Delivery Uncertainty, Perceived Risk, and Cash-on-Delivery Refusal in Bangladesh

This study examines whether last-mile delivery uncertainty increases customers' intention to refuse a cash-on-delivery (COD) parcel at the doorstep, and whether perceived delivery risk mediates this relationship in Bangladesh's e-commerce sector. Design: Survey data were collected from 176 Bangladeshi online shoppers with recent COD experience and analysed using PLS-SEM in SmartPLS 4. The analysis included discriminant-validity testing, bootstrapped hypothesis testing, mediation analysis, and out-of-sample predictive assessment. Delivery uncertainty significantly increased perceived delivery risk (β = .393, p < .001), which significantly increased COD doorstep refusal intention (β = .458, p < .001). The direct effect of delivery uncertainty on refusal intention was not significant (β = .055, p = .489), whereas the indirect effect through perceived delivery risk was significant (β = .180, p < .001), indicating indirect-only mediation. DU and PDR also showed strong discriminant validity (HTMT = .415). Managers should address customers' risk perceptions through accurate order confirmation, timely reassurance, and clear service-recovery guarantees rather than relying on tracking visibility alone. The study distinguishes delivery uncertainty from perceived delivery risk at the delivery stage and links this psychological mechanism to COD doorstep refusal and the resulting reverse-logistics burden in an emerging market.

Authors

Institutions

Publication Details

Journal
Supply Chain Insider
Published
2026-10-15
DOI
https://doi.org/10.5281/zenodo.23311216
Primary Topic
Urban and Freight Transport Logistics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Delivery Uncertainty, Perceived Risk, and Cash-on-Delivery Refusal in Bangladesh

Ridoy Mondol, Rashadoujjaman Rakib, Md. Akib, Iftiaj Ahmed Siam
Supply Chain Insider
Urban and Freight Transport Logistics
article

Delivery Uncertainty, Perceived Risk, and Cash-on-Delivery Refusal in Bangladesh

Ridoy Mondol, Rashadoujjaman Rakib, Md. Akib, Iftiaj Ahmed Siam
article en

Abstract

This study examines whether last-mile delivery uncertainty increases customers' intention to refuse a cash-on-delivery (COD) parcel at the doorstep, and whether perceived delivery risk mediates this relationship in Bangladesh's e-commerce sector. Design: Survey data were collected from 176 Bangladeshi online shoppers with recent COD experience and analysed using PLS-SEM in SmartPLS 4. The analysis included discriminant-validity testing, bootstrapped hypothesis testing, mediation analysis, and out-of-sample predictive assessment. Delivery uncertainty significantly increased perceived delivery risk (β = .393, p < .001), which significantly increased COD doorstep refusal intention (β = .458, p < .001). The direct effect of delivery uncertainty on refusal intention was not significant (β = .055, p = .489), whereas the indirect effect through perceived delivery risk was significant (β = .180, p < .001), indicating indirect-only mediation. DU and PDR also showed strong discriminant validity (HTMT = .415). Managers should address customers' risk perceptions through accurate order confirmation, timely reassurance, and clear service-recovery guarantees rather than relying on tracking visibility alone. The study distinguishes delivery uncertainty from perceived delivery risk at the delivery stage and links this psychological mechanism to COD doorstep refusal and the resulting reverse-logistics burden in an emerging market.

Supply Chain Insider
Division of Human Resource Management (US)
Openalex Percentile: Top 16%
Urban and Freight Transport Logistics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.