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Research Project

Research Center for Spatial and Organizational Dynamics

Authors

Publications

The senses in tourism design: a bibliometric review
Publication . Agapito, Dora
The importance of addressing multisensory aspects in the design of tourism experiences and places has become apparent in a recent strand of research. There has been a substantial growth of studies in the last decade across different countries and journals. This paper provides an up-to-date systematic overview of the evolution of research incorporating multisensory elements rather than individual sensory modalities. These studies can assist in the understanding and design of tourism experiences and inform future research. The lexical, temporal and co-citation networks of the 99 articles selected are described, as well as the methods they use. Findings indicate that opportunities for future research on tourism experience design around the senses are related to sustainability and technology.
Tri-Collab: a machine learning project to leverage innovation ecosystems in Portugal
Publication . Marujo, Ângelo; Afonso, Bruno; Martins, Inês; Pires, Lisandro; Fernandes, Silvia C. Pinto de Brito
This project consists of a digital platform named Tri-Collab, where investors, entrepreneurs, and other agents (mainly talents) can cooperate on their ideas and eventually co-create. It is a digital means for this triad of actors (among other potential ones) to better adjust their requirements. It includes an app that easily communicates with a database of projects, innovation agents and their profiles, and the originality lies in the matching algorithm. Thus, co-creation can have better support through this assertive interconnection of players and their resources. This work also highlights the usefulness of the Canvas Business Model in structuring the idea and its dashboard, allowing a comprehensive view of channels, challenges and gains. Also, the potential of machine learning in improving matchmaking platforms is discussed, especially when technological advancements allow for forecasts and match people at scale.

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Funders

Funding agency

Fundação para a Ciência e a Tecnologia

Funding programme

6817 - DCRRNI ID

Funding Award Number

UID/SOC/04020/2019

ID