Jeder darf seine Forschungsfrage hier notieren. Abgestimmt wird mit einem Strich hinter dem jeweiligen Eintrag. Damit man eine sinnvolle Bewertung am Ende hat, darf jeder genau 3 Striche vergeben. Die besten Fragen können dann diskutiert und auf das Poster übernommen werden.

Sprache ist Englisch.

Hervorgehobene Fragen bilden die Grundlage und decken die drei Themen ab. Ausformulierung tbd

Martin Brümmer

1. How can computers fill out Lean Canvas Models when it comes to making the right decisions.
2. What's the optimal path for the creation of Lean Canvases when performed by software?
3. In which way does tool-based business model exploration ease the process of finding the right business model compared to manual usage?
4. What are viable methods for the validation process of software-generated Business Models?

Andreas Gauß

1. Do exist algorithms yet which can help to fill Lean Canvas automatically?
2. What kind of methods can be used to fill Lean Canvas computer-aided?
3. Exist Canvas fields which can not be (meaningfully) be filled by an algorithm?
4. How can relations between two (or more) Lean Canvas fields be described formally?

Max Kienle

1. How can computer-generated content be evaluated?
2. What are the possibilities to get from unstructured data to an easy visualization?
3. What are the advantages of computer-generated business models?

Tobias Lindner

1. Which logic relations can be used to automatically validate two Lean Canvas fields against each other?
2. Which forms of support to fill in the Lean Canvas fields can be given by computers and are there better or worse suitable support forms for specific fields?
3. Which logic criteria help to decide whether a text fits into a Lean Canvas field or not?
4. Which information sources are useful to support the fill-in process of a Lean Canvas?
5. Which text-mining method spends the most benefit regarding the fill-in process of a Lean Canvas?
6. Which process steps are necessary to fill-in the Lean Canvas fields and how could they be executed automatically by computers?
7. How could be detected whether a text or keyword fits into a specific Lean Canvas field?
8. Which criteria are applicable for validating the content of a Lean Canvas field by its correctness with focus on relations to other fields and the specific label/topic of the field?
9. Which manual user actions can be used to control the automatic Lean Canvas compilation and to route it in a user-desired direction?
10. Which relations and dependencies exist between the Lean Canvas fields?
11. Is any key information needed before starting an automatic Lean Canvas compilation?
12. How could the dependencies and relations between Lean Canvas fields - which could intuitively be recognized and interpreted by humans because of well-defined labels - be transferred to a logic description that could be interpreted by computers?

Sebastian Mantsch

1. How can the user be supported in the Lean Canvas generation process?
2. What are the possible entry points for computer aided generation of a Lean Canvas?
3. How can a computer system generate a Lean Canvas based on techniques such as text mining?

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