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This study presents exploratory work and
seeks to identify and evaluate the success and failure factors that could form
a guideline for further study and to some extent help professionals to
understand some critical aspects that impact project performance concerning
construction in India. A total of 55 attributes affecting the performance of
construction projects are analysed in terms of their level of influence on four
key performance criteria – schedule, cost, quality, and no disputes – using a
two-stage questionnaire survey. These attributes are then further analysed,
interpreted and evaluated.
Based on the critical success factors
obtained from the study, a neural network model-based predictive model for
project performance has been developed. The performance prediction models have
been derived for all four project performance criteria. Further, a hypothesis
that ‘project success’ is influenced by ‘success traits’ has also been
formulated. The hypothesized positive inter-relationships between success
traits and project success have been tested using the structural equation
modelling technique.
Besides supporting the intuition of past
researchers in recognizing ‘coordination’ as a key success factor, this study
has revealed that coordination is not an isolated and independent activity, but
is a typical management function with an inherent role in all major management
activities. Key elements affecting coordination have also been identified and
their influence on coordination effort has been studied. Furthermore, the
present study has also identified three broad skill groups required of
effective project coordinators.
The results are validated through case
studies of live projects and structured interviews with experts in the field of
construction management.
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