TY - JOUR
T1 - Digital technologies, innovation, and skills: Emerging trajectories and challenges
AU - Ciarli, T.
AU - Kenney, M.
AU - Massini, S.
AU - Piscitello, L.
N1 - Funding Information:
The authors thank Alex Coad for his guidance as the Research Policy-appointed Lead Editor. The authors acknowledge Alliance Manchester Business School for supporting and hosting the development workshop held on 30-31 January 2020. Tommaso Ciarli gratefully acknowledges the support by the European Union's Horizon 2020 research and innovation programme under Grant agreement ID 101004703 PILLARS (Pathways to Inclusive Labour Markets). Martin Kenney thanks the ongoing Berkeley Roundtable on the International Economy-Research Institute for the Finnish Economy project on digital platforms for its support.
Funding Information:
The authors thank Alex Coad for his guidance as the Research Policy-appointed Lead Editor. The authors acknowledge Alliance Manchester Business School for supporting and hosting the development workshop held on 30-31 January 2020. Tommaso Ciarli gratefully acknowledges the support by the European Union’s Horizon 2020 research and innovation programme under Grant agreement ID 101004703 PILLARS (Pathways to Inclusive Labour Markets). Martin Kenney thanks the ongoing Berkeley Roundtable on the International Economy-Research Institute for the Finnish Economy project on digital platforms for its support.
Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2021/9/1
Y1 - 2021/9/1
N2 - In order to better understand the complex and dialectical relationships between digital technologies, innovation, and skills, it is necessary to improve our understanding of the coevolution between the trajectories of connected digital technologies, firm innovation routines, and skills formation. This is critical as organizations recombine and adapt digital technologies; they require new skills to innovate, learn, and adapt to evolving digital technologies, while digital technologies change the codification of knowledge for productive and innovative activities. The coevolution between digital technologies, innovation, and skills also requires, and is driven by, a reorganization of productive and innovation processes, both within and between firms. We observe this in all economic sectors, from agriculture to services. Based on evidence on past technologies and the innovation literature, we suggest that we might require a new set of stylized facts to better map the main future trajectories of digital technologies, their adoption, use, and recombination in organizations, to improve our understanding of their impact on productivity, employment and inequality.
AB - In order to better understand the complex and dialectical relationships between digital technologies, innovation, and skills, it is necessary to improve our understanding of the coevolution between the trajectories of connected digital technologies, firm innovation routines, and skills formation. This is critical as organizations recombine and adapt digital technologies; they require new skills to innovate, learn, and adapt to evolving digital technologies, while digital technologies change the codification of knowledge for productive and innovative activities. The coevolution between digital technologies, innovation, and skills also requires, and is driven by, a reorganization of productive and innovation processes, both within and between firms. We observe this in all economic sectors, from agriculture to services. Based on evidence on past technologies and the innovation literature, we suggest that we might require a new set of stylized facts to better map the main future trajectories of digital technologies, their adoption, use, and recombination in organizations, to improve our understanding of their impact on productivity, employment and inequality.
KW - JOB POLARIZATION
KW - ARTIFICIAL-INTELLIGENCE
KW - LABOR SHARE
KW - INEQUALITY
KW - AUTOMATION
KW - EMPLOYMENT
KW - COMPUTERS
KW - FUTURE
KW - GROWTH
KW - FIRMS
U2 - 10.1016/j.respol.2021.104289
DO - 10.1016/j.respol.2021.104289
M3 - Editorial
SN - 0048-7333
VL - 50
JO - Research Policy
JF - Research Policy
IS - 7
M1 - 104289
ER -