dc.contributor.author | Weerakkody, CD | |
dc.contributor.author | Jayasuriya, DMS | |
dc.contributor.author | Rupasinghe, AR | |
dc.date.accessioned | 2024-03-15T09:55:59Z | |
dc.date.available | 2024-03-15T09:55:59Z | |
dc.date.issued | 2023-09 | |
dc.identifier.uri | http://ir.kdu.ac.lk/handle/345/7443 | |
dc.description.abstract | This specific study is carried out to determine
to which extends the Artificial Intelligence can intervene
within the field of Quantity Surveying and the tasks
accommodated with the field within the Sri Lankan context.
The Objectives of this research is to identify the tasks and
duties that a conventional Quantity Surveyor may perform
which are most critical and vulnerable towards being
artificial intelligence based in the future. These identified
tasks and duties will be then directed towards a population
of Quantity Surveyors and related professionals to gain
their understanding on this matter in both qualitative and
quantitative manners.The interviews were put through
content analysis process and the gathered Quantitative
data were analyzed through Likert scale. The
questionnaires were incorporating with RII analysis. The
conclusions further denoted that most of the Quantity
Surveying related tasks and duties were compatible to be
associated with Artificial Intelligence and digitalized
means which could lessen the actual Quantity Surveying
personnel involvement in the future. The most conventional
and essential Quantity Surveying practices were at the most
risk of being replaced by AI systems such as Estimating
practices, Cashflow, labour and material management to
name a few. The analysis also proved to show which are
the most vulnerable Quantity Surveying duties they could
be. Given the proprietary of these each duty to be
incorporated with Artificial Intelligence or not, the limits
they could be associated with and the reasons why are
lastly presented as in recommendations and implications
which denoted that it is more probable for Quantity
Surveyors to incorporate the AI systems rather than having
to face the risk of become replaced by the systems
themselves.. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | Quantity Surveyor | en_US |
dc.subject | Artificial Intelligence | en_US |
dc.subject | Propriety | en_US |
dc.subject | Limitations | en_US |
dc.subject | Digitalization | en_US |
dc.title | The Propriety and Limitations of Relying on Artificial Intelligence And Digitalization in the Field of Quantity Surveying, Sri Lanka | en_US |
dc.type | Article Full Text | en_US |
dc.identifier.faculty | Faculty of Built Environment and Spatial Sciences | en_US |
dc.identifier.journal | IRC - KDU | en_US |
dc.identifier.pgnos | 156-162 | en_US |