Information Technology Reference
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REFERENCES
indicates the need for disposable services: ser-
vices that are easy to find, take into use, use and
get rid of when no longer needed. The user needs
realistic information about the actual values of the
services, so that (s)he can realize how to utilize
the service in his/her everyday life and to innovate
new usage possibilities.
The Technology Acceptance Model for Mobile
Services provides a tool to communicate key
user acceptance factors and their implications for
the design. The model together with the design
implications can be used as a user acceptance
design guideline. As the case studies illustrate,
the model also works as an evaluation framework
that facilitates comparison of different services
or service ideas for user acceptance. Used during
early phases of the design, the model can be used
in scenario evaluations to identify the applications
or applications fields with the greatest potential.
The model also helps in identifying the most
critical user acceptance factors, which can then be
further analyzed in user interviews. Taking user
acceptance as the research framework extends the
design and evaluation focus. The adoption of the
services in the users' everyday lives can then be
studied from the very beginning and throughout
the design process.
Future research challenges include studying
how the context of use and usage costs could be
taken into account in the Technology Acceptance
Model for Mobile Services. Social influence and
peer opinions are important factors especially
when setting up services that will require a criti-
cal mass of users, for instance services based on
social media. It would be interesting to study how
TAMM could be utilized to predict the adoption
of these kinds of services. Furthermore, additional
acceptance models will be needed to facilitate
studying engagement to long-term use after the
initial adoption.
W3C. (2008). Mobile Web Best Practices 1.0.
Basic Guidelines. W3C Recommendation 29 July
2008. http://www.w3.org/TR/mobile-bp/
Ahtinen, A., Mattila, E., Väätänen, A., Hynninen,
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User experiences of mobile wellness applications
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Antifakos, S., Schwaninger, A., & Schiele, B.
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certainty in context-aware applications. In Davies,
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Barnes, S. J., & Huff, S. L. (2003). Rising Sun:
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Billsus, D., Brunk, C. A., Evans, C., Gladish, B.,
& Pazzani, M. (2002). Adaptive interfaces for
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Boehm, B. (2003). Value-based software engineer-
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Chen, L., Gillenson, M. L. & Sherell, D. (2004).
Consumer acceptance of virtual stores: a theoreti-
cal model and critical success factors for virtual
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Spring, 8 - 31.
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