The Lean Discovery Process in Digital Business Startups: The Case of raiserve
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Date
2019-01-08
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Abstract
Uncertainty in the early development of digital
business startups can benefit from data-driven testing
of hypotheses. Examining literature in lean startups,
lean user experience and lean software development,
we highlight underlying assumptions of existing lean
models. We conceptualize the Lean Discovery Process
that recognizes that uncertainty arises in the business
model, product and customer/market. The Lean
Discovery Process focuses on testing from the early
business idea through to fully realized product stages
of an innovation development. We conceptualize the
minimum viable customer and support early testing
with concepts from market research and collective
intelligence. Using the case of raiserve, a social
entrepreneurship venture, we demonstrate early
opportunities to apply lean principles and rigorous
hypothesis testing in a Lean Discovery Process that
results in significant reductions in time and expense of
product development.
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Innovation and Entrepreneurship Theory and Practice, Knowledge Innovation and Entrepreneurial Systems, A/B Testing, Business Model, Digital Business, Lean Startup, Uncertainty
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10 pages
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Proceedings of the 52nd Hawaii International Conference on System Sciences
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Attribution-NonCommercial-NoDerivatives 4.0 International
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