- Title
- Towards an integrated framework of big data capabilities in the construction industry: A systematic literature review
- Creator
- Atuahene, Bernard Tuffour; Kanjanabootra, Sittimont; Gajendran, Thayaparan
- Relation
- 34th Conference and Annual General Meeting of the Association of Researchers in Construction Management (ARCOM 2018). Proceedings of the 34th Annual Conference (ARCOM 2018) (Belfast, Ireland 03-05 September, 2018) p. 547-556
- Relation
- http://www.arcom.ac.uk/index.php
- Publisher
- Association of Researchers in Construction Management (ARCOM)
- Resource Type
- conference paper
- Date
- 2018
- Description
- Generation of data in the construction industry is increasing exponentially, becoming bigger and varied due to the use of sophisticated devices. This is necessitated by the call for automating the construction process. Getting valuable insights from data has taken the centre-stage of digitalization in the business world, through big data applications. Big data describes the application of advanced technologies to mine insights from datasets to solve problems. Studies have recommended the benefits of big data in the construction industry, though scanty, but cognizance is not given to what it takes for the industry to realize to the fullest, the benefits of big data. This study identified big data capabilities across different disciplines required in the construction industry through a systematic literature review. Four major big data capabilities thus organizational strategy, data, technology and people were identified from literature through qualitative synthesis. The research was limited to peer reviewed articles indexed in Web of Science and Scopus. The findings together with antecedents of innovation from the Schumpeter's theory of innovation led to conceptualization of a process framework for big data capabilities in the construction industry. The framework consists of antecedents to innovation, big data capabilities and outcomes. The study addressed the gap of big data capabilities deficit in the construction industry. Practically, the framework can serve as a guide for construction organizations interested in adopting big data in their operations.
- Subject
- big data; capabilities; construction; innovation; systematic literature review
- Identifier
- http://hdl.handle.net/1959.13/1411607
- Identifier
- uon:36362
- Identifier
- ISBN:9780995546325
- Language
- eng
- Full Text
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