Research Status and Challenges of Data-Driven Construction Project Management in the Big Data Context
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...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2021/6674980 |
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| author | Yao Huang Qian Shi Jian Zuo Feniosky Pena-Mora Jindao Chen |
| author_facet | Yao Huang Qian Shi Jian Zuo Feniosky Pena-Mora Jindao Chen |
| author_sort | Yao Huang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-6bbb2f83d1334eac9f0ac893323c6f58 |
| institution | Kabale University |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-6bbb2f83d1334eac9f0ac893323c6f582025-02-03T00:58:45ZengWileyAdvances in Civil Engineering1687-80861687-80942021-01-01202110.1155/2021/66749806674980Research Status and Challenges of Data-Driven Construction Project Management in the Big Data ContextYao Huang0Qian Shi1Jian Zuo2Feniosky Pena-Mora3Jindao Chen4School of Traffic & Transportation Engineering, Changsha University of Science & Technology, Changsha 410114, ChinaDepartment of Construction Management and Real Estate, Tongji University, Shanghai 200092, ChinaSchool of Architecture & Built Environment, The University of Adelaide, Adelaide 5001, AustraliaDepartment of Civil Engineering and Engineering Mechanics, Columbia University, New York 10027, USASchool of Economics and Statistics, Guangzhou University, Guangzhou 510006, ChinaThe 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.http://dx.doi.org/10.1155/2021/6674980 |
| spellingShingle | Yao Huang Qian Shi Jian Zuo Feniosky Pena-Mora Jindao Chen Research Status and Challenges of Data-Driven Construction Project Management in the Big Data Context Advances in Civil Engineering |
| title | Research Status and Challenges of Data-Driven Construction Project Management in the Big Data Context |
| title_full | Research Status and Challenges of Data-Driven Construction Project Management in the Big Data Context |
| title_fullStr | Research Status and Challenges of Data-Driven Construction Project Management in the Big Data Context |
| title_full_unstemmed | Research Status and Challenges of Data-Driven Construction Project Management in the Big Data Context |
| title_short | Research Status and Challenges of Data-Driven Construction Project Management in the Big Data Context |
| title_sort | research status and challenges of data driven construction project management in the big data context |
| url | http://dx.doi.org/10.1155/2021/6674980 |
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