The thesis titled "The Influence of Aeroflot's PR Communication on Public Opinion" points out the "PR activity - newspaper article - public awareness and opinion" chain. The objective of the thesis is to point out the relationships between the individual parts of the chain and the overall impact of PR activities on the general public's awareness and opinion. The thesis focuses on the issues of Public Relations in the case of Aeroflot's PR communication at the time when the company was interested in acquiring Czech Airlines. The document also includes an analysis of the media outputs that were published about Aeroflot in the period under review and the subsequent research illustrating the general public's awareness of and opinion on the matter.

This first chapter is about travel insurance for individuals. In the second and third one is written about insurance in tourism - with travel agency and airlines. Finally in the last chapter are analysed experiences of addressed respondents about travel insurance and servisces of bouth establishments.

The aim of this thesis is to develop a business plan for the establishment of private airlines in the Czech Republic, based in Prague. The first part describes the theoretical part of the business plan. Its contents are facts that business plan should include, describes the practical meaning of this work and the reason for its assembly. Theoretical part describes in detail each part of the business plan and defines methods which are used in the practical part. The second part of this thesis deals with the transfer of theory into practical application. The practical part describes a preparation of the business plan, the establishment of private airlines. The content of the business plan is the executive summary, organizational structure, description of services offered, operation and analysis of competition and market. There are also accurately described activities of business, risk analysis and financial plan. The financial plan is created for five years in business and it has three possible variants of development. The conclusion contains a summary of the project and recommendations.

This thesis examines the determinants of air route profitability in the European Union and the cooperating countries of Norway and Switzerland. Building on the assumption that only profitable routes are served, I develop a set of probit models that specify route service as a function of route characteristics, airline networks' attributes, airline partnerships and competition. Estimation results show that route profitability increases with population size and decreases with flight distance and the time efficiency of car travel relative to air travel. An airline's airport presence, that is, its share of airport operations, exerts a significant, positive effect on its route profitability, and so does airport presence of its group or allied partners. Competitive effects are asymmetric across airline business types. This paper's contribution to existing airline-route profitability studies lies in accounting for airline cooperation, controlling for an alternative mode of transport, and using EU data for estimation.

This thesis deals with the evaluation of the actual utilisation of business jet aircraft. The focus is based on actual utilisation of business jet aircraft for airlines, with vision for another possible utilisation, which is described on example study.

While worldwide the flight industry was increasing in the last decade, little is known about the working environment of pilots and flight attendants. This paper aims to develop a deeper understanding based on the theories of loyalty, self-loyalty, commitment, and motivation for pilots and flight attendants in the low-cost segment and the carrier segment in the flight industry. A qualitative study with a semi-structured interview is provided. In total, three pilots and three flight attendants who work for a low-cost airline and carrier airlines from all over the world were interviewed. The findings show that a differentiation between before the COVID 19 pandemic and during COVID 19 has to be made. Before COVID 19, pilots were almost satisfied with their working conditions whereas flight attendants felt their working conditions could have been improved in terms of better wages. However, during the COVID 19 time, both the flight attendants and pilots are afraid of losing their job. Due to COVID 19, many flights were cancelled which might have an impact on the flight industry in the future. My studies open up possibilities for new research in the future about the transformation of the flight industry after COVID 19.

Abstract  Background: Due to recent geopolitical issues, ethnocentrism has had a noticeable rise. However, the effect of consumer ethnocentrism on purchase intentions has received little prior research. An especially noticeable lack of previous research is within intangible products such as services. The ethnocentric consumer is assumed to be biased towards products and services from his or her own country and reluctant to consume products from abroad. An industry that is often disregarded in business research is the aviation industry. In 2022, Swedish and Finnish airports oversaw a total of approximately fifty-five million passengers, making it a large business with little attention directed towards it. The industry is fragile concerning economic cycles and especially brittle in external challenges such as the covid pandemic. Purpose: The purpose of this study is to investigate the effect of consumer ethnocentrism on purchase intentions towards home national airlines through shaping individual perceptions of home national airlines and how this effect is moderated by the status of frequent fliers and gender.  Method: This study uses a quantitative research method, based on an online survey with 132 respondents in Sweden and Finland. We test our research model with seven research hypotheses based on the survey data.  Findings & Contributions: Our findings indicate that individual ethnocentrism directly increases the purchase intention of Swedish and Finnish consumers towards home national airlines and indirectly enhances the purchase intention of Swedish and Finnish airline consumers by increasing consumers’ perceptions. Our study also reveals that the positive effect of individual ethnocentrism on consumer purchase intention towards home national airlines is weaker among frequent fliers. However, our study does not find differences in the effect of individual ethnocentrism between males and females. In terms of research contributions, our thesis gains a better understanding of the effect of individual ethnocentrism on consumers’ purchase intention by investigating the mediators and moderators and contributes to the research on consumer behaviours.

Negative word of mouth is something most businesses try to avoid, It could affect the reputation and vision of a company in a consumer’s mind. The success of a company lies in the connection of a product or service with a satisfying good image that has been formed on the back of consumer’s mind. This image can be the result of a positive past experience or the good reputation a company already has. On the other hand, negative word of mouth specifically in social media has the power to destroy the reputation of a company, because of the fast and wide spreading of a crisis in no time. This research will answer the question of how is the market value of a company affected by viral negative sentiment in social media? Focusing on the case study of United Airlines crisis 2017. We show that viral negative sentiment can have a short term effect over a company’s market value, but might not affect in the long term in a counter-intuitive manner.

In this dissertation, I present three theoretical results with real-world applications related to scheduling and distributionally-robust games, important fields in discrete optimization, and computer science. The first chapter provides simple, technology-free interventions to manage elevator queues in high-rise buildings when passenger demand far exceeds the capacity of the elevator system. The problem was motivated by the need to manage passengers safely in light of reduced elevator capacities during the COVID-19 pandemic. We use mathematical modeling, epidemiological expertise, and simulation to design and evaluate our algorithmic solutions. The key idea is to explicitly or implicitly group passengers that are going to the same floor into the same elevator as much as possible, substantiated theoretically using a technique from queuing theory known as stability analysis. This chapter is joint work with Charles Branas, Adam Elmachtoub, Clifford Stein, and Yeqing Zhou, directly in collaboration with the New York City Mayor’s Office of the Chief Technology Officer and the Department of Citywide Administrative Services. The second chapter proposes new algorithms for recomputing passenger itineraries for airlines during major disruptions when carefully planned schedules are thrown into disarray. An airline network is a massive temporal graph, often with tight regulatory and operational constraints. When disruptions propagate through an airline network, the objective is to \textit{recover} within a given time frame from a disruption, meaning we replan schedules affected by the disruption such that the new schedules have to match the originally planned schedules after the time frame. We aim to solve the large-scale airline recovery problem with quick, user-independent, consistent, and near-optimal algorithms. We provide new algorithms to solve the passenger recovery problem, given recovered flight and crew solutions. We build a preprocessing step and construct an Integer Program as well as a network-based approach based on solving multiple-label shortest path problems. Experiments show the tractability of our proposed algorithms on airline data sets with heavy flight disruptions. This chapter is joint work with Clifford Stein, stemming from an internship and collaboration with the Machine Learning team (Artificial Intelligence organization) of GE Global Research, Niskayuna, New York. The third chapter is about computing distributionally-robust strategies for a popular game theory model called Stackelberg games, where one player, called the leader, is able to commit to a strategy first, assuming the other player(s), called follower(s) would best respond to the strategy. In many of the real-world applications of Stackelberg games, parameters such as payoffs of the follower(s) are not known with certainty. Distributionally-robust optimization allows a distribution over possible model parameters, where this distribution comes from a set of possible distributions. The goal for the leader is to maximize their expected utility with respect to the worst-case distribution from the set. We initiate the study of distributionally-robust models for Stackelberg games, show that a distributionally-robust Stackelberg equilibrium always exists across a wide array of uncertainty models, and provide tractable algorithms for some general settings with experimental results. This chapter is joint work with Christian Kroer.

No description available.