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Journal ArticleDOI

Social media analytics and value creation in urban smart tourism ecosystems

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TLDR
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.
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This article is published in Information & Management.The article was published on 2017-09-01. It has received 159 citations till now. The article focuses on the topics: Social media analytics & Tourism.

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Creating value from Social Big Data: Implications for Smart Tourism Destinations

TL;DR: A set of regional tourist experiences related to a Southern European region and destination is explored, to derive patterns and opportunities of value creation generated by Big Data in tourism.
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Social-media data for urban sustainability

TL;DR: In this paper, the authors discuss challenges and opportunities for the use of social media data in sustainability research and practice at the city level, and identify useful directions for future research, and suggest that solutions to most SMD challenges already exist.
Journal ArticleDOI

Impact of corporate social responsibility on reputation—Insights from tweets on sustainable development goals by CEOs

TL;DR: The study reveals may be social influencer CEOs through CSR messages are trying to engage stakeholders strategically on Twitter, which in turn may had led to better CR, in terms of shares and likes by social capital present on Twitter.
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How are smart city concepts and technologies perceived and utilized? A systematic geo-Twitter analysis of smart cities in Australia

TL;DR: The results reveal that innovation, sustainability, and governance are the most popular smart city concepts and technologies, and internet-of-things, artificial intelligence, and autonomous vehicle technology are themost popular technologies.
Journal ArticleDOI

Digital Disruption beyond Uber and Airbnb—Tracking the long tail of the sharing economy

TL;DR: In this paper, the authors identify a long tail of 17 sectors and 47 subsectors in which a total of 165 unique sharing-economy actors operate, including sectors such as on-demand services, fashion and clothing, and food delivery.
References
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BookDOI

Density estimation for statistics and data analysis

TL;DR: The Kernel Method for Multivariate Data: Three Important Methods and Density Estimation in Action.
Journal ArticleDOI

Probabilistic topic models

TL;DR: Surveying a suite of algorithms that offer a solution to managing large document archives suggests they are well-suited to handle large amounts of data.
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The Rise of the Sharing Economy: Estimating the Impact of Airbnb on the Hotel Industry

TL;DR: In this article, the authors study the impact of the short-term accommodation market on the hotel industry and find that the impact is non-uniformly distributed, with lower-priced hotels and those hotels not catering to business travelers being the most affected.
Journal ArticleDOI

Probabilistic Topic Models

TL;DR: In this paper, a review of probabilistic topic models can be found, which can be used to summarize a large collection of documents with a smaller number of distributions over words.
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