MARC 主機 00000nam  2200385   4500 
001    AAI9963931 
005    20061211115744.5 
008    061211s2000                        eng d 
020    9780599795013 
035    (UnM)AAI9963931 
040    UnM|cUnM 
100 1  Shorter-Judson, Beatrice Gail 
245 10 Adoption and diffusion of innovations in the airline 
       industry:  An investigation of consumer preference for 
       alternative ticketing methods (the case of electronic 
300    138 p 
500    Source: Dissertation Abstracts International, Volume: 61-
       02, Section: A, page: 0685 
500    Adviser:  Kerry Curtis 
502    Thesis (D.B.A.)--Golden Gate University, 2000 
520    The research investigates consumer preference for 
       alternative ticketing methods when purchasing air travel. 
       The research examines factors influencing the adoption 
       process of heterogeneous populations toward direct-
       response marketing innovations. By extending E. Rogers' 
       (1983) framework on adoption and diffusion into the 
       airline industry, this study examines the role of 
       distribution in the adoption process for individual 
       consumers by testing their perceptions of and preference 
       for 'ticketless' air travel, a by-product of electronic 
       ticketing. By using adoption-related variables (i.e., 
       purchase intent) consumers are segmented along Rogers' 
       (1983) adopter categories to examine user (nonuser) 
520    Key research findings were as follows: For Hypothesis 1, 
       consumer perceptions about product attributes that 
       displayed a positive significant effect on criterion 
       variable, purchase intent, were relative advantages (e.g.,
       reduces the amount of paper one carriers around, easy to 
       purchase), trialability and compatibility (e.g., is as 
       reliable as paper). Product attributes that displayed a 
       significant inverse effect on criterion variable, purchase
       intent, were complexity (e.g., simplicity of use) and 
       perceived risk (cost to acquire products/skills). All 
       results were in the expected direction. Consumer 
       expectations about e-ticketing's future performance were 
       displayed by Hypothesis 2. When compared to individuals 
       with the propensity to later adoption, individuals with a 
       propensity to earlier adoption displayed higher 
       expectations about e-ticketing's relative advantages and 
       complexity or simple to use 
520    User 'satisfaction' and 'previous experience' with similar
       products (e.g., frequent flyer memberships) were 
       significantly related to criterion variable, purchase 
       intent, as evidenced in Hypothesis 3. Comparisons were 
       made of users and nonusers of e-tickets. Users of e-
       tickets demonstrated previous experience with similar 
       products such as holders of frequent flyer memberships 
       when compared to nonusers. Differences between users and 
       nonusers were statistically significant on their intent to
       purchase e-ticketing the next time they traveled. 
       Individuals with the propensity to later adoption were not
       less positive about value-added of the e-ticketing 
       experience than individuals with the propensity to earlier
       adoption. This finding from Hypothesis 4 was evidenced by 
       the lack of a significant relationship between the 
       criterion variable, value-added, and the propensity toward
       earlier or later adoption. And finally, significant 
       findings in Hypothesis 5, revealed that region type had a 
       significant effect on variable, choice, for e-ticketing 
       air travel methods. Predictor variable, community type was
520    Adopter characteristics for this study follow Rogers' 
       (1983) generalizations about individuals with the 
       propensity to earlier adoption (e.g., early majority). 
       They were younger in age, risk-takers, eager-to-try new 
       ideas, had high income and education levels, and many 
       owned homes. This research confirms Rogers' framework for 
       adoption theory. Bivariate measurements and multivariate 
       statistical analysis using stepwise regression modeling 
       were used to examine adopter groups and underlying factors
       that might influence consumers' decision-making processes.
       T-tests, chi-square and ANOVA tests of analysis were also 
590    School code: 0452 
590    DDC 
650  4 Business Administration, Management 
650  4 Business Administration, Marketing 
650  4 Transportation 
690    0454 
690    0338 
690    0709 
710 20 Golden Gate University 
773 0  |tDissertation Abstracts International|g61-02A 
856 40 |u