The impact of information and communication technologies (ICTs) on tourism and their foreseeable future evolution seem to be shaping a new scenario for destination management. This new context has given rise to the need for new management models. One of these models is the emerging smart tourism destination (STD), although it requires greater conceptual precision in order to become a new paradigm for destination management. This paper proposes a systemic model for STDs which facilitates the interpretation of the role of ICTs in the management of tourism destinations. Accordingly, the Delphi technique has been applied so as to determine the opinion of experts regarding the feasibility of the STD approach, its advantages and limitations and also the size of the impact of ICTs on the management and marketing of tourism destinations. This prospective exercise highlights the intensification of the impact of ICTs over the coming years which will shape a new scenario for management characterised by technology and data management. However, the efficiency of the STD approach will not depend exclusively only on technology but also on an appropriate governance of the destination that systematically incorporates the three levels of the STD, namely the strategic–relational, instrumental and applied levels.

Self-service business intelligence is about enabling non-expert users to make well-informed decisions by enriching the decision process with situational data, i.e., data that have a narrow focus on a specific business problem and, typically, a short lifespan for a small group of users. Often, these data are not owned and controlled by the decision maker; their search, extraction, integration, and storage for reuse or sharing should be accomplished by decision makers without any intervention by designers or programmers. The goal of this paper is to present the framework we envision to support self-service business intelligence and the related research challenges; the underlying core idea is the notion of fusion cubes, i.e., multidimensional cubes that can be dynamically extended both in their schema and their instances, and in which situational data and metadata are associated with quality and provenance annotations.