780 research outputs found

    Airline Quality and the Consumer Perception

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    Operational performance of the U.S. airline industry has been monitored for the past 27 years by a quantitative model of metrics known as the Airline Quality Rating. The National Airline Quality Rating (http://airlinequalityrating.com) sets the industry standard for comparing performance quality among U.S. airlines. Criteria included in the Airline Quality Rating (AQR) report are screened to meet two basic elements: (1) they must be readily obtainable from published data sources for each airline, and (2) they must be important to consumers regarding airline quality. Results from this report are retrieved from the April 2016 Airline Quality Rating Report

    Influence of Aerobic Exercise on Ghrelin-o-Acyltransferase in Normal Weight and Obese Adults: A Pilot Study

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    Please see the pdf version of the abstract

    Attentiveness on Airline Quality as Viewed by the Domestic Consumer

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    This study examines the relationship between the quantitative model of the Airline Quality Rating (AQR), and the qualitative model of the Airline Passenger Survey (APS). Operational performance of the U.S. airline industry has been monitored for the past 27 years by the Airline Quality Rating, and qualitative performance has been monitored for the past 6 years by the Airline Passenger Survey. The AQR provides consumers and aviation industry professionals a means to compare performance quality among U.S. airlines using objective, performancebased data. No other airline study in the country is based on performance measures. The APS was added as a new feature of the AQR in 2008 following increased interest in the relationship between consumer perceptions and objective airline industry performance. Results from this study were retrieved from data between the periods of 2008-2016 from the April 2016 Airline Quality Rating Report and the Airline Passenger Survey

    Airline Quality Research: a Student\u27s Perspective

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    This study examines the relationship between the Airline Quality Rating (AQR) and the Airline Passenger Survey (APS) from an undergraduate student’s perspective, as well as how conducting undergraduate research has influenced the student researcher. Operational performance of the U. S. airline industry has been monitored for the past 27 years by a quantitative model of metrics known as the Airline Quality Rating. These metrics include on - time flights, denied boardings, mishandled baggage, and customer complaints. As the nation’s most comprehensive study of airline performance and quality, the National Airline Quality Rating (http : //airlinequalityrating . com) sets an industry standard, providing consumers and aviation industry professionals a means to compare performance quality among U. S. airlines using objective, performance - based data. No other airline study in the country is based on performance measures . Criteria included in the Airline Quality Rating (AQR) report are screened to meet two basic elements : ( 1 ) they must be readily obtainable from published data sources for each airline, and ( 2 ) they must be important to consumers regarding airline quality. The APS was added as a new feature of the AQR in 2008 following increased interest in the relationship between consumer perceptions and objective airline industry performance. The student researcher has gained skills related to communication and collaboration with mentors, trend and data analysis within the aviation industry, as well as gave the student valuable experience to bring to research later on in their graduate career. Results were retrieved from the April 2016 Airline Quality Rating Report and the 2016 Airline Passenger Survey

    Social representations of HIV/AIDS in five Central European and Eastern European countries: A multidimensional analysis

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    Cognitive processing models of risky sexual behaviour have proliferated in the two decades since the first reporting of HIV/AIDS, but far less attention has been paid to individual and group representations of the epidemic and the relationship between these representations and reported sexual behaviours. In this study, 494 business people and medics from Estonia, Georgia, Hungary, Poland and Russia sorted free associations around HIV/AIDS in a matrix completion task. Exploratory factor and multidimensional scaling analyses revealed two main dimensions (labelled ‘Sex’ and ‘Deadly disease’), with significant cultural and gender variations along both dimension scores. Possible explanations for these results are discussed in the light of growing concerns over the spread of the epidemic in this region
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