Utilising legacy data for project risk identification, analysis and management
Conference paper
Snook, V. and Saleeb, N. 2018. Utilising legacy data for project risk identification, analysis and management. Kouider, T. and Alexander, G. (ed.) 7th International Congress on Architectural Technology (ICAT 2018). Ulster University, Belfast, UK 14 - 15 Jun 2018 Robert Gordon University. pp. 141-154
Type | Conference paper |
---|---|
Title | Utilising legacy data for project risk identification, analysis and management |
Authors | Snook, V. and Saleeb, N. |
Abstract | Existing research provides evidence that the construction industry is susceptible to risk. The HSE places Construction second, below agriculture, forestry and fishing in workplace injuries. The literature suggests that current practice regarding risk identification within the construction industry has a significant potential for subjectivity and that this constitutes a considerable shortcoming. To determine the extent to which this is the case, both Qualitative and Quantitative data collection in this research was undertaken over several phases, and detailed analysis, including the application of grounded theory, was applied in order to generate a well-rounded theory. These phases were interviews, questionnaires, observations and secondary data sources. The data sources were then analysed to understand the construction industry’s processes, attitudes and exposure to risk. The research process revealed that construction companies rely on intuition, judgement and experience to identify the risks to a significant extent, and also revealed some restraints within this situation. However the industry has available a potentially substantial pool of data in that captured by mobile devices (e.g. SnagR, 360 Field, and Field Supervisor), but does not make use of it to any great extent, with only 15% of all historical data being analysed coming from mobile applications. The proposal to overcome the above issue is the introduction of a new framework. This framework will undertake using this source of mobile captured legacy data to increase the portfolio of quality risk data that is available to project teams to assess risk more efficiently, and also to reduce the potential for subjectivity within the risk identification process. This was aimed to ensure that the use of historical mobile data is streamlined through a framework structure and that any amendments to the data structure are essential in improving the risk identification process. It was also intended that the new framework will aim to increase the participation of staff at all levels, in risk decision-making by project teams. |
Conference | 7th International Congress on Architectural Technology (ICAT 2018) |
Page range | 141-154 |
Editors | Kouider, T. and Alexander, G. |
ISBN | |
Hardcover | 9781907349157 |
Publisher | Robert Gordon University |
Publication dates | |
14 Jun 2018 | |
Publication process dates | |
Deposited | 06 Nov 2019 |
Accepted | 29 Mar 2018 |
Output status | Published |
Copyright Statement | Proceedings © International Congress of Architectural Technology / Robert Gordon University 2018 |
Web address (URL) | https://rgu-repository.worktribe.com/output/247324/proceedings-of-the-7th-international-congress-on-architectural-technology-icat-2018-architectural-technology-at-the-interfaces |
Language | English |
Book title | Proceedings of the 7th International Congress of Architectural Technology (ICAT 2018): Architectural Technology at the Interfaces, 14-17 June 2018, Belfast, UK |
https://repository.mdx.ac.uk/item/888xw
Restricted files
Accepted author manuscript
53
total views0
total downloads1
views this month0
downloads this month