Abstract
This paper shows how analytic modeling research in the Marketing field is focused on answering questions of “How?” and “Why?” It describes the disciplines involved in analytic modeling; examines how the key criteria of parsimony and robustness help to define a good model; and discusses other goodness criteria, including appropriate use of analytic techniques, applicability of the model to institutionally rich, real-world problems, non-obvious results, generalizability, and ability to provide insight where other research techniques do not work. The paper defines and discusses key concepts in analytic models of distribution channels, including double marginalization, coordination, incentive alignment and contract design, strategic substitutability and complementarity, externalities, and principal–agent problems. Next, the paper summarizes research presented in the session on analytic models in channels at the Erin Anderson conference; and finally, the paper suggests avenues for future analytic modeling research.
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Notes
Ockham’s razor is the principle that a theory should make as few assumptions as possible, and in particular, should omit assumptions that have no effect on the predictions of the theory. This principle is attributed to William of Ockham, an English logician and Franciscan friar who lived in the fourteenth century. The philosopher Karl Popper argued that a simpler theory is preferred to a more complex one because it is more easily falsifiable, being applicable in more situations. These two concepts together suggest the value of parsimony as well as robustness, and also clearly set up the tension between the two concepts.
The “smart MBA criterion” is attributed to Rick Staelin.
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Arising from The Erin Anderson Research Conference at the Wharton School, University of Pennsylvania, October 2008
This version: January 20, 2010
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Coughlan, A.T., Choi, S.C., Chu, W. et al. Marketing modeling reality and the realities of marketing modeling. Mark Lett 21, 317–333 (2010). https://doi.org/10.1007/s11002-010-9110-5
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DOI: https://doi.org/10.1007/s11002-010-9110-5