SMART mobility via prediction, optimization and personalization

In this chapter, we present a methodological approach for Smart Mobility that integrates three key features: prediction, optimization, and personalization. They are integrated in such a way that when a travel menu is offered, predicted conditions are considered in the attributes of alternatives and optimized system-level policies are maintained....

Exploitative learning in inter-organizational projects: Evidence from Dutch infrastructure practices

Purpose - How learning is facilitated in inter-organizational projects remains underdeveloped in the literature. The aim of this study is to focus on viewing the relationship between the multiple organizations in a project, from a perspective of the learning aspect. Design/Methodology/Approach - This research analyses the learning trajectory...

The First (Beer) Living Lab: Learning to Sustain Network Collaboration for Digital Innovation

The Beer Living Lab was the first of a series of living labs established to analyse and improve complex cross-border trade and logistics challenges using innovative information technology. Unlike stable inter-firm networks where roles are formal and explicit, role taking and role assigning in the Beer Living Lab was highly dynamic. Although...