Developing a strategic framework for airline destination selection: A multi-criteria decision-making approach applied to Turkish airlines by Filiz Mizrak, Kagan Cenk Mizrak, Gonca Reyhan Akkartal

“…The purpose of this study is to develop a comprehensive decision-making framework that airlines can use to strategically select new destinations, demonstrated here with a case application for Turkish Airlines. …”
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Introducing a Coopetition Model for Domestic Airlines in Iran by Saedeh Ghayourisales, Mohsen Nazari, Mohammadali Shahhoseini

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Airline Ticket Reservation System For Kampala Executive Aviation. by Magezi, David

Subjects: “…Airline…”
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Prioritize Effective Factors of Scheduling in Tehran Metro Station with Fuzzy TOPSIS Model by Vinh Phuc Dung, Minh Tien Nhung

“…Most of the methods that led to optimization in routing in the past, both in the airline and on the ground, are based on smart methods. …”
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Transformation of business under the influence of artificial intelligence by Buha Vesna, Lečić Rada, Berezljev Ljiljana

“…Examples of good business practices such as AI in customer service provide answers to these and other research questions. The Dutch airline company KLM Royal Dutch Airlines has introduced "AI - assisted human agent". …”
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Analisis Sentimen Maskapai Penerbangan Menggunakan Metode Naive Bayes dan Seleksi Fitur Information Gain by Arif Bijaksana Putra Negara, Hafiz Muhardi, Indira Melinda Putri

“…Therefore sentiment analysis is designed to help classify reviews into positive or negative categories so that they can provide airline recommendations based on the number of review categories. …”
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What Trucking Deregulation Did for Florida's Produce and Ornamentals by Richard Beilock

“…Prior to that time, trucking firms had to seek federal permission to haul many types of cargoes and there were restrictions on the rates that could be charged (note: in practice, rate restrictions prevented carriers from lowering their charges more often than the reverse). Deregulation of airlines occurred about the same time. Whenever a flight is delayed or a meal is either absent or not up to expectations, everyone loves to blame it on deregulation, rightly or wrongly. …”
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A Collection of Machine Learning Models for Improved Airport Operations Amidst Adverse Weather Conditions by Ramon Dalmau, Jonathan Attia

“…By seamlessly integrating these three models, the system serves as an effective tool for airport operators and airlines. It enables operational optimisation and the development of strategic plans to mitigate the effects of increasing weather-related disruptions. …”
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Impacts of PM on Indoor Air Quality of Airport Terminal Buildings in a Core City of North China Plain by Yunting Zhao, Wenhui Zheng, Simeng Ma, Weikai Kong, Bo Han, Jian Yu

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