Sustainable resource allocation for power generation: The role of big data in enabling interindustry architectural innovation

Chalvatzis, K.J., Malekpoor, H., Mishra, N. et al. (2 more authors) (2018) Sustainable resource allocation for power generation: The role of big data in enabling interindustry architectural innovation. Technological Forecasting and Social Change. ISSN 0040-1625

Abstract

Metadata

Authors/Creators:
  • Chalvatzis, K.J.
  • Malekpoor, H.
  • Mishra, N.
  • Lettice, F.
  • Choudhary, S.
Copyright, Publisher and Additional Information: © 2018 Elsevier. This is an author produced version of a paper subsequently published in Technological Forecasting and Social Change. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Energy innovation; Interindustry architectural innovation; Sustainable energy; Fuel mix; Grey TOPSIS; grey linear programming
Dates:
  • Published (online): 9 May 2018
  • Accepted: 30 April 2018
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > Sheffield University Management School
Depositing User: Symplectic Sheffield
Date Deposited: 02 Jul 2018 08:46
Last Modified: 02 Jul 2018 08:46
Published Version: https://doi.org/10.1016/j.techfore.2018.04.031
Status: Published online
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.techfore.2018.04.031

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Licence: CC-BY-NC-ND 4.0

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