x

We are happy to announce that all trial registrations will now be issued DOIs (digital object identifiers). For more information, see here.
Incentives for collaborative innovation
Last registered on September 04, 2017

Pre-Trial

Trial Information
General Information
Title
Incentives for collaborative innovation
RCT ID
AEARCTR-0002314
Initial registration date
August 02, 2017
Last updated
September 04, 2017 4:22 PM EDT
Location(s)
Region
Primary Investigator
Affiliation
UCLA Anderson
Other Primary Investigator(s)
PI Affiliation
Harvard Business School
Additional Trial Information
Status
In development
Start date
2017-08-08
End date
2019-08-28
Secondary IDs
Abstract
Field experiment testing different non-monetary incentives to motivate participation on a collaborative innovation platform.
External Link(s)
Registration Citation
Citation
Gallus, Jana and Karim Lakhani. 2017. "Incentives for collaborative innovation." AEA RCT Registry. September 04. https://doi.org/10.1257/rct.2314-2.0.
Former Citation
Gallus, Jana and Karim Lakhani. 2017. "Incentives for collaborative innovation." AEA RCT Registry. September 04. https://www.socialscienceregistry.org/trials/2314/history/21170.
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 interventions will draw on previous research in psychology and economics; they will be administered via email.
Intervention Start Date
2017-08-28
Intervention End Date
2018-08-28
Primary Outcomes
Primary Outcomes (end points)
Probability of engaging with platform after intervention
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
This study will use randomized block design. Within each block, subjects will be randomly allocated into the different treatment arms and will be sent the email corresponding to their assigned condition.
Experimental Design Details
Email messages containing the different treatments will be sent to the ~17,500 users who have registered an account on the internal innovation platform. The emails will be personalized and set up so as to track, by user ID, who opened them and who clicked on embedded links (to the innovation platform). Data management rules have been set up to drop certain user groups from the list before the randomization: - duplicate accounts (the ones with the lower ID# are dropped as lower ID#s indicate older accounts), - users with InnoCentive domains - users who are part of the [email protected]/CoECI team (list was provided by field partner) - users without name fields, lacking name and center affiliation information - users who are identified as interns (as these are transitory accounts} A stratified randomization procedure will be used, blocking on (1) prior platform engagement and (2) employment type (civil servant or contractor). Emails will all be sent out at the same time. Engagement with the emails (opening, click-through) will be considered as an outcome metric. The treatments were designed jointly with the field partner, to accommodate both practical and theoretical interests. The wording of the mission treatment was taken from NASA's most recent Strategic Plan and was designed so as to mimic how mission is used as an incentive within the organization. The analysis will also consider whether there are differential treatment effects by center affiliation or gender. Note: the initial roll-out date had to be postponed as it coincided with Hurricane Harvey.
Randomization Method
Randomization done in office by a computer.
Randomization Unit
Individual
Was the treatment clustered?
No
Experiment Characteristics
Sample size: planned number of clusters
Messages will be sent to pool of ~17,500 subjects who have registered an account on the platform.
Sample size: planned number of observations
About 17,500 individuals.
Sample size (or number of clusters) by treatment arms
The total sample of ~17,500 subjects is allocated evenly across the different treatment arms.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
UCLA IRB
IRB Approval Date
2017-07-06
IRB Approval Number
17-001001
Post-Trial
Post Trial Information
Study Withdrawal
Intervention
Is the intervention completed?
No
Is data collection complete?
Data Publication
Data Publication
Is public data available?
No
Program Files
Program Files
Reports and Papers
Preliminary Reports
Relevant Papers