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dc.contributor.authorRenukappa, Suresh
dc.contributor.authorSuresh, Subashini
dc.contributor.authorJallow, Haddy
dc.date.accessioned2020-07-16T15:12:07Z
dc.date.available2020-07-16T15:12:07Z
dc.date.issued2020-12-03
dc.identifier.citationJallow, H., Renukappa, S. and Suresh, S. (2020) Knowledge management and artificial intelligence (AI). 21st European Conference on Knowledge Management, 3rd–4th December 2020, Coventry University.en
dc.identifier.isbn9781912764822
dc.identifier.issn2048-8963en
dc.identifier.urihttp://hdl.handle.net/2436/623359
dc.descriptionThis is an accepted manuscript of an article published by ACPI in the Proceedings of the European Conference on Knowledge Management (ECKM). The accepted version of the publication may differ from the final published version.en
dc.description.abstractThe fourth industrial revolution known as Industry 4.0 is said to increase the opportunities and industry potential with the use of digitisation aids. The digitisation of the construction industry is becoming very important as processes, quality and efficiency are being focused on a lot more. Within the construction industry, knowledge management (KM) is a key part of learning from past mistakes on previous projects. As part of Industry 4.0, Artificial Intelligence (AI) is one of the technologies that could provide a potential to the construction industry through gathering knowledge from previous projects to determine future project outcomes. Therefore, this research focusses on AI and its abilities to improve KM for the construction industry in the UK. Qualitative research approach was adopted to collect and analyse the data. A total of 10 semi-structured interviews were conducted with managers within the construction industry. Results show that organisation have already implemented some sort of AI systems within projects and organisations in order to allow for better KM. Combining AI systems into Common Data Environments can help employees in finding documents easier with a unique ID or referenced words. It is concluded that AI systems can be built and used in order to assist with the KM processes that businesses have already implemented. It is recommended that there is a need for developing a business model canvas of implementing AI to benefit from KM within organisations in order to identify the difference between the business processes without AI for KM and with AI being used to assist KM.en
dc.formatapplication/pdfen
dc.language.isoenen
dc.publisherAcademic Conferences and Publishing International Ltden
dc.relation.urlhttps://www.academic-conferences.org/conferences/eckm/en
dc.subjectartificial intelligenceen
dc.subjectIndustry 4.0en
dc.subjectdigital processesen
dc.subjectknowledge managementen
dc.subjectconstruction industryen
dc.titleKnowledge management and artificial intelligence (AI)en
dc.typeConference contributionen
dc.date.updated2020-06-29T14:45:25Z
dc.conference.name21st European Conference on Knowledge Management (ECKM 2020)
dc.conference.locationUniversity of Coventry, UK
pubs.finish-date2020-12-04
pubs.start-date2020-12-03
dc.date.accepted2020-06-01
rioxxterms.funderUniversity of Wolverhamptonen
rioxxterms.identifier.projectUOW16072020SRen
rioxxterms.versionAMen
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en
rioxxterms.licenseref.startdate2020-12-03en
dc.source.booktitleProceedings of the 21st European Conference on Knowledge Management ECKM 2020
refterms.dateFCD2020-07-16T15:11:31Z
refterms.versionFCDAM
refterms.dateFOA2020-12-03T00:00:00Z


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