{"title":"For an AI-focused Fintech the approach to trust and privacy must be decided at the business model level","authors":"Alex Zarifis,Xusen Cheng","doi":"10.1108/jeim-03-2026-0461","DOIUrl":null,"url":null,"abstract":"Purpose This research validates that professionals across six artificial intelligence (AI)-focused Fintech business models endorse the inclusion of trust-building and addressing privacy concerns at the business model level. Trust-building and reducing privacy concerns should be one of the building blocks of a modern business model. Design/methodology/approach This research applied a mixed-method approach, analysing 12 interviews with Fintech managers and a survey of 1,452 Fintech professionals in management or other senior technology positions such as systems architects. Findings The analysis verified that the trust-building methods and the methods to reduce privacy concerns should be decided at the business model level. Originality/value Trust-building and reducing privacy concerns are added to the nine existing building blocks of the popular Business Model Canvas. The updated Business Model Canvas with 10 building blocks captures more accurately the six AI-focused Fintech business modes identified.","PeriodicalId":47889,"journal":{"name":"Journal of Enterprise Information Management","volume":"52 1","pages":"1-17"},"PeriodicalIF":9.1000,"publicationDate":"2026-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Enterprise Information Management","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1108/jeim-03-2026-0461","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose This research validates that professionals across six artificial intelligence (AI)-focused Fintech business models endorse the inclusion of trust-building and addressing privacy concerns at the business model level. Trust-building and reducing privacy concerns should be one of the building blocks of a modern business model. Design/methodology/approach This research applied a mixed-method approach, analysing 12 interviews with Fintech managers and a survey of 1,452 Fintech professionals in management or other senior technology positions such as systems architects. Findings The analysis verified that the trust-building methods and the methods to reduce privacy concerns should be decided at the business model level. Originality/value Trust-building and reducing privacy concerns are added to the nine existing building blocks of the popular Business Model Canvas. The updated Business Model Canvas with 10 building blocks captures more accurately the six AI-focused Fintech business modes identified.
期刊介绍:
The Journal of Enterprise Information Management (JEIM) is a significant contributor to the normative literature, offering both conceptual and practical insights supported by innovative discoveries that enrich the existing body of knowledge.
Within its pages, JEIM presents research findings sourced from globally renowned experts. These contributions encompass scholarly examinations of cutting-edge theories and practices originating from leading research institutions. Additionally, the journal features inputs from senior business executives and consultants, who share their insights gleaned from specific enterprise case studies. Through these reports, readers benefit from a comparative analysis of different environmental contexts, facilitating valuable learning experiences.
JEIM's distinctive blend of theoretical analysis and practical application fosters comprehensive discussions on commercial discoveries. This approach enhances the audience's comprehension of contemporary, applied, and rigorous information management practices, which extend across entire enterprises and their intricate supply chains.