Abstract
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.
Original language | English |
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Title of host publication | 2020 IEEE International Conference on Fuzzy Systems, FUZZ 2020 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers |
Number of pages | 7 |
ISBN (Electronic) | 9781728169323 |
DOIs | |
Publication status | Published - Jul 2020 |
Event | 2020 IEEE International Conference on Fuzzy Systems, FUZZ 2020 - Glasgow, United Kingdom Duration: 19 Jul 2020 → 24 Jul 2020 |
Conference
Conference | 2020 IEEE International Conference on Fuzzy Systems, FUZZ 2020 |
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Country/Territory | United Kingdom |
City | Glasgow |
Period | 19/07/20 → 24/07/20 |
Keywords
- Business model radars
- Evaluation
- Linguistic summaries
- Protoforms