Risk perceptions of motor-insurance fraud in Nigeria: insights from industry experts

Motor insurance fraud poses a critical threat to the insurer solvency and market integrity, particularly in developing economies where regulatory enforcement and data infrastructure remain weak. In Nigeria, both opportunistic exaggerations (“soft” fraud) and deliberate schemes (“hard” fraud) distort claims performance and erode public confidence in insurance. This study investigates how industry professionals perceive the scale and consequences of fraud, drawing on behavioural and institutional perspectives. Using an expert elicitation methodology, data were obtained through a structured questionnaire administered to 120 insurance experts, including underwriters, claims managers, brokers, and regulators. The findings reveal that systemic weaknesses, such as weak enforcement and cultural tolerance for minor deception, amplify fraud risks. Respondents viewed soft fraud as more frequent but harder to prove, while hard fraud was perceived as less common yet more financially damaging. These results extend existing literature by providing context-specific, empirically grounded evidence from a sub-Saharan African market where reliable claims data are scarce. The study contributes to risk research by demonstrating how perceptions of fraud are shaped by institutional capacity, and it offers actionable implications for enhancing regulatory oversight, improving insurer resilience, and strengthening governance frameworks in emerging insurance markets.

Authors

Publication Details

Journal
ePrints Soton (University of Southampton)
Published
2025-12-26
Primary Topic
Imbalanced Data Classification Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Risk perceptions of motor-insurance fraud in Nigeria: insights from industry experts

Ian Dawson, Mario Brito, Shoyemi Shoyemi
ePrints Soton (University of Southampton)
Imbalanced Data Classification Techniques
article

Risk perceptions of motor-insurance fraud in Nigeria: insights from industry experts

Ian Dawson, Mario Brito, Shoyemi Shoyemi
article en

Abstract

Motor insurance fraud poses a critical threat to the insurer solvency and market integrity, particularly in developing economies where regulatory enforcement and data infrastructure remain weak. In Nigeria, both opportunistic exaggerations (“soft” fraud) and deliberate schemes (“hard” fraud) distort claims performance and erode public confidence in insurance. This study investigates how industry professionals perceive the scale and consequences of fraud, drawing on behavioural and institutional perspectives. Using an expert elicitation methodology, data were obtained through a structured questionnaire administered to 120 insurance experts, including underwriters, claims managers, brokers, and regulators. The findings reveal that systemic weaknesses, such as weak enforcement and cultural tolerance for minor deception, amplify fraud risks. Respondents viewed soft fraud as more frequent but harder to prove, while hard fraud was perceived as less common yet more financially damaging. These results extend existing literature by providing context-specific, empirically grounded evidence from a sub-Saharan African market where reliable claims data are scarce. The study contributes to risk research by demonstrating how perceptions of fraud are shaped by institutional capacity, and it offers actionable implications for enhancing regulatory oversight, improving insurer resilience, and strengthening governance frameworks in emerging insurance markets.

ePrints Soton (University of Southampton)
Openalex Percentile: Top 14%
Imbalanced Data Classification Techniques
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.