An empirical analysis of green switching intentions in the airline industry

Hung-Che Wu, Ching-Chan Cheng and Chi-Han Ai

Journal of Environmental Planning and Management, 2018, vol. 61, issue 8, 1438-1468

Abstract: The purpose of this research is to gain an empirical understanding of airline passengers’ green switching intentions. A conceptual research model is used as a framework to examine the relationships among the experiential quality dimensions, green perceived value, green corporate image, green experiential satisfaction, green corporate reputation, green experiential loyalty and green switching intentions for the airline industry. The data used in this paper were based on a sample of 615 passengers who experienced the eco-friendly services of China Airlines, indicating that the proposed model fitted the data. The study's result will assist airline management to develop and implement market-orientated service strategies to increase the experiential quality dimensions, green perceived value, green corporate image, green experiential satisfaction, green corporate reputation and green experiential loyalty in order to decrease passengers’ green switching intentions.

Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://hdl.handle.net/10.1080/09640568.2017.1352495 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:jenpmg:v:61:y:2018:i:8:p:1438-1468

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CJEP20

DOI: 10.1080/09640568.2017.1352495

Access Statistics for this article

Journal of Environmental Planning and Management is currently edited by Dr Neil Powe, Dr Ken Willis and George Bill Page

More articles in Journal of Environmental Planning and Management from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().