Examining the Factors Influencing the Adoption of Web-Based Ticketing: Etix and its Adopters

Δημοσιεύσεις μελών--ΣΔΟ--Τμήμα Τουριστικών Επιχειρήσεων--2004This paper examines the case of the consumer adoption of an air travel service innovation, namely delivering electronic tickets (Etix) for air travel, which may be viewed as an innovation in service delivery. The qualitative study reported here adopted Rogers' model of perceived innovation attributes and was augmented by Bauer's framework of perceived risk. Participants in focus groups were categorised according to their attitudes towards buying electronic tickets for air travel through the Internet. The perceived innovation attributes were identified to be significant determinants of consumers' adoption decisions and practices. In addition, two more dimensions were found to influence consumers' adoption decisions, stressing the high complexity of the adoption decisions for Internet-based air travel ticketing innovations. The findings have practical value for organisations in the air travel sector as well as for traditional travel agents and Global Distribution Systems (GDSs)

Assessing multifunctional innovation adoption via an integrative model

This study proposes and tests an integrative model that incorporates the mental resources framework (MOA: motivation, opportunity, and ability) alongside traditional innovation adoption predictors for assessing the adoption of dual-functionality innovations (DFI), a special case of multifunctional innovations (MFI). The multifunctional nature of an increasing number of new products demands the use of mental resources in evaluating new offers, as the comprehension of MFIs is more demanding (i.e., requires more mental resources) than singlefunctionality (SF) products. The proposed model also recognizes the role of MFI categorization as a critical link in the process, because an MFI, and within the context of our study a DFI, helps consumers achieve multiple goals if they realize its dual functionality. Our model demonstrates that mental resources play a significant role in consumers’ adoption decisions and should be included in studies of MFI adoption. Further, our integrative model offers a significant improvement over rival alternatives that use only traditional innovation adoption predictors. Thus, the model offers a new approach for estimating MFI adoption with a superior predictive power and facilitates the development of appropriate marketing strategies for such products.Product Innovation ManagementIndustrial Design Engineerin