Learning Ecology for digital transformation in construction projects

Gangatheepan, Sivagayinee, Thurairajah, Niraj and Lees, Melvyn (2017) Learning Ecology for digital transformation in construction projects. In: ARCOM 2017 - 33rd Annual Association of Researchers in Construction Management Conference, 4th - 6th September 2017, Cambridge, UK.

Full text not available from this repository.

Abstract

Industries are going through digital transformation journey, and construction is no exception. Building Information Modelling (BIM) is a technological innovation in the construction industry that can be used to deal with the digital world to resolve complex problems through multidisciplinary solutions. Digitalisation is not just a process, but deals with decisions related to people. Therefore, making connections is vital for a successful digitalisation; however, identifying and creating a suitable learning ecology through these connections is challenging, especially in project-based industries such as construction. Learning ecology emerges from a unique configuration of activities, materials, resources, relationships and integrations. The aim of this study is to examine the aspects of learning ecology in BIM construction projects. Data has been collected from two case studies on educational BIM construction projects which fall in the £30-£60 million bracket. The study explores how learning is taking place differently than earlier in BIM construction projects by demonstrating how tasks are completed. The findings suggest that to cope with digitalisation, construction projects need to be transformed into self-adaptive systems to enable the connection between people which will improve the way in which they align with project goals and to configure the right workflow.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Building Information Modelling (BIM), Learning Ecology, Digital Transformation
Subjects:	K200 Building
Department:	Faculties > Engineering and Environment > Architecture and Built Environment
Depositing User:	Paul Burns
Date Deposited:	27 Mar 2019 13:26
Last Modified:	10 Oct 2019 21:01
URI:	http://nrl.northumbria.ac.uk/id/eprint/38576

Downloads