Results 191 to 200 of about 223,417 (240)
Some of the next articles are maybe not open access.

Disentangling consumer recommendations: Explaining and predicting airline recommendations based on online reviews

Decision Support Systems, 2018
Consumer recommendations of products and services are important performance indicators for organizations to gain feedback on their offerings. Furthermore, they are important for prospective customers to learn from prior consumer experiences.
Michael Siering   +2 more
semanticscholar   +1 more source

Airline Network Design

Operations Research, 1998
The goal of this paper is to understand choices of networks and schedules by a profit maximizing airline. By “network” we mean the routing pattern for planes and by “schedule” we mean the frequency of service between cities and the amount of time put into the schedule to assure on-time arrival. This paper analyzes network and schedule choice using an “
Lederer, Phillip J.   +1 more
openaire   +2 more sources

Determinants of customer satisfaction with airline services: An analysis of customer feedback big data

Journal of Retailing and Consumer Services, 2019
Given that the global airline industry is considered one of the most competitive markets, numerous attempts have been made to explore strategies for success in this industry.
Eunil Park   +5 more
semanticscholar   +1 more source

Sentiment Classification System of Twitter Data for US Airline Service Analysis

Annual International Computer Software and Applications Conference, 2018
The airline industry is a very competitive market which has grown rapidly in the past 2 decades. Airline companies resort to traditional customer feedback forms which in turn are very tedious and time consuming.
Ankita Rane, Anand Kumar
semanticscholar   +1 more source

Modelling the delay propagation effects of multiple resource connections in an airline network using a Bayesian network model

Transportation Research Part E: Logistics and Transportation Review, 2019
We developed an airline network delay propagation model using a Bayesian Network in a delay-tree framework, accounting for multiple connecting sources of an airline including aircraft, crew connections, and passenger connections.
Cheng-Lung Wu, K. Law
semanticscholar   +1 more source

A comparative study of airline efficiency in China and India: A dynamic network DEA approach

Research on Transport Economics, 2019
Using a dynamic network DEA approach, this research examines the efficiency performance of major Chinese and Indian air carriers with a consideration of the airline's internal processes and links as well as the carry-over items that connect consecutive ...
Hang Yu   +4 more
semanticscholar   +1 more source

An analysis of key factors of financial distress in airline companies in India using fuzzy AHP framework

Transportation Research Part A: Policy and Practice, 2018
The aviation industry in India is on a growth path with annual passenger traffic growing at over fifteen percent. The government has backed this growth through the extensive development of airport infrastructure across the country.
Umesh S. Mahtani, Chandra Prakash Garg
semanticscholar   +1 more source

Flying with(out) a safety net: Financial hedging in the airline industry

Transportation Research Part E: Logistics and Transportation Review, 2019
This paper re-examines risk management theories in the airline context and investigates whether financial hedging (fuel, foreign exchange and interest rates) is an effective strategy for enhancing operational profitability.
Rico Merkert, H. Swidan
semanticscholar   +1 more source

Impact of oil price change on airline's stock price and volatility: Evidence from China and South Korea

Energy Economics, 2019
Generally, the influence of crude oil price on the industries (enterprises) varies because they have different levels of reliance on crude oil. For airlines, the expenditure on fuel accounts for a considerable proportion of their gross costs; thus ...
X. Yun, Seong‐Min Yoon
semanticscholar   +1 more source

Modeling the resilience of an airline cargo transport network affected by a large scale disruptive event

, 2019
This paper presents modeling the resilience of an airline cargo transport network affected by a given (large scale) disruptive event. The airports represent the nodes and the air routes and flights between them the links of the network.
M. Janić
semanticscholar   +1 more source

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