Consumer Complaints as Infrastructure Failure Signals: Systemic Vulnerability Architectures and a Failure Ecosystem Framework for Consumer Finance

Consumer financial services depend on interconnected institutions, products and regulatory processes, yet complaints about failures within this infrastructure are usually analysed as individual cases or grouped using administrative categories. This study examines whether large-scale complaint data can instead reveal recurring structures of failure. Using 4.7 million complaints submitted to the U.S. Consumer Financial Protection Bureau between 2011 and 2024, we develop a Failure Ecosystem Framework that groups complaint narratives by semantic similarity and traces the institutions and products associated with each group over time. The analysis identifies 16 failure ecosystems, spanning credit reporting, identity theft, debt collection, payment disputes, mortgage servicing and digital finance. These ecosystems differ substantially: some failures concentrate among a few institutions while others are widely distributed, and in many, the same institution–product combinations recur from year to year. Greater concentration is not systematically associated with better or worse complaint outcomes, and the evidence is least conclusive for monetary compensation. Corrective outcomes vary more across failure types than with concentration, indicating that market structure alone cannot explain how consumer failures are remedied. Complaints can therefore reveal persistent structures of failure that case-by-case review does not expose, supporting system-level monitoring of vulnerabilities in consumer finance.

Authors

Institutions

Publication Details

Journal
Systems
Published
2026-09-01
DOI
https://doi.org/10.3390/systems14091073
Primary Topic
Insurance and Financial Risk Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Consumer Complaints as Infrastructure Failure Signals: Systemic Vulnerability Architectures and a Failure Ecosystem Framework for Consumer Finance

Chong Guan, Tristan L. Lim, Zhiyuan Wang, Poh Ling Neo
Systems
Insurance and Financial Risk Management
article

Consumer Complaints as Infrastructure Failure Signals: Systemic Vulnerability Architectures and a Failure Ecosystem Framework for Consumer Finance

Chong Guan, Tristan L. Lim, Zhiyuan Wang, Poh Ling Neo
article en

Abstract

Consumer financial services depend on interconnected institutions, products and regulatory processes, yet complaints about failures within this infrastructure are usually analysed as individual cases or grouped using administrative categories. This study examines whether large-scale complaint data can instead reveal recurring structures of failure. Using 4.7 million complaints submitted to the U.S. Consumer Financial Protection Bureau between 2011 and 2024, we develop a Failure Ecosystem Framework that groups complaint narratives by semantic similarity and traces the institutions and products associated with each group over time. The analysis identifies 16 failure ecosystems, spanning credit reporting, identity theft, debt collection, payment disputes, mortgage servicing and digital finance. These ecosystems differ substantially: some failures concentrate among a few institutions while others are widely distributed, and in many, the same institution–product combinations recur from year to year. Greater concentration is not systematically associated with better or worse complaint outcomes, and the evidence is least conclusive for monetary compensation. Corrective outcomes vary more across failure types than with concentration, indicating that market structure alone cannot explain how consumer failures are remedied. Complaints can therefore reveal persistent structures of failure that case-by-case review does not expose, supporting system-level monitoring of vulnerabilities in consumer finance.

SystemsVol. 14(9)
Singapore University of Social Sciences (SG)
Openalex Percentile: Top 5%
Insurance and Financial Risk Management
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.