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Wood, H L (2010) Modelling project complexity at the pre-construction stage , Unpublished PhD Thesis, School of Environment and Technology, University of Brighton.

Wood, H L and Ashton, P (2007) An investigation to identify the role of pre-construction site investigative information used by small medium sized enterprises (SME).. In: Boyd, D (Ed.), Proceedings 23rd Annual ARCOM Conference, 3-5 September 2007, Belfast, UK. Association of Researchers in Construction Management, Vol. 2, 703–12.

Wood, H L and Ashton, P (2010) Modelling project complexity. In: Egbu, C (Ed.), Proceedings 26th Annual ARCOM Conference, 6-8 September 2010, Leeds, UK. Association of Researchers in Construction Management, 1111–20.

Wood, H L and Gidado, K (2008) An overview of complexity theory and its application to the construction industry.. In: Dainty, A (Ed.), Proceedings 24th Annual ARCOM Conference, 1-3 September 2008, Cardiff, UK. Association of Researchers in Construction Management, Vol. 2, 677–86.

Wood, H L, Piroozfar, P A E and Farr, E R P (2014) Moving beyond project complexity: Exploring empirical dimensions of complexity in the construction industry. In: Raiden, A and Aboagye-Nimo, E (Eds.), Proceedings 30th Annual ARCOM Conference, 1-3 September 2014, Portsmouth, UK, Association of Researchers in Construction Management, 885–94.

• Type: Conference Proceedings
• Keywords: complexity; case study; systems; complexity science
• ISBN/ISSN: 978-0-9552390-8-3
• URL: http://www.arcom.ac.uk/-docs/proceedings/ar2014-0885-0894_Wood_Piroozfar_Farr.pdf
• Abstract:
  Complexity is not an under-researched concept within the construction industry. However, because of the nature and characteristics of this concept, most of the works have traditionally tended to approach it in a reductionist manner, concentrating on project complexity above all others. Therefore a more comprehensive understanding aimed at being able to make more informed decisions correspondent to the specification of new construction in the age of digital tectonics should be developed. As there is an undeniable need for new vantage points, the data should come directly from the immediate context in which complexity is to be scrutinised. A deductive approach based on in-depth study of live cases is deemed appropriate for this purpose. With reference to our previous theoretical framework, this paper deepens the quest for a more intelligent decision process by investigating construction case studies. This review of cases will be carried out using our alternative way of reading complexity which is nurtured by its meaning in many other disciplines, encompassing all aspects of complexity in a more holistic manner. The findings of the study are to be further developed through additional research in order to substantially contribute to a more up-to-date, fit-for-purpose decision framework to effectively manage complexity comprehensively where and when required in the construction industry.