Social media analytics and value creation in urban smart tourism ecosystems
Information & ManagementPublished 16 January 2017
Tobias Brandt, Johannes Bendler, Dirk Neumann
Citations209
SJR quartileQ1
SJR score2.92
SNIP2.74
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TL;DR
It is shown that social media analytics captures spatial patterns within the city that relate to the presence of users and the environmental and topical engagement, and how these patterns serve as an input to value creation for smart urban tourism.
Abstract
In this article, we demonstrate the potential value that the spatial and semantic analysis of social media messages can provide to smart tourism ecosystems. Building upon a showcase of 600,000 Twitter messages in San Francisco, we illustrate insights for stakeholders within the tourism sector from various analyses, including kernel density estimation and latent Dirichlet allocation. We show that social media analytics captures spatial patterns within the city that relate to the presence of users and the environmental and topical engagement. Furthermore, we outline how these patterns serve as an input to value creation for smart urban tourism.
Keywords
Social SciencesBusiness, Management and Accounting
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