![](bg7.png)
Table 8: A part of technology feasibility evaluation.
We synthesized the results of assessments, issue-
relatedness evaluation, and cross-impact analysis.
The top 10 technologies according to total scores are
derived as final emerging technology.
5 CONCLUSIONS
This study uses the needs-driven approach to find
future emerging technologies. The contribution of
this study is twofold. First, this study has
significance in the proposal of emerging technology
mining that is important to the social needs of
industry, including the e-business industry. This
methodology is judged as useful as it applies in
evolving technologies based on needs. Second, this
study uses the 'qualitative technique', such as future
needs mining based on users, for the emerging
technology mining process. The 'qualitative
technique' is also used in, the correspondence
evaluation of technology. The objectivity of this
study increased compared to our previous study
based on discussions with experts. The strategic
value also increased compared to our study based on
the database of scientific techniques.
Despite these contributions, this study has some
limitations. First, this study requires advanced
methodology due to the earlier studies of emerging
technology mining in the e-business industry.
Through the variety of information collection and
processing, we will forecast and design our system
so as not to end the study in a one-time effort. At the
same time, the system should be designed by the
study for the creation of new information. Second,
we applied only part of the proposed whole
methodology in the application of this study.
Becoming an emerging technology requires
'Economic feasibility', 'Technical feasibility' and
'Suitability' in addition to 'Issues relatedness'. Thus,
further research needs to be applied to various
processes. Finally, we used a needs driven approach,
but we need to flesh out the possibility of a
methodology to integrate a technologies-driven
approach. Recently, an attempt was made to
continue to identify a hidden signal early in the
technical trend using the database of widespread
scientific techniques. Thus, it is very meaningful to
identifying emerging technologies in the e-business
industry that are used to integrate surveys and patent
analysis.
ACKNOWLEDGEMENTS
This research was supported by Basic Science
Research Program through the National Research
Foundation of Korea(NRF) funded by the Ministry
of Education, Science and Technology(No.2009-
0089674).
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