The Role of Monthly Office Days in a Fully Remote Work Model

Last registered on June 05, 2024
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Pre-Trial

Trial Information

General Information

Title
The Role of Monthly Office Days in a Fully Remote Work Model
RCT ID
AEARCTR-0013714
Initial registration date
May 29, 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, 4:06 AM EDT

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

Last updated
June 05, 2024, 3:13 PM EDT

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

Locations

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Primary Investigator

Name
Cevat Giray Aksoy
Affiliation
EBRD and King's College London
Contact Primary Investigator

Other Primary Investigator(s)

PI Name
Victoria Marino
PI Affiliation
EBRD
PI Name
Cem Ozguzel
PI Affiliation
Paris School of Economics
PI Name
Nicholas Bloom
PI Affiliation
Stanford
PI Name
Steven Davis
PI Affiliation
Stanford

Additional Trial Information

Status
In development
Start date
2024-07-01
End date
2025-12-31
Keywords
Firms & Productivity, Labor
Additional Keywords
Remote Work, Productivity, Job Satisfaction, Retention
JEL code(s)
M12, M54, J24, L84
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This trial assesses the impact of remote work with monthly office visits on productivity and job satisfaction among call center agents in Sanliurfa, Turkey. In the partner institution, agents typically work fully remotely. As part of the trial, some randomly selected employees will visit the office once a month. The study aims to evaluate productivity, job satisfaction, and retention over nine months. Follow-up surveys will be conducted several months after the intervention to measure long-term effects.
External Link(s)

Registration Citation

Citation
Aksoy, Cevat Giray et al. 2024. "The Role of Monthly Office Days in a Fully Remote Work Model." AEA RCT Registry. June 05. https://doi.org/10.1257/rct.13714-1.3
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
Call center agents, who already work remotely, will be randomly assigned to monthly office visits. The company's systems will track productivity and performance data. Regular surveys will collect data on job satisfaction.
Intervention Start Date
2024-07-01
Intervention End Date
2025-03-31

Primary Outcomes

Primary Outcomes (end points)
Productivity metrics (e.g., number of calls handled, average handling time), service quality, job satisfaction.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Randomised control trial with individual-level randomization. Agents will be assigned to treatment and control groups based on odd/even company ID numbers.
Experimental Design Details
Not available
Randomization Method
Based on the odd/even number of agents’ employee ID numbers.
Randomization Unit
Individual call center agent.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
250.
Sample size: planned number of observations
250 agents and their daily productivity outcomes and monthly performance evaluation metrics.
Sample size (or number of clusters) by treatment arms
125 agents in the treatment group, 125 agents in the control group.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
IRB

Institutional Review Boards (IRBs)

IRB Name
King’s College London
IRB Approval Date
2024-05-15
IRB Approval Number
King’s College London, MRA-23/24-43056
Analysis Plan

Analysis Plan Documents

Pre-analysis plan.pdf

MD5:

SHA1:

Uploaded At: June 05, 2024