Information and Knowledge Management using ArcGIS ModelBuilder

Maryati Mohd Yusof
evaluation (De Lone and McLean, 1992; De Lone and McLean, 2004). HOT-fit makes use of the IS
Success Model in categorising its evaluation factors, dimensions and measures. Findings from the
selected literature of IS and Health Informatics were used to identify the evaluation dimensions and
measures of HIS. In addition, the IT-Organisation Fit Model (Scott Morton, 1991) is used to
complement the IS Success Model by integrating its featured organisational factors and the concept
of fit between the human, organisational and technological factors.
Figure 1: Human-Organization-Technology fit (HOT-fit) framework
Human, organisation and technology are the essential components of IS and the impacts of HIS are
assessed in the net benefits. These three factors and the impacts of HIS correspond to nine
interrelated dimensions of HIS success: System Quality, Information Quality, Service Quality, System
Development, System Use, User Satisfaction, Organisational Structure, Organisational Environment
and Net Benefits. Each of these dimensions is associated with a number of evaluation measures. The
description of the evaluation factors, dimensions and measures of the earlier version of the proposed
HOT-fit framework is discussed extensively in Mohd. Yusof et al., 2008b. During the analysis of the
systematic review, we identified System Development, a new dimension of human factor, which
relates to a number of processes in a system development life cycle, including clarity of system
purpose, feasibility study, planning, design, system selection, installation strategy, conversion style
and maintenance. Other relevant evaluation measures include project management, scheduling, and
momentum, user involvement and relationship with technical people.
Based on its comprehensive dimensions and outcome measures, the framework can be used to
evaluate the performance, effectiveness and impact of HIS or IT in healthcare settings. The three
evaluation factors can be evaluated throughout the whole system development life cycle as specified
in the System Development dimension. As mentioned above, each phase focuses on different
issues. This framework can be applied using qualitative, quantitative or a combination of both
approaches. Subsequently, any data collection methods from both approaches can be employed
during the conduct of the evaluation.
3. Research methodology
3.1 Research approach
Our research design consists of two research strategies, namely case study and systematic review.
Our qualitative approach employs both inductive and deductive reasoning. In being inductive, we
repeated cycles of data collection and analysis to generate propositions inductively from the data
cycles (using data already collected as well new data collected by that purpose) (Kaplan and Maxwell,
1994). On the contrary, we used the deductive reasoning to test prior propositions associated with the
proposed framework on new cases (Murphy et al., 1998).
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