American Journal of Economics and Business Administration
Applied Economic Policy: Digital Innovation, Artificial Intelligence and Economic Productivity
Guest editor: Luigi Aldieri · AEP-22Its last articles are still in review; they appear here as they are published.Important dates
- Call opens11 May 2021 · done
- Submission deadline31 Dec 2022 · done
- First-round decisions by15 Feb 2023 · done
- Collection complete5 Mar 2023 · done
About this special issue
The growth theory literature evidences the relevance of knowledge diffusion process for firms’ productivity. Indeed, firms decide to innovate by generating the technological knowledge for developing new products and production processes or improving those already in existence. Particular attention may be paid to the knowledge produced from other firms, the ‘knowledge spillovers’.
The aim of this Special Issue is to consider studies relative to the investigation of knowledge spillovers through the analysis of research and development expenditures (R&D) or patent data. In particular, we further explore the innovation process of the firms and the relative impact of employment.
Theoretical and empirical contributions from the economics of innovation and relative public policies are welcome in this Special Issue.
Submissions consist of theoretical or applied research in large range of tracks and topics including, but not limited to:
- Knowledge-Based Economy and Social Capital
- Innovation Economics
- Digital transformation processes in the private and public sectors
- Employment effects of digital innovation
- Liquidity constraints and Productivity
Guest editor
- Luigi AldieriDepartment of Economic and Statistical Sciences, University of Salerno, Italy
Published so far
Each accepted article is published in the journal’s next regular issue as soon as its author approves the proof, and appears here.