Faculty Mentor Name
Brent Bowen, Jacqueline Luedtke
Format Preference
Poster
Abstract
The Airline Quality Rating (AQR) is the nation’s most comprehensive study of airline performance and quality for over two decades. The AQR sets the industry standard, providing consumers and industry watchers a way to compare performance quality among different US airlines using objective performance-based data (Bowen and Headley, 2014). The quantitative weighted average is computed monthly for every airline and divided by the sum of the weight to create the index. Criteria weighted in this formula include baggage handling, customer complaints, denied boarding and on time arrivals. This research employs the application of a longitudinal analysis methodology resulting in finding the correlation between factors including legislation, economic conditions, and changes in technology on the impact and performance of airlines in the domestic market. The objective of this research is to analyze the relationship of the mentioned factors with AQR to better understand the cyclical nature of airline performance in order to determine the influence of one on the other, and as a result, be able to better predict future changes in the airline market place. Through the analysis, airlines will be able to utilize this data to better understand the cyclical patterns of their perceived airline performance, which can be used to employ strategies, and forecast future market conditions influencing their ratings.
Poster Presentation
Invited Oral Presentation
IGNITE Grant Award
Location
AC1-Atrium, Eagle Gym
Start Date
3-23-2018 11:00 AM
End Date
3-23-2018 9:00 PM
Included in
Aviation Commons, Business Analytics Commons, Other Business Commons
A Longitudinal Analysis on the Cyclical Pattern of the US Airline Industry
AC1-Atrium, Eagle Gym
The Airline Quality Rating (AQR) is the nation’s most comprehensive study of airline performance and quality for over two decades. The AQR sets the industry standard, providing consumers and industry watchers a way to compare performance quality among different US airlines using objective performance-based data (Bowen and Headley, 2014). The quantitative weighted average is computed monthly for every airline and divided by the sum of the weight to create the index. Criteria weighted in this formula include baggage handling, customer complaints, denied boarding and on time arrivals. This research employs the application of a longitudinal analysis methodology resulting in finding the correlation between factors including legislation, economic conditions, and changes in technology on the impact and performance of airlines in the domestic market. The objective of this research is to analyze the relationship of the mentioned factors with AQR to better understand the cyclical nature of airline performance in order to determine the influence of one on the other, and as a result, be able to better predict future changes in the airline market place. Through the analysis, airlines will be able to utilize this data to better understand the cyclical patterns of their perceived airline performance, which can be used to employ strategies, and forecast future market conditions influencing their ratings.
Poster Presentation
Invited Oral Presentation
IGNITE Grant Award