An algorithmic approach for modelling customer expectations

Nicolae POP, Adriana Agapie () and Nicolae TEODORESCU
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Nicolae POP: Academy of Economic Studies, Bucharest
Nicolae TEODORESCU: Academy of Economic Studies, Bucharest

Management & Marketing, 2009, vol. 4, issue 1

Abstract: The scope of this article is to discuss the dynamics of formatting customer expectations in financial services-under two models for assessing cumulative learning in customer expectations. The first model is a classical Bayesian one, the second model is an entirely new application of the Repetitive Stochastic Guesstimation (RSG) algorithm. The traditional assumption of postulating that empirical data have been generated from an underlying probability has been questioned even by orthodox theorists. Our research strategy is to cast this problem in the form of an optimization problem and show that RSG algorithm will produce a relevant solution for the original economic problem.

Keywords: Bayesian updating; Computational economics; Customer expectations; Repetitive Stochastic Guesstimation. (search for similar items in EconPapers)
Date: 2009
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Persistent link: http://EconPapers.repec.org/RePEc:eph:journl:v:4:y:2009:i:1:n:5

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