Bruce Hardie

Professor of Marketing at London Business School

at The Wharton School

Schools

  • The Wharton School
  • London Business School

Expertise

Links

Biography

London Business School

Professor Bruce Hardie joined London Business School in 1994. His primary research and teaching interests focus on customer and marketing analytics.

His early research focused on the development of methods for new product sales forecasting and marketing mix analysis. Much of his current work focuses on the development of tools for customer analytics.

Professor Hardie holds BCom and MCom degrees from the University of Auckland (New Zealand), and MA and PhD degrees from the University of Pennsylvania.

Published Papers

  • Fader, Peter S., Bruce G.S. Hardie, and Chun-Yao Huang (2004), "A Dynamic Changepoint Model for New Product Sales Forecasting," Marketing Science, 23 (Winter), 50-65.
  • Fader, Peter S., Bruce G.S. Hardie, and Robert Zeithammer (2003), "Forecasting New Product Trial in a Controlled Test Market Environment," Journal of Forecasting, 22 (August), 391-410.
  • Fader, Peter S. and Bruce G.S. Hardie (2002), "A Note on an Integrated Model of Customer Buying Behavior," European Journal of Operational Research, 139 (3), 682-687.
  • Bradlow, Eric T., Bruce G.S. Hardie, and Peter S. Fader (2002), "Bayesian Inference for the Negative Binomial Distribution via Polynomial Expansions," Journal of Computational and Graphical Statistics, 11 (March), 189-201.
  • Danaher, Peter J., Bruce G.S. Hardie, and William P. Putsis, Jr. (2001), "Marketing-Mix Variables and the Diffusion of Successive Generations of a Technological Innovation," Journal of Marketing Research, 38 (November), 501-514.
  • Fader, Peter S. and Bruce G.S. Hardie, (2001), "Forecasting Repeat Sales at CDNOW: A Case Study," Interfaces, 31 (May-June), Part 2 of 2, S94-S107.
  • Fader, Peter S. and Bruce G.S. Hardie (2001), "Forecasting Trial Sales of New Consumer Packaged Goods Products," in J. Scott Armstrong (ed.), Principles of Forecasting: A Handbook for Researchers and Practitioners, Norwell, MA: Kluwer Academic Publishers, 613-630.
  • Fader, Peter S. and Bruce G.S. Hardie (2000), "A Note on Modelling Underreported Poisson Counts," Journal of Applied Statistics, 27 (November), 953-964. [Abstract]
  • Fader, Peter S. and Bruce G.S. Hardie (1999), "Investigating the Properties of the Eskin/Kalwani & Silk Model of Repeat Buying for New Products," in Lutz Hildebrandt, Dirk Annacker, and Daniel Klapper (eds.), Marketing and Competition in the Information Age, Proceedings of the 28th EMAC Conference, May 11-14, Berlin: Humboldt University.
  • Hardie, Bruce G.S., Peter S. Fader, and Michael Wisniewski (1998), "An Empirical Comparison of New Product Trial Forecasting Models," Journal of Forecasting, 17 (June-July), 209-229.
  • Johnson, Eric J., Robert J. Meyer, Bruce G.S. Hardie, and Paul Anderson (1997), "Watching Customers Decide: Process Measures Add Insights to Choice Modeling Experiments," Marketing Research, 9 (Winter), 32-37.
  • Fader, Peter S. and Bruce G.S. Hardie (1996), "Modeling Consumer Choice Among SKUs," Journal of Marketing Research, 33 (November), 442-452.
  • Appendix: "Testing for Independence from Irrelevant Alternatives" [PDF (43k)]
  • Hardie, Bruce G.S., Thomas S. Robertson, and William T. Ross, Jr. (1996), "Technology Adoption: Amplifying vs. Simplifying Innovations," Marketing Letters, 7 (October), 355-369.
  • Hardie, Bruce G.S., Eric J. Johnson, and Peter S. Fader (1993), "Modeling Loss Aversion and Reference Dependence Effects on Brand Choice," Marketing Science, 12 (Fall), 378-394.

The Wharton School

Professor Hardie's primary research interest lies in the development of databased models to support marketing analysts and decision makers, with a particular interest in models that are easy to implement. Most of his current projects focus on the development of probability models for customerbase analysis. Bruce's research has appeared in various marketing, operations research and statistics journals.

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