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The purpose of this paper is to introduce a three-echelon multimodal transportation problem applied to a humanitarian logistic case study that occurred in Mexico.

This study develops a methodology combining a transshipment problem and an adaptation of the multidepot heterogeneous fleet vehicle routing problem to construct a mathematical model that incorporates the use of land-based vehicles and drones. The model was applied to the case study of the Earthquake on September 19, 2017, in Mexico, using the Gurobi optimization solver.

The results ratified the relevance of the study, showing an inverse relationship between transportation costs and delivery time; on the flip side, the model performed in a shorter CPU time with medium and small instances than with large instances.

While the size of the instances limits the use of the model for big-scale problems, this approach manages to provide a good representation of a transportation network during a natural disaster using drones in the last-mile deliveries.

The present study contributes to a model that combines a vehicle routing problem with transshipment, multiple depots and a heterogeneous fleet including land-based vehicles and drones. There are multiple models present in the literature for these types of problems that incorporate the use of these transportation modes; however, to the best of the authors’ knowledge, there are still no proposals similar to this study.

This paper investigates the roles and activities of the orchestrators of innovation networks constituted within cities. In this sense, the authors expected to contribute for research related to the roles and activities of the orchestrators of innovation networks constituted in the scope of cities given the large number and diversity of complex and multiple dimensions social actors (Castells & Borja, 1996; Reypens, Lievens & Blazevic, 2019).

The authors conducted an exploratory research with a single case study in depth. The case chosen for the paper is the case of Pacto Alegre. The case selection criterion was the relevance of the Pacto Alegre Case in the construction of an innovation network in the city of Porto Alegre, Rio Grande do Sul, Brazil. The Pacto Alegre network was proposed by the Alliance for Innovation (composed of the three main Universities in the city: UFRGS, PUCRS and UNISINOS) and by the Municipality of Porto Alegre. In addition to these actors, the network counts on financial and development institutions as sponsors, with media partners, with design partners, with an advisory board (composed of five professionals considered references in different themes) and composed by more than 100 companies, associations and institutions from different areas (Pacto Alegre, 2019). Data were collected from 09/20/2020 to 11/30/2020 through in-depth interviews, documentary research and non-participant observation.

In this research, the authors highlighted the city as a community that involves and integrates various actors, such as citizens and companies, to collaborative innovation activities. For this, they proposed a framework on innovation networks and network orchestration. In this direction, seven dimensions of the “orchestration of innovation networks” were assumed as a result of the combination of previous studies by Dhanaraj and Parke (2006), Hurmelinna-Laukkanen et al. (2011) and da Silva and Bitencourt (2019). In the sequence, different roles of orchestrators associated with the literature were adopted based on the work by Pikkarainen et al. (2017) and Nielsen and Gausdal (2017).

The authors’ results advance in relation to other fields by promoting the expansion of the “orchestration of innovation networks” model with the combination of distinct elements from the literature in a coherent whole (agenda setting, mobilization, network stabilization, creation and transfer of knowledge, innovation appropriability, coordination and co-creation) and in the validation of its applicability in the context of the innovation network studied. In addition, when relating different roles of orchestrators to the seven dimensions studied, it was realized that there is no linear and objective relationship between the dimensions and roles of the orchestrator, as in each dimension there may be more than one role being played in the orchestration.

Therefore, the findings suggest two theoretical contributions. First, the authors identified a role not discussed in the literature, here called the communicator. In the case analysis, the authors observed the communicator role through functions performed by a media partner of the innovation network and by a group of civil society engaged in the city's causes. Second, the authors indicated a new dimension of orchestration related to the management of communication in the innovation network and its externalities such as p. ex. civil and organized society, characteristic of an innovation network set up within a city.

Although several studies have proposed advances in the understanding of the orchestration of innovation networks (Dhanaraj & Parkhe, 2006; Ritala, Armila & Blomqvist, 2009; Nambisan & Sawhney, 2011; Hurmelinna-Laukkanen et al., 2011), the discussion on the topic is still a black box (Nilsen & Gausdal, 2017). More specifically, the authors identified a gap in the literature about the role and activities of actors in the city level. Few studies connected the regional dimension with the roles and activities of the orchestrators (Hurmelinna-Laukkanen et al., 2011; Pikkarainen et al., 2017), raising several challenges and opportunities to be considered by academics and managers.