casino 168

In order to obtain the PhD degree, Niels Buus Lassen has submitted his thesis entitled:Ìý

The Predictive Power of Social Media Data

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The PhD thesis contributes to the scholarly discussion on identifying the predictive power of social media and Google search data for the predictive modelling of sales and investor behaviour.Ìý
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The thesis consists of a kappa and research papers with five predictive models. A model for iPhone sales using Twitter data, a model for H&M sales using Facebook data and a model for Mikkeller beer sales using Facebook
and Google search data. A general model for predictions based on social media and Google search data.
Lastly a predictive model for investor behaviour using Google search data. The key contributions propose a
new conceptual Social Filtering Model, explaining how human behaviour on social media and Google searches
are filtered differently. This determines the potential use for data in a new Predictive Modelling Framework.

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Primary Supervisor:
Professor Ravi Vatrapu

Department of Digitalization

Copenhagen Business School

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Secondary Supervisor:

Associate Professor Lisbeth la Cour

Department of Economics

Copenhagen Business School

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Assessment Committee:

Associate Professor Abayomi Baiyere (Chair)

Department of Digitalization

Copenhagen Business School

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Professor Monica Singhania

Management Studies

University of Delhi

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Professor Ahmed Elragal

Department of Computer Science, Electrical and Space Engineering

Luleå University of Technology

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Thesis:
The thesis will be available fromÌý

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Reception:
The casino 168 PhD School will host a reception, which will take place immediately after the defence in Atrium.