Intentional linguistic summaries for collaborative business model radars

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Samenvatting

We propose the use of linguistic summarization concept to support business model design evaluation. In contrast to traditional linguistic summarization, we do not infer these linguistic summaries from data, but use their structure to express intentions or conditions for stakeholders to participate in the designed business model. Early phase business model design is highly uncertain, for which it is often difficult to quantify under what conditions the business model design would be acceptable for the stakeholders involved. Through generation of intentional linguistic summaries (ILS), stakeholders can make explicit under what conditions a certain business model design would be acceptable. Therefore ILS can allow a discussion on benefits and costs without focusing too much on details, which are rarely available in the early phases of business model design. These intentional linguistic summaries can consequently be used as soft KPIs to be validated once the business model is operational.

Originele taal-2Engels
Titel2020 IEEE International Conference on Fuzzy Systems, FUZZ 2020 - Proceedings
UitgeverijInstitute of Electrical and Electronics Engineers
Aantal pagina's7
ISBN van elektronische versie9781728169323
DOI's
StatusGepubliceerd - jul 2020
Evenement2020 IEEE International Conference on Fuzzy Systems, FUZZ 2020 - Glasgow, Verenigd Koninkrijk
Duur: 19 jul 202024 jul 2020

Congres

Congres2020 IEEE International Conference on Fuzzy Systems, FUZZ 2020
LandVerenigd Koninkrijk
StadGlasgow
Periode19/07/2024/07/20

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