Showing 1 - 5 of 5
Purpose: Many Industry 4.0 projects fail because impending sociotechnical risks are managed insufficiently. An indicator-based, sociotechnical risk monitoring can help to overcome this challenge. However, its effectiveness depends significantly on selecting appropriate risk indicators. This...
Persistent link: https://www.econbiz.de/10012744729
Purpose: Industry 4.0 has increased the availability of real-time data in manufacturing systems, but scientific evidence about the value stemming from such data is still lacking in several fields. This paper studies data-driven approaches for the assignment of tasks to a fleet of mobile robots...
Persistent link: https://www.econbiz.de/10012744731
Scientific knowledge is crucial to opening up new possibilities for major technological advances. However, the role of science has not been regarded as important in the innovations leading to modern steelmaking. In addition, how did science begin to play an important role? Mokyr focuses on the...
Persistent link: https://www.econbiz.de/10012794038
Responding to research questioning the significance of external factors such as industry and country in explaining the patterns of innovation-related activities, we examine the effects of factors both internal and external to the firm. Analyzing CIS data, we find that external factors are more...
Persistent link: https://www.econbiz.de/10012794160
New solutions in artificial intelligence and machine learning require researchers to study, in greater depth, the nature, and dynamics of emerging industries like biotechnology or pharmaceuticals. With his pioneering work, Luigi Orsenigo has demonstrated, in great detail, how new technologies...
Persistent link: https://www.econbiz.de/10012794231