Perceived Value, Perceived Harm: Economic Incentives and Bystander Intervention in Workplace Harassment

Last registered on March 12, 2026

Pre-Trial

Trial Information

General Information

Title
Perceived Value, Perceived Harm: Economic Incentives and Bystander Intervention in Workplace Harassment
RCT ID
AEARCTR-0017980
Initial registration date
March 11, 2026

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 12, 2026, 4:46 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
Northwestern University

Other Primary Investigator(s)

PI Affiliation
Northwestern University
PI Affiliation
Ashoka University
PI Affiliation
Imperial College London

Additional Trial Information

Status
In development
Start date
2026-03-11
End date
2026-05-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Sexual harassment in customer-facing workplaces remains a significant barrier to women’s economic participation, particularly in settings where formal protections are weak. In small retail shops, harassment often occurs in public view, placing responsibility on coworkers or shop owners to decide whether and how to intervene. These decisions may be influenced not only by moral considerations but also by economic incentives.

This study examines whether a customer’s economic value to a business affects bystander responses to workplace harassment. We conduct a field-based vignette experiment with retail shop owners and employees working in customer-facing shops in Delhi, India. The vignette was specifically designed for this study to closely match the setting respondents know from their daily work: a small customer-facing retail shop in Delhi, Indian characters, locally familiar interactions, and the sale of kurtas and similar apparel. The behavior shown in the video is identical across participants. We experimentally vary only the customer’s total spending and how that spending is conveyed (through higher price per item or greater quantity purchased).

After viewing the video, respondents report what action they would take, if any, how serious they perceive the behavior to be, what consequences they anticipate from intervening, and what they believe others in the workplace would do, as well as expect them to do. This design allows us to isolate whether higher-spending customers receive different responses, even when the nature of the misconduct is unchanged. The study contributes to understanding how economic incentives and status signals shape workplace norms and bystander intervention in client-facing sectors.
External Link(s)

Registration Citation

Citation
Beaman, Lori et al. 2026. "Perceived Value, Perceived Harm: Economic Incentives and Bystander Intervention in Workplace Harassment." AEA RCT Registry. March 12. https://doi.org/10.1257/rct.17980-1.0
Experimental Details

Interventions

Intervention(s)
Our experimental design uses animated, video-based vignettes, designed to represent a typical customer interaction in an apparel store. Each vignette depicts the same pattern of customer harassment directed at a female employee. The harassment script and behavioral cues are held constant across treatment arms. We experimentally vary only the economic value of the customer to the shop, implemented through a cross-randomization of two dimensions of purchase behavior.

First, we vary the customer’s total spending, which serves as a signal of the customer’s economic importance. Respondents are randomly assigned to one of three conditions:
● High-value customer: high total spending
● Medium-value customer: medium total spending
● Low-value customer: low total spending

Second, we vary whether total spending is conveyed by quantity or quality. In one condition, spending is signaled through the price per unit, with the customer purchasing a single item at different prices. In the other condition, spending is signaled through quantity purchased, with the customer buying multiple units (three, two, or one) at a constant low per-unit price. Ultimately, respondents are assigned to one of five conditions with low total spending (buying 1 unit at low price) is the control group.

Respondents view only one vignette, ruling out within-subject contamination or learning effects. The design varies the economic cost of intervention both in magnitude and in the way customer value is signaled, by cross-randomizing total spending and whether spending is conveyed through price per unit or quantity purchased. Holding the harassing behavior constant, this allows us to study whether and how a customer’s perceived financial value and associated status cues shape bystanders’ interpretations of the situation and their intervention choices.
Intervention Start Date
2026-03-11
Intervention End Date
2026-05-31

Primary Outcomes

Primary Outcomes (end points)
The primary outcomes are based on the single action respondents report they would take first after viewing the video vignette. Respondents are first asked to select all actions they might consider taking in the situation. They are then asked to select, from that subset, the action they would be most likely to take first. The first action selected is used to construct the following primary outcome:

Financial-Loss–Inducing First Action: A binary indicator equal to 1 if the first action selected risks immediate financial loss for the shop, and zero otherwise. Actions classified as financial loss-inducing include those that could directly jeopardize the transaction or customer relationship. All other actions are coded 0.

Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (End Points)

1. Perceived Severity
Perceived severity is measured using a 0–10 scale in response to the question: “Do you think the customer’s behavior was problematic?”, where 0 indicates “not at all problematic” and 10 indicates “extremely problematic.”

The timing of the severity question is randomized at the individual level. For some respondents, severity is elicited before the intervention decision; for others, it is elicited afterward. This allows us to examine whether reported severity differs depending on whether it is measured before or after respondents state their intended action.

2. Anticipated Consequences of Intervention:
Respondents indicate, on a 1–5 Likert scale (1 = Very unlikely, 5 = Very likely), what they believe would occur if someone directly confronted the customer. We construct the following measures:
(i) Financial Loss Index: Average of items capturing anticipated cancellation of purchase, loss of future business, and reputational harm through a public scene.
(ii) Professional / Job-Related Risk Index (employees only): Average of items capturing anticipated managerial complaint, reprimand, or job loss.
(iii) Personal Safety Risk Measure: Likelihood that the customer becomes aggressive or violent.
(iv) Expected Intervention Compliance Measure: Likelihood that the customer stops the behavior upon confrontation and the sale continues.
Indices will be standardized using the mean and standard deviation of the low-spending (baseline) treatment group.

3. Second-Order Beliefs
Respondents are asked what they believe relevant actors would want them to do first in the situation depicted in the video. For each reference group, respondents select one action from the same list used for their own decision. Reference groups include the shop owner/manager (for employees) or employees (for employers), and the female sales assistant in the vignette.
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
The study is a field-based, randomized vignette experiment conducted among retail shop owners, managers, and employees in Delhi, India. The target sample consists of approximately 1,000 shops. Within each shop, up to three respondents (owner/manager and up to two employees) are surveyed. Randomization occurs at the individual level within shops. Each respondent is independently assigned to one of five treatment conditions. The five conditions arise from variation in total customer spending (low, medium, high) and whether spending is conveyed through price per unit or quantity purchased. The low-spending condition serves as the baseline group. Each respondent views only one version of the vignette.
Experimental Design Details
Not available
Randomization Method
Treatment assignment is conducted using computer-generated randomization embedded in the SurveyCTO survey software. Each respondent is independently and automatically assigned to one of the five treatment conditions at the time of survey administration. It does not involve enumerator discretion.
Randomization Unit
The unit of randomization is the individual respondent. Each shop owner, manager, or employee is independently assigned to a treatment condition. Multiple respondents may be surveyed within the same shop; therefore, while randomization occurs at the individual level, statistical inference will account for clustering at the shop level.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
1,000 retail shops
Sample size: planned number of observations
Approximately 3,000 individual respondents (up to 3 respondents per shop across 1,000 shops)
Sample size (or number of clusters) by treatment arms
Approximately 600 individual respondents per treatment arm (5 arms total), assuming 3,000 total respondents and equal allocation across arms.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
DAI Research & Advisory Services Pvt Ltd
IRB Approval Date
2025-05-27
IRB Approval Number
DEL-IW-02/2024-2025
Analysis Plan

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