The effectiveness of e-word-of-mouth communication about smartphones purchase intention: digital influencer.
This chapter presents an importance-performance analysis to evaluate the ability of a destination's attributes to attract tourists through tourism stakeholder perceptions. In this case, one of Europe's larger destination cities, Lisbon, was considered. It departs from the proposition that tourists are not the most knowledgeable about a destination while the evaluation of a destination's competitiveness from the supply side perspective is scarce. This stakeholder feedback approach to identifying a destination's attributes to attract tourists showed that only 7 of the 40 attributes (five of them related to accessibility and technological infrastructures as municipality responsibility) fall in the IPA grid Concentrate Here quadrant, results that are consistent with the recently received Best City Destination and Best City Break World Travel Awards. This research shows the relevance of multiple stakeholders' feedback to evaluate a city's attributes, including the feedback about the city's need to improve its technological offer through an integrated digital strategy.
The chapter exposes the importance of tourism in the world economy, gives an overview of what academic and practitioners are doing regarding the use of engagement-facilitating technologies in tourism, and suggests avenues for further research. Authors give insights about the evolution and important of tourism. The chapter presents an overview of the state of the art on the use of engagement-facilitating technologies (mainly virtual and augmented reality) in research. Examples of applications of engagement-facilitating technologies are given. Authors suggest future research directions and present conclusions.
Hyperspectral instruments have been incorporated in satellite missions, providing data of high spectral resolution of the Earth. This data can be used in remote sensing applications, such as, target detection, hazard prevention, and monitoring oil spills, among others. In most of these applications, one of the requirements of paramount importance is the ability to give real-time or near real-time response. Recently, onboard processing systems have emerged, in order to overcome the huge amount of data to transfer from the satellite to the ground station, and thus, avoiding delays between hyperspectral image acquisition and its interpretation. For this purpose, compact reconfigurable hardware modules, such as field programmable gate arrays (FPGAs) are widely used.This paper proposes a parallel FPGA-based architecture for endmember's signature extraction. This method based on the Vertex Component Analysis (VCA) has several advantages, namely it is unsupervised, fully automatic, and it works without dimensionality reduction (DR) pre-processing step. The architecture has been designed for a low cost Xilinx Zynq board with a Zynq-7020 SoC FPGA based on the Artix-7 FPGA programmable logic and tested using real hyperspectral data sets collected by the NASA's Airborne Visible Infra-Red Imaging Spectrometer (AVIRIS) over the Cuprite mining district in Nevada. Experimental results indicate that the proposed implementation can achieve real-time processing, while maintaining the methods accuracy, which indicate the potential of the proposed platform to implement high-performance, low cost embedded systems, opening new perspectives for onboard hyperspectral image processing.
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