Enhancing Price-To-Win Targeting with Value-Base Pricing : A Bayesian Network Approach

Authors

  • Nicolas Gless

Keywords:

value-base pricing, negociation, price winning target, bayesian network, complexity, uncertain causal logic,

Abstract

Value Base Pricing VBP in the B2B industry is a recognize profit generatorsuported by multiple studies in the theoritical and empirical pricing field VBP focus on customer s expectations and not just costs However despite its acknowledged benefits value-based pricing can be challenging In this article we place VBP in Non-zero-sum game conflict negotiation and highlights that VBP is not facilitated in cooperative equilibrium between the buyer and seller We will present given Tools of pricing negotiations like Price Wining Target PWT in the field of Multiple-Choice Criteria Models MCDM We will focus on Analytic Hierarchy Process AHP which is used in the field of negociation to enhance decision making but with drawbacks we will identify We propose then an improvement through deployment of Bayesian Network and PWT hybridification and present an operational application Baysien Network is a mathematical methodology supported by computer tools

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How to Cite

Nicolas Gless. (2025). Enhancing Price-To-Win Targeting with Value-Base Pricing : A Bayesian Network Approach. Global Journal of Management and Business Research, 25(A1), 33–58. Retrieved from https://journalofbusiness.org/index.php/GJMBR/article/view/103040

Enhancing Price-To-Win Targeting with Value-Base Pricing : A Bayesian Network  Approach

Published

2025-03-12