Objectives: The study reported in this article aimed to identify: (i) the most relevant applications supported by smart city infrastructure with an impact on the provision of healthcare; (ii) the types of technologies being used; (iii) the maturity levels of the applications being reported; and (iv) major barriers for their dissemination. Methods: A systematic review was performed based on a literature search. Results: A total of 44 articles were retrieved. These studies reported on smart city applications to support population surveillance, active ageing, healthy lifestyles, disabled people, response to emergencies, care services organization, and socialization. Conclusions: Most of the included articles were either of a descriptive and conceptual nature or in an early stage of development, which means that a major barrier for their dissemination is their lack of concreteness.

The tourism sector is presently facing new challenges resulting from the increasing digitalization of society. Boosted by industry 4.0, new tourism dynamics are emerging. Nonetheless, the real significance of this revolutionary trend and its implications still lack further development. Aiming to assess the state-of-the-art about the digital transformation on the tourism sector, triggered by the 4.0 paradigm, the present study followed a systematic literature review approach, adopting the PRISMA protocol guidelines. A total of 44 manuscripts were considered relevant for analysis. The findings illustrate that the 4.0 paradigm is being embraced from three main perspectives: the visitor-technology interaction and its influence on decision-making, the digital competencies in tourism students, and the technology penetration in different sub-sectors of the supply chain. However, studies conceptualizing the 4.0 paradigm in the tourism sector are lacking, beyond empirical research on areas such as digital skills, pros and cons of industry 4.0 technologies, and spatial consequences.

Since none of the existing systematic reviews of the literature related to smart cities have focused on smart cities applications using context-aware features, this study aims to provide a comprehensive view of (1) the characteristics of context-aware applications supported by smart cities’ infrastructures, (2) the characteristics of the context-aware technologies being used, and (3) the maturity level of the identified applications. An electronic search was conducted on Scopus, Web of Science, and IEEE Xplore databases, combining relevant keywords. After the studies’ selection, 27 studies were included. The results show the interest in using context-aware features to develop smart cities’ applications targeting public health, tourism experience, urban mobility, active citizenship, shopping experience, management of urban infrastructures, public alerts, recommenders, and smart environments. Moreover, the applications reported by the included studies do not allow the execution of actions without the explicit consent of the users, and they integrate personal sensors, sensors deployed in the city and crowdsourcing mechanisms to acquire primary context attributes (i.e., location, activity, and environment) and secondary context attributes (i.e., speed, physical activity, points of interest, stress, and tourists’ emotions). In addition, the included studies present scarce details about context reasoning, data privacy, integrity, and confidentiality, data aggregation and accuracy, and data interoperability. Finally, the results also indicate low maturity level of the developed applications, which is evidenced by the lack of user-centred evaluations, as well as by the difficulty in integrating important technologies being developed for smart cities.

Territorial, economic and social cohesion in European Union (EU) regions are major challenges that regional policies are aimed at. These policies have a strong focus on innovation-driven models as key processes for reducing disparities and promoting regional development. Since the 1980s, innovation and technology policies have gained momentum and legitimacy to stimulate multiple development patterns and growth models, mainly from national economic dynamics to well performing regional systems. Theories of knowledge and learning have been developed in more successful places, producing concepts that seem unattainable for less successful ones. Given that less developed regions have been overlooked in innovation studies, this paper reviews the literature on territorial innovation models in Europe in order to understand theoretical and practical gaps for these regions and to identify trends that support the need to redirect conceptual, political and instrumental attention of territorial innovation systems. It debates the different forms of innovation in regions, the variety and role of actors, the quest for geographical and place-based resources, the determinants for innovation and the ‘how’ and ‘for what’ demands of regional development. The discussion anticipates critical questions that try to promote a ‘normative turn’ in innovation policy, propose research avenues and discuss policy implications.