For an AI-focused Fintech the approach to trust and privacy must be decided at the business model level

IF 9.1 3区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE
Alex Zarifis,Xusen Cheng
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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.
对于专注于人工智能的金融科技来说,信任和隐私的方法必须在商业模式层面上决定
本研究验证了六种以人工智能(AI)为重点的金融科技商业模式的专业人士支持在商业模式层面纳入信任建立和解决隐私问题。建立信任和减少对隐私的担忧应该成为现代商业模式的基石之一。本研究采用了混合方法,分析了12位金融科技经理的访谈,并对1,452位从事管理或其他高级技术职位(如系统架构师)的金融科技专业人士进行了调查。研究结果表明,建立信任的方法和减少隐私问题的方法应在商业模式层面进行决策。原创性/价值建立信任和减少隐私问题被添加到流行的商业模型画布的九个现有构建块中。更新后的商业模式画布包含10个构建块,更准确地捕获了确定的六种以人工智能为重点的金融科技商业模式。
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来源期刊
CiteScore
14.80
自引率
6.20%
发文量
30
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.
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