Title:
The
Design of a DSS for the Selection of ERP System and
Consultant
Abstract: Investing
in ERP is very expensive and yet risky on top of
current and future resources needed to be allocated for the project.
ERP
implementation failures have a serious negative impact on organizations
and
this make the task of choosing the right ERP system very crucial.
Furthermore,
once an organization has purchased an ERP software, they are literally
stuck
with that system forever, due to the high initial investment. If the
purchased
ERP system is unable to support any future business requirement, then
it would
be a total waste. In this paper we describe our efforts in designing
and
developing a Decision Support System (DSS) tool that can assist
organizations
to select the best ERP system and consultants for themselves. We call
the
Selection and Evaluation of an Enterprise Resource Planning Based
Systems tool
SEEBAS. It is a non bias DSS tool which can assists decision makers to
make
better decision in selecting the most suitable consulting company to
assist
them during the entire project implementation. Utilizing SEEBAS will
reduce the
risk of selecting an unsuitable ERP system, enable all decision makers
in an
organization to use the same decision making tool thus contributing
towards
transparency, avoiding biasness and have a systematic way of selecting
an ERP
system and consulting company for the organization.
Authors: Zaitun
A.B. and Zaini
Zainol