Institutional pressures as drivers of circular economy in firms: A machine learning approach

This paper investigates how institutional pressures affect the development of Circular Economy (CE) in firms. Using Institutional Entrepreneurship as a theoretical framework, this considers three different levels ( coercive, normative, and mimetic ) to examine effect each pressure their interactions on CE. Seeking clarify debate pressures, that main limitation arises from fact previous research has analysed relationship between without considering interaction them non-linearity processes. Deviating papers, our analysis combines regression methods with Machine learning (i.e. Artificial Neural Networks), employs data EU survey Public Consultation Economy. finds while coercive have compulsory CE, normative do not an by themselves, but only pressures. Moreover, shows application machine tools important contribution solving problems. From perspective environmental policy, means comprehensive policy is required, which implies coexistence or types • Discrepancies are due methodology. Coercive Mimetic & Normative pressure. Networks contribute Comprehensive these required.