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The process of certification – issues for new technologies
Published in Don Harris, Engineering Psychology and Cognitive Ergonomics Volume Five, 2017
Karen P. Lane, Iain S. MacLeod
A useful model that can be adopted as a basis for considering the challenges in the adoption of new technologies, or new forms of technology such as COTS, is the marketing model devised by Moore (1995) termed the ‘Technology Adoption Life Cycle’. The components of this model can be used as a basis for discussion on most of the adoption challenges. The basis of the model is shown in figure 1.
Technology Adoption and Acceptance of Urban Air Mobility Systems: Identifying Public Perceptions and Integration Factors
Published in The International Journal of Aerospace Psychology, 2022
Ricole A. Johnson, Erika E. Miller, Steven Conrad
Two sociological models serve as frameworks to ascertain individual behaviors for community integration of PAVs, which drive acceptance and adoption of new innovation and technology. Rogers’s (2003) Technology Adoption Life Cycle model proposes that the rate of adoption of any new innovation is normally distributed along a bell-shaped curve, segmented by standard deviations from the mean. A normalized adoption curve would present five groups characterized as Innovators (2.5%), Early Adopters (13.5%), Early Majority (34%), Late Majority (34%), and Laggards (16%), where innovators and early adopters are often grouped together to represent early market. Innovators are the first to adopt new technology, knowingly accepting risk with perceived reward. Early Adopters adopt new technology fairly early albeit carefully in order to balance risk. Early and Late Majority adopt new technology after most people have tried it, and do so with a bit of skepticism. Laggards may adopt technology, if at all, only after the technology has been well established. The Technology Acceptance Model (Davis, 1989) suggests that perceived usefulness and perceived ease of use are two key determinants that drive individual behavior intentions to use a new system or technology. Perceived usefulness describes how an individual believes technology would enhance job performance or life, while perceived ease of use describes the degree to which an individual believes using the technology requires effort (Venkatesh & Davis, 2000).