Fernandez De Arroyabe Arranz, Carlos ORCID: 0000-0002-6866-0684, Sena, Vania and Kwong, Caleb (2023) Dynamic capabilities and institutional complexity: exploring the impact of innovation and financial support policies on the circular economy. IEEE Transactions on Engineering Management. pp. 1-15. ISSN 0018-9391 (Print), 1558-0040 (Online) (doi:https://doi.org/10.1109/TEM.2023.3286953)

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Abstract

The adoption of the circular economy (CE) requires new strategies and policies to help firms in their transition. Despite this need, research on how to articulate policies for the transition towards a CE is still in its early stages, and the findings are inconclusive and even discrepant, especially concerning the necessary financial support or policies to foster systemic circular innovation in firms. The aim of this research is to analyze the effect of institutional pressures in these two areas on the adoption of CE in firms. To do this, from a theoretical perspective, we combine institutional theory, particularly institutional complexity, with the dynamic capabilities approach. From a methodological point of view, along with classical econometric methods, artificial neural networks and regression trees are applied to analyze data from European firms. The results show, first, that policies to foster innovation and financial support help in the adoption of CE in firms, but its effect follows an inverted U shape. This indicates that the institutional pressures embodied in these policies reach a threshold and that beyond that point, an increase in institutional pressures deteriorates the development of CE in firms. Second, the results show that within the portfolio of institutional pressures considered, there is a positive effect of a greater diversity of policies on CE development in firms. Lastly, the results demonstrate that innovation policies, when combined with financial policies produce synergistic effects on the adoption of CE in firms, greater than those observed when financial support policies are employed in isolation.

Item Type:	Article
Uncontrolled Keywords:	technological innovation; system modelling; organizations; complexity theory; green products; dynamic scheduling; artificial neural network (ANN models); circular economy (CE), decision trees; financial support policies; innovation; machine-learning policies
Subjects:	H Social Sciences > HB Economic Theory Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General)
Faculty / School / Research Centre / Research Group:	Faculty of Business Faculty of Business > Department of Systems Management & Strategy Faculty of Business > Networks and Urban Systems Centre (NUSC) Faculty of Business > Networks and Urban Systems Centre (NUSC) > Connected Cities Research Group
Last Modified:	27 Jul 2023 12:03
URI:	http://gala.gre.ac.uk/id/eprint/43448

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