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Dansoh, A, Oteng, D and Frimpong, S (2017) Innovation development and adoption in small construction firms in Ghana. Construction Innovation, 17(04), 511-35.
Din, Z U and Bernold, L E (2017) Experimental study of signal behavior for wireless communication in construction. Construction Innovation, 17(04), 475-91.
Eriksson, P E and Szentes, H (2017) Managing the tensions between exploration and exploitation in large construction projects. Construction Innovation, 17(04), 492-510.
Hastie, J, Sutrisna, M and Egbu, C (2017) Modelling knowledge integration process in early contractor involvement procurement at tender stage: A Western Australian case study. Construction Innovation, 17(04), 429-56.
Ngowtanasuwan, G and Hadikusumo, B H W (2017) System dynamics modelling for BIM adoption in Thai architectural and engineering design industry. Construction Innovation, 17(04), 457-74.
- Type: Journal Article
- Keywords: adoption,BIM,system dynamics,architectural and engineering design,building information modelling
- ISBN/ISSN:
- URL: https://doi.org/10.1108/CI-03-2016-0018
- Abstract:
Purpose The causal relationships between factors related to building information modelling (BIM) adoption in the Thai architectural and engineering design industry are presented. A model is proposed to explain and forecast the adoption behaviours in the industry. This paper aims to define and compare policies for the adoption of BIM using a company case study. Design/methodology/approach The system dynamics (SD) approach was used. Four companies were selected as case studies for formulating a causal loop diagram. One of the companies was chosen for collecting the quantitative data for the SD model simulation during a ten-month study period. Tests of model validation were conducted for confirmation of, and confidence in, the model. Findings An SD model was formulated for studying BIM adoption. Four policies of BIM adoption were defined to compare with the normal operating business for the company and used as the case study. The quantitative outputs of the SD model revealed that BIM training was the best choice to optimise company performance. Research limitations/implications The case studies comprised architectural and engineering design companies in Thailand; therefore, the findings may not be generalisable to other Thai construction organisations or to other countries. Practical implications The methodology and findings can be used as guidelines for other organisations or countries that are considering BIM adoption to improve their operations. Originality/value The paper highlights the optimum policy for BIM adoption to achieve efficient and effective implementation.
Spillane, J P and Oyedele, L O (2017) Effective material logistics in urban construction sites: A structural equation model. Construction Innovation, 17(04), 406-28.