Accelerating Science-based Growth Through Co-innovation

Last registered on March 21, 2018

View Trial History

Pre-Trial

Trial Information

General Information

Title

Accelerating Science-based Growth Through Co-innovation

RCT ID

AEARCTR-0002793

Initial registration date

March 20, 2018

Last updated

March 21, 2018, 2:22 PM EDT

Locations

Country

Denmark

Region

Syddanmark

Primary Investigator

Name

Ferran Giones

Affiliation

University of Southern Denmark

Contact Primary Investigator

Other Primary Investigator(s)

Additional Trial Information

Status

In development

Start date

2018-04-17

End date

2018-06-29

Keywords

Education, Governance

Additional Keywords

Innovation Policy, Economic Growth

JEL code(s)

O32, O33, Q55, I23

Secondary IDs

Abstract

Does the participation in co-innovation training activities influence industry participants’ intentions to engage in university-industry co-innovation projects?
The aim of this trial is to explore the motivations of industry players to engage, or not, in collaborative innovation (co-innovation) projects. Training activities which engage university and industry participants can be a determinant for formal innovation and entrepreneurial projects. The trial objective is to determine the effects of tailored training programmes focused on modifying the co-innovation intention and its cognitive antecedents. This trial will be run in the border region of Southern Denmark.

External Link(s)

Project Description

Registration Citation

Citation

Giones, Ferran. 2018. "Accelerating Science-based Growth Through Co-innovation." AEA RCT Registry. March 21. https://doi.org/10.1257/rct.2793-4.0

Former Citation

Giones, Ferran and Ferran Giones. 2018. "Accelerating Science-based Growth Through Co-innovation." AEA RCT Registry. March 21. https://www.socialscienceregistry.org/trials/2793/history/44760

Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)

The intervention is a half-day workshop for a group of randomly selected participants from industry.

Intervention Start Date

2018-05-08

Intervention End Date

2018-05-11

Primary Outcomes

Primary Outcomes (end points)

Intention to engage in university-industry collaboration projects

Primary Outcomes (explanation)

This is a three item measure that captures different dimensions of the intention to engage in the behavior.

Secondary Outcomes

Secondary Outcomes (end points)

Response to a call to action to engage with a university researcher

Secondary Outcomes (explanation)

Experimental Design

Participants will be invited to register for a co-innovation program via email. A stratified random selection of the participants will be allocated to the treatment group (workshop training); the rest will be in the control group (business as usual). Treatment and control group will receive a report based on the responses to the survey. There is a follow-up survey after the intervention for both groups.

Experimental Design Details

The randomization strategy should ensure that existing intentions to engage in co-innovation projects are equally distributed between the control and treatment groups. We plan to allocate in the treatment group about 50% of the overall number of participants.

Randomization Method

Randomization done by a computer in the office

Randomization Unit

Individual

Was the treatment clustered?

Experiment Characteristics

Sample size: planned number of clusters

Invitation to registration and survey will be sent to 150 individuals (employees in start-up, SMEs or large companies in the region).

Sample size: planned number of observations

80 individuals

Sample size (or number of clusters) by treatment arms

35 individuals in training (intervention), 45 individuals in control.

Minimum detectable effect size for main outcomes (accounting for sample design and clustering)

The initial estimation of the required sample aims to observe significant differences (0.95) on the main outcome variable (the co-innovation intention) with statistical power (0.80). For an expected minimum detectable effect size (MDES) of 0.35 between the different groups measures, we would at least need 102 participants in each group to see significant differences. We are running this trial as a feasibility study to confirm if these assumptions are valid.

Supporting Documents and Materials

IRB