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Titlebook: Information and Communication Technologies in Tourism 2017; Proceedings of the I Roland Schegg,Brigitte Stangl Conference proceedings 2017

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Entrepreneurship in the Contemporary Tourism Ecosystem: The Case of Incoming Tour Operators in Taiwahe impact of technological innovation and how their solutions for visitor needs may replace traditional functions of ITOs in the industry value chain. The results indicate that the proposed progression of this sector is supported with the supplement of a platform business model and open innovation.
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Big Data as Input for Predicting Tourist Arrivals increase the prediction performance of tourist arrivals compared to using past arrivals alone (i.e. autoregressive approach) and (2) data mining techniques (i.e. k-NN) can outperform statistical approaches, like linear regression.
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se studies. The contents of the book are based on the 2017 ENTER eTourism conference, held in Rome. The volume will be of interest to all academics and practitioners who wish to keep abreast of the latest developments in eTourism.978-3-319-51167-2978-3-319-51168-9
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Rodolfo Baggio,Miriam Scaglionet in which it is entrenched;. .Concentrates on the metaverse’s popularity and potential as well as the discords and dangers it presents...978-3-031-63487-1978-3-031-63485-7Series ISSN 1860-4862 Series E-ISSN 1860-4870
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Jason L. Stienmetz,Daniel R. Fesenmaiert in which it is entrenched;. .Concentrates on the metaverse’s popularity and potential as well as the discords and dangers it presents...978-3-031-63487-1978-3-031-63485-7Series ISSN 1860-4862 Series E-ISSN 1860-4870
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nificantly faster parameterized algorithm for . parameterized by |.| when . (i.e. the vertex cover number), which by a recent result is best possible under ETH [Feldmann and Lampis, arXiv 2024]. Second, we prove that . is polynomial-time solvable for graphs with a 2-deletion set of size at most 2. T
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rch. This study advances the state of knowledge on the VRPMVTTW by revising and implementing a heuristic method for optimizing vehicle type and route selection. That implementation is applied to operational demand data serving over 1200 customer points for a downtown Toronto case study. Sensitivity
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