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These learnings include the information on the falsiļ¬cation or corroboration of
the tested assumption and guide the entrepreneursā decisionmaking to either pivot
to a new/adapted idea or to persevere on the current path (Ries 2011; Bajwa et al.
2017). The challenge with the buildāmeasureālearn loop is that the inļ¬nite char-
acter of the loop gives entrepreneurs no guidance when to change the nature of
experiments. It is not very practical nor useful to try to validate everything. But
what is important is to validate the things that reallymatter to the business. It does
not matter how many hypotheses an entrepreneur validates if none of them is
critical for the success of the business. The ability to zoom out and clear the big
picture is highly important to run successful iterations that matter. In practice, we
see quite often entrepreneurs that use the iteration in an early stage to validate
featuresāwhich is great in generalābut forget to validate the value proposition
ļ¬rst. This can be seen as premature scaling because an entrepreneur loses sight of
the critical assumptions.
Another important cornerstone of the lean startup approach is the development
of experiments that create targeted learning at aminimum investment of time and
money. One instrument to create this fast learning is a minimum viable product
(MVP), which is a speciļ¬c experiment (Ries 2011). There has been a lot of con-
fusion on the termminimumviable product. Some authors and practitioners equal
the MVP with every potential form of a business experiment (e.g., a customer
interview), others equal an MVP with a prototype, etc. (Duc and Abrahamson
2016). This missing clarity does not reduce complexity but adds complexity for
entrepreneurs and does thus not help to structure the development process of a
venture.
In the subsequent chapter, we aim to offer a structural approach to
validate/invalidate the essential components of digital businessmodels. In addition,
we aim to identify the speciļ¬cs that different businessmodel types encounterwhen
they are tested.
Fig. 1 Buildāmeasureālearn loop (reference to Ries 2011)
BusinessModel Development and Validation⦠75
Digital Entrepreneurship
Impact on Business and Society
- Title
- Digital Entrepreneurship
- Subtitle
- Impact on Business and Society
- Authors
- Mariusz Soltanifar
- Mathew Hughes
- Lutz Gƶcke
- Publisher
- Springer Verlag
- Location
- Cham
- Date
- 2021
- Language
- English
- License
- CC BY 4.0
- ISBN
- 978-3-030-53914-6
- Size
- 16.0 x 24.0 cm
- Pages
- 340
- Keywords
- Entrepreneurship, IT in Business, Innovation/Technology Management, Business and Management, Open Access, Digital transformation and entrepreneurship, ICT based business models
- Category
- International