A Systematic Review for the Challenges Related to the Implementation of Building Information Modelling, Big Data Analytics and Internet of Things (BBI) in the Construction Sector
Madanayake, U. and Egbu, C. (2017). A Systematic Review for the Challenges Related to the Implementation of Building Information Modelling, Big Data Analytics and Internet of Things (BBI) in the Construction Sector. International Conference on Sustainable Futures- ICSF 2017. Bahrain 26 - 27 Nov 2017 Applied Science University Bahrain.
|Authors||Madanayake, U. and Egbu, C.|
Under scrutiny for the past several years, the adoption of Building Information Modelling (BIM), Big Data Analytics (BDA) and Internet of Things (IoT) (together also known as BBI) is yet to grow significantly in the construction industry. The industry itself is realising the complexity and challenges which admittedly inhibit BBI implementation. The identification of these challenges is an imperative precondition for successful implementation of BBI. Even though there is a paucity of empirical data in this area, a notable body of research has reported such challenges which are the target consideration of this paper. However, no study has comprehensively reviewed, and synthesized existing research on the basis of treating BBI implementation as an integrated process and viewing these challenges as the cause for laggard manifestations, which underpins the originality and value of this study. To bridge this gap in literature, this paper primarily undertakes a critical systematic review of research around challenges related to BBI implementation. It emphasises a variety of important challenges inter-alia, skills and training needs, level of interoperability, infrastructure associated costs, data security, privacy, data ownership and supply chain concerns. This synthesis shows that BBI implementation is complex and challenging, and suggests that the industry as a whole need to take immediate actions. The need for more concerted research efforts to bridge the gaps are also identified. Finally, the paper proffers recommendations for managers and workers, which have social, technological, and economic capability and capacity dimensions.
|Keywords||big data analytics, building information modelling, challenges, internet of things|
|Publisher||Applied Science University Bahrain|
|Accepted author manuscript|
CC BY 4.0
File Access Level
|26 Nov 2017|
|Publication process dates|
|Accepted||30 Oct 2017|
|Deposited||12 Nov 2019|
|Web address (URL) of conference proceedings||http://static.asu.edu.bh/uploads/2018/03/ASU-ICSF-2017-Proceedings.pdf|
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