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Motivating social compliance in a multi-tier supply chain framework: Experimental evidence on the role of framing and financial incentives

Last registered on April 03, 2025

Pre-Trial

Trial Information

General Information

Title
Motivating social compliance in a multi-tier supply chain framework: Experimental evidence on the role of framing and financial incentives
RCT ID
AEARCTR-0015674
Initial registration date
March 30, 2025

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
April 03, 2025, 1:03 PM EDT

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

Locations

Primary Investigator

Affiliation

Other Primary Investigator(s)

PI Affiliation
UEA

Additional Trial Information

Status
In development
Start date
2025-03-30
End date
2025-11-30
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
The Rana Plaza collapse in 2013 exposed the limitations of conventional models of private regulation of social compliance in global supply chains, which rely on multinational corporations to implement supplier codes of conduct and periodic audits. The growing complexity of globally dispersed multi-tier supply chains limits the ability of multinational enterprises to effectively monitor and influence all upstream suppliers, particularly those beyond direct suppliers, where the most severe human rights violations often take place. To mitigate reputational and financial risks, lead firms delegate the responsibility of monitoring sub-suppliers to direct suppliers, who face conflicting demands to minimize costs while ensuring social compliance. This study explores how first-tier suppliers’ perceptions of fairness and reciprocity influence their efforts to ensure social compliance within their own operations and among their sub-suppliers. We implement a novel online experiment with approximately 400 participants in South Africa, simulating a multi-tier supply chain involving a lead firm (Alpha), a first-tier supplier (Beta), and a second-tier supplier (Gamma). Participants assigned to Beta are randomly assigned to one of three treatment conditions that vary the framing of Alpha’s social compliance demands and the type of incentives for suppliers to comply. We test whether Beta allocates more effort to monitoring Gamma and whether Beta’s compliance improve when Alpha’s demands are framed in a more collaborative and procedurally fair manner, and when such framing is combined with monetary incentives.
External Link(s)

Registration Citation

Citation
Borcan, Oana and Nikita Grabher-Meyer. 2025. "Motivating social compliance in a multi-tier supply chain framework: Experimental evidence on the role of framing and financial incentives ." AEA RCT Registry. April 03. https://doi.org/10.1257/rct.15674-1.0
Experimental Details

Interventions

Intervention(s)
This study investigates how different communication strategies from a lead firm (buyer) affect a supplier’s decisions regarding compliance with labour standards and the monitoring of upstream subcontractors in a stylised multi-tier global supply chain framework. The intervention varies the way compliance expectations are communicated, focusing on whether the message is framed in a more collaborative and fair manner and whether it is accompanied by a monetary incentive. The aim is to assess how such strategies influence supplier behaviour related to upstream monitoring effort and own compliance performance.
Intervention Start Date
2025-03-30
Intervention End Date
2025-05-30

Primary Outcomes

Primary Outcomes (end points)
In the experiment, participants take on the role of a supplier responsible for completing a production order, complying with labour standards, and deciding how much effort to invest in monitoring a subcontractor. The primary outcomes are designed to capture key aspects of the supplier’s behaviour under different treatment conditions. These include: 1) The amount of time (in seconds) the supplier allocates to monitoring subcontractors, as determined by their selected inspection policy; 2) The supplier’s performance on the compliance task (operationalised as a transcription task).
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
In order to better understand the mechanisms that lie behind the results, we will elicit participants’ perceptions of fairness of the social compliance demands once all tasks are completed. This secondary outcome will be measured using a 10-point Likert scale, ranging from 1 (completely disagree) to 10 (completely agree).
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
The study uses an online experiment with participants recruited from the general working population in a sourcing country. Participants take on the role of a supplier who must allocate limited resources across multiple tasks, including production, compliance with labour standards, and oversight of an upstream subcontractor. Participants are randomly assigned to one of three experimental conditions, which vary how compliance expectations are communicated by the downstream partner (lead firm or buyer). The treatment arms differ in message framing and the presence or absence of a monetary incentive. To ensure realism and consistency in the experimental setting, decisions by upstream and downstream actors are collected in advance and matched ex post with participants in the main experimental role.
Experimental Design Details
Not available
Randomization Method
The randomisation will be implemented by Prolific, and participants will have an equal probability to be assigned to any treatment group.
Randomization Unit
The primary unit of randomisation is the individual participant.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
N/A
Sample size: planned number of observations
Approximately 400 individuals.
Sample size (or number of clusters) by treatment arms
Approximately 100 individuals per treatment arm (100 individuals in control, 100 individuals in treatment with framing only, 100 individuals in treatment with both framing and monetary incentive).
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
N/A
IRB

Institutional Review Boards (IRBs)

IRB Name
School of Economics Research Ethics Subcommittee, UEA
IRB Approval Date
2024-09-19
IRB Approval Number
ETH2425-0106