Search results for " Airlines"

showing 4 items of 4 documents

A Comparative Facebook Content Analysis between Romanian and Western European Airline Carriers

2014

This research aims to investigate the different social media strategies adopted by the airline companies from two European regions. In the attempt to land more customers on their social media runway, drive more sales from social media content, increase customer satisfaction through a high response rate or increase their brand awareness, the airlines combine creativity and high-quality ideas to better promote their products and services to customers all around the globe. The paper analyses the content (number of fans, posts, number of likes, the dynamics of comments, response rate) on the Facebook pages of Tarom, Blue Air, Wizz Air, Lufthansa, Austrian Airlines, KLM International and Air Eur…

Lufthansasocial networksresponse rateTaromFacebookAir Europa.lcsh:Marketing. Distribution of productscustomer satisfactioncustomer loyaltysocial mediaKLMBlue Airjel:M11jel:M30jel:M31customer satisfaction customer loyalty social media social networks airline companies response rate Facebook Tarom Blue Air Wizz Air Lufthansa Austrian Airlines KLM Air EuropaAustrian Airlineslcsh:HF5410-5417.5airline companiesWizz AirExpert Journal of Marketing
researchProduct

An Analytic Hierachy Process for Ranking Operating Costs of Low Cost and Full Service Airlines

2009

This paper develops an application of the analytic hierarchy process to rank the operating cost components of full service and low cost airlines. It takes into account the financial balance sheets and answers to a questionnaire submitted to the managers of selected airlines. The results suggest that the analytic hierarchy process can be appropriately used to obtain the ranking of the costs taking into account different views: financial, management and operative. Rental, office equipment and other supplies costs show the highest importance in the cost ranking, both for full services and low cost airlines. The robustness of the results is tested by Monte Carlo analysis.

Operating costOperations researchComputer sciencebusiness.industryStrategy and ManagementRank (computer programming)Monte Carlo SimulationAnalytic hierarchy processTransportationManagement Monitoring Policy and LawFull service and low cost airlines; Analytic hierarchy process; Operating costs; Monte Carlo SimulationMicroeconomicsRentingRankingLow-cost carrierFull service and low cost airlineAnalytic hierarchy proceBalance sheetRobustness (economics)businessLawOperating cost
researchProduct

Modelling Airlines Competition on Fares and Frequencies of Service by Bi-level Optimization

2011

Abstract The research aims to understand how airlines make operative decisions on fares and frequencies of service in a competitive envi-ronment. A game approach has been developed to model the airlines’ choices in a duopolistic market. In particular, the short haul market for intercity linkages has been investigated. In this segment the air mode is in competition with other ground modes (i.e. road and high speed rail). A bi-level optimization program has been realized. The variables of model are: fares and frequencies of airlines.

Operations researchBilevel optimization Game theory Airlines High speed railmedia_common.quotation_subjectBilevel optimizationMode (statistics)AirlinesBilevel optimizationHigh speed railTransport engineeringCompetition (economics)Settore ICAR/05 - TrasportiService (economics)General Materials ScienceBusinessGame theoryGame theorymedia_common
researchProduct

How do airlines preferences about engines influence the competition in the commercial aircraft industry: an empirical analysis

2011

This paper examines the competitive context in the commercial aircraft industry. In particular, the aim of the research here presented is to understand what are the main drivers influencing the choice of a specific engine manufacturer in an aircraft, and how such preferences influence the competition between Airbus and Boeing. In order to do that, we have collected data about the fleet composition of the top 25 airlines and we have located the main drivers influencing the engine configuration in: route specialization, business model and maintenance policy. Implications of such empirical findings in the competition among aircraft manufacturers are finally discussed.

Settore ING-IND/35 - Ingegneria Economico-GestionaleCommercial aircraft industry airlines fleet composition engine configuration
researchProduct