icegov2012 proceedings

4. CONCLUSION
This study empirically evaluated the appropriateness of a Uservice
typology by applying 228 unit U-services to Jeong’s
typology for the categorization of the services. As compared to the
previous studies of u-service typologies which regarded it as
meaningful to develop a theoretical framework for classification
of U-services, it is important to note that this study found the
problems with the present typology via empirical heuristic
application and identified problem areas. Jeong’s typology was
found to have high exhaustiveness and empirical workability when
the system was analyzed from empirical and theoretical points of
view. Since u-services are variable according to service categories,
they can be newly developed or combined when the needs for
them increase in future with technological or environmental
changes. The high empirical workability of the typology used in
this study can be explained by the fact that there was a consensus
of 85.5% among experts in U-services when they categorized the
services using the typology. High empirical workability helps
reduce confusion in a process of service development as it allows
U-services to be accurately classified. The results from an
empirical analysis suggest that the classification criteria should be
defined more clearly so that empirical workability is enhanced.
However, Jeong’s U-service typology needs to be improved in
terms of mutual exclusiveness, parsimony and theoretical
fruitfulness. Such typology provides a foundation in building a U-
Eco City and must be organized for extension to broadband
services. This study is significant in that it attempted empirical and
theoretical analyses of a U-service typology and came up with
ways to evaluate and improve the typology, but on the other hand
its research methodology was limited to qualitative approaches. In
order to recover this limitation, future studies will need to build an
improved typology through a quantitative analysis of contents.
5. ACKNOWLEDGMENTS
This work was partially supported by Office of Research Affairs
(2010-7-0571) at Yonsei University, Seoul, Republic of Korea.
Authors also appreciate help and support of Ms. Hahyun Kim and
Dr. Minjung Lee in preliminary analysis of this study.
This research was partially supported by a grant (07High Tech
A01) from High tech Urban Development Program funded by
Ministry of Land, Transportation and Maritime Affairs of Korean
Government. Preliminary results of this study have been reported,
in Korean, in the Journal of Korean Society of IT Services, 11(1),
pp. 325-340, in March 2012.
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