Trust and Power in the Credit Relationship
Damon Gibbons ()
Additional contact information
Damon Gibbons: Centre for Responsible Credit
Chapter 2 in Trust and Power in Consumer Credit Relationships, 2026, pp 15-57 from Springer
Abstract:
Abstract This chapter analyses the consumer credit relationship through the interconnected concepts of trust and power. Drawing on the wider literature, it establishes trust as a reciprocal, two-way process, and introduces a seven-domain framework to assess the balance between trust and power in a relationship: coercion at entry, trustee power, control measures, reliance on guarantors or insurance, opportunities for repeated interaction, reciprocity, and breach handling. Application of this framework reveals a profound asymmetry: lenders exhibit weak trust, relying on rigid contracts, intensive monitoring, and punitive responses, while borrowers must extend high trust despite having little power and being coerced into relationships with credit reporting agencies. This configuration of low lender trust, high borrower trust, and strong lender power results in a system governed by surveillance and conditionality. The analysis provides a critical foundation for the book’s subsequent examination of information asymmetries and the development of its ‘trust intelligence’ approach to reform.
Date: 2026
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-032-13957-3_2
Ordering information: This item can be ordered from
http://www.springer.com/9783032139573
DOI: 10.1007/978-3-032-13957-3_2
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().