Caught In The Middle: The Bias Against Startup Innovation With Technical And Commercial Challenges / Ashish Arora, Andrea Fosfuri, Thomas Roende.

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Arora, Ashish

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Material type: Text

TextSeries: Working Paper Series (National Bureau of Economic Research) ; no. w29654.Publication details: Cambridge, Mass. National Bureau of Economic Research 2022.Description: 1 online resource: illustrations (black and white)Subject(s):

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Abstract: Startups in IT and life sciences appear to be flourishing. However, startups in other sectors, such as new materials, automation, and eco-innovations, which are often called "deep tech", seem to struggle. We argue that innovations with both technical and commercial challenges, typical of deep tech innovations, are especially disadvantaged in a startup-based innovation system. We develop an analytical model where startups are more efficient at solving technical challenges and incumbents are more efficient at solving commercial challenges. We find that the startup-based system works better for "specialized" innovations, where only one type of challenges is significant. Startups which face both technical and commercial challenges are disadvantaged because they capture a smaller fraction of the value they create. We discuss the implications for various public policies that have been proposed to encourage deep-tech.

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Item type	Home library	Collection	Call number	Status	Date due	Barcode	Item holds
Working Paper	Biblioteca Digital	Colección NBER	nber w29654 (Browse shelf(Opens below))	Not For Loan

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January 2022.

Startups in IT and life sciences appear to be flourishing. However, startups in other sectors, such as new materials, automation, and eco-innovations, which are often called "deep tech", seem to struggle. We argue that innovations with both technical and commercial challenges, typical of deep tech innovations, are especially disadvantaged in a startup-based innovation system. We develop an analytical model where startups are more efficient at solving technical challenges and incumbents are more efficient at solving commercial challenges. We find that the startup-based system works better for "specialized" innovations, where only one type of challenges is significant. Startups which face both technical and commercial challenges are disadvantaged because they capture a smaller fraction of the value they create. We discuss the implications for various public policies that have been proposed to encourage deep-tech.