Master Dissertations

Students of Business Engineering/Data Analytics are required to write an academic master dissertation.

Please contact Prof. Dr. Dirk Van den Poel (mailto:dirk.vandenpoel A T UGent.be) for more information on the projects.

Class of 2015

Celine Chesterman and Maxim Koppen / Advisor: Prof. Dr. Dirk Van den Poel

Title: On the added value of complex trading rules in short-term equity price direction prediction

Class of 2013

Stijn Casneuf / Advisor: Prof. Dr. Sabine Wittevronghel

Title: (in Dutch) Verspreidingsmodellen voor hypes in sociale netwerken

Ine Lalement and Tessa De Backer / Advisor: Prof. Dr. Dirk Van den Poel

Title: Evaluation of the usefulness of eye-tracking in customer intelligence

Geraldine Dobbeleer and Bram De Cocker / Advisor: Prof. Dr. Patrick Van Kenhove

Title: (in Dutch) Leiden impulsaankopen tot onethisch handelen

Ward Torrekens / Advisor: Prof. Dr. Steve Muylle

Title: Telepresence in business meetings

Ruben Van Damme / Advisor: Prof. Dr. Mario Pandelaere

Title: (in Dutch) Het effect van eenheden op productevaluatie

Bart Van der Vurst / Advisor: Prof. Dr. Steve Muylle

Title: Community building on social networks versus using own platform

Philip Verhulst / Advisor: Prof. Dr. Geert Poels

Title: (in Dutch) Business architecture modelling in Choose: een gebruiksvriendelijke applicatie aangepast aan de user interface van de iPad

Class of 2012

Matthijs Meire / Advisor: Prof. Dr. Dirk Van den Poel

Title: Evaluating multiple computational semantics approaches intext mining for customer intelligence

Gert Verhaverbeke / Advisor: Prof. Dr. Bart Clarysse

Title: Configuration and transition of business models in the ICT industry: a study of content management systems

Class of 2011

Nick Callebaut / Advisor: Prof. Dr. Patrick Van Kenhove

Title: (in Dutch) Waarom kopen wij? De invloed van basismotivaties op aankoopgedrag

Rosemarijn Dumont / Advisor: Prof. Dr. Dirk Van den Poel

Title: A comparison of ensemble classifiers for dealing with imbalanced learning in churn prediction

Mathias Haentjens / Advisor: Prof. Dr. Dirk Van den Poel

Title: Predictive uncertainty in Customer Lifetime Value (CLV) prediction. How can uncertainty estimates be incorporated in the customer portfolio approach?

Olivier Janssen / Advisor: Prof. Dr. Geert Poels

Title: Developing a consolidation application based on the REA reference model

Eline Lostrie / Advisor: Prof. Dr. Dirk Van den Poel

Title: Data Augmentation by Including Weather Variables in order to Predict Purchase Behaviour of Seasonal Products

Elke Potums / Advisor: Prof. Dr. Dirk Van den Poel

Title: Improving the predictive performance of CRM models by including neighborhood effects by means of multilevel models: a cross-category comparison

Daan Raemdonck / Advisor: Prof. Dr. Dirk Van den Poel

Title: Exploring the Black Box: applying rule extraction techniques to ensemble classifiers for churn prediction

Philip Tack / Advisor: Prof. Dr. Dirk Van den Poel

Title: Investigating the impact of multi-item purchases on the same purchase occasion for cross-sell modeling

Michiel Van Herwegen / Advisor: Prof. Dr. Dirk Van den Poel

Title: Data augmentation by means of customer classification based on product category attitude an purchasing behaviour

Evelien Verbaenen / Advisor: Prof. Dr. Dirk Van den Poel

Title: Investigating the extra value of subjective discretionary income in CRM models

Stephanie Verstraete / Advisor: Prof. Dr. Maggie Geuens

Title: (Dutch) Attitudes bij maximizers en satisficers

Andrey Volkov / Advisor: Prof. Dr. Dirk Van den Poel

Title: Implementing a parallel geneic algorithm in Java: an application to a marketing optimization aCRM case

Class of 2010

Kim Oosterlynck / Advisor: Prof. Dr. Dirk Van den Poel

Title: Exploiting dynamic evolutions of market baskets to predict churn

Stijn Vannieuwenborgh / Advisor: Prof. Dr. Maggie Geuens

Title: (Dutch) Schaalinvloeden op responsestijlen

Class of 2009

Dennis Verhaert / Advisor: Prof. Dr. Dirk Van den Poel

Title: Investigating the added value of social network based variables in a customer churn prediction context

Evi Wittevrongel / Advisor: Prof. Dr. Dirk Van den Poel

Title: Maximizing gifts in fundraising based on the direct mail characteristics: which mail for which donor?

Abstract: This study investigates the role of seed money in combination with a certain threshold, the influence of referring to contributions of others and proposing specific donation amounts in direct mail fundraising appeals. Based on two field experiments, we investigate donation behavior (the decision to donate and the amount of donation) of more than 83,000 European households. We considered acquisition, retention and reactivation campaigns and found that a differentiation in the communication strategy is necessary in order to optimize charitable direct mail campaigns.