Assessing the capacity of construction consultants to adopt building information modeling in Ghana

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dc.contributor.authorAsiedu, Elvis
dc.date.accessioned2017-01-23T12:20:00Z
dc.date.accessioned2023-04-18T22:47:56Z
dc.date.available2017-01-23T12:20:00Z
dc.date.available2023-04-18T22:47:56Z
dc.date.issuedNOVEMBER 2016
dc.descriptionA thesis submitted to the Department of Building Technology, College of Art and Built Environment in partial fulfillment of the requirements for the degree of Master of Science, en_US
dc.description.abstractThe inadequate flow of information within the building construction industry has had serious consequences on the performance of built-environment consultants in Ghana, and this often affects the output of every role player in the industry. Drawing from this the current study seeks to explore the adoption of Building Information Modeling (BIM) among construction consultants in the Greater Accra region. In this exploratory study, 182 questionnaires were administered to construction consultants in the Greater Accra region. However, 100 of the questionnaires were returned given a response rate of 60%. The result of the study showed that notwithstanding the high level of knowledge and awareness of BIM among construction consultants, the level of adoption is still low (7.0%), and lags behind the level of adoption of the technology in the construction sectors in the developed world. The low level of adoption can principally be attributed to the limited capacity of the construction consultants’ ability to produce an IT environment that is adaptable to BIM, produce capable system integration, and the absence of capable human resource. The absence of government pressure and consultant’s limited experience in BIM usage are also the possible reasons for the low adoption of BIM by the construction consultants in the Greater Accra region. Irrespective of the adoption level, the consultants perceive BIM to accelerate collaboration within project teams, reduce data input and transfer errors, speed up analysis cycle times, improve customer relationship, enhance time management, reduces cost and improves profitability. Based on these findings, the study recommends government policy enforce BIM adoption, training of the human resource in BIM, provide financial and managerial support to BIM adoption.en_US
dc.description.sponsorshipKNUSTen_US
dc.identifier.urihttps://ir.knust.edu.gh/handle/123456789/10181
dc.language.isoenen_US
dc.titleAssessing the capacity of construction consultants to adopt building information modeling in Ghanaen_US
dc.typeThesisen_US
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