TY - JOUR
T1 - Designing a Deep-Tech Venture Builder to Address Grand Challenges and Overcome the Valley of Death
AU - Romme, A.G.L.
AU - Bell, John
AU - Frericks, Guus
PY - 2023/12
Y1 - 2023/12
N2 - A vital problem of the European economy has long been its limited capacity to transform technological inventions and breakthroughs into successful new companies that help solve grand challenges in, for example, climate change, energy production, and poverty. Various measures and initiatives addressing this problem have not yet resulted in increasing numbers of successful ventures overcoming the so-called valley of death, especially in the case of deep-tech innovations arising from technological breakthroughs in, for example, new materials, mechatronics, high-precision engineering, and photonics. In this paper, we adopt a design perspective on crafting a Deep-Tech Venture (DTV) builder that creates, supports, and develops new ventures arising from deep-tech breakthroughs accomplished in leading research institutes in Europe. This approach to building DTVs incorporates key elements of extant theories and tools in the field of entrepreneurship but also moves beyond the contemporary body of knowledge. As such, the DTV approach provides a comprehensive system for creating and scaling deep-tech ventures—the most complex and risky, yet most impactful breed of ventures. The DTV blueprint was implemented and further developed in a venture builder that sources technologies from leading research institutes such as CERN and European Space Agency. The initial results are highly promising. The main contribution of this study involves a comprehensive system design for building deep-tech ventures that help solve the SDGs, one that is (a) grounded in the literature on technology sourcing, entrepreneurship, ecosystems, entrepreneurial finance, and talent acquisition and (b) tested in a major European venture builder.
AB - A vital problem of the European economy has long been its limited capacity to transform technological inventions and breakthroughs into successful new companies that help solve grand challenges in, for example, climate change, energy production, and poverty. Various measures and initiatives addressing this problem have not yet resulted in increasing numbers of successful ventures overcoming the so-called valley of death, especially in the case of deep-tech innovations arising from technological breakthroughs in, for example, new materials, mechatronics, high-precision engineering, and photonics. In this paper, we adopt a design perspective on crafting a Deep-Tech Venture (DTV) builder that creates, supports, and develops new ventures arising from deep-tech breakthroughs accomplished in leading research institutes in Europe. This approach to building DTVs incorporates key elements of extant theories and tools in the field of entrepreneurship but also moves beyond the contemporary body of knowledge. As such, the DTV approach provides a comprehensive system for creating and scaling deep-tech ventures—the most complex and risky, yet most impactful breed of ventures. The DTV blueprint was implemented and further developed in a venture builder that sources technologies from leading research institutes such as CERN and European Space Agency. The initial results are highly promising. The main contribution of this study involves a comprehensive system design for building deep-tech ventures that help solve the SDGs, one that is (a) grounded in the literature on technology sourcing, entrepreneurship, ecosystems, entrepreneurial finance, and talent acquisition and (b) tested in a major European venture builder.
KW - Deep-tech
KW - Entrepreneurship
KW - Grand challenges
KW - SDGs
KW - Startups
KW - System design
KW - Technological breakthroughs
KW - Venture creation
UR - http://www.scopus.com/inward/record.url?scp=85159073935&partnerID=8YFLogxK
U2 - 10.1007/s41469-023-00144-y
DO - 10.1007/s41469-023-00144-y
M3 - Article
SN - 2245-408X
VL - 12
SP - 217
EP - 237
JO - Journal of Organization Design
JF - Journal of Organization Design
IS - 4
ER -