x

We are happy to announce that all trial registrations will now be issued DOIs (digital object identifiers). For more information, see here.
Back to History Current Version
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
Location(s)
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.2793-1.0
Former Citation
Giones, Ferran. 2018. "Accelerating Science-based Growth Through Co-innovation." AEA RCT Registry. March 21. https://www.socialscienceregistry.org/trials/2793/history/26990
Sponsors & Partners

There are documents in this trial unavailable to the public. Use the button below to request access to this information.

Request Information
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
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
Not available
Randomization Method
Randomization done by a computer in the office
Randomization Unit
Individual
Was the treatment clustered?
No
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
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
SDU Research Support
IRB Approval Date
2017-04-24
IRB Approval Number
Project - 95-482-74152
Analysis Plan