| A multi-stage model of word-of-mouth influence through viral marketing A De Bruyn, GL Lilien International journal of research in marketing 25 (3), 151-163, 2008 | 1551 | 2008 |
| Artificial intelligence and marketing: Pitfalls and opportunities A De Bruyn, V Viswanathan, YS Beh, JKU Brock, F Von Wangenheim Journal of Interactive Marketing 51 (1), 91-105, 2020 | 183 | 2020 |
| Principles of marketing engineering GL Lilien, A Rangaswamy, A De Bruyn DecisionPro, 2013 | 169 | 2013 |
| Estimating the influence of fairness on bargaining behavior A De Bruyn, GE Bolton Management science 54 (10), 1774-1791, 2008 | 131 | 2008 |
| How incorporating feedback mechanisms in a DSS affects DSS evaluations U Kayande, A De Bruyn, GL Lilien, A Rangaswamy, GH Van Bruggen Information Systems Research 20 (4), 527-546, 2009 | 122 | 2009 |
| A multi-stage model of word of mouth through electronic referrals A De Bruyn, GL Lilien eBRC Research Paper Series (ref. 2004-02), 2004 | 112 | 2004 |
| Offering online recommendations with minimum customer input through conjoint-based decision aids A De Bruyn, JC Liechty, EKRE Huizingh, GL Lilien Marketing Science 27 (3), 443-460, 2008 | 98 | 2008 |
| Opening a donor's wallet: The influence of appeal scales on likelihood and magnitude of donation A De Bruyn, S Prokopec Journal of Consumer Psychology 23 (4), 496-502, 2013 | 60 | 2013 |
| So you want to delight your customers: The perils of ignoring heterogeneity in customer evaluations of discretionary preferential treatments R Butori, A De Bruyn International Journal of Research in Marketing 30 (4), 358-367, 2013 | 57 | 2013 |
| LSTM response models for direct marketing analytics: Replacing feature engineering with deep learning M Sarkar, A De Bruyn Journal of Interactive Marketing 53 (1), 80-95, 2021 | 55 | 2021 |
| Principles of marketing engineering and analytics GL Lilien, A Rangaswamy, A De Bruyn DecisionPro, 2017 | 33 | 2017 |
| Assimilation-contrast theory in action: Operationalization and managerial impact in a fundraising context A De Bruyn, S Prokopec International Journal of Research in Marketing 34 (2), 367-381, 2017 | 22 | 2017 |
| Modeling voter choice to predict the final outcome of two-stage elections WA Kamakura, JA Mazzon, A De Bruyn International Journal of Forecasting 22 (4), 689-706, 2006 | 14 | 2006 |
| Offering collaborative-like recommendations when data is sparse: The case of attraction-weighted information filtering A De Bruyn, CL Giles, DM Pennock Adaptive Hypermedia and Adaptive Web-Based Systems: Third International …, 2004 | 11 | 2004 |
| Did clickbait crack the code on virality? P Mukherjee, S Dutta, A De Bruyn Journal of the Academy of Marketing Science 50 (3), 482-502, 2022 | 6 | 2022 |
| Harnessing the power of viral marketing: A multi-stage model of word of mouth through electronic referrals A De Bruyn, GL Lilien SOM Seminars, 4th of November, Groningen, The Netherlands, 2003 | 6 | 2003 |
| Offering online recommendations to impatient, first-time customers with conjoint based segmentation trees A De Bruyn, JC Liechty, E Huizingh, GL Lilien MSI working paper series 1, 05-001, 2005 | 5 | 2005 |
| Understanding managers’ trade-offs between exploration and exploitation A Ferecatu, A De Bruyn Marketing Science 41 (1), 139-165, 2022 | 4 | 2022 |
| Bayesian customer profiling: Applications to age and political partisanship estimation A De Bruyn, T Otter SSRN Electronic Journal, 2016 | 4 | 2016 |
| The Impact of Anchors on Donors’ Behavior: A Field Experiment S Prokopec, AD Bruyn ACR North American Advances, 2010 | 4 | 2010 |
