A model of trust in Fintech and trust in Insurtech: How Artificial Intelligence and the context influence it

被引:17
|
作者
Zarifis, Alex [1 ,2 ]
Cheng, Xusen [3 ]
机构
[1] Univ Nicosia, Nicosia, Cyprus
[2] Univ Cambridge, Cambridge, England
[3] Renmin Univ China, Beijing, Peoples R China
关键词
Fintech; Insurtech; Artificial Intelligence; Trust; Finance; Insurance; E-COMMERCE; CONSUMER ACCEPTANCE; SATISFACTION; TECHNOLOGY; RISK;
D O I
10.1016/j.jbef.2022.100739
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Finance and insurance are being transformed by Artificial Intelligence (AI). Nevertheless, the consumer is not passive in this process and there is some inhibition to trust. This research models trust in Fintech and trust in Insurtech. The two models are then compared to evaluate if trust in both is similar. Multigroup Structural Equation Modelling is used to evaluate if the model is equally valid for Fintech and Insurtech. The model presented here shows that trust in both Fintech and Insurtech are formed by (1) Individuals psychological disposition to trust, (2) Sociological factors influencing trust, (3) Trust in either the financial organization or the insurer and (4) Trust in AI and related technologies. The results of the multigroup analysis show that the model is equally valid for Fintech and Insurtech. This is particularly useful as these services are often offered by the same organization, or even the same mobile application. (C) 2022 The Authors. Published by Elsevier B.V.
引用
收藏
页数:7
相关论文
共 50 条
  • [1] How Much to Trust Artificial Intelligence?
    Hurlburt, George
    [J]. IT PROFESSIONAL, 2017, 19 (04) : 7 - 11
  • [2] Trust in Artificial Intelligence: Exploring the Influence of Model Presentation and Model Interaction on Trust in a Medical Setting
    Wunn, Tina
    Sent, Danielle
    Peute, Linda W. P.
    Leijnen, Stefan
    [J]. ARTIFICIAL INTELLIGENCE-ECAI 2023 INTERNATIONAL WORKSHOPS, PT 2, XAI3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, 2023, 2024, 1948 : 76 - 86
  • [3] How transparency modulates trust in artificial intelligence
    Zerilli, John
    Bhatt, Umang
    Weller, Adrian
    [J]. PATTERNS, 2022, 3 (04):
  • [4] How transparency modulates trust in artificial intelligence
    Institute for Ethics in AI and Faculty of Law, University of Oxford, St Cross Building, St Cross Road, UK, Oxford
    OX1 3U, United Kingdom
    不详
    CB2 1PZ, United Kingdom
    不详
    NW1 2DB, United Kingdom
    [J]. Patterns, 2022, 4
  • [5] Clinician Trust in Artificial Intelligence What is Known and How Trust Can Be Facilitated
    Rojas, Juan C.
    Teran, Mario
    Umscheid, Craig A.
    [J]. CRITICAL CARE CLINICS, 2023, 39 (04) : 769 - 782
  • [6] Trust in Artificial Intelligence
    Sethumadhavan, Arathi
    [J]. ERGONOMICS IN DESIGN, 2019, 27 (02) : 34 - 34
  • [7] Whom to Trust, How and Why: Untangling Artificial Intelligence Ethics Principles, Trustworthiness, and Trust
    Duenser, Andreas
    Douglas, David M.
    [J]. IEEE INTELLIGENT SYSTEMS, 2023, 38 (06) : 19 - 26
  • [8] Attachment and trust in artificial intelligence
    Gillath, Omri
    Ai, Ting
    Branicky, Michael S.
    Keshmiri, Shawn
    Davison, Robert B.
    Spaulding, Ryan
    [J]. COMPUTERS IN HUMAN BEHAVIOR, 2021, 115
  • [9] Artificial Intelligence in economic decision making: how to assure a trust?
    Bejger, Sylwester
    Elster, Stephan
    [J]. EKONOMIA I PRAWO-ECONOMICS AND LAW, 2020, 19 (03): : 411 - 434
  • [10] Misplaced Trust and Distrust: How Not to Engage with Medical Artificial Intelligence
    Starke, Georg
    Ienca, Marcello
    [J]. CAMBRIDGE QUARTERLY OF HEALTHCARE ETHICS, 2022,