Abstract
The 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.Citation
Jallow, 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.Additional Links
https://www.academic-conferences.org/conferences/eckm/Type
Conference contributionLanguage
enDescription
This 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.ISSN
2048-8963ISBN
9781912764822Collections
Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by-nc-nd/4.0/