Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Modeling and prediction of monetary and non-monetary business values
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.ORCID iD: 0000-0003-1464-6163
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
University of Twente, Enschede, Centre for Telematics and Information Technology.
University of Twente, Enschede, Centre for Telematics and Information Technology.
Show others and affiliations
2013 (English)In: 2013 17th IEEE International Enterprise Distributed Object Computing Conference (EDOC), IEEE , 2013, 153-158 p.Conference paper, Published paper (Refereed)
Abstract [en]

In existing business model frameworks little attention is paid to a thorough understanding of the perceived customer value of a business' offering as compared to competing offers. In this paper, we propose to use utility theory in combination with e3value models to address this issue. An actor's joint utility function specifies how much value the actor attaches to a given product or service's different qualities. Competing value offerings map to different points on the customer utility function, since they provide certain quantities of each quality. Since the customer can be expected to exhibit a utility maximizing behavior, his/her choices between offerings can be predicted. Thus, given the proposed utility extension, it becomes possible to quantitatively reason about the relative customer value of an offering compared to those of the competition. This, in turn, allows the optimization of price, the key ingredient in any business model.

Place, publisher, year, edition, pages
IEEE , 2013. 153-158 p.
Series
International Enterprise Distributed Object Computing Conference. Proceedings, ISSN 1541-7719
Keyword [en]
e3value, busines models, business value, utility, profitability analysis
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-138536DOI: 10.1109/EDOC.2013.25Scopus ID: 2-s2.0-84892553510OAI: oai:DiVA.org:kth-138536DiVA: diva2:681308
Conference
17th IEEE International Enterprise Distributed Object Computing Conference, EDOC 2013; Vancouver, BC; Canada; 9 September 2013 through 13 September 2013
Note

QC 20140218

Available from: 2013-12-19 Created: 2013-12-19 Last updated: 2014-02-18Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Authority records BETA

Välja, MargusJohnson, Pontus

Search in DiVA

By author/editor
Välja, MargusÖsterlind, MagnusJohnson, Pontus
By organisation
Industrial Information and Control Systems
Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 116 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf