Dynamic capabilities and institutional complexity: exploring the impact of innovation and financial support policies on the circular economy

Arranz, C.F.A., Sena, V. and Kwong, C. (2023) Dynamic capabilities and institutional complexity: exploring the impact of innovation and financial support policies on the circular economy. IEEE Transactions on Engineering Management. ISSN 0018-9391

Abstract

Metadata

Authors/Creators:
  • Arranz, C.F.A.
  • Sena, V.
  • Kwong, C.
Copyright, Publisher and Additional Information: © 2023 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
Keywords: Artificial neural network (ANN) models; circular economy (CE); decision trees; financial support policies; innovation; machine-learning; policies
Dates:
  • Accepted: 1 June 2023
  • Published (online): 26 July 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > Management School (Sheffield)
Funding Information:
FunderGrant number
ECONOMIC & SOCIAL RESEARCH COUNCILES/W007231/1
Depositing User: Symplectic Sheffield
Date Deposited: 27 Jun 2023 13:43
Last Modified: 02 Aug 2023 12:37
Status: Published online
Publisher: Institute of Electrical and Electronics Engineers
Refereed: Yes
Identification Number: https://doi.org/10.1109/TEM.2023.3286953

Export

Statistics