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6 CONCLUSIONS
This paper tries to carve out a small piece of land out
of the uncharted area of individual tariffs for bundles
in mobile communication services ,paving the way
to tariffing of boadband bundles as well (such as IP
TV , alarm sevices , financial applications ) . Based
on user and supplier behaviours, our bargaining
model aims to provide guidance to build
computational models for implementation, where the
determination of individual tariffs can be automated
or semi automated so that the provisioning overhead
is not prohibitive. The preliminary results from the
computational model show that individual tariffs
can be beneficial in some cases to both the users and
the supplier. Our next steps of work involve
comparing different types of equilibria when the
user and the supplier use different strategies and
decision rules. Risk will also be incorporated in the
model by linking individual’s utility with random
distributed parameters so that the supplier can get a
quantified portofolio income with known risks .
It should be noted that the use of the perceptual
space has the added advantage to the supplier of
reducing the surveying costs amongst users and
allowing him still to offer catalog bundle tariffs
close to user groups expectations . More precisely ,
in marketing terms, the two main deployment
options are :
-supplier surveys a rather large population of
potential customers witgh personalized needs
(roughly 1000 users is enough for PCA stability)
,and determines by the tool set bundles with
different service charactristics fo users just to choose
from
-or a sophisticated user engages in a real time
negotiation with the supplier, using the tool,in which
case provisioning costs are reduced because they are
automated ,including opt-out decision
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