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Information and data fuel businesses and markets; thus, provision, generation, and interpretation of information and data are crucial to support managerial decisions. We demonstrate the generation of information through choice-based conjoint analysis using the example of electric vehicle charging. There are several alternatives for electric vehicle charging, with home charging being the main charging point for most of today's electric and plug-in hybrid electric vehicles. Therefore, a large number of consumers consider home charging as mandatory when buying a car. Before blindly investing in the construction of charging stations close to citizens' homes, decision makers (e.g., policy makers) need to learn about the impact of possible measures. This paper examines whether performance improvements in alternative vehicles (e.g., in terms of range or charging time) or governmental incentives (e.g., price subsidies) could compensate consumers for not having home charging stations. Findings reveal that, in general, both electric and plug-in hybrid electric vehicles profit from the construction of home charging stations, but its perceived benefit decreases continuously with faster charging times at public charging stations. However, at the present time, when the technological progress of electric vehicles remains low, monetary subsidies for environmentally friendly vehicles appear to mainly support only sales of plug-in hybrid electric vehicles.

The application of advanced methods of process management is essential, especially in those fields in which activity durations can be determined only vaguely, while at the same time a highly competitive market enforces strict completion schedules through the implementation of penalties. The technique presented is most suitable for determining a time‐cost trade‐off based on practice‐relevant assumptions. Completion time overruns usually cause penalties whose size depends on the degree of the overruns. To avoid such penalties – or at least to keep any losses low – distinct processes may be crashed by one or several measures that decrease the activity duration. The risk of an overrun has to be weighed against the expected costs and benefits of certain crashing measures and their combinations. The technique presented is a new PERT‐based, hybridised approach using simulated annealing and importance sampling to support typical process re‐engineering, which focuses on the efficient allocation of extra resources in order to achieve a more reliable performance without changing the precedence‐successor‐structure.

Part 2: IoT and Emerging Paradigm ; International audience ; eCall is a complex solution, aimed at supporting drivers and car passengers in the event of an accident in Europe. This automatic emergency call system for motor vehicles, planned by the European Union, is installed in all new models of passenger cars and light commercial vehicles. In this context, the contribution analyses the monetary value of the eCall system implementation.