Aims: we propose a sociotechnical taxonomy for the analysis of socio-economic disruptions caused by technological innovations. Methodology: a transdisciplinary principled approach is used to build the taxonomy through categorization and characterization of technologies using concepts and definitions originating from cybernetics, occupational science, and economics. The sociotechnical taxonomy is then used, with the help of logical propositions, to connect the characteristics of different categories of technologies to their socio-economic effects, for example their externalities. Results: we offer concrete illustrations of concepts and uses, and an Industry 5.0 case study as an application of the taxonomy. We suggest that the taxonomy can inform the analysis of opportunities and risks related to technological disruptions, specially of those that result from the rise of cognitive machines.

In a linear economy, manufacturing is less costly and more profitable than remanufacturing because of reduced private costs of utilization and production. However, manufacturing also involves higher resource extraction and waste as externalized costs than remanufacturing. We use a vintage capital framework to assess technological innovations in remanufacturing and their potential benefits to society and human occupations. Our study shows that replacing manufacturing with remanufacturing technologies creates positive static and dynamic circular economy externalities. These externalities can be quantified to assess improvements in social outcomes. A smartphone remanufacturing innovation case study is presented as an illustration of the article's main ideas. Future research should investigate additional specific cases to develop a comprehensive methodology for assessing the impact of remanufacturing innovations on social outcomes. This will provide valuable insights into the broader implications of remanufacturing practices.

In this article we argue that the disruptive social implications of skill-replacing technological innovations are determined neither by human characteristics, such as “low skills” or “low cognition,” nor by task characteristics, such as “routine,” as it is typically assumed in the predominant economics and management science literature, but by the cybernetic characteristics of the innovations. We also propose that the negative effects of technological disruptions on human well-being cannot be fully understood without the use of a transdisciplinary approach involving cybernetics science and occupational science, and that it is urgent that policymakers look beyond their narrow effects on productivity and on the labor force, and consider instead the complexity of the interactions between cybernetic technologies and meaningful human occupations. We offer as an example the case of the fast adoption of online food delivery services and of remote work technologies during the COVID-19 pandemic. Ethical implications are derived from the arguments.