Policy interactions with research trajectories: The case of cyber-physical convergence in manufacturing and industrials

From the early 2010s, policymakers and firms in advanced industrial economies began introducing approaches to systemically exploit manufacturing and industrial data (the notion of cyber-physical convergence). Three innovation concepts were especially highlighted: Smart Manufacturing, Industrial Internet and Industrie 4.0. In parallel, academics have employed these concepts in numerous ways to promote their work. Despite this broad interest, precise definition and delineation of the cyber-physical convergence research domain have received little attention. Also missing is systematic knowledge on the interactions of these concepts with research trajectories. This paper fills these gaps by operationalising a newly constructed definition of convergence, and delineating the associated research domain into five data-centric capabilities: Monitoring, Analytics, Modelling-and-Simulation, Transmission and Security. A bibliometric analysis of the domain is then performed for 2010–2019. There are three findings. First, Analytics and Security have assumed strategic positions within the domain, coinciding with a “strategic turn” in policy. Second, backed by concerted policy and funding efforts, growth in Chinese scientific output has outpaced key competitors U.S. and Germany. Finally, the patterns of promoting their works in terms of the three concepts differ significantly among U.S.-, Germany- and China-based authors, which mirrors the different policy discourses prevalent in those countries.

• Philip Shapira

Bordoloi, T., Shapira, P., & Mativenga, P. (2021). Policy interactions with research trajectories: The case of cyber-physical convergence in manufacturing and industrials. Technological Forecasting and Social Change, 121347. doi:10.1016/j.techfore.2021.121347

• Science, Technology, and Innovation Policy

• School of Public Policy