Advanced Analytics Research Project

Perceived Dark UI Cues, FOMO, and Online Impulse Buying among Student Consumers in Bangladesh

A quantitative research project examining how perceived manipulative interface cues influence fear of missing out and impulsive online purchasing among student consumers in Bangladesh through the Stimulus–Organism–Response framework.

Course Research Project • Completed 2026

Course Advanced Analytics

Course Code BSA4202

Institution UIU

Research Method PLS-SEM

01 — Project Overview

Why this research matters.

E-commerce interfaces increasingly use countdown timers, flash-sale messages, low-stock warnings, recommendations and other urgency-driven cues to encourage consumers to make faster purchasing decisions.

This study examined whether perceived dark UI cues contribute to fear of missing out (FOMO) and whether FOMO subsequently encourages impulsive buying behavior among student online consumers in Bangladesh.

The project also examined the roles of visual complexity and perceived ease of use in explaining online purchasing behavior.

Research Team

Fardin Maula • Safina Dewan Mahima • Tasnim Binta Habib • Marufa Akter

Project Snapshot

Research Design Quantitative, Cross-sectional

Valid Sample 154 online consumers

Analysis Software SmartPLS 4

Statistical Technique Partial Least Squares Structural Equation Modeling

Bootstrap Resamples 5,000

Role Co-author

02 — Research Questions

What did we investigate?

RQ1

Do perceived dark UI cues influence FOMO among student online consumers in Bangladesh?

RQ2

Does visual complexity influence fear of missing out?

RQ3

Does perceived ease of use influence impulsive buying behavior?

RQ4

Does FOMO influence impulsive buying behavior?

RQ5

Does FOMO mediate the relationship between perceived dark UI cues and impulsive buying?

RQ6

Does FOMO mediate the relationship between visual complexity and impulsive buying?

03 — Conceptual Framework

Stimulus–Organism–Response.

The model positions interface-related stimuli as drivers of psychological responses and subsequent purchasing behavior.

Perceived Dark UI Cues

Visual Complexity

Fear of Missing Out (FOMO)

Impulsive Buying Behavior

Perceived Ease of Use

Impulsive Buying Behavior

S-O-R model applied to e-commerce interface design and consumer behavior.

04 — Methodology

How the study was conducted.

Survey

Structured online questionnaire using five-point Likert-scale measurement items.

Sample

184 responses were initially collected, with 154 valid cases retained after screening.

PLS-SEM

Measurement and structural models were estimated using SmartPLS 4.

Bootstrapping

Statistical significance was assessed using 5,000 bootstrap resamples.

05 — Key Results

What did the model reveal?

The analysis showed that urgency and scarcity-related UI cues were more influential than visual complexity in generating FOMO.

Dark UI → FOMO

Supported

Perceived dark UI cues significantly increased fear of missing out.

β = 0.557 • p < .001

Visual Complexity → FOMO

Not Supported

Visual complexity did not show a statistically significant direct relationship with FOMO.

β = 0.158 • p = .063

Ease of Use → Impulse Buying

Supported

Easier and more frictionless shopping experiences were associated with stronger impulsive buying behavior.

β = 0.334 • p < .001

FOMO → Impulse Buying

Supported

FOMO emerged as the strongest direct predictor of impulsive buying in the model.

β = 0.570 • p < .001

Dark UI → FOMO → Buying

Mediation

FOMO significantly mediated the effect of perceived dark UI cues on impulsive buying behavior.

Indirect β = 0.317 • p < .001

Complexity → FOMO → Buying

Mediation

Visual complexity showed a smaller but statistically significant indirect effect through FOMO.

Indirect β = 0.090 • p = .048

0.434 R² — FOMO

0.588 R² — Impulse Buying

0.092 SRMR

154 Valid Cases

06 — Interpretation

What I learned from the findings.

Dark UI cues create psychological pressure.

Urgency and scarcity signals such as countdown timers, flash-sale messages and low-stock notifications were strongly associated with FOMO.

FOMO matters more than interface busyness.

Visual complexity alone did not significantly generate FOMO, suggesting that manipulative content cues and general visual clutter operate differently.

FOMO strongly predicts impulsive buying.

Consumers experiencing higher FOMO were substantially more likely to report spontaneous online purchasing behavior.

Convenience can also encourage impulse purchases.

Perceived ease of use had a significant positive relationship with impulsive buying, highlighting the behavioral effects of frictionless purchasing.

07 — Implications

Why the findings matter.

UX Design

E-commerce platforms should distinguish between useful persuasion and manipulative urgency or scarcity cues.

Digital Marketing

Marketers should balance conversion-focused tactics with transparency and long-term consumer trust.

Consumer Protection

The findings support greater attention to interface-level consumer protection in Bangladesh's growing e-commerce sector.

08 — Skills Demonstrated

What this project represents.

Quantitative Research SmartPLS 4 PLS-SEM Structural Equation Modeling Survey Design Reliability Analysis Validity Assessment Mediation Analysis Data Interpretation Academic Writing Literature Review Consumer Behavior

Portfolio note

This was completed as a team research project for the Advanced Analytics course at United International University. It is presented here as an academic course research project, not as a peer-reviewed publication.

Explore more of my work.

This project is part of my growing portfolio in Business Analytics, consumer behavior and academic research.

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