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Idris Othman

Researcher at Petronas

Publications -  85
Citations -  1034

Idris Othman is an academic researcher from Petronas. The author has contributed to research in topics: Computer science & Building information modeling. The author has an hindex of 10, co-authored 60 publications receiving 320 citations. Previous affiliations of Idris Othman include Universiti Teknologi Petronas.

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BIM benefits and its influence on the BIM implementation in Malaysia

TL;DR: In this article, a study was conducted to determine the influence of BIM benefits from the Malaysian construction stakeholders' perception towards its implementation, which revealed that most of the construction companies lack of awareness about BIM technology and its implementation could significantly increase project productivity and performance.
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The level of Building Information Modelling (BIM) Implementation in Malaysia

TL;DR: In this article, the authors evaluated the diffusion of BIM among Malaysian companies and found that only 13% of the participants from both public and private sectors are using BIM in their organization and this is a negative sign that Malaysia is still far away from the position it supposed to be in BIM implementation.
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Exploring the value management critical success factors for sustainable residential building – A structural equation modelling approach

TL;DR: Results showed that stakeholders and knowledge were crucial CSFs for implementing VM, and will be a guide for decision-makers to reduce costs and improve sustainability by introducing VMs in the Egyptian construction industry.
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Barriers of value management implementation for building projects in Egyptian construction industry

TL;DR: In this paper, a quantitative questionnaire survey was used to find answers from those who work actively as part of the construction industry, and the analysis of the collected data was based on descriptive statistical tools.
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Barriers to safety program implementation in the construction industry

TL;DR: In this paper, the exploratory factor analysis (EFA) technique was used to evaluate data collected from the survey, reduce the number of factors and establish relationships between variables, based on the analysis, the 12 barriers were grouped into four dimensions: nonconductive work climate, poor governance, poor safety awareness, and unsupportive industry norms.