Initial opportunity selection for deep technologies: Deep Technology Opportunity Navigator (DTON)

Deep technology ventures (DTVs) are new firms that aim to commercialize fundamental scientific or engineering breakthroughs and are usually located in the high-cost economies that fund such research. Deep technologies can potentially provide value to many industries or sectors but doing so requires making significant investments amid uncertainty. That situation complicates DTVs’ choice of the opportunity to focus on. We employed an iterative design science approach to develop a practical tool that can help DTVs navigate that complex decision. In doing so, we first reviewed the innovation management literature to identify the important factors in opportunity selection by a DTV. We subsequently interviewed a panel of deep technology entrepreneurship experts to supplement that information. These factors were translated into tool requirements. We analyzed existing opportunity selection tools against these requirements, finding only partial support for the DTV context. The same requirements were used to build an add-on to the widely used market opportunity navigator (MON) tool specifically to inform decision-making in DTVs. We label that advancement the deep technology opportunity navigator (DTON). The DTON was deployed as part of a facilitated workshop with two DTVs to collect feedback and iterate the design of the workshop and tool. The results of those workshops are supplemented by a thought experiment to imagine how it could help DTVs, providing illustrative examples of the potential impact of the new tool. The resulting DTON design is a practical tool that DTVs and other stakeholders can use to guide strategic decision-making, and its validation contributes to the literature on science-based entrepreneurship and opportunity selection. • Conceptualizes technological relatedness as an important consideration for deep technology initial opportunity selection. • Develops a tool, the Deep Technology Opportunity Navigator , to support initial opportunity selection for deep technologies. • Demonstrates the tool through use by two Deep Technology Ventures. • Presents a thought experiment to show how technological relatedness and uncertainty can influence deep technology strategy. • Advances the emerging academic conversation about deep technologies.

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Publication Details

Journal
Technovation
Published
2026-01-08
DOI
https://doi.org/10.1016/j.technovation.2025.103464
Primary Topic
Innovation and Knowledge Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Initial opportunity selection for deep technologies: Deep Technology Opportunity Navigator (DTON)

Alexander Myers, Julian Yeomans, Mariia Kozlova, Ekaterina Albats
Technovation
Innovation and Knowledge Management
article

Initial opportunity selection for deep technologies: Deep Technology Opportunity Navigator (DTON)

Alexander Myers, Julian Yeomans, Mariia Kozlova, Ekaterina Albats
article en

Abstract

Deep technology ventures (DTVs) are new firms that aim to commercialize fundamental scientific or engineering breakthroughs and are usually located in the high-cost economies that fund such research. Deep technologies can potentially provide value to many industries or sectors but doing so requires making significant investments amid uncertainty. That situation complicates DTVs’ choice of the opportunity to focus on. We employed an iterative design science approach to develop a practical tool that can help DTVs navigate that complex decision. In doing so, we first reviewed the innovation management literature to identify the important factors in opportunity selection by a DTV. We subsequently interviewed a panel of deep technology entrepreneurship experts to supplement that information. These factors were translated into tool requirements. We analyzed existing opportunity selection tools against these requirements, finding only partial support for the DTV context. The same requirements were used to build an add-on to the widely used market opportunity navigator (MON) tool specifically to inform decision-making in DTVs. We label that advancement the deep technology opportunity navigator (DTON). The DTON was deployed as part of a facilitated workshop with two DTVs to collect feedback and iterate the design of the workshop and tool. The results of those workshops are supplemented by a thought experiment to imagine how it could help DTVs, providing illustrative examples of the potential impact of the new tool. The resulting DTON design is a practical tool that DTVs and other stakeholders can use to guide strategic decision-making, and its validation contributes to the literature on science-based entrepreneurship and opportunity selection. • Conceptualizes technological relatedness as an important consideration for deep technology initial opportunity selection. • Develops a tool, the Deep Technology Opportunity Navigator , to support initial opportunity selection for deep technologies. • Demonstrates the tool through use by two Deep Technology Ventures. • Presents a thought experiment to show how technological relatedness and uncertainty can influence deep technology strategy. • Advances the emerging academic conversation about deep technologies.

TechnovationVol. 151
York University (CA), Lappeenranta-Lahti University of Technology (FI)
Decent work and economic growth
Openalex Percentile: Top 94%
Innovation and Knowledge Management
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