Abstract

The prospect of solving ‘grand challenges’ through technological innovation justifies the interest shown in deep-tech start-ups. These companies develop technological solutions, which they then seek to implement on a massive scale during their scale-up phase. They nevertheless encounter difficulties at this stage, which starts with the validation of their business model. This research supplements the results reported in the literature on business models in the scale-up phase, with a design-oriented approach, which is better suited to the case of technology companies. Based on intervention research carried out in an urban agriculture deep-tech start-up, an axiomatic design tool is used to highlight the importance of distinguishing between the validation of elements of the business model and their preservation. This ensures that the deep-tech start-up’s subsequent developments are aligned with the goals of resolving major challenges.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.