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The potential of cloud computing technology for construction collaboration

Fathi, Mohamad Syazli and Abedi, Mohammad and Rawai, Shakila (2012) The potential of cloud computing technology for construction collaboration. International Journal of Applied Mechanics and Materials, 174 . 1931 -1934. ISSN 1660-9336

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Official URL: http://www.scientific.net/AMM.174-177.1931


A major barrier to successful construction project delivery has been the fragmentation and poor relationships existing between players in the construction industry. This significant issue has exerted a negative influence on project objectives, especially those which are predetermined, such as time, specified budget and standard quality. Construction projects require intensive efforts and processes, which it is often a challenge to provide to parties within the construction industry, to access accurate information and efficient communications. The purpose of this paper is to investigate the construction collaboration tools along with concepts of context-aware computing and cloud computing. The findings in this research are based on a thorough review of the comprehensive literature on IT, computing and construction. Consequently, this study sets out to introduce and develop the concepts of potential innovative collaborative tools, such as Context-Aware Cloud Computing Information Systems (CACCIS), for facilitating the construction supply chain processes and networks by enhancing the opportunities for achieving better competitive advantages. Firstly, it is hoped that this study will lead to improved construction collaboration to enhance the competitive advantages and opportunities for the internationalisation and globalisation of the construction industry. Secondly, it presents an effective method to provide new insights into the process of integration and, most significantly, to improve the productivity, efficiency and effectiveness of the construction industry.

Item Type:Article
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Razak School of Engineering and Advanced Technology
ID Code:21039
Deposited On:14 Jan 2012 05:08
Last Modified:13 Oct 2017 10:20

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