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Application of structural equation modelling for estimating airline performance
Affiliation:1. COPPEAD Graduate Business School, Federal University of Rio de Janeiro, Rua Paschoal Lemme, 355, 21949-900 Rio de Janeiro, Brazil;2. ISEG – Lisbon School of Economics and Management, ULisboa and CEsA - Research Centre on African, Asian and Latin American Studies, Rua Miguel Lupi, 20, 1249-078, Lisboa, Portugal;1. Department of Industrial Engineering & Management, Shanghai Jiao Tong University, Shanghai, China;2. Operations Management Group, International Management Institute New Delhi, India;3. NUS Business School and The Logistics Institute - Asia Pacific, National University of Singapore, Singapore;4. Department of Production Engineering, Jadavpur University, India;5. Department of Industrial Engineering, Tsinghua University, Beijing, China;1. Nottingham University Business School China, University of Nottingham Ningbo China, 199 Taikang East Road, Ningbo 315100, China;2. School of Accounting, Economics and Finance, University of Wollongong, Northfields Avenue, Wollongong, NSW 2522, Australia;3. SMART, INRA, 35000 Rennes, France;4. Economie Publique, AgroParisTech, INRA, Université Paris-Saclay, 78850 Thiverval-Grignon, France
Abstract:Structural equation modelling (SEM) is an estimation method that can handle a large number of exogenous and endogenous factors as well as unobserved (latent) variables that are specified as linear combinations of observed (measurement) factors. This paper presents a SEM procedure with latent variables for estimating the financial and non-financial performance in airline companies. The model includes independent, mediator and dependent latent variables. The sample for this research comprises 214 airline companies. The results indicate that the model is capable of estimating performance with respect to the economic situation and it has also been determined that two types of constructs affect performance. One type is the economic situation acting as an initial construct and the other is the internal operation acting as the mediator in the research model.
Keywords:Latent variables  Structural equation modelling  Airline performance modelling  Mediation analysis
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