Title: What factors predict a consumer's support of environmental sustainability in aviation? A multi-model analysis
Authors: Scott R. Winter; Jennifer E. Thropp; Stephen Rice
Addresses: Embry-Riddle Aeronautical University, 600 South Clyde Morris Blvd., Daytona Beach, FL 32114, USA ' Embry-Riddle Aeronautical University, 600 South Clyde Morris Blvd., Daytona Beach, FL 32114, USA ' Embry-Riddle Aeronautical University, 600 South Clyde Morris Blvd., Daytona Beach, FL 32114, USA
Abstract: Environmental sustainability remains a focal point of current research in the aviation industry. The purpose of the current study was to create four statistical models which could predict the types of factors that would indicate a consumer's support for the use of sustainable products in the aviation industry. Four models were proposed: overall support for sustainability in aviation, support for the use of aviation biofuels, support of sustainable construction materials in aviation, and support of sustainable aviation manufacturing. The study used an overall sample of 514 participants who were randomly divided into two separate datasets. The first dataset was used to produce the regression equations and the second dataset was used to assess model fit. The results produced four valid models with the amount of variance explained ranging from 29.0% to 41.1%. Perceived value of sustainability was found to be a significant predictor in all four models.
Keywords: sustainability; aviation; prediction; regression; statistical models; environmental commitment; green manufacturing; biofuels; green airports; consumer perceptions.
International Journal of Sustainable Aviation, 2019 Vol.5 No.3, pp.190 - 204
Received: 24 May 2019
Accepted: 13 Aug 2019
Published online: 06 Nov 2019 *