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2. Life event-based marketing using AI. (2025). Meire, Matthijs ; Hoornaert, Steven ; Coussement, Kristof ; de Caigny, Arno.
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   RePEc:eee:jbrese:v:193:y:2025:i:c:s0148296325001729.

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3. Exploiting time-varying RFM measures for customer churn prediction with deep neural networks. (2024). Lessmann, Stefan ; Coussement, Kristof ; Bock, Koen W ; Mena, Gary ; Caigny, Arno.
   In: Annals of Operations Research.
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4. Exploiting Time-Varying RFM Measures for Customer Churn Prediction with Deep Neural Networks. (2024). Lessmann, S ; de Bock, K ; Coussement, K ; Mena, G ; de Caigny, A.
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5. A Longitudinal Tree-Based Framework for Lapse Management in Life Insurance. (2024). Valla, Mathias.
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   RePEc:hal:journl:hal-04178278.

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6. Profit-driven fusion framework based on bagging and boosting classifiers for potential purchaser prediction. (2024). Gao, Yuyang ; Zhang, Ying ; Chen, Yinghao ; Abedin, Mohammad Zoynul ; Wang, Jianzhou ; Yang, Hufang ; Liu, Zhenkun.
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7. Customer feature selection from high-dimensional bank direct marketing data for uplift modeling. (2023). Hu, Jinping.
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8. Till the cloud do us part: Technological disruption and brand retention in the enterprise software industry. (2023). Gelper, Sarah ; Langerak, Fred ; Kocaman, Bari.
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9. Customer determinants of used auto loan churn: comparing predictive performance using machine learning techniques. (2022). Patil, Vivek H ; Raju, Sudhakar ; Valluri, Chandrasekhar.
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10. Purchasing Behaviors of Consumers from third Countries on European Union Markets: A Case Study. (2021). Batyk, Iwona M.
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11. Purchasing Behaviors of Consumers from third Countries on European Union Markets: A Case Study. (2021). Batyk, Iwona M.
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12. Leveraging non-respondent data in customer satisfaction modeling. (2021). Mengesha, Nigussie ; Zihayat, Morteza ; Kargar, Mehdi ; Davoudi, Heidar ; Ayanso, Anteneh.
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13. How training on multiple time slices improves performance in churn prediction. (2021). Thonemann, Ulrich W ; Gattermann-Itschert, Theresa.
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    RePEc:eee:ejores:v:295:y:2021:i:2:p:664-674.

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14. Managing Churn to Maximize Profits. (2020). Gupta, Sunil ; Lemmens, Aurelie.
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15. Forecasting client retention €” A machine-learning approach. (2020). Schaeffer, Satu Elisa ; Rodriguez, Sara Veronica.
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16. Incorporating textual information in customer churn prediction models based on a convolutional neural network. (2020). Lessmann, Stefan ; Coussement, Kristof ; de Bock, Koen W ; de Caigny, Arno.
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17. Incorporating textual information in customer churn prediction models based on a convolutional neural network. (2019). de Caigny, Arno ; Lessmann, Stefan ; Coussement, Kristof ; de Bock, Koen W.
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    RePEc:hal:journl:hal-02275958.

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18. No future without the past? Predicting churn in the face of customer privacy. (2017). Verhoef, Peter C ; Holtrop, Niels ; Gijsenberg, Maarten J ; Wieringa, Jaap E.
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19. Developing a prediction model for customer churn from electronic banking services using data mining. (2016). Mirmohammadi, Seyed Mohammad ; Ghaneei, Hajar ; Keramati, Abbas.
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    RePEc:spr:fininn:v:2:y:2016:i:1:d:10.1186_s40854-016-0029-6.

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20. Predicting time-to-churn of prepaid mobile telephone customers using social network analysis. (2016). Claeskens, Gerda ; Baesens, Bart ; Backiel, Aimee .
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    RePEc:pal:jorsoc:v:67:y:2016:i:9:d:10.1057_jors.2016.8.

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21. The predictive ability of different customer feedback metrics for retention. (2015). Wiesel, Thorsten ; Verhoef, Peter C ; de Haan, Evert.
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    RePEc:eee:ijrema:v:32:y:2015:i:2:p:195-206.

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22. A Joint Model of Usage and Churn in Contractual Settings. (2013). Ascarza, Eva.
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    RePEc:inm:ormksc:v:32:y:2013:i:4:p:570-590.

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23. The Relevant Length of Customer Event History for Churn Prediction: How long is long enough?. (2012). Van den Poel, Dirk ; BALLINGS, M..
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2. Giant fight: Customer churn prediction in traditional broadcast industry. (2021). Wu, Yue ; Li, Yixin ; Zou, Peng ; Zhao, Donglai ; Hou, Bingzhang ; Xie, Aoran.
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3. On Aspects of Quality Assessment Criteria of Mobile Banking Applications in Poland. (2020). Chmielarz, Witold ; Zborowski, Marek ; Uczak, Konrad.
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4. Enabling a transformative service system by modeling quality dynamics. (2019). Fosso Wamba, SAMUEL ; Akter, Shahriar ; Dambra, John.
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6. Customer churn prediction in telecommunication industry using data certainty. (2019). Anwar, Sajid ; Loo, Jonathan ; Al-Obeidat, Feras ; Shah, Babar ; Adnan, Awais ; Amin, Adnan.
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7. Fashion companies and customer satisfaction: A relation mediated by Information and Communication Technologies. (2018). Calabrese, Mario ; Amendola, Carlo ; Caputo, Francesco ; Fabrizio, Daascenzo.
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8. A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees. (2018). Coussement, Kristof ; de Bock, Koen W ; de Caigny, Arno.
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9. Antecedents and consequences of university perceived value, according to graduates: The moderating role of Higher Education involvement. (2017). Luque-Martinez, Teodoro ; Barrio-Garcia, Salvador ; Doa-Toledo, Luis.
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10. The Virtual Reality Leisure Activities Experience on Elderly People. (2017). Yeh, Tsu-Ming ; Jeng, Mei-Yuan ; Pai, Fan-Yun.
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15. How Entrepreneurial Firms Profit from Pricing Capabilities: An Examination of Technology€“Based Ventures. (2015). Mller, Timo ; Flatten, Tessa Christina ; Brettel, Malte ; Engelen, Andreas.
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18. The empirical study of consumers loyalty for display technology. (2015). Cheng, Yi-Han ; Lin, Chiu Hui ; Wu, Chih-Wen.
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20. Evaluating Tourism Service Quality Provided to the European Tourist “Applied on the British tourist. (2014). alla, Ghada abd ; El Sayed, Alaa shaker ; Basiony, Abd Elazim .
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24. Evaluating the Added Value of Pictorial Data for Customer Churn Prediction. (2013). Van den Poel, Dirk ; BALLINGS, M. ; VERHAGEN, E..
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29. The Relevant Length of Customer Event History for Churn Prediction: How long is long enough?. (2012). Van den Poel, Dirk ; BALLINGS, M..
    In: Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium.
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30. The Advertising Effects of Corporate Social Responsibility on Corporate Reputation and Brand Equity: Evidence from the Life Insurance Industry in Taiwan. (2012). Hsu, Ker-Tah.
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31. Spatial price homogeneity as a mechanism to reduce the threat of regulatory intervention in locally monopolistic sectors. (2012). Tanaka, Makoto ; Söderberg, Magnus ; Soderberg, Magnus.
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32. Travel mode switching: Comparison of findings from two public transportation experiments. (2012). Ben-Akiva, Moshe ; Abou-Zeid, Maya.
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33. New insights into churn prediction in the telecommunication sector: A profit driven data mining approach. (2012). Verbeke, Wouter ; Dejaeger, Karel ; Hur, Joon ; Martens, David ; Baesens, Bart.
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34. The effect of social comparisons on commute well-being. (2011). Ben-Akiva, Moshe ; Abou-Zeid, Maya.
    In: Transportation Research Part A: Policy and Practice.
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35. Effects of dissatisfaction in tourist services: The role of anger and regret. (2011). Curras-Perez, Rafael ; Sanchez-Garcia, Isabel.
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36. Customer satisfaction and brand equity. (2011). Tribó, Josep ; Lacomba, Anna ; Tribo, Josep A. ; Torres, Anna.
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37. The Generation of Tourism Destination Satisfaction. (2010). Campo-Martnez, Sara ; Garau-Vadell, Joan B.
    In: Tourism Economics.
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38. Experience quality, perceived value, satisfaction and behavioral intentions for heritage tourists. (2010). Chen, Fu-Shian.
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39. Staying Power of Churn Prediction Models. (2010). , Tammo ; Verhoef, Peter C ; Risselada, Hans.
    In: Journal of Interactive Marketing.
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40. Investigating structural relationships between service quality, perceived value, satisfaction, and behavioral intentions for air passengers: Evidence from Taiwan. (2008). Chen, Ching-Fu.
    In: Transportation Research Part A: Policy and Practice.
    RePEc:eee:transa:v:42:y:2008:i:4:p:709-717.

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41. Determining the impact of internet channel use on a customers lifetime. (2008). Boehm, Martin.
    In: Journal of Interactive Marketing.
    RePEc:eee:joinma:v:22:y:2008:i:3:p:2-22.

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42. Bagging and boosting classification trees to predict churn. (2006). Croux, C. ; Lemmens, A..
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43. Churn Prediction in Subscription Services: an Application of Support Vector Machines While Comparing Two Parameter-Selection Techniques. (2006). Van den Poel, Dirk ; Coussement, Kristof.
    In: Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium.
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44. Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting. (2005). Van den Poel, Dirk ; Buckinx, Wouter .
    In: European Journal of Operational Research.
    RePEc:eee:ejores:v:164:y:2005:i:1:p:252-268.

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45. Predicting Customer Retention and Profitability by Using Random Forests and Regression Forests Techniques. (2004). Van den Poel, Dirk ; LARIVIRE, B..
    In: Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium.
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46. Customer attrition analysis for financial services using proportional hazard models. (2004). Van den Poel, Dirk ; Lariviere, Bart.
    In: European Journal of Operational Research.
    RePEc:eee:ejores:v:157:y:2004:i:1:p:196-217.

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47. Customer Base Analysis: Partial Defection of Behaviorally-Loyal Clients in a Non-Contractual FMCG Retail Setting. (2003). Van den Poel, Dirk ; BUCKINX, W..
    In: Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium.
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48. Customer Attrition Analysis For Financial Services Using Proportional Hazard Models. (2003). Van den Poel, Dirk ; LARIVIRE, B..
    In: Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium.
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49. Repeat Attendance as a Function of Involvement, Loyalty, and the Sportscape Across Three Football Contexts. (2000). Green, Christine B. ; Hill, Brad.
    In: Sport Management Review.
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50. What drives freight transportation customer loyalty? Diverging marketing approaches for the air freight express industry. (). Merkert, Rico ; Tsai, Ming-Chih ; Wang, Jiana-Fu.
    In: Transportation.
    RePEc:kap:transp:v::y::i::d:10.1007_s11116-020-10104-0.

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