Agenda

A session on Advances in Business Analytics at the Analytics for Management and Economics annual conference is co-organized by ICMA and HSE St. Petersburg. (more…)

Matthijs Meire presented his paper entitled “Online review Network Dynamics of Restaurants in Local Competition”.

Congratulations to Nathalie Demoulin who has been elected as the National Representative for France and as a member of the Executive Committee at EMAC (European Marketing Academy).

More information about EMAC : http://www.emac-online.org/about-emac

Arno De Caigny has presented his paper entitled “Integrating e-commerce indicators in multichannel retail chain store efficiency analyses: A robust two-stage DEA approach”

Nathalie Demoulin presented her paper “The digitalization of retail store through the integration of online store through mobile apps and interactive kiosks”

Kristof Coussement organized  the stream in Business Analytics with 4 sessions (16 presentations)

Matthijs Meire presented his paper “The Impact of Local Competition on WOM”

Arno De Caigny presented his paper “Customer Life Event Prediction”

Minh Phan presented his paper “Detecting Online Student Dropout: A Machine Learning Approach”

Stefano Nasini presented his papers “Road network pricing, regulation and expansion for multiple vehicle categories: an integrated framework” and “A scalable interior-point method for classes of minimum cost  flows problems”

Stefano Nasini presented his papers “A bilevel programming approach for global investment strategies with financial intermediation”and “Min cost flow in bipartite networks: a specialized interior-point-method”

Kristof Coussement presented his paper “Efficiency in Multi-channel Retail Chain Store: A Two-stage DEA Approach with Environmental Factors and Ecommerce Indicators”

Minh Phan presented his paper “The beneficial effect of ensemble learning in predicting student drop-out in online learning environment”

Arno De Caigny presented his paper “Integrating textual information in customer churn prediction models: A deep learning approach”

Nathalie Demoulin organized the SERVSIG Conference at IÉSEG School of Management

Stefano Nasini presented his paper “Designing a road network with toll setting and hazmat transportation”

Nathalie Demoulin presented her paper “Conceptualization And Measurement Of The Shopping Experience In An Omnichannel Context “

Nathalie Demoulin presented her paper “Etude De L’integration Asymetrique D’un Magasin En Ligne Dans Un Magasin Physique Pour Des Biens De Recherche Et Des Biens D’experience”

Stefano Nasini presented his paper “A bilevel programming approach for global investment strategies with financial intermediation”

Kristof Coussement presented his paper “Beyond clickthrough rate: measuring the true impact of personalized e-mail product recommendations”

Stefano Nasini presented his paper “On the estimation of pairwise influences in dynamic choices”

Kristof Coussement presented his papers “Leaf modeling: An application in customer churn prediction” and “Inferior member participation prevention in online research communities”

Kristof Coussement presented his paper “Minority report in research communities: The ‘participant’ future can be seen”

Stefano Nasini presented his paper “Using Early Click Information In Online Flash Sales Campaigns”

Title: Using Early Click Information in Online Flash Sales Campaigns

Speaker: Victor Martinez-de-Albeniz from IESE Business School, Barcelona, Spain

Demoulin N., Willem K., (2016), Irritating factors in the retail environments: the moderating effects of customers involvement and shopping motives

Swaen V., Demoulin N., Pauwels – Delassus V., (2016), Corporate Social Responsibility and Irresponsibility: How Do Customers React to Ambivalent CSR Information? Application in the Retailing

Demoulin N., De Kerviler G., Zidda P., (2016), Adoption of Proximity m-Payment Services: Perceived Value and Experience Effect

Antioco M., Bouten L., Coussement K., Hoozee S., (2016), Impression Management in CSR-related Press Releases: an Empirical Investigation based upon Textual Characteristics

Coussement K., Debaere S., De Ruyck T., (2016), Building Healthy Innovation Communities through Churn Prediction

Tessitore T., Geuens M., Adams L., (2016), Caution: May Contain Brands! Effects of Informational and Evaluative Textual Forewarnings of Product Placement

Swaen V., Demoulin N., Pauwels – Delassus V., (2016), How do consumers react to corporate social responsibility and irresponsibility in the retailing sector?

Tessitore T., Geuens M., Adams L., (2016), COULD YOU OR SHOULD YOU REACT AGAINST PRODUCT PLACEMENT?” THE EFFECTIVENESS OF INFORMATIONAL VERSUS EVALUATIVE TEXTUAL FOREWARNINGS OF PRODUCT PLACEMENT

Geuens S., Coussement K., De Bock K., (2015), An Evaluation Framework for Collaborative Filtering on Purchase information in Recommendation Systems

Debaere S., Coussement K., De Ruyck T., (2015), Sustaining Structural Co-creation: Proactive Churn Identification in Innovation Communities

Baumann A., Lessmann S., Coussement K., De Bock K. W., (2015), Maximize What Matters: Predicting Customer Churn with Decision-Centric Ensemble Selection

Tessitore T., Van Kerckhove A., Geuens M., (2015),  Starting off with an apology: Paving the way to consumer persuasion?

Geuens S., De Bock K., Coussement K., (2015), Integrating Behavioral, Product, and Customer Data in Hybrid Recommendation Systems Based on Factorization Machines

Geuens S., De Bock K. W., Coussement K., (2015), Integrating Behavioral, Product, and Customer Data in Hybrid Recommendation Systems Based on Factorization Machines

Geuens S., Coussement K., De Bock K. W., (2015), An Evaluation Framework for Collaborative Filtering on Purchase information in Recommendation Systems

De Kerviler G., Demoulin N., Zidda P., (2015), Drivers of smartphone adoption as a shopping assistant

De Kerviler G., Demoulin N., Zidda P., (2015), Why shoppers use their smartphone for an in-store purchase ?

Debaere S., Coussement K., De Ruyck T., (2015), A Churn Prediction Decision Support System as an Effective Weapon to Sustain Healthy Online Research Communities

Willems K., Jeroen S., Demoulin N., (2015), Lost in store navigation: What’s the bottom line of irritation, shortfall, and unplanned purchases

Coussement K., Verstraeten G., (2015), A Bagging-Based Undersampling Strategy for Classification: A Customer Churn Prediction Application

Coussement K., Harrigan P., Daly T., Lee J., Soutar G., (2015), Identification of Market Mavens on Social Media

Coussement K., Demoulin N., (2015), Identifying text-mining adoption drivers

De Kerviler G., Demoulin N., Zidda P., (2015), Drivers of smartphone adoption as a shopping assistant

De Kerviler G., Demoulin N., Zidda P., (2015), Pourquoi les acheteurs utilisent leur smartphone pour un achat en magasin ?

Geuens S., (2015), Factorization Machines for Hybrid Recommendation Systems Based on Behavioral, Product, and Customer Data, in: Hannes Werthner, Markus Zanker, Jennifer Golbeck, and Giovanni Semeraro(Eds.) in Proceedings of the 9th ACM Conference on Recommender Systems, ACM, New York, pp. 379-382

Kristof Coussement presents his paper Text Mining Adoption Drivers on the 27th European Conference on Operational Research.

Kristof Coussement presents ‘Identification of Market Mavens on Social Media’ at the International Conference on Contemporary Thinking in Marketing: Big Data Analytics in Marketing.

Kristof Coussement presents ‘A Bagging-Based Undersampling Strategy for Classification: A Customer Churn Prediction Application’ at the International Conference on Contemporary Thinking in Marketing: Big Data Analytics in Marketing.

Stijn Geuens presents ‘Recommendation Systems for E-Commerce Evaluating Collaborative Filtering in a binary Purchase Setting’ at the Marketing Research Seminar Series at IÉSEG School of Management.

Kristof Coussement delivers workshop analytical Customer Relationship Management in IESEG’s International MBA program.

Kristof Coussement’s study ‘Identification of Market Mavens on Social Media’ is presented at the Australian & New Zealand Marketing Academy Conference.

Koen W. De Bock presents ‘Multicriteria Optimization for Cost-Sensitive Ensemble Selection in Business Failure Prediction’ at INFORMS Conference of the International Federation of Operational Research Societies.

Kristof Coussement presents ‘A Bagging-based Undersampling Strategy for Classification : A Customer Churn Prediction Application’ at INFORMS Conference of the International Federation of Operational Research Societies.

Kristof Coussement’s study ‘Improved Decision Making by Incorporating Expert Opinions into Statistical Models’ is presented at INFORMS Conference of the International Federation of Operational Research Societies.