Trust and Power in Consumer Credit Relationships - Rethinking Creditworthiness in the Data Driven Age

This book examines the structural asymmetries embedded in contemporary consumer credit systems. Trust essential to economic exchange is increasingly withheld from borrowers while demanded of them. Lenders operate with minimal visibility or accountability; borrowers must navigate opaque infrastructures, absorb unilateral judgments, and bear the consequences of exclusion. Over the past two decades, credit markets have expanded through algorithmic risk assessment and automated decision-making. Yet the cost of evaluating creditworthiness and the entrenchment of risk-based pricing has deepened exclusion for those experiencing financial difficulty. Surveillance-based scoring systems discipline borrower behaviour, obscure hardship, and produce reputational harm that reverberates across households and public institutions. At the centre of the book is the Trust Intelligent framework: a seven-domain model for diagnosing and redesigning trust power configurations in credit relationships. It operationalises trust to reduce systemic risk, improve decision accuracy, and restore borrower agency. Grounded in empirical evidence, the framework supports practical reforms integrating contextual data into credit files, rendering lender conduct visible, and establishing multistakeholder oversight of algorithmic systems. Rather than accepting the trajectory of deeper data extraction and one-sided surveillance, the book proposes a reciprocal model of information exchange one that improves outcomes and embeds mutual accountability. It offers a blueprint for reform that is both conceptually rigorous and institutionally actionable. This is a book for those who design, regulate, and critique credit systems: lenders, credit reference agencies, financial regulators, consumer advocates, and scholars of trust, governance, and institutional design. Drawing on economics, sociology, political science, and organisational studies, it presents a multidisciplinary account of how trust can be rebuilt within and beyond consumer credit.

List of contents

Preface.- Chapter 1: Introduction.- Chapter 2: Trust and power in the credit relationship.- Chapter 3: Reputation, risk, profit and indebtedness.- Chapter 4: Modern challenges and the need for trust intelligence .- Chapter 5: Conclusions and recommendations.

About the author

Damon Gibbons
is the founder and Chief Executive of the Centre for Responsible Credit, a UK charity working to reform credit markets and improve support for people in debt. He is the author of Britain’s Personal Debt Crisis (2014) and has been at the fore of national and international campaigns on credit, debt, and financial exclusion for over two decades. With more than thirty years’ experience designing and commissioning services for disadvantaged communities, Damon’s advocacy has helped secure landmark caps on payday lending (2015) and rent-to-own credit (2019). With an academic background in Economics, Politics, and Public Policy, he continues to lead research and innovation at the intersection of trust, governance, and financial justice.

Summary

This book examines the structural asymmetries embedded in contemporary consumer credit systems. Trust—essential to economic exchange—is increasingly withheld from borrowers while demanded of them. Lenders operate with minimal visibility or accountability; borrowers must navigate opaque infrastructures, absorb unilateral judgments, and bear the consequences of exclusion.
 
Over the past two decades, credit markets have expanded through algorithmic risk assessment and automated decision-making. Yet the cost of evaluating ‘creditworthiness’—and the entrenchment of risk-based pricing—has deepened exclusion for those experiencing financial difficulty. Surveillance-based scoring systems discipline borrower behaviour, obscure hardship, and produce reputational harm that reverberates across households and public institutions.
 
At the centre of the book is the Trust Intelligent framework: a seven-domain model for diagnosing and redesigning trust–power configurations in credit relationships. It operationalises trust to reduce systemic risk, improve decision accuracy, and restore borrower agency. Grounded in empirical evidence, the framework supports practical reforms—integrating contextual data into credit files, rendering lender conduct visible, and establishing multistakeholder oversight of algorithmic systems.
 
Rather than accepting the trajectory of deeper data extraction and one-sided surveillance, the book proposes a reciprocal model of information exchange—one that improves outcomes and embeds mutual accountability. It offers a blueprint for reform that is both conceptually rigorous and institutionally actionable.
 
This is a book for those who design, regulate, and critique credit systems: lenders, credit reference agencies, financial regulators, consumer advocates, and scholars of trust, governance, and institutional design. Drawing on economics, sociology, political science, and organisational studies, it presents a multidisciplinary account of how trust can be rebuilt—within and beyond consumer credit.

Product details

• Authors: Damon Gibbons
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Release: 11.05.2026
• EAN: 9783032139566
• ISBN: 978-3-0-3213956-6
• Illustrations: Approx. 200 p. 5 illus.
• Subjects: Social sciences, law, business > Business > Individual industrial sectors, branches; Management und Managementtechniken, Risikobewertung, Financial Services, risk management, transaction costs, Risk assessment, consumer credit, predatory lending, credit scoring, Over-indebtedness, risk-based pricing, irresponsible lending practices, economics of trust, creditworthiness