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, 71. pp. 9966-9980. ISSN 0018-9391

Abstract

Metadata

Item Type: Article
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:
  • Published: 26 July 2023
  • Published (online): 26 July 2023
  • Accepted: 1 June 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > Management School (Sheffield)
Funding Information:
Funder
Grant number
ECONOMIC & SOCIAL RESEARCH COUNCIL
ES/W007231/1
Depositing User: Symplectic Sheffield
Date Deposited: 27 Jun 2023 13:43
Last Modified: 04 Oct 2024 13:42
Status: Published
Publisher: Institute of Electrical and Electronics Engineers
Refereed: Yes
Identification Number: 10.1109/TEM.2023.3286953
Open Archives Initiative ID (OAI ID):

Export

Statistics