Relevant bibliographies by topics / Jetblue Airlines Booking Number

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Academic literature on the topic 'Jetblue Airlines Booking Number'

Author: Grafiati
Published: 28 July 2024
Last updated: 31 July 2025

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Journal articles on the topic "Jetblue Airlines Booking Number"

1

Wu, Tong. "Research of Customer Satisfaction in Aviation." Advances in Economics, Management and Political Sciences 4, no. 1 (2023): 24–31. http://dx.doi.org/10.54254/2754-1169/4/20221011.

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There has been a drastic increase in the number of people using air as a transport model across the world. Globalization has triggered rapid increase in the international travel which is offered by various airlines which has resulted to competition. This implies that customer satisfaction is key. The research aimed at establishing customer satisfaction in the aviation industry. Data from cross-sectional data from different airlines. The data is obtained from a Brazilian public dataset. The data has been analyzed using SPSS Software regression analysis, descriptive analysis, extraction method,
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Godwin, T. "An Empirical Analysis of Delhi - Mumbai Sector Flight Fares." International Journal of Business Analytics 4, no. 4 (2017): 60–78. http://dx.doi.org/10.4018/ijban.2017100104.

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Revenue management is the art and science of making the right product or service available to the right customer at the right time through the right channel at right price. Dynamic pricing plays a crucial role in the implementation of revenue management in passenger airline reservation system. The liberalization of domestic aviation sector in countries such as India has seen many new market entrants resulting in higher competition while setting the flight fares. The variation in flight fares of Delhi – Mumbai passenger airline sector is studied for a departure date based on the number of days
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3

Rohani, Elisa Dwi, and Reza Destiani. "Prosedur Pelayanan Tiket Pesawat Domestik Garuda Indonesia Di Pt. Dymens Travel Bureau." Jurnal Pariwisata Terapan 1, no. 2 (2017): 129. http://dx.doi.org/10.22146/jpt.30155.

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Garuda Indonesia as national airlines in Indonesia have integrated reservation system. PT. Dymens Travel Bureau, as travel agent which provides Garuda Indonesia’s ticket sales as their main product, implemented this system. This reservation system have some steps that must be done correctly. Besides the system itself, agent must provide equipment such as computers with stable internet connection, staff with high computer and airlines sytem literacy. The aim of this paper is to analyse Garuda Indonesia’s online system ticket reservation at PT. Dymens Travel Bureau. Reservation system is complex
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4

Pringgodigdoyo, Prapatantio Teteg, and Adi Nurmahdi. "ANALYSIS OF PURCHASE DECISION MODEL TOWARDS AIRLINES TICKET BOOKING IN TRAVELOKA (MERCU BUANA UNIVERCITY CASE STUDY)." Indikator: Jurnal Ilmiah Manajemen dan Bisnis 6, no. 1 (2022): 131. http://dx.doi.org/10.22441/indikator.v6i1.8344.

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Traveloka is an airline ticket purchase application that has the most visitors in Southeast Asia, but starting in the first quarter of 2019 they experienced a decline in the number of visitors. The decline in the number of visitors was the most contributed by application users from Indonesia. The decline in the number of visitors is a phenomenon that needs attention because it can potentially affect ticket sales through the application. there are several factors that influence the pattern of ticket purchases through online applications, including internet knowledge, service quality, prices, tr
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Subramani, BS, R. Rohan, Prasanna P. Tejas, Pavan P, Deepak N. R. Dr., and B. Omprakash. "Predicting Flight Prices by using Neural Networks and Regression." Research and Applications of Web Development and Design 8, no. 2 (2025): 26–34. https://doi.org/10.5281/zenodo.15315454.

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<em>The objective of the Flight Fare Prediction System is to help travellers plan their trips and manage their finances by offering accurate estimates of flight ticket prices. Frequent variations in airfare for the same flight often pose challenges for securing economical options. This predictive model resolves such issues by estimating ticket prices, helping users save money and understand price trends better. </em><em>The strategy makes use of sophisticated machine learning techniques and historical flight data</em><em> to ensure dependable fare predictions. Key factors, such as departure ti
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Zhang, Chunxiao, Congrong Guo, and Shenghui Yi. "Airline Overbooking Problem with Uncertain No-Shows." Journal of Applied Mathematics 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/304217.

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This paper considers an airline overbooking problem of a new single-leg flight with discount fare. Due to the absence of historical data of no-shows for a new flight, and various uncertain human behaviors or unexpected events which causes that a few passengers cannot board their aircraft on time, we fail to obtain the probability distribution of no-shows. In this case, the airlines have to invite some domain experts to provide belief degree of no-shows to estimate its distribution. However, human beings often overestimate unlikely events, which makes the variance of belief degree much greater
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7

Dr.A.Shaji, George. "Personal Privacy at Risk: The Security Threats of Sharing Boarding Passes Online." Partners Universal International Research Journal (PUIRJ) 03, no. 04 (2024): 24–40. https://doi.org/10.5281/zenodo.14503012.

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With approximately 140,000 images tagged with #boardingpass on Instagram alone, social media distribution of boarding passes has become somewhat popular. Still, these apparently innocent images might expose travelers to major security and privacy violations by allowing hackers and fraudsters access to private data. A boarding pass typically includes the passenger's full name, frequent traveler number, flight details (number, date, time, seat, class of service), and the booking reference or PNR number. Cybercriminals have the ability to modify flight reservations and even terminate them using t
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8

Huettinger, Maik, and Benas Adomavičius. "A FRAMEWORK FOR ASSESSING THE LOW-FARE MODEL IN THE AIRLINE INDUSTRY." Ekonomika 90, no. 1 (2011): 115–30. http://dx.doi.org/10.15388/ekon.2011.0.952.

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Despite the popularity of the “low-fare” (or sometimes called “no-frills”) airline business model, no comprehensive framework has ever been developed to evaluate the level of implementation of this business model. In the paper, we propose a framework for evaluating the extent to which an airline has implemented a “low-fare” business model. The framework (SFC) consists of three dimensions: (a) strategic direction factors; (b) pricing factors; (c) cost structure factors (COFA).Strategic direction factors primarily focus on the top-level strategic decisions of an airline: growth concepts, the ran
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Negara, Arif Bijaksana Putra, Hafiz Muhardi, and Indira Melinda Putri. "Analisis Sentimen Maskapai Penerbangan Menggunakan Metode Naive Bayes dan Seleksi Fitur Information Gain." Jurnal Teknologi Informasi dan Ilmu Komputer 7, no. 3 (2020): 599. http://dx.doi.org/10.25126/jtiik.2020711947.

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&lt;p class="Abstrak"&gt;Zaman sekarang tren masyarakat untuk memesan tiket pesawat sudah melalui situs-situs &lt;em&gt;booking&lt;/em&gt; &lt;em&gt;online&lt;/em&gt;. Pegipegi.com merupakan salah satu &lt;em&gt;website&lt;/em&gt; yang menyediakan pemesanan tiket dan menyediakan fitur ulasan bagi pengunjung untuk menyampaikan opini. Pengunjung lain yang membaca ulasan-ulasan tersebut dapat memperoleh gambaran secara lebih objektif mengenai maskapai penerbangan. Ulasan pengguna yang terdapat pada website pegipegi.com saat ini sudah sangat banyak sehingga hal ini menyulitkan dan memakan waktu un
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10

Vasallo, Carlos María. "La medicina frente al contrato de transporte aéreo. / Medicine and the air transportation contract." Revista de Derecho Privado │Universidad Blas Pascal 8, no. 8 (2022): 74–109. http://dx.doi.org/10.37767/2362-5325(2021)004.

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El crecimiento exponencial de la cantidad de pasajeros que se transportan por vía aérea en el mundo, que este año 2016 superarán los 3.500 millones en más de cien mil vuelos diarios. Nos encontramos ante la masificación del transporte aéreo aparecida en la última parte de la década del 70 de la mano de la operación de los aviones de cabina ancha, tipo Boeing 747 JUMBO, y MCDouglas DC10, entre los más conocidos de esa época. Esas aeronaves elevaron la capacidad que hasta ese momento era de unos 170 pasajeros por avión, a más del doble, y actualmente con las súper aeronaves Airbus A380 y Boeing
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Books on the topic "Jetblue Airlines Booking Number"

1

🧮🏩Jetblue Airlines Cheap Flight 🏩1*844-919-4592 🏩Reservations Number🧮🏩. richielawrie, 2023.

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🌺🌸Jetblue Flight🎇📲+1[8449194592]📲🎇Tickets Reservation Number🌷🥀. richielawrie, 2023.

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📲JetBlue Airlines 📲1-844-919-4592📲 New Flight Booking Number📲. anthonyrayparker1, 2023.

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(JetBlue Airlines Ticket 👾844»919«4592🏆🤖 Booking Number)🤖. jamespatrickpitt, 2022.

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JETBLUE 👺AIRLINES ꧁ (844) 919(4592) ꧂ FLIGHT 🛃RESERVATION NUMBER⚡. doncheadle60, 2022.

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#$JetBlue👺Airlines #$1844-919-4592$# 🛃Reservation Number$#. Penguin, 2022.

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Jetblue airlines 1-844-919-4592 phone number. winstonduke17, 2022.

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🏰Jetblue Airlines🌟18449194592🌟Flight Change Contact Desk Number🏰: Jetblue Airlines reservations Number +1-844-919-4592. anthonyrayparker1, 2023.

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United Airlines Booking 832-645-0001 Number. Nartia, 2021.

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Jetblue Airlines Reservations ☎ +1(844-919-4592) ☎ Number. winstonduke17, 2022.

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Book chapters on the topic "Jetblue Airlines Booking Number"

1

Godwin, T. "An Empirical Analysis of Delhi - Mumbai Sector Flight Fares." In Research Anthology on Reliability and Safety in Aviation Systems, Spacecraft, and Air Transport. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-5357-2.ch062.

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Revenue management is the art and science of making the right product or service available to the right customer at the right time through the right channel at right price. Dynamic pricing plays a crucial role in the implementation of revenue management in passenger airline reservation system. The liberalization of domestic aviation sector in countries such as India has seen many new market entrants resulting in higher competition while setting the flight fares. The variation in flight fares of Delhi – Mumbai passenger airline sector is studied for a departure date based on the number of days
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2

Kaur, Mandeep, Uma Pandey, and Amandeep Kaur. "Leveraging AI for 24/7 Support." In Advances in Hospitality, Tourism, and the Services Industry. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-6755-1.ch016.

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Throughout the post-pandemic period, the hospitality and tourism industry has experienced phenomenal growth in the number of customers with a growing need for excellent customer service. In the tourism and hospitality industry, customer service may be revolutionized in the hotel business by implementing chatbots. These AI chatbots increase client trust through customization, anonymity, and empathetic answers. Their advantages, including contextual awareness and natural language processing, are revolutionizing how consumers look for information and make decisions. Their perceived usefulness, hu
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Conference papers on the topic "Jetblue Airlines Booking Number"

1

Otsuka, Emiri, and Namgyu Kang. "Usability of Booking a Flight Ticket Using Airline Applications on Smartphones." In AHFE 2023 Hawaii Edition. AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1004245.

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In recent years, using online has emerged as the predominant method to book an airline ticket. Following the COVID-19 pandemic, there has been a surge in the popularity of small-group travel in Japan, leading to an increasing number of smartphone users booking tickets. Consequently, the user-friendliness of airline applications profoundly impacts users' willingness to make purchases. This study aimed to visualize challenges and areas for improvement in airline ticket reservations focused on Japan Airlines and Thai Airways. Therefore, experimental investigations were conducted using these smart
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