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The use of decision support systems in making strategic decisions in local authorities : a comparative study of Egypt and the UK

Elbeltagi, Ibrahim M. (2002) The use of decision support systems in making strategic decisions in local authorities : a comparative study of Egypt and the UK. Doctoral thesis, University of Huddersfield.

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The application of a modified Technology Acceptance Model (TAM) to determine the
factors affecting the use of Decision Support Systems (DSS) in strategic decisionmaking
in local authorities in both the UK and Egypt was the main core of this
research. Although the use of DSS has become widespread in recent years for
operational control its use in strategic decision-making has only rarely been seen. This
research explores the problems which cause decision-makers not to use DSS
effectively in making strategic decisions. Both the UK and Egypt have long histories
of implementing IT in general and DSS in particular in local government. Although
the UK has longer experience in adopting IT, both countries have failed to achieve the
goals from this technology in a strategic context; however its operational use is quite

The results of this research showed that the percentage of DSS usage in both the UK
and Egypt were 40% and 30% respectively which means more than half of the
investments in this kind of technology have not yet been used properly. This research
has examined the strategic use of DSS and defined the most severe problems that
could face decision makers when they use DSS strategically.

To define the factors that affect DSS usage in making strategic decisions the
researcher used the TAM which was first introduced in 1986 by F. Davis. This model
enjoys a rich base of academic acceptance. Many subsequent studies have proven
reliability of the measures and validity of the constructs and overall model. This study
argues that TAM could be applicable to the context of the strategic use of DSS in local
government in developing countries as it is successfully applied in developed
countries in different kinds of technologies.

This dissertation outlines a framework for the different factors that affect the strategic
use of DSS in both the UK and Egypt. Also this research tries to find answers to the
following questions:

1. What are the problems related to DSS usage in making strategic decisions?

2. What is the relative severity of these problems in both the UK and Egypt?

3. What are the differences between the UK and Egypt relating to the problems that
decision-makers encounter?

The hypotheses of this research were tested using a questionnaire as the main datagathering
instrument in addition to interviews made mainly to validate and support the
results of the quantitative approach. Rigorous validation procedures and statistical
analysis methods were performed on the data, including face and content validity,
alpha Chronbach and Factor analysis. The questionnaire was tested for reliability and
validity and proved to be highly valid and reliable. The results of the analysis
supported all hypothesised relationships.

The results of this research showed that Perceived Usefulness (PU) made a significant
direct effect on DSS usage in the UK group while Perceived Ease of Use (PEU)
showed no significant effect in both countries in all variables apart from the internal
support which was significant in the UK group. Also the results of this research
showed that there was some similarity in both countries regarding the problems of
strategic use of DSS, which were: absence of training for decision-makers to use DSS
and failure to commit the required resources. These results indicate that if DSS is to be
effectively used strategically by decision makers, local government in both developed
and developing countries needs to apply greater funds to training, to making top-level
decision makers comfortable with the use of DSS in hybrid (quantitative/qualitative)
problem contexts and to providing those decision makers with DSS which target
mainly strategic problems.

Item Type: Thesis (Doctoral)
Additional Information: EThOS Persistent ID
Uncontrolled Keywords: Technology acceptance model, Political science, Public administration, Management, Artificial intelligence, Political science
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Schools: The Business School
Depositing User: Graham Stone
Date Deposited: 22 Oct 2009 16:00
Last Modified: 04 Nov 2015 16:19


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