9791221502893_37.pdf

The theme of ‘Managing the digital transformation of the construction industry’ emphasises the importance of considering various dimensions of digitalisation and optimising the built environment. This review aims to present methodological approaches from existing literature that elucidate location-r...

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Γλώσσα:English
Έκδοση: Firenze University Press 2024
Διαθέσιμο Online:https://books.fupress.com/doi/capitoli/979-12-215-0289-3_37
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spelling oapen-20.500.12657-890952024-04-03T02:23:28Z Chapter A Systematic Literature Review to Identify a Methodological Approach for Use in the Modelling and Forecasting of Capital Expenditure of Hyperscale Data Centres King, David Wanigarathna, Nadeeshani Jones, Keith Ofori-Kuragu, Joseph cost decision analysis forecasting data centres thema EDItEUR::U Computing and Information Technology The theme of ‘Managing the digital transformation of the construction industry’ emphasises the importance of considering various dimensions of digitalisation and optimising the built environment. This review aims to present methodological approaches from existing literature that elucidate location-related factors impacting the capital cost of data centres. These findings facilitate adjustments to historical cost data when estimating total costs for new data centres. A systematic literature review method was employed to ensure an objective and comprehensive synthesis. In conjunction with Bayes's theory, this review identifies that a Delphi methodology is the most suitable methodological approach for forecasting and modelling capital expenditure for hyper-scale data centres. The methodology enables collective decision-making and consensus building, recognising the stakeholder's pivotal role in shaping the future of data centres. These findings offer valuable insights for researchers and practitioners in forming a methodological approach for further investigations into the location-related factors impacting the capital cost of data centres. Embracing this knowledge allows us to align research and practice, ensuring that these practices become integral to shaping the future of data centres and the digitalisation and optimisation of the built environment 2024-04-02T15:46:23Z 2024-04-02T15:46:23Z 2023 chapter ONIX_20240402_9791221502893_64 2704-5846 9791221502893 https://library.oapen.org/handle/20.500.12657/89095 eng Proceedings e report application/pdf n/a 9791221502893_37.pdf https://books.fupress.com/doi/capitoli/979-12-215-0289-3_37 Firenze University Press 10.36253/979-12-215-0289-3.37 10.36253/979-12-215-0289-3.37 bf65d21a-78e5-4ba2-983a-dbfa90962870 9791221502893 137 8 Florence open access
institution OAPEN
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language English
description The theme of ‘Managing the digital transformation of the construction industry’ emphasises the importance of considering various dimensions of digitalisation and optimising the built environment. This review aims to present methodological approaches from existing literature that elucidate location-related factors impacting the capital cost of data centres. These findings facilitate adjustments to historical cost data when estimating total costs for new data centres. A systematic literature review method was employed to ensure an objective and comprehensive synthesis. In conjunction with Bayes's theory, this review identifies that a Delphi methodology is the most suitable methodological approach for forecasting and modelling capital expenditure for hyper-scale data centres. The methodology enables collective decision-making and consensus building, recognising the stakeholder's pivotal role in shaping the future of data centres. These findings offer valuable insights for researchers and practitioners in forming a methodological approach for further investigations into the location-related factors impacting the capital cost of data centres. Embracing this knowledge allows us to align research and practice, ensuring that these practices become integral to shaping the future of data centres and the digitalisation and optimisation of the built environment
title 9791221502893_37.pdf
spellingShingle 9791221502893_37.pdf
title_short 9791221502893_37.pdf
title_full 9791221502893_37.pdf
title_fullStr 9791221502893_37.pdf
title_full_unstemmed 9791221502893_37.pdf
title_sort 9791221502893_37.pdf
publisher Firenze University Press
publishDate 2024
url https://books.fupress.com/doi/capitoli/979-12-215-0289-3_37
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