; Coworking office; Coworking; office market; Key performance indicators; benchmarks; market segmentation; demand forecast; revenue optimization; Intäktsoptimeringsmodeller; RM-modell; Coworking verksamhet; Co-working kontorsmarknad; resultatindikationer; benchmark; marknadssegementering; efterfrågan prognos;

    Abstract : This thesis explores the potential use and implementation of a revenuemanagement model for coworking operators. With a critical realism philosophyand abductive approach, a quantitative study using primary data from a coworkingoperator has been conducted. READ MORE

  6. 10. A Study on Comparison Websites in the Airline Industry and Using CART Methods to Determine Key Parameters in Flight Search Conversion

    University essay from KTH/Matematisk statistik

    Author : Jacob Hansén; Axel Gustafsson; [2019]
    Keywords : True positives; true negatives; false positives; false negatives; Classification Trees; Random Forest; SMOTE; ROSE; ROC; AUC; LCC; meta-search engine; Online Travel Agency; Gini impurity index; Sann negativ; sann positiv; falsk positiv; falsk negativ; klassificationsträd; Random Forest; SMOTE; ROSE; ROC; AUC; jämförelsehemsida; resebyrå; Gini koefficient;

    Abstract : This bachelor thesis in applied mathematics and industrial engineering and management aimed to identify relationships between search parameters in flight comparison search engines and the exit conversion rate, while also investigating how the emergence of such comparison search engines has impacted the airline industry. To identify such relationships, several classification models were employed in conjunction with several sampling methods to produce a predictive model using the program R. READ MORE