database concept, so that all involved departments
can exchange information and communicate in an
efficient and effective way.
RIS BV implements the ERP system Navision in
its business processes. This is carried out in a
modular way. The module that is being implemented
currently is the Projects module. The high priority
for implementing this module is a consequence of
the current project planning problems at RIS. The
traditional way of planning by using manually
controlled Gantt charts (e.g. in Excel) is not
effective anymore due to, among others, the high
number of change requests in the complex projects.
On the short term RIS BVwants to improve their
reliability and customer satisfaction regarding the
finalisation of the complex projects in due time. The
Navision Projects module should offer the
opportunity to analyse and control the change
requests in the planning process. On that basis it
should become possible, in a flexible way, to derive
management reports on the financial consequences
of changes in the project.
In section 2 the research framework and
approach is presented that is applied in the case
study. Section 3 reports on the results of the case
study at RIS BV. In section 4 conclusions and
recommendations for further research are given.
2 RESEARCH FRAMEWORK
AND APPROACH
Critical success factors (CSF) have become a
management instrument in the broad area of
software engineering, both in development and
implementation. However, the applications that are
presented in literature are still of a qualitative nature
and do not support implementation managers in
practice with operational and quantitative
instruments. As a consequence most implementation
projects only get little support from these studies.
Therefore the main questions still are:
1. How to control ERP implementation projects in
SMEs on the basis of CSF?
2. Can CSF be measured during implementation
projects in SMEs?
Regarding the management and control of CSF
several attempts have been made to make CSF
operational, e.g. by elaborating the definitions and
by investigating the usefulness of these definitions
for practitioners. Although interesting results have
been gained, previous research focused in particular
on the possibility of applying CSF during ERP
implementation. E.g. in (Esteves et al, 2003) in
particular two CSF are being investigated and only
some attempts have been made to make these CSF
operational. However experiences with measurement
of CSF in real-life ERP implementation projects in
SME is not yet reported.
Based on previous research findings on ERP
implementation it was decided to make use of the set
of CSF definitions of (Esteves and Pastor, 2000) and
the GQM method (van Solingen and Berghout,
1999). Applying GQM in order to determine metrics
has also been studied by (Esteves and Pastor, 2003).
However the experimentation with GQM to monitor
and control CSF in a real-life ERP implementation
project has not yet been reported. Regarding the
usage of CSF it was decided to select already early
in the implementation project a limited set of CSF.
This is in conformance with guidelines for the usage
of metrics in real-life projects, (Kitchenham, 1996).
The ERP implementation project is relatively
small, i.e. restricted to only one ERP module, a time
interval of only three months, and to only 10
participating people. The approach that has been
followed in our research consists of the following
steps:
1. Development of the research framework: CSF
and GQM
2. Applying the GQM approach in a real-life SME
project:
a. Identification of the goals of the
project
b. Selection of a limited number of CSF
c. Development of the measurement
instrument (i.e. questionnaires)
d. Collection of the data
e. Analysis and evaluation of the data
3. Evaluation of the research framework and
approach
2.1 Critical Success Factors and Goal
Question Metric Method
CSF have already been investigated by a number of
researchers, see the introduction of this paper. In this
paper the relatively recent and extensively
researched list of (Esteves and Pastor, 2000) has
been used, see table 1.
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