1,975
Views
39
CrossRef citations to date
0
Altmetric
Articles

Collaboration through innovation: implications for expertise in the AEC sector

, &
Pages 769-789 | Received 15 May 2015, Accepted 22 Jun 2016, Published online: 12 Jul 2016
 

Abstract

Collaboration is key for successful delivery of building projects in the Architecture, Engineering and Construction (AEC) sector. Innovative project delivery approaches developed over the past two decades envision new ways of collaborating and specifically aim at improving the performance of and value generated by this key economic sector. Collaboration, however, remains an ill-defined and highly amorphous concept. This makes it difficult to investigate and consequently develop a body of knowledge, which is central to defining a field of expertise in this area. The aim of this investigation is to explore the notion of an expertise in collaboration in the AEC sector and the implications of these innovative project delivery approaches on this expertise. The concept of collaboration is developed across five core entities: structure, process, agents, artefacts and context. These entities are then framed through a critical realist lens to lay the groundwork for a body of knowledge of collaboration in the AEC sector. The impact of the current shift to these innovative approaches is investigated within this framing. The findings set a course of action to develop a body of knowledge and a field of expertise on collaboration in the AEC sector.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 592.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.