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This paper aims to create a new searchable 3D city model to help managers improve their decision-making.

This paper identifies data management basics and the key elements used in the new model design; it further analyzes five-city models, presents its findings and proposes analytical trends for the new model. It discusses the concepts underlying existing models, explains the benefit brought by the proposed model and demonstrates its robustness.

City systems can be interconnected, thanks to data digitization and the integration of new technologies into different management processes. Although there are several 3D city models available, none of those identified in this research can be queried for several sectors.

This model design can only be successfully realized in the presence of a public mandate. Potential limitations include information security risks and political non-acceptance.

The present work proposes a searchable and high performance model having the distinctive capacity to bring together city systems and perform real-time data analysis in order to extract important information needed to guide the city, and in the context of a global vision.

The purpose of this research is to highlight the impact of integrative leadership behaviors on network performance in local government networks.

The data were retrieved from a survey conducted on 362 local government network leaders in Italy. Their leadership behaviors were compared with the level of network performance anonymously self-reported.

The findings show that high frequency in the usage of a specific category of behavior does not always lead to high performance in local government networks. Moreover, leadership behaviors leading to highly performing networks are not always engaged most frequently by networks' leaders.

This research gives an empirical contribution to a neglected topic: network leadership. Moreover, the authors attempt to highlight how it is able to influence network performance.

This paper aims to examine the effect of a food-inspired multimedia intervention on children’s fruits and vegetables (F&V) consumption in a real-life setting during lunch.

Children in an elementary school in Bologna (Italy) in third, fourth and fifth grade, aged between 9 and 12 years old, were examined (N = 171). Two different types of messages (generic and specific) were used to test message-tailoring in two separate intervention groups and one control group. The two intervention groups (classes) were presented with multimedia messages during an English lesson before lunchtime, and their eating behavior during lunch at school was observed. All children were served the first and second course, vegetables and fruit during lunchtime. Data was analyzed with R 3.4.2. Mann–Whitney U, Kruskal–Wallis and ANOVA tests were used to test for group differences, ordered logistic regression for modelling fruit and vegetable consumption.

The results show that children receiving a specific message targeting F&V consumed more fruit than the other two study groups. No effect on vegetable consumption was observed. Results from an ordered logit model support the notion that the multimedia message impacted fruit intake in the specific message group when taking other variables into account, such as F&V consumption and availability at home and children’s attitude toward F&V.

While many studies have considered a group of intervention for understanding the effect of multimedia, this study is focused only on the effect of a message (generic or specific). Moreover, participants, children, were not informed that they were participating in a study on fruit and vegetables consumption, and thus were following their daily routine.