Learning Ecology for digital transformation in construction projects

Sivagayinee Gangatheepan, Niraj Thurairajah, Melvyn Lees

Research output: Contribution to conferencePaperpeer-review

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.
Original languageEnglish
Pages30-41
Number of pages11
Publication statusPublished - 4 Sept 2017
Externally publishedYes
Event33rd Annual Association of Researchers in Construction Management Conference, ARCOM 2017 - Cambridge, United Kingdom
Duration: 4 Sept 20176 Sept 2017

Conference

Conference33rd Annual Association of Researchers in Construction Management Conference, ARCOM 2017
Country/TerritoryUnited Kingdom
CityCambridge
Period4/09/176/09/17

Keywords

  • Building Information Modelling (BIM)
  • Learning Ecology
  • Digital Transformation

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