The concept of shadow price to monetarize the intangible value of expertise

Emmanuel Fragniere, Christoph Heitz, Francesco Moresino

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

The pricing of knowledge based services should be based on the three following components: the cost structure, the competition and the perceived value by the client. Practically, it is mainly based on the cost structure which does not account for the real value provided to the client. Based on an integrated optimization model combining an aggregate planning model with a share of choice model, we produce implicit values of expertise. Preliminary results will be presented about a travel agency.

Original languageEnglish
Title of host publicationProceedings of 2008 IEEE International Conference on Service Operations and Logistics, and Informatics, IEEE/SOLI 2008
Pages1736-1741
Number of pages6
DOIs
Publication statusPublished - 25 Nov 2008
Event2008 IEEE International Conference on Service Operations and Logistics, and Informatics, IEEE/SOLI 2008 - Beijing, China
Duration: 12 Oct 200815 Oct 2008

Publication series

NameProceedings of 2008 IEEE International Conference on Service Operations and Logistics, and Informatics, IEEE/SOLI 2008
Volume2

Conference

Conference2008 IEEE International Conference on Service Operations and Logistics, and Informatics, IEEE/SOLI 2008
CountryChina
CityBeijing
Period12/10/0815/10/08

Keywords

  • Intangibility engineering
  • Perceived value
  • Service design
  • Shadow price

ASJC Scopus subject areas

  • Information Systems
  • Electrical and Electronic Engineering

Cite this

Fragniere, E., Heitz, C., & Moresino, F. (2008). The concept of shadow price to monetarize the intangible value of expertise. In Proceedings of 2008 IEEE International Conference on Service Operations and Logistics, and Informatics, IEEE/SOLI 2008 (pp. 1736-1741). [4682809] (Proceedings of 2008 IEEE International Conference on Service Operations and Logistics, and Informatics, IEEE/SOLI 2008; Vol. 2). https://doi.org/10.1109/SOLI.2008.4682809