Innovation Choice under Termination Risk

Last registered on March 29, 2021

Pre-Trial

Trial Information

General Information

Title
Innovation Choice under Termination Risk
RCT ID
AEARCTR-0007431
Initial registration date
March 29, 2021

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
March 29, 2021, 10:52 AM EDT

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

Locations

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Primary Investigator

Affiliation

Other Primary Investigator(s)

Additional Trial Information

Status
On going
Start date
2017-08-01
End date
2022-12-31
Secondary IDs
Abstract
Innovation Choice under Termination Risk
External Link(s)

Registration Citation

Citation
Klingebiel, Ronald. 2021. "Innovation Choice under Termination Risk." AEA RCT Registry. March 29. https://doi.org/10.1257/rct.7431
Experimental Details

Interventions

Intervention(s)
Participants collectively form the employee pool of a virtual company. Problem-solving tasks come in routine and innovation variety. Employees can choose whether or not to attempt the innovation task (routine is default). Manipulation is firms' process (one-off tunnel vs two-stage funnel) for deciding who should be permitted to work on innovation. The decision criterion is an effectiveness forecast.
Intervention Start Date
2018-03-01
Intervention End Date
2020-09-01

Primary Outcomes

Primary Outcomes (end points)
Innovation Choice
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
2 treatments ("tunnel" & "funnel" firms)
Experimental Design Details
Not available
Randomization Method
alternating treatment assignment by time of login to the computer system
Randomization Unit
individuals
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
40 virtual firms
Sample size: planned number of observations
500 employees
Sample size (or number of clusters) by treatment arms
250
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Frankfurt School of Finance and Management
IRB Approval Date
2017-04-18
IRB Approval Number
2017-04-18