Defense Travel System (DTS) Airline Ticket Price Analysis: Do DTS Ticket Prices Differ From Other Online Tickets Available for Naval Postgraduate School Travelers

2007 ◽  
Author(s):  
Alan F. Copeland ◽  
Dorinda M. Mazza
2019 ◽  
Vol 4 (2) ◽  
pp. 317-328
Author(s):  
Rizki Nurul Nugraha ◽  
Tine Yuliantini ◽  
Subur Karyatun

This research will explain tourism trends in Jakarta and various information related to obstacles that occur in the field. As a leading tourist area, DKI Jakarta can provide more complete information about tourist characteristics. A qualitative approach is used by taking respondents as many as 100 archipelago tourists and 10 Tourism Services Industry using accidental sampling, with one shot time method, where time is used only one time. The results of the study identified constraints in marketing in Jakarta, including airline ticket prices, relatively high tour package prices, low demand, and media competition. The implications and suggestions are explained in the article. Keywords: Jakarta tourism, market characteristics


Author(s):  
Evon M. O. Abu-Taieh

This chapter pinpoints the affects of information technology on the aviation industry, specifically on the Airline ticket prices. The chapter first introduces the different costs that comprise the airline ticket. Then the chapter introduces the different information technology systems that are used in the aviation industry which in turn reduces the price of the airline ticket.


Author(s):  
Udinelli Alves ◽  
Mauro Caetano

This study provides an analysis of airline ticket price and its determinants, such as operating costs, supply and demand. The research aimed to establish the relationship between ticket price and these influencing variables, using a correlation method to verify their effect. A linear regression model was developed using the least squares method to explain whether a causal relationship exists between the variables. The results show that, although a relationship does exist between airline ticket price and operating costs, it is overshadowed by the fact that the main determinant of pricing is explained by the relationship between supply and demand.*******************************************************************************************************************Preços de passagens aéreas analisados sob a perspectiva dos custos operacionais, oferta e demanda resumo Este estudo fornece uma análise do preço do bilhete de avião e seus determinantes, tais como os custos operacionais, a oferta e a demanda. O objetivo desta pesquisa consiste em determinar qual é a relação entre o preço do bilhete, o que a determina e qual destas variáveis a afetam, usando um método de correlação. Um modelo de regressão linear foi elaborado usando o método dos mínimos quadrados para explicar se existe uma relação causal entre as variáveis. Os resultados mostram que, apesar de existir uma relação entre o custo dos bilhetes de avião e os custos operacionais, essa relação é ofuscada devido ao fato de que o principal determinante do preço do bilhete é explicado pela relação entre a oferta e a demanda.Palavras-chave: indústria aérea; custos; demanda; preço.


2015 ◽  
Vol 47 ◽  
pp. 48-53 ◽  
Author(s):  
José-Luis Alfaro Navarro ◽  
María-Encarnación Andrés Martínez ◽  
Jean-François Trinquecoste

2015 ◽  
Vol 9 (3) ◽  
pp. 353-366 ◽  
Author(s):  
Tomasz Stanisław Szopiński ◽  
Robert Nowacki

Introduction: The process of going to the soccer stadiums, is pointed as a leisure activity of society, for such, this phenomenon is responsible for providing profits to clubs since ticket sales is one of the main sources of revenue in soccer. Therefore, when enjoying the spectacle, the fan is likely to receive numerous stimuli due to the atmosphere found in soccer stadiums. Therefore, it is the clubs' mission to aim at pleasing their consumers, aiming at the acquisition of their products and services. Therefore, we find in the sports marketing literature the behavioral intentions, which provide information about the supporters' future intentions towards their club. However, there are still no indications that map the role of stadium atmosphere and ticket price on behavioral intentions, in the soccer field. Objective: To review the role of stadium atmosphere and ticket price on the behavioral intention of Soccer spectators. Methodology: This is a systematic review, following PRISMA protocol suggestions, using Scopus, Web of Science, and EBSCO host databases. We used a search model with descriptors for groups related to ticket prices and stadium atmosphere, plus a group related to behavioral intentions and soccer. Original studies published in English or Portuguese up to September 30, 2020, were considered; the year of publication was not restricted. Moreover, the studies that were unrelated to the theme and duplicated were removed. A total of 732 studies, with 02 being eligible for this review. Results: As investigated, the atmosphere of the stadiums is able to impact on behavioral intentions, being the positive experience corresponding to a higher content of return to the stadiums, however, the fan does not get their emotional needs met while the atmosphere prior, can direct the same to a negative significance in relation to behavioral intention. As for the ticket price, it had a positive significance when compared to behavioral intentions. Discussion: Focusing on this significance, the positive experiences and the price paid for tickets in an event can play an intentional repurchase behavior. It is worth noting the context in which the analysis is employed since the local culture can influence consumer perception regarding the desired experiences at the spectacle. Conclusion: The stadiums' atmosphere and the ticket prices structure themselves as a relevant factor in the behavioral intentions of soccer fans.


2012 ◽  
Vol 26 (6) ◽  
pp. 532-546 ◽  
Author(s):  
Stephen L. Shapiro ◽  
Joris Drayer

In 2010, the San Francisco Giants became the first professional team to implement a comprehensive demand-based ticket pricing strategy called dynamic ticket pricing (DTP). In an effort to understand DTP as a price setting strategy, the current investigation explored Giants’ ticket prices during the 2010 season. First, the relationship between fixed ticket prices, dynamic ticket prices, and secondary market ticket prices for comparable seats were examined. In addition, seat location and price changes over time were examined to identify potential effects on ticket price in the primary and secondary market. Giants’ ticket price data were collected for various games throughout the 2010 season. A purposive selection of 12 games, which included (N= 1,316) ticket price observations, were chosen in an effort to include a multitude of game settings. Two ANOVA models were developed to examine price differences based on pricing structure, market, section, and time. Findings showed significant differences between fixed ticket prices, dynamic ticket prices, and secondary market ticket prices, with fixed ticket prices on the low end and secondary market ticket prices on the high end of the pricing spectrum. Furthermore, time was found to have a significant influence on ticket price; however, the influence of time varied by market and seat location. These findings are discussed and both theoretical and practical implications are considered.


2020 ◽  
Vol 4 (1) ◽  
pp. 1-4
Author(s):  
Muji Setiyo ◽  
Budi Waluyo

It has been a year after the announcement of Covid-19 outbreak in Wuhan. Activity restriction, implementation of health protocol, and lock-down are enforced to cut-off the spread of this virus. However, in the uncertainty towards a new normal, the mobility of people continues for various purposes. A rapid medical check-up at the airport or at railway stations is possible by the local authorities but it is impossible for public bus passengers due to the limitations of medical staff and a large number of bus stations. Most passengers also failed to comply with the government's recommendation to conduct a rapid test before using public buses. As anticipation, the Transportation Agency issued a regulation that all buses can only be filled with 50% (max) of their normal capacity by emptying 2 of the 4 seats in a row. As a consequence, a 32-seat bus can only be filled with 16 passengers (max) and the ticket price has doubled to cover operational costs. However, passenger interest in bus services has decreased due to high ticket prices. Therefore, this short article reports the smart actions of several bus companies in Indonesia to create a "Captain Seat", a 1-1-1 bus seat configuration to ensure physical distancing between passengers. With the captain seat model, buses with 32 seats are modified to 24 seats, the ideal distance between passengers during a pandemic can be maintained, the risk of loss to bus companies can be reduced, and passenger costs can be lowered.


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