Firms' AI Adoption

Last registered on May 30, 2024

Pre-Trial

Trial Information

General Information

Title
Firms' AI Adoption
RCT ID
AEARCTR-0013696
Initial registration date
May 28, 2024

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
May 30, 2024, 3:51 AM EDT

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

Locations

Region

Primary Investigator

Affiliation
ifo Institute

Other Primary Investigator(s)

Additional Trial Information

Status
In development
Start date
2024-06-03
End date
2024-06-26
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
I study the adoption of AI by firms and its effects on firm behavior using information provision experiments in a large German firm survey.
External Link(s)

Registration Citation

Citation
Menkhoff, Manuel. 2024. "Firms' AI Adoption." AEA RCT Registry. May 30. https://doi.org/10.1257/rct.13696-1.0
Experimental Details

Interventions

Intervention(s)
two different information treatments
Intervention Start Date
2024-06-03
Intervention End Date
2024-06-26

Primary Outcomes

Primary Outcomes (end points)
expectations on productivity benefits of AI, AI adoption / software investments, firm performance and labor demand
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
The experimental component of the research design consists of randomization into three groups. Group A receives no information. Group B and C receive different information treatments.
Experimental Design Details
Firms in Group B receive an information treatment about recent studies that find substantial productivity improvements from generative AI. Group C receives information about the adoption of AI in the firm’s industry, which was elicited in the survey one year earlier.
Randomization Method
randomization done by the survey team (computer).
Randomization Unit
sectors (industry, services, trade, and construction)
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
4 sectors
Sample size: planned number of observations
6000 firms
Sample size (or number of clusters) by treatment arms
around 2000 firms control, around 2000 firms treatment A, around 2000 firms treatment B
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
IRB Approval Date
IRB Approval Number
Analysis Plan

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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