Publications

2022

Coussement K., De Bock K. , Geuens S., (2022), A Decision-analytic Framework for Interpretable Recommendation Systems with Multiple Input Data Sources: A Case Study for a European E-tailer, Annals of Operations Research, 315(2), pp. 671-694
Meire M., Coussement K., De Caigny A., Hoornaert S., (2022), Does it pay off to communicate like your online community? Evaluating the effect of content and linguistic style similarity on B2B brand engagement, Industrial Marketing Management, 106(2022), pp. 292-307
Weismueller J., Harrigan P., Coussement K., Tessitore T., (2022), What makes people share political content on social media? The role of emotion, authority and ideology, Computers in Human Behavior, 129(1), pp. 107-150
Nguyen T. K., Hsu P. F., (2022), More Personalized, More Useful? Reinvestigating Recommendation Mechanisms in E-commerce, International Journal of Electronic Commerce, 26(1), pp. 90-122+C2199
Reihaneh M., Abouei Ardakan M., Eskandarpour M., (2022), An exact algorithm for the redundancy allocation problem with heterogeneous components under the mixed redundancy strategy, European Journal of Operational Research, 297(3), pp. 1112-1125
Cocco H., Demoulin N., (2022), Designing a seamless shopping journey through omnichannel retailer integration, Journal of Business Research, 150(November), pp. 461-475
Becker L., Coussement K., Buettgen M., Weber E., (2022), Leadership in Innovation Communities: The Impact of Transformational Leadership Language on Member Participation, Journal of Product Innovation Management, 39(3), pp. 371-393
Jarvis L., Eden R., Wright A., Burton-Jones A., (2022), Integrating information systems and institutional insights: Moving the conversation forward with examples from digital health, Research in the Sociology of Organizations, 83(1), pp. 211-233
Wang Y., Li X., Zhang L., Mo D., (2022), Configuring products with natural language: A simple yet effective approach based on text embeddings and multilayer perceptron, International Journal of Production Research, 60(17), pp. 5394-5406

2021

Bertrand J., Weill L., (2021), Do Algorithms Discriminate Against African Americans in Lending?, Economic Modelling, 104(0), pp. 105619
Coussement K., Benoit D., (2021), Interpretable Data Science for Decision Making, Decision Support Systems, 150(November), pp. 1-6
De Caigny A., Coussement K., Verbeke W., Idbenjra K., Phan M., (2021), Uplift Modeling And Its Implications For B2B Customer Churn Prediction: A Segmentation-Based Modeling Approach, Industrial Marketing Management, 99(2021), pp. 28-39
De Caigny A., De Bock K. W., (2021), Spline-Rule Ensemble Classifiers with Structured Sparsity Regularization for Interpretable Customer Churn Modeling, Decision Support Systems, 150(113523), pp. 1-14
Harrigan P., Daly T., Coussement K., Lee J., Soutar G., Evers U., (2021), Identifying Influencers on Social Media, International Journal of Information Management, 56(February), pp. 1-11
James T. L., Ziegelmayer J. L., Scott A., Fox G., (2021), A Multiple-Motive Heuristic-Systematic Model for Examining How Users Process Android Data and Service Access Notifications, Database for advances in information systems, 52(1), pp. 91-122
Köles B., Nagy P., (2021), Digital object attachment, Current Opinion in Psychology, 39(1), pp. 60-65
Lessmann S., Haupt J., Coussement K., De Bock K. W., (2021), Targeting Customers for Profit: An Ensemble Learning Framework to Support Marketing Decision-making, Information Sciences, 557(May), pp. 286-301
Meire M., (2021), Customer comeback: empirical insights into the drivers and value of returning customers, Journal of Business Research, 127(0), pp. 193-205
Moysan Y., (2021), OK Google, what is the future of voice in banking?, Journal of Digital Banking, 6.1(May 2021), pp. 1-6+C713
Moysan Y., Silva A., (2021), Les créatures artificielles Spoon, nouvelle étape de la transformation digitale, Revue Banque, 851 – 852(Janv 2021), pp. 126-128
Sulikowski P., Zdziebko T., Coussement K., Dyczkowski K., Kluza K., Sachpazidu-Wójcicka K., (2021), Gaze and Event Tracking for Evaluation of Recommendation Driven Purchase, Sensors, 21(4), pp. 138

2020

Chumpitaz R., Paparoidamis N. G., (2020), The impact of service/product performance and product-solving on relationship satisfaction, Academia – Revista Latinoamericana de Administración, 33(1), pp. 95-113
Demoulin N., Coussement K., (2020), Acceptance of Text-Mining Systems: The Signaling Role of Information Quality, Information and Management, 57(1), pp. 1-11
De Caigny A., Coussement K., De Bock K. W., (2020), Leveraging Fine-Grained Transaction Data for Customer Life Event Predictions, Decision Support Systems, 130(March), pp. 1-12
De Bock K., Coussement K., Lessmann S., (2020), Cost-Sensitive Multicriteria Ensemble Selection: A Framework For Business Failure Prediction When Misclassification Costs Are Uncertain, European Journal of Operational Research, 285(2), pp. 612-630
Köles B., Nagy P., (2020), Digital object attachment, Current Opinion in Psychology, 39(1), pp. 60-65
Moysan Y., (2020), Le vocal dans la banque et l’assurance, état des lieux et perspectives, Revue Banque, 845(Juin 2020), pp. 60 62
Harrigan P., Coussement K., Lancelot Miltgen C., Ranaweera C., (2020), The Future of Technology in Marketing; Utopia or Dystopia?, Journal of Marketing Management, 36(3-4), pp. 211-214
Coussement K., Phan M., De Caigny A., Benoit D. F., Raes A., (2020), Predicting Student Dropout In Subscription-based Online Learning Environments: The Beneficial Impact Of The Logit Leaf Model, Decision Support Systems, 135(August), pp. 1-11
Savoli A., Barki H., Pare G., (2020), Examining How Chronically Ill Patients’ Reactions to, and Effective Use of Information Technology Can Influence How Well They Self-Manage Their Illness, MIS Quarterly, 44(1), pp. 351-389
Van Den Broeke M., Devolder B., Creemers S., Boute R., (2020), Product platform replacement: impact of performance objectives, innovation speed, and competition, International Journal of Technology Management, 85(1), pp. 21-41

2019

Debaere S., Devriendt F., Brunneder J., Verbeke W., De Ruyck T., Coussement K., (2019), Reducing Inferior Member Community Participation Using Uplift Modeling: Evidence From A Field Experiment, Decision Support Systems, 123(August), pp. 1-12
De Caigny A., Coussement K., De Bock K., Lessmann S., (2019), Incorporating Textual Information in Customer Churn Prediction Models Based on a Convolutional Neural Network, International Journal of Forecasting, 36(4), pp. 1563-1578
De Kerviler G., Rodriguez C., (2019), Luxury brand experiences and relationship quality for millennials: the role of self-expansion, Journal of Business Research, 102(C), pp. 250-262
Demoulin N., Willem K., (2019), Servicescape Irritants and Customer Satisfaction: The Moderating Role of Shopping Motives and Involvement, Journal of Business Research, 104(November), pp. 295–306
Kim P. H., Kotha R., Fourné S., Coussement K., (2019), Taking Leaps of Faith: Evaluation Criteria and Resource Commitments for Early-stage Inventions, Research Policy, 48(6), pp. 1429-1444
Meire M., Hewett K., Ballings M., Kumar V., Van den Poel D., (2019), The Role of Marketer Generated Content in Customer Engagement Marketing, Journal of Marketing, 83(6), pp. 21-42
Moysan Y., (2019), Intelligence Artificielle: Les apports concrets pour l intelligence marketing, Survey Magazine, T2 2019, pp. 48-50
Moysan Y., Inn P., (2019), agence bancaire de demain : quelle place pour l humain ?, Revue Banque, 827 (Janvier 2019), pp. 90-92

2018

Antioco M., Coussement K., (2018), Misreading of consumer dissatisfaction in online product reviews: Writing style as a cause for bias, International Journal of Information Management, 38(1), pp. 301-310
Bruneau V., Zidda P., Swaen V., (2018), Are loyalty program members really engaged? Measuring customer engagement in loyalty programs, Journal of Business Research, 91, pp. 144-158
Debaere S., Coussement K., De Ruyck T., (2018), Multi-label Classification of Member Participation in Online Innovation Communities, European Journal of Operational Research, 270(2), pp. 761-774
De Caigny A., Coussement K., De Bock K., (2018), A New Hybrid Classification Algorithm for Customer Churn Prediction Based on Logistic Regression and Decision Trees, European Journal of Operational Research, 269(2), pp. 760-772
De Kerviler G., Audrezet A., Guidry Moulard J., (2018), Authenticity under threat: when social media influencers need to go beyond self-presentation, Journal of Business Research, 117(September), pp. 557-569
Geuens S., Coussement K., De Bock K., (2018), A Framework for Configuring Collaborative Filtering-based Recommendations Derived from Purchase Data, European Journal of Operational Research, 265(1), pp. 208-218
Moysan Y., (2018), Open banking vers des banques plates-formes ou en kit, Banque & Stratégie, 372(Septembre 2018), pp. 30-33
Moysan Y., Zeitoun J., (2018), Chatbots as a lever to redefine customer experience in banking, Journal of Digital Banking, 3, pp. 1-8

2017

Bequé A., Coussement K., Gayler R., Lessmann S., (2017), Approaches for Credit Scorecard Calibration: An Empirical Analysis, Knowledge-Based Systems, 134(15), pp. 213-227
Coussement K., Debaere S., De Ruyck T., (2017), Inferior Member Participation Identification in Innovation Communities: The Signaling Role of Linguistic Style Use, Journal of Product Innovation Management, 34(5), pp. 565-579
Coussement K., Lessmann S., Verstraeten G., (2017), A Comparative Analysis of Data Preparation Algorithms for Customer Churn Prediction: A Case Study in the Telecommunication Industry, Decision Support Systems, 95(March), pp. 27-36
Moysan Y., (2017), Robots et intelligence artificielle investissent la banque privée et la banque de détail, Revue Banque, 803-804(January 2017), pp. 124-128
Paparoidamis N., Moysan Y., (2017), Digital, Data et Contenu transforment le métier, Survey Magazine, T2 2017(Avril), pp. 27-29
Moysan Y., (2017), Social selling: les réseaux sociaux pour dépasser ses objectifs commerciaux, Revue Banque, 812, pp. 73-76
Moysan Y., Zarour A., (2017), Les chatbots, nouveau levier de digitalisation de la relation client, Revue Banque, 813(November 2017), pp. 66-70

2016

Charry K., Coussement K., Demoulin N., Heuvinck N., (2016), Marketing Research with IBM SPSS Statistics, 978-1-4724-7745-3 , Routledge, London, 264 pages
De Kerviler G., Demoulin N., Zidda P., (2016), Adoption of in-store mobile payment: Are perceived risk and convenience the only drivers?, Journal of Retailing and Consumer Services, 31(July), pp. 334-344
Demoulin N., Djelassi S., (2016), An Integrated Model of Self-Service Technology (SST) Usage in a Retail Context, International Journal of Retail & Distribution Management, 44(5), pp. 540-559
Demoulin N., Coussement K., (2016), L’adoption des outils de text-mining : un choix stratégique des entreprises ayant une forte orientation client , Survey Magazine, (T2), pp. 32
Debaere S., Coussement K., Van Neck S., De Ruyck T., (2016), Minority Report in Market Research Online Communities: The future can be seen, member disengagement can be prevented, in: Tim Macer et al.(Eds.) in ASC 2016. Are We There Yet? Where Technological Innovation is Leading Research
Moysan Y., (2016), Big Data: des opportunités sur l’ensemble de la chaîne de valeur, Revue Banque, (800), pp. 62-66
Moysan Y., Paparoidamis N., (2016), Le beacon au service des réseaux bancaires ?, Revue Banque, 796, pp. 74-77
Moysan Y., Paparoidamis N., (2016), Can beacons be a source of inspiration for banks to increase sales and improve customer experience?, Journal of Digital Banking, 1, pp. 1-9
Moysan Y., (2015), Des ventes d’assurance finalisées en ligne marginales, Courtage News, pp. 56-57

2015

Coussement K., Harrigan P., Benoit D., (2015), Improving Direct Mail Targeting Through Customer Response Modelling, Expert Systems with Applications, 42(22), pp. 8403–8412
Coussement K., Vindevogel B., (2015), Global.com: Building Analytical Capabilities in the Mobile Telecom Market, Case Centre, case study 315-096-1, teaching note 315-096-8
Coussement K., Benoit D., Antioco M., (2015), A Bayesian Approach for Incorporating Expert Opinions into Decision Support Systems: A Case Study of Online Consumer-Satisfaction Detection, Decision Support Systems, 79, pp. 24-32
Coussement K., Boujena O., De Bock K. W., (2015), Data Driven Customer Centricity: CRM Predictive Analytics, in: T. Tsiakis(Eds.), Trends and Innovations in Marketing Information Systems, 9781466684591, IGI Global, Hershey, PA
Cabooter E., Weijters B., Geuens M., Iris V., (forthcoming), Effects of scale format statement polarity and numbering on response option interpretation and use, Journal of Business Research
Charry K., Coussement K., Demoulin N., Heuvinck N., (2015) Marketing Research with IBM SPSS Statistics, Gower Publishing.
Moysan Y., Grynbaum L., (2015), e assurance / m assurance, 978-2-35474-214-0, Les Éditions de L’Argus de l’assurance, Paris

Past publications

Coussement K., Harrigan Paul, (2014) All You Need Is True Love (With Your Customers)! A Customer Relationship Management Fairy Tale, Gower Publishing.Ghent University Press,, Ghent.
Coussement K., Van den Bossche F.A.M., De Bock K. W., (2014). Data Accuracy’s Impact on Segmentation Performance: Benchmarking RFM Analysis, Logistic Regression, and Decision Trees, Journal of Business Research, 67 (1) 2751-2758.
Coussement K., (2014). Improving Customer Retention Management through Cost-sensitive Learning, European Journal of Marketing, 48 (3/4) 477 – 495.
Moysan Y., (2014), Les objets connectés dans le secteur bancaire: révolution ou simple évolution?, Revue Banque, 776
Coussement K., De Bock K. W., (2013). Customer Churn Prediction in the Online Gambling Industry: The Beneficial Effect of Ensemble Learning, Journal of Business Research, 66 (9) 1629-1636.
Coussement K., De Bock K. W., Neslin S.A., (2013) Advanced Database Marketing: Innovative Methodologies & Applications of Managing Customer Relationships , Gower Publishing.Ghent University Press,Gower,, Ghent., London.
Coussement K., De Bock K. W., (2013), Ensemble Learning in Database Marketing , in: Advanced Database Marketing: Innovative Methodologies & Applications of Managing Customer Relationships .
Coussement K., De Bock K. W., (2013), Textual Customer Data Handling for Quantitative Marketing Analysis, in: Advanced Database Marketing: Innovative Methodologies & Applications of Managing Customer Relationships.
De Bock K. W., Van den Poel D., (2012). Reconciling Performance and Interpretability in Customer Churn Prediction using Ensemble Learning based on Generalized Additive Models, Expert Systems with Applications, 39 (8) 6816-6826.
Moysan Y., Maymo V., (2012), Stratégie bancaire de développement durable: Levier humain et nouvelles technologies : deux facteurs de succès , Revue Banque, 754
Moysan Y., (2011), Banques américaines et réseaux sociaux: une relation privilégiée avec la communauté, Banque & Stratégie
De Bock K. W., Van den Poel D., (2011). An empirical evaluation of rotation-based ensemble classifiers forcustomer churn prediction, Expert Systems with Applications, 38 (10) 12293-12301.
Coussement K., Buckinx W., (2011). A probability-mapping algorithm for calibrating the posterior probabilities: A direct marketing application, European Journal of Operational Research, 214 (3) 732-738.
Coussement K., Demoulin N., Charry K., (2011) Marketing Research with SAS Enterprise Guide , Gower Publishing.Ghent University Press,Gower,Gower,, Ghent., London., Farnham
Coussement K., Benoit D.F., Van den Poel D., (2010). Improved Marketing Decision Making in a Customer Churn Prediction Context Using Generalized Additive Models, Expert Systems with Applications, 37 (3) 2132-2143.
De Bock K. W., Coussement K., Van den Poel D., (2010). Ensemble Classification Based on Generalized Additive Models, Computational Statistics & Data Analysis, 54 (6) 1535-1546.
De Bock K. W., Van den Poel D., (2010). Predicting website audience demographics for web advertising targeting using multi-website clickstream data, Fundamenta Informaticae, 98 (1) 49-67.
De Bock K. W., Van den Poel D., (2010), Ensembles of probability estimation trees for customer churn prediction, in: Trends in Applied Intelligent Systems.
De Bock K. W., Van den Poel D., (2010), Trends in Applied Intelligent Systems, in: 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems Springer-Verlag Berlin Heidelberg, pp.57-66.
Coussement K., Van den Poel D., (2009). Improving Customer Attrition Prediction by Integrating Emotions from Client/Company Interaction Emails and Evaluating Multiple Classifiers, Expert Systems with Applications, 37 (3) 2132-2143.
Coussement K., Van den Poel D., (2008). Improving Customer Complaint Management by Automatic Email Classification Using Linguistic Style Features as Predictors, Decision Support Systems, 44 (4) 370-382.
Coussement K., Van den Poel D., (2008). Integrating the voice of customers through call center emails into a decision support system for churn prediction, Information & Management, 45 (3) 164-174.
Coussement K., Van den Poel D., (2008). Churn prediction in subscription services: an application of support vector machines while comparing two parameter-selection techniques, Expert Systems with Applications, 34 (1) 313-327.