Keep Your Friends Close, Your Enemies Closer: The Case for Inclusive Innovation Policy

26 Pages Posted: 10 Sep 2016

See all articles by Jason Potts

Jason Potts

Royal Melbourne Institute of Technolog (RMIT University)

Darcy W E Allen

Royal Melbourne Institute of Technolog (RMIT University)

Trent MacDonald

RMIT University; RMIT Blockchain Innovation Hub; ARC Centre of Excellence for Automated Decision-Making and Society

Date Written: September 7, 2016

Abstract

Innovation policy has developed along two broad fronts: market failure and systems failure. Both focus on investing in innovation (solving a market incentive problem) and building infrastructure for innovation (solving an institutional coordination problem). But an alternative approach to innovation policy, suggested by Juma (2016), is to focus on overcoming latent resistance through inclusive innovation (solving a socio-behavioural resistance problem). We distinguish between innovation policy that seeks to ‘help its friends’ versus innovation policy based about ‘engaging its enemies’. This paper explores what an inclusive innovation policy approach based on engaging with the enemies of innovation might look like and how it would be developed.

Keywords: innovation policy, inclusive innovation, innovation resistance

JEL Classification: D04, D71, E60, H11, L5, O3

Suggested Citation

Potts, Jason and Allen, Darcy W E and MacDonald, Trent, Keep Your Friends Close, Your Enemies Closer: The Case for Inclusive Innovation Policy (September 7, 2016). Available at SSRN: https://ssrn.com/abstract=2836301 or http://dx.doi.org/10.2139/ssrn.2836301

Jason Potts (Contact Author)

Royal Melbourne Institute of Technolog (RMIT University) ( email )

Darcy W E Allen

Royal Melbourne Institute of Technolog (RMIT University) ( email )

Melbourne, 3000
Australia

Trent MacDonald

RMIT University ( email )

124 La Trobe Street
Melbourne, VIC 3000
Australia

RMIT Blockchain Innovation Hub ( email )

106-108 Victoria Street
Carlton, VIC 3053
Australia

ARC Centre of Excellence for Automated Decision-Making and Society ( email )

106-108 Victoria Street
Carlton, VIC 3053
Australia

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