Integrated influential factors (iifs) model of internal stakeholders as an adaptive control system to curb projects completion delay in Yemen
The construction industry usually encounters lingering problems particular to time delay which is a major concern that affects project completion time globally. Influential factors causing delays in construction projects completion differ among countries, due to differing prevailing conditions that...
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| Format: | Thesis |
| Language: | English English |
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2019
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| Online Access: | http://eprints.uthm.edu.my/94/ http://eprints.uthm.edu.my/94/1/24p%20NAJIB%20MOHAMMED%20AHMED%20AL-FADHALI.pdf http://eprints.uthm.edu.my/94/2/NAJIB%20MOHAMMED%20AHMED%20AL-FADHALI%20WATERMARK.pdf |
| Summary: | The construction industry usually encounters lingering problems particular to time delay which is a major concern that affects project completion time globally. Influential factors causing delays in construction projects completion differ among countries, due to differing prevailing conditions that exert an influence on construction project delivery. In Yemen and other developing countries, many projects experience extensive delays by exceeding their initial completion time thereby leading to several reported effects which among others include: cost overrun; litigation; arbitration; failure; and abandonment. In order to mitigate these effects, a prevailing approach that is reported to being implemented is enhancing the collaboration of stakeholders in construction project delivery. This study seeks to propose an Integrated Influential Factor (IIF) model of internal stakeholders with a view to prevent delay in construction project delivery. A questionnaire survey was carried out among owners, consultants and contractors. A total of 301 questionnaires were collected of which 283 responses were found valid. Analysis of Moment Structures Equation Modelling (AMOS-SEM) model was developed based on 7 groups related to internal stakeholders of construction projects which are: consultant influential factors; contractor influential factors; owner influential factors; sub-contractor influential factors; designer influential factors; supplier influential factors; and labour influential factors. The findings from the IIFs model indicate that out of these 7 groups studied, while contractor, owner, subcontractor, designer and supplier have significant effect on delay, consultant and labour were not supported. Based on the path co-efficient value however, the most significant category is ‘contractor influential factors’. The implication of this research, it could enhance the integration of internal stakeholders and expect to be drastically eliminate the fear relative to project time delay of construction project delivery. |
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