De Bruyn, Arnaud (2025), Publish or Perish: A Survival Guide for Ph.D. Students and Junior Faculty, self-published.
De Bruyn, Arnaud (2024), Fundraising Analytics: A Roadmap for the Data-Driven Fundraiser, Decisive System.
Lilien, Gary L., Arvind Rangaswamy and Arnaud De Bruyn (2017), Principles of Marketing Engineering and Analytics (3rd Ed.), DecisionPro.
Lilien, Gary L., Arvind Rangaswamy and Arnaud De Bruyn (2013), Principles of Marketing Engineering (2nd Ed.), DecisionPro.
Lilien, Gary L., Arvind Rangaswamy and Arnaud De Bruyn (2007), Principles of Marketing Engineering, Trafford.
Articles
= FT 50 Journal List
Chaudhuri, Sumon, and Arnaud De Bruyn (forthcoming), "Bots Bargaining with Humans: Building AI Super-Bargainers with Algorithmic Anthropomorphization," Journal of Marketing Research, forthcoming.
Ferecatu, Alina, Arnaud De Bruyn, and Prithwiraj Mukherjee (2024), “Silently Killing Your Panelists One Email at a Time: The True Cost of Email Solicitations,” Journal of the Academy of Marketing Science, 52, 1216-1239.
Hada, Mahima, Arnaud De Bruyn, and Gary L. Lilien (2024), “Horizontal Referrals in B2B Markets,” Journal of Marketing Research, 61(1), 143-164.
Colicev, Anatoli, and Arnaud De Bruyn (2023), “The Spillover Effects of Positive and Negative Buzz on Brand Attitudes,” European Journal of Marketing, 57(9), 2382-2406.
De Bruyn, Arnaud, and Thomas Otter (2022), “Bayesian Consumer Profiling: How to Estimate Consumer Characteristics from Aggregate Data,” Journal of Marketing Research, 59(4), 755-774.
Ferecatu, Alina, and Arnaud De Bruyn (2022), “Understanding Managers’ Trade-offs between Exploration and Exploitation,” Marketing Science, 41(1), 139-165.
Mukherjee, Prithwiraj, Souvik Dutta, and Arnaud De Bruyn (2022), “Did Clickbait Crack the Code on Virality?” Journal of the Academy of Marketing Science, 50, 482-502.
Sarkar, Mainak, and Arnaud De Bruyn (2021), “LSTM Response Models for Direct Marketing Analytics: Replacing Feature Engineering with Deep Learning,” Journal of Interactive Marketing, 53, 80-95.
De Bruyn, Arnaud, Vijay Viswanathan, Yean Shan Beh, Jürgen Kai-Uwe Brock, and Florian von Wangenheim (2020), “Artificial Intelligence and Marketing: Pitfalls and Opportunities,” Journal of Interactive Marketing, 51, 91-105.
De Bruyn, Arnaud, and Sonja Prokopec (2017), “Assimilation-Contrast Theory in Action: Operationalization and Managerial Impact in a Fundraising Context,” International Journal of Research in Marketing, 34(2), June, 367-381.
Butori, Raphaëlle, and Arnaud De Bruyn (2013), “So You Want to Delight Your Customers: The Perils of Ignoring Heterogeneity in Customer Evaluations of Discretionary Preferential Treatments,” International Journal of Research in Marketing, 30(4), December, 358-367.
De Bruyn, Arnaud, and Sonja Prokopec (2013), “Opening a Donor’s Wallet: The Influence of Appeal Scales on Likelihood and Magnitude of Donation,” Journal of Consumer Psychology, 23(4), October, 496-502.
Kayande, Ujwal, Arnaud De Bruyn, Gary L. Lilien, Arvind Rangaswamy and Gerrit H. van Bruggen (2009), “How Incorporating Feedback Mechanisms in DSS Design Affects DSS Evaluation,” Information Systems Research, 20(4), December, 527-546.
De Bruyn, Arnaud, Gary E. Bolton (2008), “Estimating the Influence of Fairness on Bargaining Behavior,” Management Science, 54(10), October, 1774-1791.
De Bruyn, Arnaud, John C. Liechty, Eelko K.R.E. Huizingh and Gary L. Lilien (2008), “Offering Online Recommendations with Minimum Customer Input through Conjoint-Based Decision Aids,” Marketing Science, 27(3), May-June, 443-460.
De Bruyn, Arnaud, Gary L. Lilien (2008), “A Multi-Stage Model of Word of Mouth through Viral Marketing,” International Journal of Research in Marketing, 25(3), September, 143-225.
Liechty, John C., Duncan K.H. Fong, Eelko K.R.E. Huizingh and Arnaud De Bruyn (2008), “Hierarchical Bayesian Conjoint Models Incorporating Measurement Uncertainty,” Marketing Letters, 19(2), 141-155.
Kamakura, Wagner A., Jose Afonso Mazzon and Arnaud De Bruyn (2006), “Modeling Voter Choice to Predict the Final Outcome of Two-Stage Elections,” International Journal of Forecasting, 22(4), 689-706.