Abstract
The construction industry is facing a data tsunami, while emerging information technologies (IT) show great potential for the effective processing of these data or information. However, a comprehensive review for technological change, the resulting process, and organizational changes in the Big Data context, especially from the angle of whole lifecycle of construction project, is lacking. To fill the void, related works published in the databases of Web of Science, Science Direct, and American Society of Civil Engineers library are systematically reviewed. The general trend in emerging IT application in terms of construction project management (CPM) phases, technology and application, and research topics are revealed. Following this analysis, the particularized proposals in relation to each of the main topics within CPM is discussed. Furthermore, according to the advances and limitations of the current literature, corresponding future agendas such as the implementation of comprehensive data-driven CPM scenario are proposed to bridge the gaps between theoretical research and practical demands.
Highlights
Academic Editor: Wen Yi e construction industry is facing a data tsunami, while emerging information technologies (IT) show great potential for the effective processing of these data or information
It is well recognized that Big Data share “4V” characteristics, i.e., Volume, Velocity, Variety, and Value [13, 14]. ere are two complementary aspects of Big Data value chain in the process of construction project management (CPM), i.e., Big Data management and (BDM) and Big Data analytics and visualization (BDA&V) [8, 13, 15]
Compared to product lifecycle management (LCM), which integrates each phase from planning to demolition or recycling, construction project management is traditionally divided into separate phases [127]. e traditional project management model was mainly based on the reductionism. us, some innovative project management approaches have been put forward in a bid to improve the project management performance [128, 129]
Summary
Received 7 October 2020; Revised 3 March 2021; Accepted 25 March 2021; Published 14 April 2021. E general trend in emerging IT application in terms of construction project management (CPM) phases, technology and application, and research topics are revealed Following this analysis, the particularized proposals in relation to each of the main topics within CPM is discussed. A systematic review for technological change, the resulting managerial process, and organizational changes in the Big Data context, especially from the angle of the whole lifecycle of construction project, is lacking. They review the general trend in Big-Datarelated technology application in terms of CPM phases, technology and application, and focused topics Following this analysis, they discuss the particularized proposals in relation to each of the main topics within CPM. Our work primarily discusses a comprehensive scenario of data-driven CPM from the angle of whole project lifecycle within the context of Big Data. A combination of keywords including Big Data (or large data/massive data/data-driven/data mining) and the construction industry (or civil engineering/AEC/construction project and management) was used, but the searched
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