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

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
August 04, 2017, 12:40 PM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Last updated
September 04, 2017, 4:22 PM EDT

Last updated is the most recent time when changes to the trial's registration were published.

Locations

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

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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 NASA@work/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

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Intervention

Is the intervention completed?
No
Data Collection Complete
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials