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Title:      FACTORS AFFECTING ON IRANIAN PASSENGERS' ACCEPTANCE TOWARDS ELECTRONIC TICKETINGPROVIDED BY AIRLINES
Author(s):      Shima Dehbashi , Nasim Nahavandi
ISBN:      978-972-8924-35-5
Editors:      Piet Kommers (series editors: Piet Kommers, Pedro Isaías and Nian-Shing Chen)
Year:      2007
Edition:      Single
Keywords:      Adoption, Theory of Planned behavior, e-ticketing, airlines, Trust, perceived usefulness
Type:      Full Paper
First Page:      72
Last Page:      80
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      Using internet as a new channel for providing different services is growing rapidly in Iran, but it’s clear that focusing only on technology can’t lead the business to be successful. The key point of success business is still focusing on the customers and using new opportunities of rapid technological changes. Since the anxiety of customers' adoption / rejection of offering old services based on new technology is considerable, understanding what factors are important for customers to adopt these new services is the challenge for researchers and service providers. The objective of this research is to gain better understanding of the factors affecting on e-ticketing adoption of Iranian customers. Since the adoption of e-ticketing provided by airlines can be explained with an intention based model, we developed the model based on Theory of Planned Behavior to explain the effect of different factors on e-ticketing intention. Data collected from 133 passengers indicates that Attitude, Subjective norms and perceived usefulness significantly affect on Iranian customers’ intention to purchase e-ticket and Perceived risk has negative significant effect on intention to use e-ticketing. Also the result provides support for the effect of Trust, Perceived risk and perceived usefulness on attitude toward using e-ticketing. In this study we worked not only on evaluating a model and the relationship between constructs, but also we tried to find specific factors that drive people to use e-ticketing.
   

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