Drivers and challenges associated with the implementation of big data within UK facilities management sector : an exploratory factor analysis approach
- Submitting institution
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University of the West of Scotland
- Unit of assessment
- 12 - Engineering
- Output identifier
- 14458433
- Type
- D - Journal article
- DOI
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10.1109/TEM.2019.2959914
- Title of journal
- IEEE Transactions on Engineering Management
- Article number
- -
- First page
- 1
- Volume
- 0
- Issue
- -
- ISSN
- 0018-9391
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2020
- URL
-
-
- Supplementary information
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-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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2
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper underpinned by the RICS Research report authored by Dr Konanahalli is the first to categorise empirically drivers and challenges associated with Big Data implementation. The findings were presented at the “Automation at AI Inspiration and Examples from Facilities Management (FM) and beyond event” attracting over 70 delegates in London. The applied research work has also led to underpinning two Knowledge Transfer Partnerships funded by Innovate UK and one PhD student to develop a framework to streamline information flow between key FM systems.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
