ORCID Profile
0000-0001-9082-1985
Current Organisations
University of South Australia
,
University of Reading
,
Universiti Teknologi Malaysia
,
University of New South Wales
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Publisher: EDP Sciences
Date: 2018
DOI: 10.1051/MATECCONF/201820302011
Abstract: Legal, contractual issues and the absence of appropriate protocols have been ranked as critical barriers associated with the implementation of Building Information Modelling (BIM). As to date, these issues are under studied and there is lack of framework addressing legal and contractual measures ensuring contract best practice in BIM project setting and legal environment in Malaysia. This research attempts to review legal issues and two common local standard forms of contract in order to highlight provisions to suit BIM practice. The potential legal issues that were drawn from literature review are ownership of BIM model, intellectual property rights, level of development of the model, model management, allocation of risk, and schedule of deliverables. Appropriate adjustment or inclusion of the clauses or the contract contents is proposed, it could then be made to fit BIM practice.
Publisher: University of Technology, Sydney (UTS)
Date: 02-10-2018
Abstract: Construction industry players are now realising the need to implement Building Information Modeling (BIM) at the preconstruction planning stage to allow spatial data of the site to be incorporated into the BIM. Incorporating spatial data in BIM as early as possible in the building lifecycle poses a new challenge to industry players, particularly to the consultants who collect and provide these data. The aim of this study is to identify important factors for incorporating spatial data into the BIM at the preconstruction planning stage. Three rounds of the Delphi method were employed to obtain a consensus among twenty construction industry experts, selected through purposeful s ling. The findings revealed seven consolidated factors, with Technology, Client Demand, and Added Value as the top three, followed by Regulations, Skilled Staff, Management Commitment and Data Management. Experts were significantly in agreement with each other, as indicated by the Kendall’s W Coefficient = 0.6505 significant at 0.005. The findings highlight the requirements for utilizing spatial data in the BIM at the preconstruction planning stage and help the respective professional bodies to identify the prerequisites for BIM application and subsequently, improve the existing training for the professional development of their members.
Publisher: IOP Publishing
Date: 24-04-2019
Publisher: World Scientific Pub Co Pte Lt
Date: 12-2018
DOI: 10.1142/S0219877019500020
Abstract: Drawing upon diffusion of innovation (DoI) theory, technology acceptance models (TAMs), social network perspective and resistance literature, the study developed and tested a model, named integrated resistance factor model (IRFM), which integrates four key elements i.e. resistance indicators, support network factors, experience and disposition factors and the integration and accessibility factors. The study investigated if the model applies in a selected technology, namely online project information management systems (OPIMS). The IRFM was tested with partial least square (PLS) techniques and results from the [Formula: see text] analysis of the whole PLS structural model were significant and the data were coherence with the proposed model [Formula: see text]. These results indicated that user resistance to technology innovation can be predicted using the IRFM.
Publisher: University of Technology, Sydney (UTS)
Date: 08-09-2016
Abstract: The process and implementation strategy of information technology in construction is generally considered through the limiting prism of theoretical contexts generated from innovation diffusion and acceptance. This research argues that more attention should be given to understanding the positive effects of resistance. The study develops a theoretical framing for the Integrated Resistance Factor Model (IRFM). The framing uses a combination of diffusion of innovation theory, technology acceptance model and social network perspective. The model is tested to identify the most significant resistance factors using Partial Least Square (PLS) technique. All constructs proposed in the model are found to be significant, valid and consistent with the theoretical framework. IRFM is shown to be an effective and appropriate model of user resistance factors. The most critical factors to influence technology resistance in the online project information management system (OPIMS) context are: support from leaders and peers, complexity of the technology, compatibility with key work practices and pre-trial of the technology before it is actually deployed. The study provides a new model for further research in technology innovation specific to the construction industry.
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Salwa Mohd Ishak.