Productivity and Efficiency Measurement of Airlines: Data Envelopment Analysis using R - Brossura

Lee

Brossura

ISBN 10: 0128126965 ISBN 13: 9780128126967

Casa editrice: Elsevier, 2023

Riassunto

In today’s competitive environment, airlines are doing everything they can to improve efficiency and productivity. Productivity and Efficiency Measurement of Airlines: Data Envelopment Analysis using R identifies and explains sources of airline efficiency and helps achieve these goals through the use of state-of-the-art measurement techniques.

Each chapter measures airline performance through the data envelopment analysis (DEA) model and other DEA variants. This book thoroughly discusses topics such as cost and revenue efficiency performance, carbon emissions performance management, and complex airline data analysis, employing appropriate models for each. Model methodologies are also discussed. The in-depth coverage is useful for all audiences, including students with a basic understanding of models, researchers and airline operators and management.

Productivity and Efficiency Measurement of Airlines: Data Envelopment Analysis using R provides R codes to help readers generate results and quantify efficient practices. These results provide airline decision-makers with the essential information they need to create better policies and avoid underperforming practices.

Su questo libro

Informazioni sull?autore

Boon Lee is Associate Professor in economics at the Queensland University of Technology, Faculty of Business and Law, in Brisbane, Australia. His primary research interest focuses on eco-efficiency, efficiency and productivity analysis with a focus on key service industries, such as the airline industry and higher education. He is experienced in the application of data envelopment analysis (DEA) in measuring efficiency of firms and has published several articles on efficiency and productivity of airlines, including in Elsevier’s
Journal of Air Transport Management. He has widely published in international journals including Journal of Development Economics, Energy Economics, Tourism Management, OMEGA, Economics of Education Review, Journal of Productivity Analysis, Agricultural Economics, Ecological Economics, Land Use Policy and Journal of Transport Economics and Policy. He is a certified facilitator of the LEGO® SERIOUS PLAY® method and materials. He is Senior Fellow of the Higher Education Academy (HEA) and Associate
Fellow of the HEA (Indigenous).

Dalla quarta di copertina

In today’s competitive environment, airlines are doing everything they can to increase efficiencies while improving productivity. Productivity and Efficiency Measurement of Airlines: A Data Envelopment Analysis Approach helps achieve these goals through identifying and explaining the best strategies for measuring airline performance.

Each chapter measures airline performance through the model of data envelopment analysis (DEA), as well as other models, such as stochastic frontier analysis (SFA), where applicable. The book thoroughly discusses topics such as financial performance, greenhouse gas management, and complex airline data analysis, employing appropriate models for each. Model methodologies are also discussed. The in-depth coverage is useful for all audiences, including students with a basic understanding of models, researchers, and airline operators and management.

Productivity and Efficiency Measurement of Airlines: A Data Envelopment Analysis Approach provides codes for various data software, helping readers generate results and quantify efficient practices. These results provide airline decision makers with the essential information they need to create better policies and avoid underperforming practices.

Dettagli dell'edizione

• Editore: Elsevier
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 0128126965
• ISBN 13: 9780128126967
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 274
• Contatto del produttore: non disponibile
• Persona responsabile: LSWR Group; b.criscuolo@lswr.it; ; Via Spadolini, 7; Milano; Italia