Industry 5.0 technologies to enable innovation in the era of twin transition

A case study on the nexus between SMEs and regulators

Datos Bibliográficos

ID21404449
AutoresRoberto Cerchione (0000-0002-7025-3295, Parthenope University of Naples, autor de correspondencia), Antonio Messeni Petruzzelli (0000-0002-6852-5167), Armando Papa (0000-0001-7084-6763, National Research University Higher School of Economics), Viviana Sicardi (0009-0000-2743-7606, Parthenope University of Naples)
IdiomaEN
Referencias citadas109

This article examines how regulators can guide the safe and effective adoption of artificial intelligence (AI), blockchain (BC), and brain computer interfaces (BCI), considered as the pivotal 5.0 human-centric enabling technologies. Although prior research recognises regulators as influential actors within innovation systems, limited empirical evidence explains how regulatory expectations are translated into everyday organisational practices, particularly within resource-constrained small and medium enterprises (SMEs). To address this gap, the study employs an exploratory approach by adopting a qualitative case-study design of an SME currently integrating 5.0 enabling technologies into its operational activities to pursue twin transition. Data were collected through a combination of semi-structured interviews and secondary data to provide an in-depth investigation. The findings were analysed and coded through the lenses of institutional and dynamic capabilities theory. The results show that regulatory actors shape organisational adoption of 5.0 technologies by establishing conditions of stability, directionality, legitimacy, and formation that influence how an SME interprets regulatory signals, structures decision-making routines, and develops human and technological capabilities. By highlighting the formative role of regulation in shaping skills development and governance arrangements, this article contributes to research on regulation and innovation by conceptualising regulators as active participants in the co-construction of human-centric innovation systems. The findings offer theoretical insights into regulation as a decision science and provide practical implications for policymakers seeking to support twin transition in resource-constrained organisational contexts

Emerging technologies · Industry 4.0 · Nexus (standard) · Digital Transformation in Industry · Economic Development and Digital Transformation · University-Industry-Government Innovation Models