1,721,126 research outputs found
Linear programming models for a fair and efficient traffic assignment in congested road network
No full texthttp://hdl.handle.net/10446/7725
The role of innovation and internationalisation public policies on industrial performance
No full textEvaluating the efficiency of industrial policy for innovation and internationalisation: the case of Italian regions
No full text
The synergy among innovation and internationalisation policy for regional economic development
No full textLearning in Networks of SMEs: A Case Study in the ICT Industry
No full textThis paper contributes to the debate on the participation of SMEs in voluntary business networks by framing the relationship between the different types of network-based learning. Learning about networking, which concerns the capability to set, manage, and terminate a strategic alliance, is opposed to learning by networking, which involves the sharing and the joint creation of technical knowledge. The proposed framework is tested in the case of a network of Italian SMEs in the ICT sector. Empirical evidence confirms that learning about networking enables learning by networking and helps to balance those tensions and conflicts that inevitably mark the existence of inter-firm networks. Learning about alliance management provides networked IT entrepreneurs with the capabilities to compete against larger competitors. As learning paths also drive the evolution of inter-firm alliances, networked entrepreneurs would benefit from choosing collective goals in line with their alliance management capabilities
Gathering avoiding centralized pedestrian advice framework: an application for Covid-19 outbreak restrictions
No full textDue to the COVID-19 pandemic, the focus on everydays mobility has been
shifted from traditional means of transport to how to safely commute for work
and/or move around the neighbourhood. Maintaining the safe distance among
pedestrian becomes crucial in big pedestrian networks. Looking at personal goals,
such as walking through the shortest path, could lead to congestion phenomena
on both roads and crossroads violating the imposed regulations. We suggest a
centralized multi-objective approach able to assign alternative fair paths for users
while maintaining the congestion level as lower as possible. Computational results
show that, even considering paths that are not longer than the 1% with respect
to the shortest path for each pedestrian, the congestion phenomena are reduced of
more than the 50%
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