Key dimensions of effort for building information modelling data creation
While major industries begun to embrace technologies to improve revenue and productivity, construction industry appeared to be lagging in many aspects of technology adoption. Despite the industry’s straggle, there are several innovative work processes getting traction these days where Building Infor...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IAEME Publication
2021
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/97722/1/FarisHyderAli2021_KeyDimensionsofEffortforBuildingInformation.pdf http://eprints.utm.my/id/eprint/97722/ https://iaeme.com/Home/article_id/IJARET_12_02_043 |
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| Institution: | Universiti Teknologi Malaysia |
| Language: | English |
| Summary: | While major industries begun to embrace technologies to improve revenue and productivity, construction industry appeared to be lagging in many aspects of technology adoption. Despite the industry’s straggle, there are several innovative work processes getting traction these days where Building Information Modelling (BIM) sits at the backbone of sector’s digital strategy with the potentiality to produce voluminous data. Fortunately, the expected accumulation of huge BIM data can bring potential insights in various digital platform through proper exertion of effort especially through big data. Though the associations between BIM data and big data has been theoretically established, the effort exertion in the creation of BIM data is still in the oblivious state. Therefore, a study to relate the dimensions of effort and various BIM data is needed as a precursor for future research. The outcomes evidently depict a recognizable linkage among them in which intensity is the least related dimension while most of the BIM data related with demand. |
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