Databases Reference
In-Depth Information
System
Quality
Use
Individual
Impact
Information
Quality
User
Satisfaction
Service
Quality
Organizational
Impact
Fig. 6.
Adapted from D&M IS Success Model [10] and updated D&M IS Success
Model [11]
with nearly 300 articles published in refereed journals referencing their orig-
inal paper. Because this IS success model is so well known we picked it up
as an example of user environment related IS research models. An adapted
version of the model is presented in Fig. 6 (it is very similar to the one in
http://business.clemson. edu/ISE/).
The original model was developed to “aid in the understanding of the pos-
sible causal interrelationships among the dimensions of success and to provide
a more parsimonious exposition of the relationships”. The investments into
information systems are huge every year. Thus it is natural to try to evaluate
the effectiveness of those expenditures. The model raises information quality,
service quality, and systems quality as key ingredients behind the user satis-
faction and the use of IS. These have been found to have essential positive
effect to individual impact leading to the organizational impact of information
systems.
3.3 The IS Development Environment
The IS development environment is needed to develop and maintain the IS
in use. Beside organizing and managing the development and maintenance
processes these processes require several kinds of resources: not only the tech-
nical ones, as methods and techniques, but also human as motivated people
with good enough education for the job. It is natural that in this compound
human, organization, and technology complex there is a need to have diver-
sified research methods. One such proposal that has been referred to quite
often in the IS literature is the one represented below.
In [25] system development itself is considered as a central part of a multi-
methodological information systems research cycle (Fig. 7).
Theory building involves discovery of new knowledge in the field of study,
however it rarely contributes directly to practice. Nevertheless, the new theory
often (if not always) needs to be tested in the real world to show its valid-
ity, recognize its limitations and make refinements according to observations
