Relevant bibliographies by topics / Airline check-in agents

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Academic literature on the topic 'Airline check-in agents'

Author: Grafiati
Published: 4 June 2021
Last updated: 28 July 2025

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Journal articles on the topic "Airline check-in agents"

1

Azzolina, Stefano, Manuel Razza, Kevin Sartiano, and Emanuel Weitschek. "Price Discrimination in the Online Airline Market: An Empirical Study." Journal of Theoretical and Applied Electronic Commerce Research 16, no. 6 (2021): 2282–303. http://dx.doi.org/10.3390/jtaer16060126.

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Big Data technologies have significantly increased the possibility for sellers to adopt personalisation strategies, especially in digital markets. Among such strategies, price discrimination, a practice where the same commodity is sold at different prices, either to the same customer or to different customers, stands out. Particularly, the online airline ticket market has risen the attention of economists in recent studies, both because of its specificity and of the high data availability. This manuscript enters the debate and analyses the airline ticket market in an original way. Indeed, the
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2

Poullet, Julie, and Axel Parmentier. "Shift Planning Under Delay Uncertainty at Air France: A Vehicle-Scheduling Problem with Outsourcing." Transportation Science 54, no. 4 (2020): 956–72. http://dx.doi.org/10.1287/trsc.2019.0960.

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Airlines must operate many jobs in airports, such as passenger check-in or runway tasks. In airlines’ hubs, airlines generally choose to perform these jobs with their own agents. Shift planning aims at building the sequences of jobs operated by the airline agents and has been widely studied given its impact on operating costs. The impact of delayed flights is generally not taken into account despite the propagation of flight delays along these sequences: If a flight is late, then the agents doing the corresponding jobs are delayed, and may arrive late to their next jobs and delay the correspon
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3

Yuliana, Dina, and Endang Dwi Agustini. "Evaluasi Penyelenggaraan Angkutan Udara Lebaran 2009 di Bandara Internasional Sultan Hasanuddin Makassar." WARTA ARDHIA 35, no. 4 (2009): 150–61. http://dx.doi.org/10.25104/wa.v35i4.72.150-161.

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The number of passenger air transport movements during Lebaran 2009 in Sultan International Airport Makassar reached 126,907 passengers, or up 126.91% from the previous year. Institutions associated with the implementation of transport Lebaran is Adbandara, PT. Angkasa Pura I (Persero), Police, TNI-AU, Public Health, Security and Scout. Problems in implementation include the supervision of the airlines to travel agents about searching Seat -is very weak resulting in user satisfaction lack of air transport services with information assurance seats, the plane delays still occur either because of
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4

Azzolina, Stefano, Manuel Razza, Kevin Sartiano, and Emanuel Weitschek. "Price Discrimination in the Online Airline Market: An Empirical Study." September 9, 2021. https://doi.org/10.3390/jtaer16060126.

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Abstract:
Big Data technologies have significantly increased the possibility for sellers to adopt personalisation strategies, especially in digital markets. Among such strategies, price discrimination, a practice where the same commodity is sold at different prices, either to the same customer or to different customers, stands out. Particularly, the online airline ticket market has risen the attention of economists in recent studies, both because of its specificity and of the high data availability. This manuscript enters the debate and analyses the airline ticket market in an original way. Indeed, the
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5

Carbo, Javier, Pi Nayat Sanchez, and Jose Manuel Molina. "Agent-based simulation with NetLogo to evaluate ambient intelligence scenarios." Journal of Simulation 12, no. 1 (2018). https://doi.org/10.1057/jos.2016.10.

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In this paper an agent-based simulation is developed in order to evaluate an Ambient Intelligence scenario based on agents. Many AmI applications are implemented through agents but they are not compared with any other existing alternative in order to evaluate the relative benefits of using them. The proposed simulation environment analyses such benefits using two evaluation criteria: First, measuring agent satisfaction of different types of desires along the execution. Second, measuring time savings obtained through a correct use of context information. In this paper an existing agent architec
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6

Smith, Wayne. "Cyber security in airports." Journal of Airport Management, June 1, 2015. http://dx.doi.org/10.69554/wfxo4100.

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When it comes to cyber security, many organisations only have to consider their own physical, or logical, boundaries. They may have limited connectivity to a supply chain, but they can control who or what is able to access their systems. Meanwhile, airports have a more complex set of connectivity issues. Imagine a situation where a passenger arrives at an airport to find that their flight is delayed due to a cyber incident. Their initial reaction may be to blame the airport, but there are many other systems involved with getting passengers and their bags onto a flight, and getting the aircraft
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7

manu. "i like it." August 5, 2023. https://doi.org/10.9783/new.story.

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Financial and Economic Datasets in AI Training: Unveiling the Power of Data-driven Insights The rapid advancements in Artificial Intelligence (AI) and Machine Learning (ML) have transformed various industries, with finance and economics being no exception. The integration of financial and economic datasets in AI training has opened up a plethora of opportunities to gain valuable insights, optimize decision-making processes, and uncover hidden patterns. This article delves into the diverse uses of financial and economic datasets in AI training and their pivotal role in reshaping the financial l
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Books on the topic "Airline check-in agents"

1

Rosskam, Ellen, and Ray H. Elling. Excess Baggage: Leveling the Load and Changing the Workplace. Taylor & Francis Group, 2018.

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Rosskam, Ellen, and Ray H. Elling. Excess Baggage: Leveling the Load and Changing the Workplace. Taylor & Francis Group, 2018.

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Rosskam, Ellen, and Ray H. Elling. Excess Baggage: Leveling the Load and Changing the Workplace. Taylor & Francis Group, 2018.

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4

Nakagawa, Hirotaka. Otonosama, hikōki ni noru. 2014.

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Rosskam, Ellen, and Ray H. Elling. Excess Baggage: Leveling the Load and Changing the Workplace. Taylor & Francis Group, 2018.

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Rosskam, Ellen, and Ray H. Elling. Excess Baggage: Leveling the Load and Changing the Workplace. Taylor & Francis Group, 2018.

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7

Excess Baggage: Leveling the Load and Changing the Workplace. Baywood Pub Co, 2007.

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