Table of contents - Special Issue: Data analytics and big data in construction project and asset management
Guest Editors: Ajibade A. Aibinu, Fernando Koch, S. Thomas Ng
Analyzing project data in BIM with descriptive analytics to improve project performance
Mohamed Marzouk, Mohamed EnabaThe purpose of this paper is to expand the benefits of building information modeling (BIM) to include data analytics to analyze construction project performance. BIM is a great…
BIM-linked data integration for asset management
Karim Farghaly, F.H. Abanda, Christos Vidalakis, Graham WoodThe purpose of this paper is to investigate the transfer of information from the building information modelling (BIM) models to either conventional or advanced asset management…
Influence of Big Data in managing cyber assets
Amit Mitra, Kamran MunirToday, Big Data plays an imperative role in the creation, maintenance and loss of cyber assets of organisations. Research in connection to Big Data and cyber asset management is…
Driving forces for the US residential housing price: a predictive analysis
Amirhosein Jafari, Reza AkhavianThe purpose of this paper is to determine the key characteristics that determine housing prices in the USA. Data analytical models capable of predicting the driving forces of…
Critical analysis for big data studies in construction: significant gaps in knowledge
Upeksha Hansini Madanayake, Charles EgbuThe purpose of this paper is to identify the gaps and potential future research avenues in the big data research specifically in the construction industry.
A systematic review of the applications of multi-criteria decision-making methods in site selection problems
Jeremy Yee Li Yap, Chiung Chiung Ho, Choo-Yee TingThe purpose of this paper is to perform a systematic review on the application of different multi-criteria decision-making (MCDM) methods in solving the site selection problem…
Adoption of Big Data analytics in construction: development of a conceptual model
Jiwat Ram, Numan Khan Afridi, Khawar Ahmed KhanBig Data (BD) is being increasingly used in a variety of industries including construction. Yet, little research exists that has examined the factors which drive BD adoption in…
ISSN:
2044-124Xe-ISSN:
2044-1258ISSN-L:
2044-124XOnline date, start – end:
2011Copyright Holder:
Emerald Publishing LimitedOpen Access:
hybridEditor:
- Prof. Mohan Kumaraswamy