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Lookup NU author(s): Professor Mohamad Kassem
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© 2017 American Society of Civil Engineers.Investigating the drivers for building information modelling (BIM) adoption by organisations has attracted a significant interest in recent years. However, there are still some important limitations to overcome in this areas: (1) drivers and factors for BIM adoption are disjointedly identified and dispersed across many studies-this is caused by both the specialised theoretical lenses embraced by researchers and the use of non-systematic approaches for identifying pertinent studies; and (2) inadequate attention to the meaning of key terms and concepts (i.e. readiness, implementation, diffusion, adoption) underpinning this area of investigation and their overlap. This paper addresses these shortcomings and presents an exhaustive set of the drivers (i.e. innovation characteristics, internal environment characteristics, and external environment characteristics), key factors and their potential determinants that affect BIM adoption decisions. These findings can be used to: (a) investigate the power or influence exerted by the different drivers, factors and determinants on the organisational adoption of BIM within markets with different macro diffusion dynamics-e.g. with and without BIM mandate; (b) facilitate BIM diffusion planning by setting actions that target specific drivers and factors; and (c) develop a conceptual model for BIM adoption by organisations.
Author(s): Ahmed AL, Kawalek JP, Kassem M
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: ASCE International Workshop on Computing in Civil Engineering 2017: Information Modeling and Data Analytics
Year of Conference: 2017
Online publication date: 13/06/2017
Acceptance date: 02/04/2014
Publisher: American Society of Civil Engineers (ASCE)
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