On the road to commercialize autonomous road mobility. A case study of a scale-up to determine how four critical factors influence international business model scalability
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Reaching profitable growth for a startup is a difficult quest. Finding a viable business
model that is possible to scale internationally is vital for a scale-up to succeed.
This becomes especially critical when working with technology innovations because
of their novelty and associated uncertainty. The applications of autonomous road
mobility are currently gaining traction, partly because autonomous road mobility is
seen to mitigate inefficiencies. Increasing the efficiency of road mobility has great
potential to reduce the sector’s negative impact on sustainability, as it is currently
responsible for 18% of the world’s greenhouse gas emissions. The advancement of
the technology necessary suggests that widespread usage of autonomous road mobility
is approaching. This highlights the importance of conducting research on what
role the business model has on facilitating the commercialization of the technology,
which is essential to maximize the sustainable impact of autonomous road mobility.
The purpose of this thesis is to provide knowledge about scale-up companies working
with autonomous road mobility and how these companies can affect the international
scaling process. Little prior attention has been given to factors affecting
business model scalability. To contribute to research, the following research question
was chosen: How do the factors Legal Frameworks, Complementary Technologies,
Customers, and Teams affect international business model scaling for a scale-up
company working with technology innovations in autonomous road mobility?
The research approach for this study was qualitative and abductive, designed as a
single-case study. The data was collected via interviews at a case company. Findings
show that first, the factors Legal Frameworks and Customers mostly affected
the scaling process negatively, mainly because these factors include aspects that are
difficult for a company to control. This complicates the scaling process as it impedes
product development and introduces uncertainty. Second, it was found that
the factors Complementary Technologies and Teams mainly affect the scalability
positively long-term and that the scale-up has bigger opportunities to control these
effects. Third, by investigating the interrelations between factors, it was found that
the factor Complementary Technologies was the one affecting most other factors.
This relation mainly increased already positive effects on scalability or mitigated
negative effects.
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business model scalability, autonomous mobility, scale-up, autonomous vehicle, technology innovations, complementary asset, technology adoption curve.