A fully fuzzy network DEA-Range Adjusted Measure model for evaluating airlines efficiency: A case of Iran

Heydari, Chiman; Omrani, Hashem; Taghizadeh, Rahim

doi:10.1016/j.jairtraman.2020.101923

Cited by 53 publications

(15 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In recent years, studies examining the operational and financial efficiency of airline companies show that besides multi-criteria decision making methods (Pineda et al, 2018;Bakır et al, 2020;Kiracı and Bakır, 2020), slack-based (Chang et al, 2014), network (Lin and Hong, 2020) and fuzzy (Heydari et al, 2020) data envelopment analysis models are used.…”

Section: Literaturementioning

confidence: 99%

Financial Efficiency Measurement in Airlines and Determining Factors of Efficiency

Asker¹,

Aydin²

2021

Alanya Akademik Bakış

View full text Add to dashboard Cite

The aim of the study is to compare airlines by carrying out measurement of efficiency of them obtaining different business models in terms of financial. The other aim is to reveal variables which have influence on score of efficiency. With this regard, airlines are separated into two groups, namely, traditional and low-cost airlines based on their business models. While the measurement of traditional and low-cost airlines efficiency was carried out with Data Envelopment Analysis, factors affecting efficiency scores of airlines were determined by Tobit regression model. According to the results of the study, airlines obtaining low-cost business model are more efficient than airlines obtaining traditional business model in terms of financial. Moreover, large-scale traditional airlines are more efficient than medium-scale traditional airlines. In terms of Tobit regression model, there are different results for two groups. INTRODUCTIONAir transportation, which appeared in 1990s and firstly was used for military purposes, started to be used for civil purposes with converting military aircraft into passenger aircraft after the Second World War. However, the development of air transportation was affected negatively by strict regulations in its first periods. First of all, with the deregulation movement which occurred in the United States of America in 1978, it can be said that the number of regulations curbing the development of air transportation have started to decrease. In the following years,

show abstract

Section: Literaturementioning

confidence: 99%

Financial Efficiency Measurement in Airlines and Determining Factors of Efficiency

Asker¹,

Aydin²

2021

Alanya Akademik Bakış

View full text Add to dashboard Cite

show abstract

“…applied the Virtual Frontier SBM model to discuss the effect of carbon dioxide emissions on the efficiency of 22 airlines with strong and weak disposability. Heydari et al (2020) proposed a fully-fuzzy network RAM model for evaluating 14 Iranian airlines and extended the network RAM model under the fully-fuzzy framework. Finally, Chen et al ( 2021) introduced the two-stage adverse Network Slack-Based Measure (NSBM) method to explore the efficiency of the production stage and profit stage of 9 Chinese airlines.…”

Section: Literature Reviewmentioning

confidence: 99%

Exploring the Effect of COVID-19 on Airline Environmental Efficiency Through an Interval Epsilon-based Measure Model

Huang

Cui³

2021

Preprint

View full text Add to dashboard Cite

COVID-19 has dealt an unprecedented blow to the aviation industry since 2020. This paper applies the Interval Epsilon-Based Measure (IEBM) model to evaluate the optimal quarterly environmental efficiency of 14 global airlines of passenger and cargo subsystems during 2018-2020. Then, the Time Series Prediction method is applied to forecast the interval data of inputs and outputs from 2021 to 2022 and calculate the quarterly efficiency. Thus, the future development trends of airlines can be predicted. Furthermore, the results accord with reality can verify the credibility and accuracy of the model. Furthermore, the results show that: 1. COVID-19 has hit the passenger subsystem harder, while the freight subsystem has become more efficient; 2. The efficiency of the freight subsystem has inevitably declined in the post-epidemic era; 3. Therefore, the airlines will have a “√” shaped recovery curve in the next few years.

show abstract

“…Cui et al ( 2018 ) applied the virtual frontier SBM model to discuss the effect of carbon dioxide emissions on the efficiency of 22 airlines with strong and weak disposability. Heydari et al ( 2020 ) proposed a fully fuzzy network RAM model for evaluating 14 Iranian airlines and extended the network RAM model under the fully fuzzy framework. Finally, introduced the two-stage adverse network slack-based measure (NSBM) method to explore the efficiency of the production stage and profit stage of 9 Chinese airlines.…”

Section: Literature Reviewmentioning

confidence: 99%

Exploring the effect of COVID-19 on airline environmental efficiency through an interval epsilon-based measure model

Huang

Cui

2021

Environ Sci Pollut Res

View full text Add to dashboard Cite

A fully fuzzy network DEA-Range Adjusted Measure model for evaluating airlines efficiency: A case of Iran

Cited by 53 publications

References 33 publications

Financial Efficiency Measurement in Airlines and Determining Factors of Efficiency

Financial Efficiency Measurement in Airlines and Determining Factors of Efficiency

Exploring the Effect of COVID-19 on Airline Environmental Efficiency Through an Interval Epsilon-based Measure Model

Exploring the effect of COVID-19 on airline environmental efficiency through an interval epsilon-based measure model

Contact Info

Product

Resources

About